Stochastic Environmental Research and Risk Assessment

(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 2020-02-01 to 2024-02-01.)
A machine learning forecasting model for COVID-19 pandemic in India236
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model217
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction114
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms112
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction84
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process61
An improved long short-term memory network for streamflow forecasting in the upper Yangtze River61
Evaluating severity–area–frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios55
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model54
Meteorological impacts on the incidence of COVID-19 in the U.S.53
Projections of precipitation over China based on CMIP6 models53
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India51
Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA49
COVID-19 and water47
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 s44
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression43
Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China41
Artificial Intelligence models for prediction of the tide level in Venice41
Review of landslide susceptibility assessment based on knowledge mapping40
Development of new machine learning model for streamflow prediction: case studies in Pakistan39
Dissecting innovative trend analysis39
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction38
Stream water quality prediction using boosted regression tree and random forest models38
Exposure and health: A progress update by evaluation and scientometric analysis38
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India36
Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system33
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach32
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran32
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries32
Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan31
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India30
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios29
Suitability of data preprocessing methods for landslide displacement forecasting29
Heavy metals in soil of an urban industrial zone in a metropolis: risk assessment and source apportionment29
Developing hybrid time series and artificial intelligence models for estimating air temperatures28
Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble28
A new principal component analysis by particle swarm optimization with an environmental application for data science28
A new soft computing model for daily streamflow forecasting28
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions27
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China26
A comparison of statistical and machine learning methods for debris flow susceptibility mapping26
Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification26
Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries25
Hybrid deep learning method for a week-ahead evapotranspiration forecasting25
Impact of climate change on crop water and irrigation requirements over eastern Himalayan region24
Assessing the effects of climate change and human activities on runoff variations from a seasonal perspective24
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on sloping channels23
Rainfall forecasting in upper Indus basin using various artificial intelligence techniques23
An errors-in-variables model based on the Birnbaum–Saunders distribution and its diagnostics with an application to earthquake data23
Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir23
Environmental regulations, Chinese-style fiscal decentralization, and carbon emissions: from the perspective of moderating effect22
Trivariate joint probability model of typhoon-induced wind, wave and their time lag based on the numerical simulation of historical typhoons21
Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts21
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model21
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model21
Changes in climatic patterns and tourism and their concomitant effect on drinking water transfers into the region of South Aegean, Greece19
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression19
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment19
Identification of anthropogenic contribution to wetland degradation: Insights from the environmetric techniques19
Data-driven approaches for runoff prediction using distributed data18
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model18
Risk assessment of extreme air pollution based on partial duration series: IDF approach18
Artificial neural network and multi-criteria decision-making models for flood simulation in GIS: Mazandaran Province, Iran18
Influence factor analysis of soil heavy metal Cd based on the GeoDetector18
Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP618
Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping18
Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India18
Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas17
Spatial modeling of susceptibility to subsidence using machine learning techniques17
Storm surge risk assessment method for a coastal county in China: case study of Jinshan District, Shanghai17
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach17
A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states17
Prediction of heat waves over Pakistan using support vector machine algorithm in the context of climate change16
Modelling and attributing evapotranspiration changes on China’s Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality16
Peaks-over-threshold model in flood frequency analysis: a scoping review16
Multiple-point geostatistical simulation based on conditional conduction probability16
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information16
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, China16
A GIS-based comparative study of hybrid fuzzy-gene expression programming and hybrid fuzzy-artificial neural network for land subsidence susceptibility modeling16
Multiple-point statistics using multi-resolution images16
Application of deep learning to large scale riverine flow velocity estimation16
The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities16
Algal community and pollution indicators for the assessment of water quality of Ismailia canal, Egypt16
Concentration, distribution and probabilistic health risk assessment of exposure to fluoride in drinking water of Hormozgan province, Iran16
Predictive modeling of forest fire using geospatial tools and strategic allocation of resources: eForestFire16
Effect of spatially variable saturated hydraulic conductivity with non-stationary characteristics on the stability of reservoir landslides15
Projected changes in thermal bioclimatic indicators over the Middle East and North Africa under Paris climate agreement15
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries15
A hundred years of Caposele spring discharge measurements: trends and statistics for understanding water resource availability under climate change15
