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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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,

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

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

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

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

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

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.

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

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

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

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

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

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

This article proposes and verifies a novel intelligence approach for modelling forest fire danger, namely ICA-RVM, developed based on Relevance Vector Machine (RVM) and Imperialist Competitive Algorithm (ICA), state-of-the art machine learning techniques that have not been investigated for forest fire danger modeling. RVM is used to establish a prediction model that computes probability of fire danger

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

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

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

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

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

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

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

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

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)

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

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

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

Energy consumption is a primary issue needed to be considered for wastewater treatment targeting qualified effluent. In this paper, a hybrid model is proposed for rapid diagnosis of operational conditions meeting requirements of discharge standards and energy saving in Carrousel Oxidation Ditches (ODs). Based on a three-dimensional (3D) three-phase computational fluid dynamics (CFD) model, we developed

With decarburization of the electrical grid, the penetration of renewable energy generators (REGs) is increasing. Consequently, the operating environment of the electrical grid is greatly altered and the existing protection system for the electrical grid cannot adapt to the new environment. In order to solve the existing protection problems, the equivalent model for calculating short-circuit current

A central problem in time series analysis is the detection of outliers, with further complications presented by irregular time series data measured having spatiotemporal components. This paper presents one Heuristic and two Supervised Machine Learning algorithms for the detection of outliers in this context in univariate time series data, with comparison of results to Chen and Liu's (1993) automatic

The Laoguanhe River is a major tributary of the Danjiang River, which is the source water source for the Danjiangkou Reservoir (i.e., the source reservoir for the middle route of the South-to-North Water Diversion Project in China). This study was intended to provide scientific decision support to help manage the water environment in the Laoguanhe River and maintain high water quality levels for the

Making use of the steam heat storage in thermal generators enables them to operate in a "fast mode" to ramp up or down faster than regular, so as to better catch up with the fluctuations of wind power to improve system wind utilization. In such fast mode, generators have output dependent ramp rates and, distinguished from regular units, output and ramp rate dependent coal consumption costs. These fast

The concept of sustainable environmental management is expressed on the basis of ecosystem services as it enables getting to the quantitative measures. A practical utilization of this interpretation of sustainability requires a mechanism whereby all the goods and services provided by ecosystems are adequately quantified, valuated and incorporated in the decision-making process. Each of these tasks

This paper reports a non-invasive method for in situ biofilm quantification based on the use of hyperspectral imaging to analyze a chromatically and texturally heterogeneous substrate as granite colonized by green algae and cyanobacteria. Biofilm-forming microorganisms were inoculated on granite blocks and incubated under laboratory conditions for 21 days. The intensity of the green stains formed on

This study has proposed and investigated a novel input variable selection method for nonlinear modelling based on principle component analysis (PCA) and cluster analysis. The proposed approach was applied to daily rainfall-runoff modelling of the Brue catchment of the United Kingdom using wavelet based hybrid forms of two nonlinear models, Artificial Neural Networks (ANNs) and Local Linear Regression

Rationale: A great wealth of studies expound on the impact of water and sanitation facilities on sustainable human development. But even though water-sanitation nexus is acknowledged in WaSH (Water-Sanitation-Hygiene) literature, they are seldom assessed collectively. In rural India, open defecation is still a major threat to human health, as much as potable water quality. Unfortunately, no study yet

Harmful algal blooms (HABs) have become a global issue due to their serious threat to environmental ecology and rapid expansion around the world. Northeast China, characterized by a long ice period, has been ignored in the previous studies of HABs. However, Lake Hulun, a great lake located in Northeast China, has been found intense HABs since the 1980s. To evaluate HABs more precisely and efficiently

Riverine systems are primary habitats for aquatic species. Great efforts have been made to understand interaction between aquatic organism and various environmental factors in specific reaches of a river, yet little was known about how to identify habitats in river networks. In this paper, a comprehensive approach was proposed for identification of aquatic habitats in hierarchical river systems in

A generalized model for detecting the incipient wind turbine (WT) faulty condition based on the data collected from wind farm supervisory control and data acquisition (SCADA) system is proposed in this paper. The linear combination prediction approach and the information entropy are integrated to develop the generalized model, in which the linear combination prediction approach improves the accuracy

Object oriented image classification (OOIC) and neural network aided Markov Chain (MC) modeling tools were used to map and predict land use and land cover (LULC) changes. A case study in the Kiskatinaw River Watershed (KRW) of Canada was presented. With an overall classification accuracy of 90.45%, the multi-temporal Landsat satellite images of KRW were analyzed for 11 selected LULC types. It was found