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  • Method for Determining Optimum Operational Conditions of Microbubble Scrubber Using Image Processing
    J. Environ. Inform. (IF 5.271) Pub Date : 2021-07-06
    Y. Yoo, H. Park, Y. Choi, J. Jung, H. Song, J. Kim, H. Cho

    This paper presents an image-processing-based model for calculating the interfacial-area concentration (IAC) of a low-pressure microbubble (LPMB) scrubber, which facilitates the determination of operational conditions of the scrubber via flow-pattern analysis. The LPMB scrubber maximizes the interfacial area of two-phase systems using the bubbly flow. Microbubbles have received attention due to their

  • Parameter Uncertainty and Sensitivity Evaluation of Copula-Based Multivariate Hydroclimatic Risk Assessment
    J. Environ. Inform. (IF 5.271) Pub Date : 2021-07-28
    K. Huang, Y. R. Fan

    Extensive uncertainties exist in hydroclimatic risk analysis. Especially in multivariate hydrologic risk inferences, uncertainties in individual hydroclimatic extremes such as floods and their dependence structure may lead to bias and uncertainty in future hydrologic risk predictions. In this study, a parameter uncertainty and sensitivity evaluation (PUSE) framework is proposed to quantify parameter

  • Development of An Integrated Method (MGCMs-SCA-FER) for Assessing the Impacts of Climate Change – A Case Study of Jing-Jin-Ji Region
    J. Environ. Inform. (IF 5.271) Pub Date : 2021-07-28
    H. Mei, Y. P. Li, J. Lv, X. J. Chen, C. Lu, C. Suo, Y. Ma

    In this study, an integrated method (abbreviated as MGCMs-SCA-FER) is developed for assessing the impacts of climate change, which incorporates multiple global climate models (MGCMs), stepwise cluster analysis (SCA), and fixed-effects regression (FER) within a general framework. MGCMs-SCA-FER is capable of (i) dealing with the uncertainty in climate change projection caused by heterogeneity of structures

  • Effects of Mitigation Options on the Control of Methane Emissions Caused by Rice Paddies and Livestock Populations to Reduce Global Warming: A Modeling Study and Comparison with Environmental Data
    J. Environ. Inform. (IF 5.271) Pub Date : 2021-03-25
    S. Sundar, A. K. Mishra, J. B. Shukla

    In this paper, a non-linear mathematical model is proposed and analyzed to study the effects of mitigation options on the control of methane emissions in the atmosphere caused by rice paddies and livestock populations to reduce global warming. In the modeling process, it is assumed that the cumulative biomass density of rice paddies and the density of livestock populations follow logistic models with

  • Comprehensive Study of Evolution of Global Environmental Quality Research Using Informetric Co-Word Network
    J. Environ. Inform. (IF 5.271) Pub Date : 2021-03-25
    Z. La, L. H. Chai

    Global environmental quality is a rapidly developing and complicated subject in need of a new method for evolutionary analyses. This paper proposes an informetric dynamic co-word network to study the evolution of global environmental quality research (GEQR), making a significant contribution to the available literature. First, it was observed that GEQR has been vigorously developing and hotspots have

  • Geospatial Information Diffusion Based on Self-Learning Discrete Regression
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-12-16
    C. F. Huang

    When studying a phenomenon on the earth surface, such as natural disaster, water pollution and land use, the data in some geographic units may be insufficient. Most interpolation models cannot estimate missing data because they rely on continuous assumptions, however most geospatial data is not continuous. In this article, we develop an information diffusion technique, called self-learning discrete

  • An Improved Flood Susceptibility Model for Assessing the Correlation of Flood Hazard and Property Prices using Geospatial Technology and Fuzzy-ANP
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-10-16
    A. Balogun, S. Zhen Quan, B. Pradhan, U. Lawal Dano, S. Yekeen

    This study proposes an integrated Geographic Information System (GIS)Fuzzy Multi-Criteria Decision Making (F-MCDM)model to assess the impacts of flood on residential property prices. Triangular Fuzzy numbers was implemented to address limitationssuch as uncertainty, bias and ambiguity inherent in the conventional Analytic Network Process (ANP) flood model criteria ranking thereby improving the accuracy

  • Spatial Distribution Patterns of Eurasian Otter ( Lutra Lutra ) in Association with Environmental Factors Unravelled by Machine Learning and Diffusion Kernel Method
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-09-24
    S. Hong, T.-S. Chon, G. J. Joo

    In South Korea, the endangered Eurasian otter (Lutra lutra) populations have been recovered throughout the country. To examine the status of otter populations, we monitored spraint densities at 250 ~ 355 sites annually from 2014 to 2017 in the Nakdong River basin. The diffusion kernel method was applied to both binary and continuous spraint data. Two geographical popula - tions were identified: northern

  • Predicting Ground Level Ozone in Marrakesh by Machine-Learning Techniques
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-07-14
    J. Ordieres-Meré, J. Ouarzazi, B. El Johra, B. Gong

    This study was undertaken to produce local, short-term, artificial intelligence-based models that estimate the ozone level with special attention to the relationship between diurnal and nocturnal ozone variations of some primary pollutants and meteorological parameters in the city of Marrakesh, Morocco. Hourly data has been collected from the three air-quality monitoring stations in the city. This

