Stochastic Environmental Research and Risk Assessment

Papers
(The median citation count of Stochastic Environmental Research and Risk Assessment is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction134
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process77
Projections of precipitation over China based on CMIP6 models74
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model69
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India66
Stream water quality prediction using boosted regression tree and random forest models65
Review of landslide susceptibility assessment based on knowledge mapping63
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries57
Exposure and health: A progress update by evaluation and scientometric analysis55
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression54
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India52
Artificial Intelligence models for prediction of the tide level in Venice49
A probabilistic-deterministic analysis of human health risk related to the exposure to potentially toxic elements in groundwater of Urmia coastal aquifer (NW of Iran) with a special focus on arsenic s49
Development of new machine learning model for streamflow prediction: case studies in Pakistan47
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India46
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction46
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach40
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China39
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios39
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions39
Developing hybrid time series and artificial intelligence models for estimating air temperatures37
Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis37
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model36
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran36
A new soft computing model for daily streamflow forecasting35
A new principal component analysis by particle swarm optimization with an environmental application for data science35
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment33
Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble31
Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification31
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model30
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model30
Hybrid deep learning method for a week-ahead evapotranspiration forecasting30
Trivariate joint probability model of typhoon-induced wind, wave and their time lag based on the numerical simulation of historical typhoons30
Data-driven approaches for runoff prediction using distributed data29
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries28
Land subsidence prediction using recurrent neural networks28
Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries28
Impact of climate change on crop water and irrigation requirements over eastern Himalayan region28
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach27
Peaks-over-threshold model in flood frequency analysis: a scoping review27
Artificial intelligence application in drought assessment, monitoring and forecasting: a review27
Identification of anthropogenic contribution to wetland degradation: Insights from the environmetric techniques27
Environmental regulations, Chinese-style fiscal decentralization, and carbon emissions: from the perspective of moderating effect27
Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir27
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models26
Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping25
Prediction of heat waves over Pakistan using support vector machine algorithm in the context of climate change25
Rainfall forecasting in upper Indus basin using various artificial intelligence techniques24
A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states24
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India23
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information23
Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts23
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach23
Changes in climatic patterns and tourism and their concomitant effect on drinking water transfers into the region of South Aegean, Greece23
Projected changes in thermal bioclimatic indicators over the Middle East and North Africa under Paris climate agreement22
Artificial neural network and multi-criteria decision-making models for flood simulation in GIS: Mazandaran Province, Iran21
Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India21
Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP621
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis21
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain20
A clustering-based approach for prioritizing health, safety and environment risks integrating fuzzy C-means and hybrid decision-making methods20
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost20
Decoding trend of Indian summer monsoon rainfall using multimethod approach20
A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area20
Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity19
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region19
Spatial modeling of susceptibility to subsidence using machine learning techniques19
Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India19
Impact of climate change on stormwater drainage in urban areas18
Evaluation and obstacle factors of coordination development of regional water-energy-food-ecology system under green development: a case study of Yangtze River Economic Belt, China18
Probable streamflow changes and its associated risk to the water resources of Abuan watershed, Philippines caused by climate change and land use changes18
New design of water-energy-food-environment nexus for sustainable agricultural management18
The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities18
Concentration, distribution and probabilistic health risk assessment of exposure to fluoride in drinking water of Hormozgan province, Iran18
Western North Pacific tropical cyclone track forecasts by a machine learning model18
Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL)18
Error covariance tuning in variational data assimilation: application to an operating hydrological model18
Parametrisation of change-permitting extreme value models and its impact on the description of change18
Multiple-point geostatistical simulation based on conditional conduction probability18
Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills17
Developing reservoir evaporation predictive model for successful dam management17
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India17
Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model17
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic17
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction16
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany16
A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach16
Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models16
From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations16
Deep learning-based uncertainty quantification of groundwater level predictions16
Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake16
On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks16
Application of deep learning to large scale riverine flow velocity estimation16