Artificial intelligence application in drought assessment, monitoring and forecasting: a review15
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic15
Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model15
A clustering-based approach for prioritizing health, safety and environment risks integrating fuzzy C-means and hybrid decision-making methods15
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India15
Error covariance tuning in variational data assimilation: application to an operating hydrological model14
Probabilistic multi-objective optimization for landslide reinforcement with stabilizing piles in Zigui Basin of Three Gorges Reservoir region, China14
Western North Pacific tropical cyclone track forecasts by a machine learning model14
A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area14
Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models14
Probable streamflow changes and its associated risk to the water resources of Abuan watershed, Philippines caused by climate change and land use changes14
Source apportionment and associated potential ecological risk assessment of heavy metals in coastal marine sediments samples in Ondo, Southwest, Nigeria14
Models for the difference of continuous covariance functions14
Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake14
Parametrisation of change-permitting extreme value models and its impact on the description of change14
Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity14
Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills14
Comparison of mapping approaches for estimating extreme precipitation of any return period at ungauged locations13
Enhanced potential ecological risk induced by a large scale water diversion project13
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India13
Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin13
Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India13
Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model13
An assessment of snow-glacier melt runoff under climate change scenarios in the Himalayan basin13
Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method13
Decoding trend of Indian summer monsoon rainfall using multimethod approach13
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis13
A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)12
A quantitative analysis of research trends in flood hazard assessment12
Application of complex networks for monthly rainfall dynamics over central Vietnam12
Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review12
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models12
A proposal of a balanced scorecard to the water, energy and food nexus approach: Brazilian food policies in the context of sustainable development goals12
Study of temporal streamflow dynamics with complex networks: network construction and clustering12
Quantifying increased fire risk in California in response to different levels of warming and drying12
New design of water-energy-food-environment nexus for sustainable agricultural management12
A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach12
Vine copula and cloud model-based programming approach for agricultural water allocation under uncertainty12
The Bayesian Susceptible-Exposed-Infected-Recovered model for the outbreak of COVID-19 on the Diamond Princess Cruise Ship12
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain12
Prediction of $$\hbox {PM}_{2.5}$$ concentration based on weighted bagging and image contrast-sensitive features12
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate11
L-moments for automatic threshold selection in extreme value analysis11
Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL)11
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region11
A revised range of variability approach considering the morphological alteration of hydrological indicators11
Developing reservoir evaporation predictive model for successful dam management11
Multi-model streamflow prediction using conditional bias-penalized multiple linear regression11
Modelling background seismicity components identified by nearest neighbour and stochastic declustering approaches: the case of Northeastern Italy11
Relevance of spatio-temporal rainfall variability regarding groundwater management challenges under global change: case study in Doñana (SW Spain)11
Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR11
A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments11
Use of fractal models to define the scaling behavior of the aquifers’ parameters at the mesoscale11
From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations11
Impact of climate change on stormwater drainage in urban areas11
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak11
The effect of ambient fine particulate matter (PM2.5) on respiratory diseases in China: a systematic review and meta-analysis11
A hierarchical cosimulation algorithm integrated with an acceptance–rejection method for the geostatistical modeling of variables with inequality constraints11
Investigating the spatio-temporal variations of the impact of urbanization on haze pollution using multiple indicators10
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction10
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential10
Spatio-temporal analysis of fire occurrence in Australia10
Constructed wetland management in urban catchments for mitigating floods10
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany10
Using data-driven algorithms for semi-automated geomorphological mapping10
Development of a quantitative risk assessment method for a biomass gasification unit by combining DEMATEL-ISM and CM-TOPSIS10
Stream gauge network grouping analysis using community detection10
On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks10
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India10
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach10
Investigating variation characteristics and driving forces of lake water level complexity in a complex river–lake system10
A stochastic epidemic model coupled with seasonal air pollution: analysis and data fitting10
Power-law behaviors of the duration size of unhealthy air pollution events10
Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies10
Deep learning-based assessment of flood severity using social media streams10
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji10
Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China10
Research on stage-divided water level prediction technology of rivers-connected lake based on machine learning: a case study of Hongze Lake, China10
A framework for projecting future streamflow of the Yalong River basin to climate change10
Contamination and health risk assessment of potentially harmful elements associated with roadside dust in Dhanbad India10
A multi-state Markov chain model to assess drought risks in rainfed agriculture: a case study in the Nineveh Plains of Northern Iraq10
Improved space–time sea surface salinity mapping in Western Pacific ocean using contingogram modeling10
Application of information fusion techniques and satellite products in the optimal redesign of rain gauge networks9
Stochastic sediment transport: anomalous diffusions and random movement9