  • Variation of Runoff and Sediment Transport in the Huai River – A Case Study
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    B. Y. Yu, Anhui and Huai Institute of Hydraulic Research, Bengbu, 233000 China, P. Wu, J. Sui, J. Ni, T. Whitcombe, Department of Environmental Systems Engineering, University of Regina, 3737 Wascana Parkway, Regina, S4S 0A2 Canada, Environmental Engineering Program, University of Northern British Columbia, 3333 University Way, Prince George, V2V 4Z9 Canada, Anhui and Huai Institute of Hydraulic Research

    Changes in runoff and sediment transport in the Middle Reach of the Huai River have been studied by using 58 years of field data. The runoff yield from the Huai River watershed mainly occurs in the sub-watershed of the river. At the downstream Wujiadu station, the difference in total drainage area between the south and the north branches of the river is 43% while the difference in runoff yield is only

  • Incorporation of Optimal Limited Ecological Curves into the Operation Chart of Cascade Hydropower Systems to Alleviate Ecological Damages in Hydrological Extremes
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    X. Wen, College of water conservancy and hydropower engineering, Hohai University, Nanjing 210098, China, X. Y. Lei, X. H. Lei, Q. F. Tan, G. H. Fang, X. Wang, C. Wang, Z. H. Liu, State key laboratory of simulation and regulation of water cycle in river basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China, State key laboratory of hydraulics and mountain river engineering

    Most ecological operation charts of hydropower stations have focused on the average ecological benefits over a long period of time, while the possible ecological damage caused by flood or drought is often overlooked or averaged out. This study proposed a new hydropower-ecological operation chart of cascade hydropower stations, in which limited ecological curves were introduced and optimized to alleviate

  • Monte Carlo-Based Agricultural Water Management under Uncertainty: A Case Study of Shijin Irrigation District, China
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    G. Q. Yang, Centre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China, M. Li, P. Guo, Institute of Environmental Science, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, China, Centre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China, Centre for Agricultural Water Research in China, China

    Considering the multiple uncertainties in agricultural water resources management systems, this paper established an agricultural water optimal allocation model under uncertainty for Shijin irrigation district (ID). Uncertainties of four parameters, in- cluding precipitation, available groundwater, purchase prices of crops and crop cultivated area, were fully considered. Agricultural wa- ter allocation

  • Using Satellite Remote Sensing and Machine Learning Techniques Towards Precipitation Prediction and Vegetation Classification
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    D. Stampoulis, Future H2O, Office of Knowledge Enterprise Development, Arizona State University, Tempe, AZ 85281, USA, H. G. Damavandi, D. Boscovic, J. Sabo, Future H2O, Office of Knowledge Enterprise Development, Arizona State University, Tempe, AZ 85281, USA, Center for Assured and Scalable Data Engineering, Arizona State University, Tempe, AZ 85281, USA, Future H2O, Office of Knowledge Enterprise

    The spatial distribution, magnitude and timing of precipitation events are being altered globally, often leading to extreme hydrologic conditions with serious implications to ecosystem services, water, food and energy security, as well as the welfare of billions of people. Motivated by the pressing need to understand, from a hydro-ecological perspective, how the dynamic nature of the hydrologic cycle

  • Numerical Simulation of Water Quality and Self-Purification in a Mountainous River Using QUAL2KW
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    O. Babamiri, Faculty of Engineering and Applied Science, University of Regina, Regina S4S 0A2, Canada, A. Vanaei, X. Guo, P. Wu, A. Richter, K. T. W. Ng, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran 65178-38695, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Institute of Water Resources and Hydropower Research, China 100048, Faculty of Engineering

    Understanding the water quality in mountainous rivers is critical for sustainable water resources management. By using the rivers’ self-purification to improve water quality is also the most economical and sustainable way to clean water. In the present study, the QUAL2KW model is applied to investigate the water quality and self -purification capacity in a mountainous river. The Abbasabad River in

  • Comparing the Performance of an Autoregressive State-Space Approach to the Linear Regression and Artificial Neural Network for Streamflow Estimation
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    Y. Yang, State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Faculty of Geographical Science, B eijing Normal University, Beijing 100875, China, T. T. Huang, Y. Z. Shi, O. Wendroth, B. Y. Liu, State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Geography, Faculty of Geographical Science, B eijing Normal University, Beijing 100875, China

    Accurate streamflow estimation remains a great challenge although diverse modeling techniques have been developed during recent decades. In contrast to the process based models, the empirical data driven methods are easy to operate, require low computing capacity and yield fairly accurate outcomes, among which the state space (STATE) approach takes use of the temporal structures inherent in streamflow

  • Using High Resolution Images from UAV and Satellite Remote Sensing for Best Management Practice Analyses
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    B. Yang, Department of Sociology, University of Central Florida, Orlando, Florida 32816, USA, S. T. Y. Tong, R. Fan, Department of Geography and GIS, University of Cincinnati, Cincinnati, Ohio 45221, USA, Department of Geography and GIS, University of Cincinnati, Cincinnati, Ohio 45221, USA, Department of Geography and GIS, University of Cincinnati, Cincinnati, Ohio 45221, USA

    Best Management Practices (BMPs) are commonly adopted to ameliorate the quality of runoff and reduce the frequency and intensity of flash floods in urban areas. To date, many of the BMP studies are conducted using coarse resolution data. However, the accuracy of such studies may be compromised due to the shortcomings inherent in the input data; as such, the evaluation of the BMP cost-effectiveness

