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Data analysis and preprocessing techniques for air quality prediction: a survey Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-18 Chengqing Yu, Jing Tan, Yihan Cheng, Xiwei Mi
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GHPSO-ATLSTM: a novel attention-based genetic LSTM to predict water quality indicators Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-17 Rosysmita Bikram Singh, Kanhu Charan Patra, Avinash Samantra
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Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-16 Ozgur Kisi, Salim Heddam, Kulwinder Singh Parmar, Zaheer Mundher Yaseen, Christoph Kulls
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Heavy metal pollution status, children health risk assessment and source apportionment in farmland soils in a typical polluted area, Northwest China Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-14
Abstract Sewage irrigation solves rural water problems, pollutants in wastewater are retained in agricultural soils and enter the human body through crops, jeopardizing human health. Here, contamination features, source apportionments, and associated health risks from agricultural soils were systematically investigated in the Dongdagou Watershed. According to descriptive statistics and heavy metal
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Prediction of agricultural nonpoint source pollution in highly urbanised areas based on shared socioeconomic pathways: a case study of Taihu Lake Basin Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-12 Dongying Sun, Xiaoxu Wang, Gang Liu
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Spatial-temporal hurdle model vs. spatial zero-inflated GARCH model: analysis of weekly dengue fever cases Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-09 Cathy W. S. Chen, Chun-Shu Chen
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Multi-scale extraction and spatial analysis of growth pattern changes in urban water bodies using sentinel-2 MSI imagery: a study in the central part of India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-09 Rubeena Vohra, Ashish Kumar, Gopinadh Rongali
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A novel self-adjusting weight approximation procedure to minimize non-identical seasonal effects in multimodel ensemble for accurate twenty-first century drought assessment Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-07 Rubina Naz, Zulfiqar Ali
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Evaluation of hydrological variabilities of water quality models considering event-based scenarios: A case study Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-07
Abstract Given the significant momentum of developing water quality models to simulate water quality variables and support decision-making, the literature recognizes the importance of addressing uncertainties embedded in the water quality models, such as inherent, parametric, and hydrological uncertainties. However, previous studies have not extensively examined the magnitude of hydrological events
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Flood risk mapping under changing climate in Lower Tapi river basin, India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04 Vishal Chandole, Geeta S. Joshi, Vijay Kumar Srivastava
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Risk assessment for extreme air pollution events using vine copula Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04
Abstract This study proposes an alternative risk assessment approach for evaluating extreme air pollution events through vine copula modeling. Three characteristics of unhealthy air pollution events (i.e., severity, intensity, and duration) in Klang, Malaysia, are examined. The vine copula is fitted using sequential maximum likelihood estimation and joint maximum likelihood estimation, with a subsequent
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Comparison of probability distributions used for harnessing the wind energy potential: a case study from India Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-04 Gaurav Kumar Gugliani, Christophe Ley, Najmeh Nakhaei Rad, Andriette Bekker
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A new diagram for performance evaluation of complex models Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-02
Abstract In the latest years the capacity and complexity of climate and environmental modeling has increased considerably. Therefore, tools and criteria for model performance evaluation are needed to ensure that different users can benefit from model selection. Among graphical tools, Taylor’s diagram is widely used to provide evaluation and comparison of model performances, with particular emphasis
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Debris flow susceptibility assessment based on boosting ensemble learning techniques: a case study in the Tumen River basin, China Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-02 Zelu Chen, Hechun Quan, Ri Jin, Zhehao Lin, Guangzhu Jin
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Identification of physical processes and unknown parameters of 3D groundwater contaminant problems via theory-guided U-net Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-01 Tianhao He, Haibin Chang, Dongxiao Zhang
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Tsunami insurance portfolio optimization for coastal residential buildings under non-stationary sea level rise effects based on sample average approximation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-03-01 Abdul Kadir Alhamid, Mitsuyoshi Akiyama, Shunichi Koshimura, Dan M. Frangopol, Higuma So
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Multidimensional risk meteorological-soil joint drought (MR-MSJD) in China’s crop planting Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-25
Abstract During the present era of climate change, recognizing non-stationarity is crucial when assessing the inevitability of meteorological droughts. Agricultural drought is the focus of agricultural production. With improved drought detection methods and diverse indices, comprehensively characterizing agricultural drought requires consideration of multiple factors. Hence, this study integrates non-stationary