A hybrid Daily PM2.5 concentration prediction model based on secondary decomposition algorithm, mode recombination technique and deep learning9
Stochastic investigation of daily air temperature extremes from a global ground station network9
Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates9
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost9
Estimation of short-lived climate forced sulfur dioxide in Tehran, Iran, using machine learning analysis9
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data9
Projections on climate internal variability and climatological mean at fine scales over South Korea9
Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation9
New insights on the surface hydrological connectivity of water depth thresholds in a flood-pulse-influenced floodplain system (Poyang Lake, China)9
On the use of adaptive spatial weight matrices from disease mapping multivariate analyses9
A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site9
Improving geostatistical predictions of two environmental variables using Bayesian maximum entropy in the Sungun mining site9
Influence of AOD remotely sensed products, meteorological parameters, and AOD–PM2.5 models on the PM2.5 estimation9
Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model9
Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data9
Effects of estimation techniques on generalised extreme value distribution (GEVD) parameters and their spatio-temporal variations9
Heuristic search strategy based on probabilistic and geostatistical simulation approach for simultaneous identification of groundwater contaminant source and simulation model parameters9
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)9
A new framework for rainfall downscaling based on EEMD and an improved fractal interpolation algorithm9
Outflow sediment concentration forecasting by integrating machine learning approaches and time series analysis in reservoir desilting operation8
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study8
Hydroclimatic aggregate drought index (HADI): a new approach for identification and categorization of drought in cold climate regions8
Predicting long-term hydrological change caused by climate shifting in the 21st century in the headwater area of the Yellow River Basin8
Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning8
Polluted waters of the reclaimed islands of Indian Sundarban promote more greenhouse gas emissions from mangrove ecosystem8
Global autocorrelation test based on the Monte Carlo method and impacts of eliminating nonstationary components on the global autocorrelation test8
Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index8
Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network8
Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model8
Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China8
Comparative analysis of two drought indices in the calculation of drought recovery time and implications on drought assessment: East Africa's Lake Victoria Basin8
Multiple scenarios-based on a hybrid economy–environment–ecology model for land-use structural and spatial optimization under uncertainty: a case study in Wuhan, China8
A data assimilation approach for groundwater parameter estimation under Bayesian maximum entropy framework8
Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China8
Exploring the physical interpretation of long-term memory in hydrology8
Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches8
Prediction of heat waves using meteorological variables in diverse regions of Iran with advanced machine learning models8
Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data8
Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points8
Probabilistic long-term reservoir operation employing copulas and implicit stochastic optimization8
Distribution and release mechanism of heavy metals in sediments of Yelang Lake by DGT8
Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements8
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran8
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models7
Deep learning-based uncertainty quantification of groundwater level predictions7
Undersampling in action and at scale: application to the COVID-19 pandemic7
Wildfire susceptibility mapping using two empowered machine learning algorithms7
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey7
Multi-GCM ensemble model for reduction of uncertainty in runoff projections7
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties7
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 Arabia7
Contamination, risk assessment and source apportionment of the heavy metals in the soils of apple orchard in Qixia City, Shandong Province, China7
Enrichment of trace elements by blue carbon habitats in Maoyan Island of Yueqing Bay, China7
Sampling behavioral model parameters for ensemble-based sensitivity analysis using Gaussian process emulation and active subspaces7
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica7
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic7
Projected wave climate temporal variability due to climate change7
A model integrating the system dynamic model with the risk based two-stage stochastic robust programming model for agricultural-ecological water resources management7
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, India7
Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling7
Stochastic assessment of the effect of land-use change on nonpoint source-driven groundwater quality using an efficient scaling approach7
A decision support system for the identification of critical zones in a watershed to implement land management practices7
Contamination source detection in water distribution networks using belief propagation7
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran7
The stochastic modified Lundqvist-Korf diffusion process: statistical and computational aspects and application to modeling of the $$\hbox {CO}_2$$ emission in Morocco7
ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search7
Conditional simulation of categorical spatial variables using Gibbs sampling of a truncated multivariate normal distribution subject to linear inequality constraints7
Using Harris hawk optimization towards support vector regression to ozone prediction7
From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations7
Simultaneous determination and exposure assessment of six common pesticides in greenhouses through modified QuEChERS and gas chromatography–mass spectrometry6
Contamination and risk assessment of heavy metals in coastal sediments from the Mid-Black Sea, Turkey6
Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study6
Data mining technology for the identification and threshold of governing factors of landslide in the Three Gorges Reservoir area6
Application of the fractional entropy for one-dimensional velocity distribution with dip-phenomenon in open-channel turbulent flows6
Transfer entropy coupled directed–weighted complex network analysis of rainfall dynamics6
Geospatial analysis, source identification, contamination status, ecological and health risk assessment of heavy metals in agricultural soils from Qallin city, Egypt6
Partially linear models based on heavy-tailed and asymmetrical distributions6