  • Extension of the Constrained Gravitational Search Algorithm for Solving Multi-Reservoir Operation Optimization Problem
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    R. Moeini, Department of Civil Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Isfahan 81746-73441, Iran, M. Soltani-nezhad, Department of Civil Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Isfahan 81746-73441, Iran

    In this paper the proposed constrained gravitational search algorithm (CGSA) is extended and used to solve multi-reservoir operation optimization problem. Tow constrained versions of GSA named partially constrained GSA (PCGSA) and fully constrained GSA (FCGSA) are outlined to solve this optimization problem. In the PCGSA, the problem constraints are partially satisfied, however, in the FCGSA, all the

  • A Stochastic Optimization Model for Carbon-Emission Reduction Investment and Sustainable Energy Planning under Cost-Risk Control
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    L. Ji, School of Economics and Management, Beijing University of Technology, Beijing, 100124, China, G. H. Huang, D. X. Niu, Y. P. Cai, J. G. Yin, Center for Energy, Environment and Ecology Research, UR-BNU, Beijing Normal University, Beijing, 100875, China, Environmental Systems Engineering, Faculty of Engineering and Applied Science, Univeristy of Regina, Regina, Saskatchewan, S4S 0A2, Canada, School

    Restricted by conventional energy resources and environmental space, the sustainable development of urban power sector faces enormous challenges. Renewable energy generation and carbon capture and storage (CCS) are attractive technologies for reducing conventional energy resource consumption and improving CO2 emission mitigation. Considering the limitation of expensive investment cost on their wide

  • Estimation of Forest Leaf Area Index Using Meteorological Data: Assessment of Heuristic Models
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    S. Karimi, Water Engineering Department, Faculty of Agriculture, University of Tabriz, Tabriz 5166616471, Iran, A. H. Nazemi, A. A. Sadraddini, T. R. Xu, S. M. Bateni, A. F. Fard, Water Engineering Department, Faculty of Agriculture, University of Tabriz, Tabriz 5166616471, Iran, Water Engineering Department, Faculty of Agriculture, University of Tabriz, Tabriz 5166616471, Iran, State Key Laboratory

    Leaf Area Index (LAI) is an important structural feature of our ecosystem as it affects energy, carbon, and water exchanges between the land surface and overlying atmosphere. Global scale LAI datasets have been obtained by regression, heuristic data driven, and radiative transfer models using remotely sensed land surface reflectance data. However, the estimation of LAI from remotely sensed data is

  • Improvement of Instantaneous Point Source Model for Simulating Radionuclide Diffusion in Oceans under Nuclear Power Plant Accidents
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    A. F. Zhai, Key Laboratory of Regional Energy and Environmental Systems Optimization, Ministry of Education, North China Electric Power University, 102206, Beijing, China, X. W. Ding, Y. Zhao, W. H. Xiao, B. X. Lu, Key Laboratory of Regional Energy and Environmental Systems Optimization, Ministry of Education, North China Electric Power University, 102206, Beijing, China, Institute for Energy, Environment

    Simulation methods have become an important tool to reveal radionuclide migration during accidental radionuclide releases and predict influences of accidents on the marine environment. The instantaneous point source model is a useful method to simulate the large-scale radionuclide diffusion in marine areas. However, the simulation accuracy of this method requires improvement as it didn’t take radionuclide

  • Impact Study of Impoundment of the Three Gorges Reservoir on Salt-Water Dynamics and Soil Salinity in the Yangtze River Estuary
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    W. P. Xie, State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210 008, China, J. S. Yang, R. J. Yao, X. P. Wang, State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210 008, China, State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science

    As the largest hydropower project in China, the impact of the Three Gorges Project (TGP) on the ecological environment has aroused public attention and has been studied from various aspects. After the TGP was operated, seasonably adjusted runof f by the Three Gorge Reservoir (TGR) might cause great changes of hydrological regime in the lower reaches of the Yangtze River, especially the estuarine areas

  • Space-Time Ground-Level PM2.5 Distribution at the Yangtze River Delta: A Comparison of Kriging, LUR, and Combined BME-LUR Techniques
    J. Environ. Inform. (IF 5.271) Pub Date : 2020-01-01
    L. Xiao, Ocean College, Zhejiang University, Zhoushan, 316000, China, G. Christakos, J. Y. He, Y. C. Lang, Ocean College, Zhejiang University, Zhoushan, 316000, China, Department of Geography, San Diego State University, San Diego, CA, 92182-4493, USA, Ocean College, Zhejiang University, Zhoushan, 316000, China, Ocean College, Zhejiang University, Zhoushan, 316000, China

    Ambient air PM2.5 is one of the major pollutants linked to respiratory and lung diseases in the Yangtze River Delta (YRD), which is China’s leading economic region and one of the top economic regions worldwide. The main objectives of this work is to compare the accuracy of some widely-used techniques to characterize and predict the space-time distribution of ground-level PM2.5 in the YRD, and to propose

  • Insight into the Mechanism of the OH-induced Reaction of Ketoprofen: A Combined DFT Simulation and Experimental Study
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    L. He, Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Jinan 250100, P.R. China., Y. P. Li, F. P. Zhu, X. M. Sun, H. Herrmann, T. Schaefer, Q. Z. Zhang, S. G. Wang, Abteilung Chemie, Leibniz-Institut für Troposphärenforschung, Leipzig 04318, Germany, School of Environment, Beijing Normal University, Beijing