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Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-24 Bin Xiong, Shuchen Zheng, Qiumei Ma, Chun Fu, Tianfu Wen, Zhongzheng He, Lingqi Li, Chong-Yu Xu
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Quantifying uncertainty in future sea level projections downscaled from CMIP5 global climate models Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-21 S. Sithara, S. K. Pramada, Santosh G. Thampi
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Stochastic modeling of geological domains using a truncated Gaussian collocated co-simulation approach Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-18 Collins G. Adoko, Nasser Madani
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Performance of multisite streamflow stochastic generation approaches for a multi-reservoir system Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-16 Yufei Ma, Ping-an Zhong, Guoqing Wang, Yao Xiao
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Contaminant source identification in an aquifer using a Bayesian framework with arbitrary polynomial chaos expansion Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-16 Guodong Zhang, Teng Xu, Chunhui Lu, Yifan Xie, Jie Yang
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Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-14 Mohammed Achite, Oguz Simsek, Adarsh Sankaran, Okan Mert Katipoğlu, Tommaso Caloiero
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Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-12 Erfan Firuzi, Anooshiravan Ansari, Kambod Amini Hosseini, Nazila Kheirkhah
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Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-12 Tuong Quang Vo, Manh Van Doi, Jongho Kim
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Exploring substitution random functions composed of stationary multi-Gaussian processes Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-09 Julien Straubhaar, Philippe Renard
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The relationship between ENSO, IOD and SAM with extreme rainfall over South America Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-03 Maria Florencia Iacovone, Vanesa C. Pántano, Olga C. Penalba
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Local-scale integrated seismic risk assessment using satellite data and field information in Northern Pakistan Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Tanveer Ahmed, Khaista Rehman, Muhammad Shafique, Nisar Ali Shah, Muhammad Waqar Azeem
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High performance machine learning approach for reference evapotranspiration estimation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Mohammed S. Aly, Saad M. Darwish, Ahmed A. Aly
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Estimation of model parameters and simulation of earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-02-01 Pengfei Dang, Jie Cui, Qifang Liu
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A parsimonious, computationally efficient machine learning method for spatial regression Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-28 Milan Žukovič, Dionissios T. Hristopulos
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Application of the Global Uncertainty and Sensitivity Analysis to assess the importance of deadwood characteristics for forest biodiversity Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-26 Adriano Mazziotta, Annika Kangas, Irene De Pellegrin Llorente, Olli-Pekka Tikkanen, Kyle Eyvindson
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Connectedness of green financing, green energy and technological progress towards energy transition and climate goal: exposition of the best practise to achieve sustainable environmental development Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-25 Jian Li, Edmund Ntom Udemba, Burçin Çakır Gündoğdu
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Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-25 Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
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SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-24 Ankur Sharma, Ruchi Khare, Mahendra Kumar Choudhary
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Elevational trends of land surface temperature in the Alborz Mountains within the context of global warming Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-24
Abstract Much recent scientific focus has been on the impact of climate change on human and natural environments. However, a particular research gap that we address is evaluating the effect of global warming on land surface temperatures across different spatial contexts, such as elevation, in mountain regions. Our aim is to establish the effect of global warming on daytime land surface temperatures
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Optimizing identification of mine water inrush source with manifold reduction and semi-supervised learning using improved autoencoder Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-22 Shichao Wang, Peihe Zhai, Xiaoge Yu, Jin Han, Longqing Shi
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Do geopolitical risk and economic policy uncertainty cause CO2 emissions in BRICS? The role of institutional quality and energy productivity Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-19 Xiangying Cui, Weizheng Wang, Cem Işık, Ijaz Uddin, Jiale Yan, Xiao Gu, Maaz Ahmad
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How global warming data are modeled via some novel mathematical programming scenarios in distributed lag model? Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-13
Abstract The method of Almon reduces multicollinearity in some degree in distributed lag model, however multicollinearity may not be recovered since Almon estimator depends on the use of ordinary least squares technique. In this context, Almon ridge estimator including one biasing parameter is commonly preferred in this model. Based on recent advances, biased estimators that have more than one biasing
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Building information modeling integrated with environmental flood hazard to assess the building vulnerability to flash floods Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-13 Mohamed Wahba, Mahmoud Sharaan, Wael M. Elsadek, Shinjiro Kanae, H. Shokry Hassan