A revised range of variability approach considering the morphological alteration of hydrological indicators16
Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin15
A quantitative analysis of research trends in flood hazard assessment15
Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model15
Deep learning-based assessment of flood severity using social media streams15
Spatio-temporal analysis of fire occurrence in Australia15
An assessment of snow-glacier melt runoff under climate change scenarios in the Himalayan basin15
Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR15
Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review15
Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan15
Models for the difference of continuous covariance functions14
Constructed wetland management in urban catchments for mitigating floods14
A hundred years of Caposele spring discharge measurements: trends and statistics for understanding water resource availability under climate change14
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential14
Spatio-temporal analysis of heating and cooling degree-days over Iran14
Power-law behaviors of the duration size of unhealthy air pollution events14
Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements14
Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index14
Do geopolitical risk and economic policy uncertainty cause CO2 emissions in BRICS? The role of institutional quality and energy productivity14
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India14
Use of fractal models to define the scaling behavior of the aquifers’ parameters at the mesoscale13
Investigating variation characteristics and driving forces of lake water level complexity in a complex river–lake system13
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate13
Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method13
Study of temporal streamflow dynamics with complex networks: network construction and clustering13
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study13
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data13
Using data-driven algorithms for semi-automated geomorphological mapping13
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak13
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji13
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran13
Environmental, ecological and health risks of boron in agricultural soils of Amik Plain under Mediterranean conditions13
Multi-model streamflow prediction using conditional bias-penalized multiple linear regression13
A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)13
Vine copula and cloud model-based programming approach for agricultural water allocation under uncertainty13
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms12
Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model12
Research on stage-divided water level prediction technology of rivers-connected lake based on machine learning: a case study of Hongze Lake, China12
The Bayesian Susceptible-Exposed-Infected-Recovered model for the outbreak of COVID-19 on the Diamond Princess Cruise Ship12
Comparative analysis of two drought indices in the calculation of drought recovery time and implications on drought assessment: East Africa's Lake Victoria Basin12
Using Harris hawk optimization towards support vector regression to ozone prediction12
Investigating the spatio-temporal variations of the impact of urbanization on haze pollution using multiple indicators12
Effects of estimation techniques on generalised extreme value distribution (GEVD) parameters and their spatio-temporal variations12
Estimation of short-lived climate forced sulfur dioxide in Tehran, Iran, using machine learning analysis12
A framework for projecting future streamflow of the Yalong River basin to climate change12
Adaptive neuro fuzzy inference system (ANFIS) machine learning algorithm for assessing environmental and socio-economic vulnerability to drought: a study in Godavari middle sub-basin, India12
Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies12
Development of a quantitative risk assessment method for a biomass gasification unit by combining DEMATEL-ISM and CM-TOPSIS12
Wildfire susceptibility mapping using two empowered machine learning algorithms12
Application of complex networks for monthly rainfall dynamics over central Vietnam12
Predict water quality using an improved deep learning method based on spatiotemporal feature correlated: a case study of the Tanghe Reservoir in China12
Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling12
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic11
Stochastic investigation of daily air temperature extremes from a global ground station network11
Contamination and health risk assessment of potentially harmful elements associated with roadside dust in Dhanbad India11
Recognizing groundwater DNAPL contaminant source and aquifer parameters using parallel heuristic search strategy based on Bayesian approach11
Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network11
Exploring the efficacy of machine learning models for predicting soil radon exhalation rates11
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey11
Multi-GCM ensemble model for reduction of uncertainty in runoff projections11
A multi-state Markov chain model to assess drought risks in rainfed agriculture: a case study in the Nineveh Plains of Northern Iraq11
Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods11
A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments11
Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China11
Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model11
Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data11
Stream gauge network grouping analysis using community detection11
New insights on the surface hydrological connectivity of water depth thresholds in a flood-pulse-influenced floodplain system (Poyang Lake, China)11
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India10
Exploring the physical interpretation of long-term memory in hydrology10
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica10
Prediction of heat waves using meteorological variables in diverse regions of Iran with advanced machine learning models10
Spatiotemporal variation of drought in Iraq for shared socioeconomic pathways10
Geospatial analysis, source identification, contamination status, ecological and health risk assessment of heavy metals in agricultural soils from Qallin city, Egypt10
Polluted waters of the reclaimed islands of Indian Sundarban promote more greenhouse gas emissions from mangrove ecosystem10
A hybrid Daily PM2.5 concentration prediction model based on secondary decomposition algorithm, mode recombination technique and deep learning10
Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis10
The impact of modelling choices on modelling outcomes: a spatio-temporal study of the association between COVID-19 spread and environmental conditions in Catalonia (Spain)10
Geospatial modelling of floods: a literature review10
Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches10
An iterative updating heuristic search strategy for groundwater contamination source identification based on an ACPSO–ELM surrogate system10
Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning10