    The OH-induced reactions are the most important reactions for the degradation of pharmaceutical and personal care proucts (PPCPs) in advanced oxidation process (AOP) systems. In this work, the transformation mechanisms of a typical PPCP, ketprofen (KP), are investigated in detail by combined density functional theory (DFT) simulations and laboratory experiments. We find that Habstraction pathways are

  • Reconciling Unevenly Sampled Paleoclimate Proxies: a Gaussian Kernel Correlation Multiproxy Reconstruction
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    J. L. Roberts, Australian Antarctic Division, Kingston, Tasmania 7050, Australia, C. R. Tozer, M. Ho, A. S. Kiem, T. R. Vance, L. M. Jong, F. S. McCormack, T. D. van Ommen, Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Hobart, Tasmania 7001, Australia, Oceans and Atmosphere, CSIRO, Hobart, Tasmania 7001, Australia, Columbia Water Center, Columbia University, New

    Reconstructing past hydroclimatic variability using climate-sensitive paleoclimate proxies provides context to our relatively short instrumental climate records and a baseline from which to assess the impacts of human-induced climate change. However, many approaches to reconstructing climate are limited in their ability to address sampling variability inherent in different climate proxies. We iteratively

  • A Two-Stage Multisite and Multivariate Weather Generator
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Z. Li, State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China, J. J. Li, X. P. Shi, State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, China, State

    The spatial structure of climatic variables synthesized by a weather generator has considerable impact on the modeling of hydrological variability; however, in most cases, it needs computationally intensive work to reproduce multisite and/or multivariate correlations. This work proposed a two-stage weather generator (TSWG) to preserve intersite and intervariable correlations of daily precipitation

  • An Ecosocial Climax Model Based on Concepts of Climax Community for Analyzing Communities in Silas Marner to Ensure Protection of Ecosystem
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    N. Y. Zhou, College of Foreign Languages and Cultures, Xiamen University, Xiamen 361005, China, L .C. Li, College of Foreign Languages and Cultures, Xiamen University, Xiamen 361005, China

    In this study, a theoretical model of ecosocial climax is developed to evaluate human community in order to ensure efficient protection of ecosystem. Unlike previous works that emphasize analysis of nature, the present model are based on such ecological concepts as ecological chain and climax to analyze the problems of ecosocial system. The proposed model is used to compare the two ecosystems in George

  • Accelerating SWAT Simulations Using An In-Memory NoSQL Database
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    D. J. Zhang, College of Computer and Information Engineering, Xiamen University of Technology, Ligong Road 600, Xiamen, Fujian 361024, China, Q. Y. Lin, H. X. Yao, Y. R. He, J. Deng, X. X. Zhang, Digital Fujian Institute of Big Data for Natural Hazards Monitor, Ligong Road 600, Xiamen, Fujian 361024, China, Department of Resources and Environmental Sciences, Quanzhou Normal University, Donghai Street

    Due to its versatility, the Soil and Water Assessment Tool (SWAT) has been widely applied to investigate the effects of management activities and climate change on water availability and quality. However, the use of high spatial resolution data and the advantages of SWAT itself have significantly increased the input/output (I/O) demand and thus the runtime of modeling routines that require a large

  • Exploring Drivers of Nitrate Contamination of Drinking Water in an Arid Region of China
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    G. W. Huang, Graduate School of Global Environmental Studies, Sophia University, 7-1, Kioicho, Chiyoda-ku, Tokyo, 102-8554, Japan, H. Liu, X. Li, M. Ma, Graduate School of Global Environmental Studies, Sophia University, 7-1, Kioicho, Chiyoda-ku, Tokyo, 102-8554, Japan, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China, School

    Nitrate contamination of groundwater is increasingly becoming a global concern due to its potential risks for human health. Fertilizer overuse is often thought to be the cause and a reduction in fertilizer use considered the most effective way of reducing contamination. The present study, however, presents the case of Zhangye City, Gansu Province, China, in which the nitrate contamination of underground

  • Design of Closed Loop Supply Chain of Wood Plastic Composite (WPC) Industry
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    N. Doustmohammadi, Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran, R. Babazadeh, Faculty of Engineering, Urmia University, Urmia, West Azerbaijan Province, Iran

    Substituting woody products with wood plastic composite (WPC) products has attracted many interests in recent years. This article seeks to provide an approach to construct a reliable network of closed loop supply chain (CLSC) facilities for WPC industry. The WPC products could be thoroughly collected and recycled and used as raw material for producing new products. In this paper, a mathematical model

  • Optimal Deployment of a Heterogeneous Air Quality Sensor Network
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    U. Lerner, Technion Enviromatics Laboratory (TechEL) and the Technion Center of Excellence in Exposure Science and Environmental Health (TCEEH), Department of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, The Technion - Israel Institute of Technology, Haifa 320003, Israel, O. Hirshfeld, B. Fishbasin, Department of Environmental, Water and Agricultural

    Accurate assessment of air pollution exposure is crucial to better public health. Routine monitoring is done by standardized Air Quality Monitoring (AQM) stations, which are spread thinly due to size and cost. Recent technological developments have made Wireless Distributed Environmental Sensor Networks (WDESNs) that consist of low-cost Micro Sensing Units (MSUs) feasible. These MSUs can be spread