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A new interpretable prediction framework for step-like landslide displacement Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-12 Peng Shao, Hong Wang, Ke Hu, Quan Zhao, Haoyu Zhou, Guangyu Long, Jianxing Liao, Yuanyuan He, Fei Gan
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Bayesian joint longitudinal models for assessing the exploitation rates of sardine stock in the Mediterranean Sea Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-12 Gabriel Calvo, Carmen Armero, Luigi Spezia, Maria Grazia Pennino
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Sensitivity analysis in the wavelet domain: a comparison study Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-12 Gabriele Chiogna, Giorgia Marcolini, Michael Engel, Barbara Wohlmuth
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An intensified linear diophantine fuzzy combined DEMATEL framework for the assessment of climate crisis Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-11 Jeevitha Kannan, Vimala Jayakumar, Mahalakshmi Pethaperumal, Ashma Banu Kather Mohideen
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Source-specific probabilistic health risk assessment of potentially toxic elements in groundwater of a copper mining and smelter area Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-09 Jelena Vesković, Sandra Bulatović, Andrijana Miletić, Tamara Tadić, Bojana Marković, Aleksandra Nastasović, Antonije Onjia
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Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-09 Ismail Colkesen, Muhammed Yusuf Ozturk, Osman Yavuz Altuntas
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Reliability analysis of three-dimensional reinforced slope considering the spatial variability in soil parameters Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-06 Yuke Wang, Linlan Shao, Yukuai Wan, Hao Chen
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Generalized logistic model for r largest order statistics, with hydrological application Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-05 Yire Shin, Jeong-Soo Park
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Evaluating tide level under extreme rainfall in a large coastal basin Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-05 Leizhi Wang, Zhenduo Zhu, Lingjie Li, Pengxin Deng, Xiting Li, Song Xie, Yongwei Gai, Xiaohan Xia
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Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-03
Abstract Heavy metals in dust have been found to be a significant threat to human health, but how dust sources and physicochemical properties influence the distribution of heavy metals has not been fully investigated. Fuzhou, a Chinese subtropical city, was chosen as a case in this study. We collected 51 dust samples from open spaces, in order to serve as an early warning system for heavy metals in
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Risk assessment of meteo-groundwater drought using copula approach in the arid region Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2024-01-02
Abstract Groundwater serves as the primary source of freshwater in arid and semi-arid regions, rendering them resilient against precipitation scarcity. Various aspects of the drought phenomenon necessitate the application of multivariate analysis and composite drought indices. These composite indices afford a more comprehensive understanding of various drought types. However, few studies have considered
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Radionuclides deposition on sea surface following hypothetical accidental releases at Korean nuclear power plant Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-31
Abstract The scenarios of deposition on the sea surface around the Korean Peninsula following hypothetical release at Kori NPP were studied by application of the atmospheric transport model FLEXPART. The series of 1460 dispersion scenarios was calculated, covering the time period of 1 year. The total depositions on the surfaces of the East/Japan Sea (EJS), Yellow Sea (YS), East China Sea (ECS), and
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3D super-resolution reconstruction of porous media based on GANs and CBAMs Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-29 Ting Zhang, Ningjie Bian, Qingyang Liu, Yi Du
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Temporal and spatial pattern analysis and susceptibility assessment of geological hazards in Hunan Province of China from 2015 to 2022 Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-28 Hao-Hua Tian, Ting Xiao, Biao Shu, Zu-Wu Peng, De-Bao Meng, Min Deng
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Robust augmented estimation for hourly PM $$_{2.5}$$ using heteroscedastic spatiotemporal models Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-22 Yanan Song, Jinran Wu, Liya Fu, You-Gan Wang
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A local correlation integral method for outlier detection in spatially correlated functional data Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-21 Jorge Sosa, Paula Moraga, Miguel Flores, Jorge Mateu
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Exploring climate extremes in Brazil’s Legal Amazon Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-21 Paulo Miguel de Bodas Terassi, Emerson Galvani, João Paulo Assis Gobo, Antonio Carlos da Silva Oscar-Júnior, Wanderson Luiz-Silva, Bruno Serafini Sobral, Givanildo de Gois, Vitor Hugo Rosa Biffi
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Characterization, source identification and risk assessment of POPs (PAHs, PCBs, and OCPs) in indoor dusts from two metropolitan cities (Istanbul and Kocaeli) of Türkiye with intensive industrial and human activities Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-21 Beyza Yüce, Barış Güzel, Oltan Canlı, Burcu Onat
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Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-18 Asif Iqbal, Tanveer Ahmed Siddiqi
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Uncertainty reduction in flood areas by probabilistic analyses of land use/cover in models of two-dimensional hydrodynamic model of dam-break Stoch. Environ. Res. Risk Assess. (IF 4.2) Pub Date : 2023-12-16 Isabella Machado Almeida, Hersilia Andrade Santos, Osmar de Vasconcelos Costa, Vitória Barbosa Graciano