Application of information fusion techniques and satellite products in the optimal redesign of rain gauge networks10
Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China10
Spatial variation and influence factor analysis of soil heavy metal As based on geoDetector10
Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates10
Predicting long-term hydrological change caused by climate shifting in the 21st century in the headwater area of the Yellow River Basin10
Evaluating the effect of the uncertainty of CMIP6 models on extreme flows of the Caspian Hyrcanian forest watersheds using the BMA method10
Development of a new hybrid ensemble method for accurate characterization of future drought using multiple global climate models10
The Gauss hypergeometric covariance kernel for modeling second-order stationary random fields in Euclidean spaces: its compact support, properties and spectral representation10
Catchment classification using community structure concept: application to two large regions10
Investigating the effects of climate change on future hydrological drought in mountainous basins using SWAT model based on CMIP5 model10
A stochastic Bayesian bootstrapping model for COVID-19 data9
Influence of AOD remotely sensed products, meteorological parameters, and AOD–PM2.5 models on the PM2.5 estimation9
Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation9
Quantitative soil erosion risk assessment due to rapid urbanization in the Cox’s Bazar district and Rohingya refugee camps in Bangladesh9
LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models9
Adaptive LASSO estimation for functional hidden dynamic geostatistical models9
An optimal integration of multiple machine learning techniques to real-time reservoir inflow forecasting9
Non-carcinogenic health risk assessment and predicting of pollution indexing of groundwater around Osisioma, Nigeria, using artificial neural networks and multi-linear modeling principles9
Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas9
Future land use land cover changes in El-Fayoum governorate: a simulation study using satellite data and CA-Markov model9
Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite9
Bootstrapped ensemble and reliability ensemble averaging approaches for integrated uncertainty analysis of streamflow projections9
Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points9
Multiple scenarios-based on a hybrid economy–environment–ecology model for land-use structural and spatial optimization under uncertainty: a case study in Wuhan, China9
From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations9
A review on the climate-induced depletion of Iran’s aquifers9
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran9
Contamination and risk assessment of heavy metals in coastal sediments from the Mid-Black Sea, Turkey9
Application of the fractional entropy for one-dimensional velocity distribution with dip-phenomenon in open-channel turbulent flows9
Assessment of drought and wet projections in the humid climatic regions for Pakistan9
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm8
Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach8
The application of multi-attribute decision making methods in integrated watershed management8
Speciation characteristics and ecological risk assessment of heavy metals in sediments from Caohai Lake, Guizhou Province8
Extreme sea levels along coastal China: uncertainties and implications8
Influence of the spatial distribution pattern of buildings on the distribution of PM2.5 concentration8
Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China8
Heavy metal contamination of surface water and bed-sediment quality for ecological risk assessment of Gomti River, India8
Flood risk assessment of metro stations based on the SMAA-2-FFS-H method: a case study of the “7$$\cdot$$20” rainstorm in Zhengzhou, China8
Geostatistical based framework for spatial modeling of groundwater level during dry and wet seasons in an arid region: a case study at Hadat Ash-Sham experimental station, Saudi Arabia8
A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment8
Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey8
Contamination, risk assessment and source apportionment of the heavy metals in the soils of apple orchard in Qixia City, Shandong Province, China8
Atmospheric pollutants response to the emission reduction and meteorology during the COVID-19 lockdown in the north of Africa (Morocco)8
The stochastic modified Lundqvist-Korf diffusion process: statistical and computational aspects and application to modeling of the $$\hbox {CO}_2$$ emission in Morocco8
Integrating resilience into an urban flood risk assessment framework: a case study of the Minzhi region, Shenzhen City8
Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region8
Real-time error correction for flood forecasting based on machine learning ensemble method and its uncertainty assessment8
Mixed statistical and data mining analysis of river flow and catchment properties at regional scale8
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models8
Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq8
The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models8
Twenty-two families of multivariate covariance kernels on spheres, with their spectral representations and sufficient validity conditions8
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models8
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding8
Construction of Greenspace Landscape Ecological Network Based on Resistance Analysis of GeoDetector in Jinan8
Feature importance measures to dissect the role of sub-basins in shaping the catchment hydrological response: a proof of concept8
Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran8
Optimal design of air quality monitoring networks: A systematic review8
Water-energy-food nexus: challenges and opportunities8
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties8
Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study8
Estimation of rainfall threshold for flood warning for small urban watersheds based on the 1D–2D drainage model simulation7
Conditional simulation of categorical spatial variables using Gibbs sampling of a truncated multivariate normal distribution subject to linear inequality constraints7
Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique7
Integrated watershed modeling using interval valued fuzzy computations to enhance watershed restoration and protection at field-scale7
Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models7
Flood potential mapping by integrating the bivariate statistics, multi-criteria decision-making, and machine learning techniques7
Source-specific probabilistic health risk assessment of potentially toxic elements in groundwater of a copper mining and smelter area7
Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates7
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases7
Projected wave climate temporal variability due to climate change7
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals7
A model integrating the system dynamic model with the risk based two-stage stochastic robust programming model for agricultural-ecological water resources management7
Partially linear models based on heavy-tailed and asymmetrical distributions7
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