  • Mixed Integer Linear Programming for Oil Sands Production Planning and Tailings Management
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    M. M. Badiozamani, Mining Optimization Laboratory, School of Mining and Petroleum Engineering, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, T6G 2W2, Canada, E. Ben-Awuah, H. Askari-Nasab, Mining Optimization Laboratory, Bharti School of Engineering, Laurentian University, Ramsey Lake Road Sudbury, ON, P3E 2C6, Canada, Mining Optimization Laboratory, School

    In oil sands open-pit mining, further processing of the extracted oil sands generates massive volumes of tailings. To save space, the tailings are deposited in in-pit tailings containments constructed by internal dykes using mine waste material. In this paper, an integrated mine planning framework is proposed and implemented using mixed-integer linear programming to optimize the production schedule

  • Taxonomic and Functional Responses of Sediment Bacterial Community to Anthropogenic Disturbances in the Yarlung Tsangpo River on the Tibetan Plateau
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    X. Wang, Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China, P. F. Wang, C. Wang, J. Chen, J. Hou, L. Z. Miao, T. Feng, Q. S. Yuan, Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing

    River sediments, functioning as sink and source for nutrients, are one of the most diverse bacteria habitats in freshwater ecosystems. Recently, more attention has been paid to the sediment bacteria because of their important roles in biogeochemical cycling. Our study addresses the question of how sediment bacterial community varies taxonomically and functionally along one of the largest plateau river

  • Water Quality Management of a Cold Climate Region Watershed in Changing Climate
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    N. K. Shrestha, Athabasca River Basin Research Institute (ARBRI), Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada, J. Wang, Athabasca River Basin Research Institute (ARBRI), Athabasca University, 1 University Drive, Athabasca, Alberta T9S 3A3, Canada

    Cold climate regions provide a multitude of ecosystem services. However, cold regions under a changing climate could be more vulnerable than others because their glaciers, freezing soils and peatlands are sensitive to the slightest of changes in climate. This has posed serious threats to the water resources, sustainable goods production and ecosystem services that depend on regional water quality.

  • Mathematical Modeling for Identifying Cost-Effective Policy of Municipal Solid Waste Management under Uncertainty
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Y. P. Li, Department of Environmental Engineering, Xiamen University of Technology, Xiamen 361024, China, G. H. Huang, L. Cui, J. Liu, Department of Environmental Engineering, Xiamen University of Technology, Xiamen 361024, China, Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan S4S 7H9, Canada, Sino-Canada Energy and Environmental Research Center

    In municipal solid waste (MSW) management, many impact factors, such as waste generation rate, treatment capacity, diversion goal, and disposal cost appear uncertain. These uncertainties can result in difficulties in the long-term planning of MSW management activities. A critical issue that decision makers should mitigate is how to address these uncertainties due to a lack of knowledge founded on an

  • China Population Distributions at Multiple Geographical Scales and Their Correlates
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    X. Liu, Curtin University Sustainability Policy Institute (CUSP), Curtin University, Bentley WA 6102, Australia, J. F. Wang, G. Christakos, Y. L. Liao, The State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China, Institute of Island & Coastal Ecosystems, Ocean College

    Most population distribution studies have focused on a single spatial resolution scale, thus, leading to a limited representation of the “real-world”. The present work, instead, proposes a “zoom lens” approach to detect and remove localized variation while retaining the general population distribution trends at multiple resolution scales. Different “focal length optics” are able to eliminate the unnecessary

  • First-Time Estimation of HCHO Column over Asia using Multiple Regression with OMI and MODIS Data
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    W. N. Choi, Division of Earth Environmental System Science Major of Spatial Information Engineering, Pukyong National University, Busan 608-737, Republic of Korea, H. K. Hong, Y. W. Lee, J. Y. Ryu, J. S. Park, H. L. Lee, Division of Earth Environmental System Science Major of Spatial Information Engineering, Pukyong National University, Busan 608-737, Republic of Korea, Division of Earth Environmental

    A multiple regression method (MRM) is used for the first time with Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate formaldehyde (HCHO) column over Asia in two categorized areas: (1) anthropogenic areas in East Asia (east-central China, Beijing, Seoul, and Tokyo) and (2) biogenic and pyrogenic areas (Indochina and South Borneo). In order to

  • Spatio-Temporal Characteristics and Source Apportionment of Water Pollutants in Upper Reaches of Maotiao River, Southwest of China, from 2003 to 2015
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    H. W. Wei, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Science, East China Normal University, 500 Dong Chuan Road, Shanghai 200241, PR China, M. Hassan, Y. Che, Q. K. Peng, Y. L. Su, B. Xie, Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China, Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration

    The Maotiao River is playing an indispensable role in protecting water quality of the Yangtze River of China. Its hydropower development also provides adequate power and clean resources for the local areas. To understand the water quality of the upper reaches (i.e., Maijia River), seven indices such as dissolved oxygen (DO), chemical oxygen demand (CODCr), biochemical oxygen demanded (BOD5), ammonia

  • Assessing the Impact of Precipitation Change on Design Annual Runoff in the Headwater Region of Yellow River, China
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Y. M. Hu, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China, Z. M. Liang, D. P. Solomatine, H. M. Wang, T. Liu, Research Institute of Management Science, Business School, Hohai University, Nanjing 211100, China, College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China, UNESCO-IHE Institute for Water Education, Delft 2601 DA, Netherlands, Water

    A significant decrease in annual runoff (AR) in the headwater region of Yellow River, China, has been observed during the past decades, which produces a recognized impact on long-term water resources management and planning. In this paper, the Pettitt method and Sequential Clustering method are used to detect the change point of AR and annual precipitation (AP) series. On the basis of the change point

  • A Life Cycle Based Air Quality Modeling and Decision Support System (LCAQMS) for Sustainable Mining Management
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Z. Asif, Department of Building, Civil and Environmental Engineering (BCEE), Faculty of Engineering & Computer Sciences, Concordia University, Montreal, Quebec, Canada, Z. Chen, Department of Building, Civil and Environmental Engineering (BCEE), Faculty of Engineering & Computer Sciences, Concordia University, Montreal, Quebec, Canada

    Mining activities contribute the high level of air pollution at ground level and have significant environmental impacts. There is an urge to develop an integrated modeling system which helps to analyze these pollutants and their control strategies. Therefore, a new integrated approach is conceptualized as life cycle based air quality modeling system (LCAQMS) for the mining. This paper focuses on incorporating

  • A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    K. E. Lindenschmidt, Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd., Saskatoon, Saskatchewan S7N 3H5, Canada, P. Rokaya, Global Institute for Water Security, University of Saskatchewan, 11 Innovation Blvd., Saskatoon, Saskatchewan S7N 3H5, Canada

    There is a need to determine the maximum backwater staging possible from ice jam flooding along high flood risk prone sections of northern rivers. Similar to the probable maximum flood PMF, which is primarily estimated for the most extreme open-water floods, probable maximum floods from ice jamming PMFice can provide upper thresholds of water level elevations so essential for infrastructure designed

  • Conservation-Targeted Hydrologic-Economic Models for Water Demand Management
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Y. Xiao, College of Management and Economics, Tianji n University, Tianjin 300072, China, L. Fang, K. W. Hipel, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario M5B 2K3, Canada, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario M5B 2K3, Canada, Department of Systems Design Engineering, University of Waterloo, Waterloo

    Two basin-wide hydrologic-economic optimization models are presented to estimate how much water can be conserved while maintaining at least the same level of economic output. Water consumption is interpreted as either water diverted to consumptive users or water consumed by all users. Two different formulations for representing the two interpretations of water consumption are examined. The characteristics

  • Assessment of Parametric Sensitivity Analysis Methods Based on A Quasi Two-Dimensional Groundwater Model
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Z. H. Di, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China, A. Z. Ye, Q. Y. Duan, X. X. Wang, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China, State Key Laboratory of Earth Surface Processes and

    Parametric sensitivity analysis (SA) aims to select the sensitive parameters that most significantly affect the model output variables, which helps to improve model optimization efficiency by adjusting a small number of sensitive parameters instead of all adjustable parameters. The qualitative and quantitative SA methods have been commonly used to quantify the sensitive parameters of the models. However

  • Effects of Early Dry Season on Habitat Suitability for Migratory Birds in China’s Two Largest Freshwater Lake Wetlands after the Impoundment of Three Gorges Dam
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    H. P. Wu, Changjiang River Scientific Research Institute, Wuhan, 430010, PR China, J. Chen, G. M. Zeng, J. J. Xu, L. H. Sang, Q. Liu, J. Dai, W. P. Xiong, Z. Yuan, Y. Q. Wang, S. J. Ye, Changjiang River Scientific Research Institute, Wuhan, 430010, PR China, College of Environmental Science and Engineering, Hunan University, Changsha 410082, PR China, Key Laboratory of Environmental Biology and Pollution

    Dongting Lake and Poyang Lake, the China’s two largest freshwater lakes, are the most important wintering area and pathways for migratory birds in East Asia. As a result of human activities (impounding of the Three Gorges Dam (TGD), and sand mining) and climate change, the dry season of Dongting Lake and Poyang Lake came early after the impoundment of TGD. And the early dry season (EDS) would change

  • Information Provision in Environmental Policy Design
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    V. Danilina, Aix-Marseille Univ., CNRS, EHESS, Centrale Marseille, AMSE 5-9 Boulevard Bourdet, CS 50498 13205 Marseille Cedex 1, France, A. Grigoriev, Maastricht University School of Business and Economics, QE/SBE, P.O. Box 616, 6200 MD Maastricht, The Netherlands

    Information provision is a relatively recent but steadily growing environmental policy tool. Its emergency and topicality are due to the current escalation of ecological threats. Meanwhile, its high complexity and flexibility require a comprehensive approach to its design, which has to be tailored for specific characteristics of production process, market structure, and regulatory goals. This work

  • Computational Text Analysis of a Scientific Resilience Management Corpus: Environmental Insights and Implications
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    J. Nassour, Computer Science Department, Faculty of Natural Sciences, Ben-Gurion University of the Negev, POB 635, Israel, D. Leykin, M. Elhadad, O. Cohen, PREPARED Center for Emergency Response Research, Ben-Gurion University of the Negev, POB 635, Israel, The Community Stress Prevention Centre (CSPC), P.O. Box 797, Kiryat-Shmona 11016, Israel, Computer Science Department, Faculty of Natural Sciences

    Resilience is a multifaceted concept describing the ability to cope with change or disruption. Its importance in the era of emergency preparedness and response, combined with its multidisciplinary attributes, have led researches to study similarities and differences in the meaning of resilience across various fields. A systematic literature review, conducted in the field of resilience management by

  • DCT-based Least-Squares Predictive Model for Hourly AQI Fluctuation Forecasting
    J. Environ. Inform. (IF 5.271) Pub Date : 2019-01-01
    Z. C. Yang, School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

    Recently the issue of air quality has become a global public health concern. As air pollution has been reported as the largest single environmental health risk in the world, analysis and prediction of air quality is increasingly important. Normally, either statistical models or CTM (“deterministic chemistry-transport”) models are used for forecasting air PM (“particulate matter”) levels. Actually,

  • A Multiple Imputation Strategy for Eddy Covariance Data
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-07-01
    D. Vitale, Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF), University of Tuscia, via San Camillo de Lellis, 01100 Viterbo, Italy, M. Bilancia, D. Papale, Ionian Department of Law, Economics and Environment, University of Bari Aldo Moro, Via Lago Maggiore angolo Via Ancona, 74121 Taranto, Italy, Department for Innovation in Biological, Agro-food and Forest Systems (DIBAF)

    Half-hourly time series of net ecosystem exchange (NEE) of CO2, latent heat flux (LE) and sensible heat flux (H) measured through the micro-meteorological eddy covariance (EC) technique are noisy and show a high percentage of missing data. By using EC measurements that are part of the FLUXNET2015 dataset, we evaluate the performance of a multiple imputation (MI) strategy based on an efficient computational

  • Ceramic Water Filters: A Point-of-Use Water Treatment Technology to Remove Bacteria from Drinking Water in Longhai City, Fujian Province, China
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-07-01
    C. Farrow, School of Engineering, University of Guelph, Guelph N1G 2W1, Canada, E. McBean, G. Huang, A. L. Yang, Y. C. Wu, Z. Liu, Z. N. Dai, T. Cawte, Y. P. Li, School of Engineering, University of Guelph, Guelph N1G 2W1, Canada, School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China, Faculty of Engineering and Applied Science, University of Regina,

    While provision of safe drinking water is considered a basic human right, there are major challenges in the developing world for its provision. The ability to deliver safe water using a cost-appropriate technology is a major aspect of the problem. One of the technologies that has the potential to contribute significantly is the ceramic water filter (CWF); however, as shown herein, there are significant

  • Fine Resolution Carbon Dioxide Emission Gridded Data and their Application for China
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-07-01
    B. F. Cai, The Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, 8 Dayangfang, Beiyuan Road, Chaoyang District, Beijing 100012, China, X. Q. Mao, J. N. Wang, M. D. Wang, School of Environment, Beijing Normal University, Beijing 100875, China, The Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, 8 Dayangfang

    Based on the China National Pollution Source Census database that has been updated to 2012, and the China High Resolution Emission Gridded Data Version 1.0, a 1 km × 1km finer resolution emission gridded database of CO2, CHRED 2.0, is developed. In the paper, the method, the data sources, a conceptual foundation for the data analysis, and an application in a spatial pattern analysis of CO2 emission

  • Mining Spatio-temporal Data on Industrialization from Historical Registries
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    D. Berenbaum, Data Science Practice, Computing & Information Services, Brown University, 3 Davol Square, Providence, RI 02912, USA, D. Deighan, T. Marlow, A. Lee, S. Frickel, M. Howison, Data Science Practice, Computing & Information Services, Brown University, 3 Davol Square, Providence, RI 02912, USA, Institute at Brown for Environment and Society, Brown University, 80 Waterman Street, Providence

    Despite the growing availability of big data in many fields, historical data on socioevironmental phenomena are often not available due to a lack of automated and scalable approaches for collecting, digitizing, and assembling them. We have developed a data-mining method for extracting tabulated, geocoded data from printed directories. While scanning and optical character recognition (OCR) can digitize

  • An Entropy Based Model for Velocity-Dip-Position
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    S. Kundu, Department of Basic Sciences and Humanities, IIIT Bhubaneswar, Odisha 751 003, India, K. Ghoshal, Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur 721302, India

    In this study, theoretical models have been developed to predict the velocity-dip-position in steady and uniform turbulent flow through open channels. Unlike the previous works where empirical or semi-empirical models were suggested, the present models are developed from a mathematical approach based on the concept of entropy theory. Considering dimensionless dip-position as a random variable and starting

  • The Hillslope Length Impact on SWAT Streamflow Prediction in Large Basins
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    A. Malagò, European Commission Joint Research Centre (JRC), Directorate-Sustainable Resources, via Enrico Fermi 2749, Ispra 21027, Italy, O. Vigiak, F. Bouraoui, L. Pagliero, M. Franchini, European Commission Joint Research Centre (JRC), Directorate-Sustainable Resources, via Enrico Fermi 2749, Ispra 21027, Italy, European Commission Joint Research Centre (JRC), Directorate-Sustainable Resources, via

    The objective of this study was to assess the impact of hillslope length on Soil and Water Assessment Tool (SWAT) streamflow predictions in large basins using three methods for hillslope length calculation (the SWAT method, L1; a 3D analysis method, L2; a constant value, L3) combined with two DEMs (pixel size of 25 and 100 m), for a total of six DEML configurations that were tested in the Upper Danube

  • Tree-Based Methods: Concepts, Uses and Limitations under the Framework of Resource Selection Models
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    J. Carvalho, Department of Biology, Centre for Environmental and Marine Studies, University of Aveiro, Aveiro 3810-193, Portugal, J. P. V. Santos, R. T. Torres, F. Santarém, C. Fonseca, Servei d'Ecopatologia de Fauna Salvatge, Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain, Department of Biology, Centre for Environmental and Marine Studies, University

    The use of empirical models to predict species distribution is recognized as an important tool in wildlife management. Tree-based methods gained considerable attention in the last years mostly due to their flexibility and robustness. Here, we provide an overview of tree-based methods by addressing some of their concepts, uses and limitations. For illustrative purposes, we modelled the distribution

  • Prediction of the Standard Deviation of Wind Speed Turbulence
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    G. R. Ren, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China, J. F. Liu, J. Wan, Q. H. Hu, D. R. Yu, Department of Electric Power and Energy Systems, KTH Royal Institute of Technology, Stockholm, Sweden, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang, China, School of Energy Science and Engineering,

    Turbulent wind speed is a vital component of wind speed, corresponding to the small-scale uncertainty of wind speed. The wind power output and aerodynamic loads are significantly influenced by turbulent wind speed. The present paper concentrates on the study of turbulent wind speed prediction, which is hardly addressed in previous studies and is a novel approach to understand turbulent wind speed in

  • Quantification of Uncertainty Propagation Effects during Statistical Downscaling of Precipitation and Temperature to Hydrological Modeling
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    H. Wu, The Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University, St. John’s, A1B 3X5, Canada, B. Chen, K. Snelgrove, L. M. Lye, The Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University, St. John’s, A1B 3X5, Canada, Faculty of Engineering

    To understand the water balance and other environmental impacts under climate change condition, hydrological models are used to simulate the hydrological cycle and predict future scenarios by using general circulation models (GCMs) outputs. Due to the mismatch of the spatial resolution, different downscaling techniques are usually applied to GCMs outputs to generate higher resolution data for the use

  • A Stochastic-Process-Based Method for Assessing Frequency Regulation Ability of Power Systems with Wind Power Fluctuations
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    Y. Guo, School of Electrical Engineering and automation, Harbin Institute of Technology, Harbin, 150001 China, Q. Wang, D. Zhang, D. Yu, J. Yu, School of Electrical Engineering and automation, Harbin Institute of Technology, Harbin, 150001 China, School of Electrical Engineering and automation, Harbin Institute of Technology, Harbin, 150001 China, Korea School of Energy Science and Engineering, Harbin

    The increasing penetration of wind power raises the problem of maintaining grid frequency stability. The purpose of this paper is to quantitatively describe the relationship between wind power fluctuations and grid frequency deviation. The fluctuation characteristics of wind power are analyzed in multi-time scales by wavelet methods. Then, a mathematical model representing wind power fluctuations is

  • Index-Based Study of Future Precipitation Changes over Subansiri River Catchment under Changing Climate
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    G. Shivam, Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam-781039, India, M. K. Goyal, A. K. Sarma, Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam-781039, India, Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam-781039, India

    This study focuses on the long-term (2011-2100) changes in precipitation indices under different climate change scenarios in Subansiri river basin, a tributary of Brahmaputra River in Northeast India. The fifth phase coupled model intercomparison project (CMIP5) data for different representative concentration pathways (RCPs) scenarios as suggested by Intergovernmental Panel on Climate Change (IPCC)

  • Extension of the Hybrid Ant Colony Optimization Algorithm for Layout and Size Optimization of Sewer Networks
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    R. Moeini, Department of Civil Engineering, Faculty of Civil Engineering and Transportation, University of Isfahan, Isfahan 81746-73441, Iran, M. H. Afshar, School of Civil Engineering & Enviro-hydroinformatic Center of Excellence, Iran University of Science and Technology, Tehran 16765-16, Iran

    In this paper, the incremental solution building capability of Ant Colony Optimization Algorithm (ACOA) is exploited using a Tree Growing Algorithm (TGA) augmented with the efficiency of Nonlinear Programming (NLP) methods leading to a hybrid ACOA-TGA-NLP algorithm for the effective layout and pipe size optimization of pumped/gravitational sewer networks. Solution of layout and pipe size optimization

  • A Parsimonious Framework of Evaluating WSUD Features in Urban Flood Mitigation
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    W. Lu, School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, X. S. Qin, C. Jun, School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Environmental Process Modelling Centre (EPMC), Nanyang Environment and Water Research Institute (NEWRI), Nanyang Technological University,

    In this study, a parsimonious framework for supporting Water Sensitive Urban Design (WSUD) was proposed to seek a tradeoff between investment of WSUD features and mitigation of urban flood damage. A two-dimensional (2D) hydrological-hydraulic simulation model, PCSWMM, was adopted to simulate the rainfall-runoff process and inundation scenarios, and the flood damages was evaluated based on inundated

  • PLL Performance Evaluation Considering Power System Dynamics for Grid Connection of Renewable Power Generation
    J. Environ. Inform. (IF 5.271) Pub Date : 2018-01-01
    W. J. Du, The State Key Laboratory of Alternate Electric Power Systems with New Energy Resources, North China Electric Power University, Changping District, Beijing, China, 102206, X. Chen, H. F. Wang, The State Key Laboratory of Alternate Electric Power Systems with New Energy Resources, North China Electric Power University, Changping District, Beijing, China, 102206, The State Key Laboratory of

    Successful vector control for grid connection of renewable power generation relies on accurate and fast tracking of the voltage phase at the point of common coupling using a phase-locked loop (PLL). In this study, we propose a method to evaluate the effect of power system dynamics on the PLL performance. Simulation results demonstrate that the PLL performance is considerably affected by the power system

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