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 2020-07-01 to 2024-07-01.)
ArticleCitations
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms126
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction125
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction95
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process73
Projections of precipitation over China based on CMIP6 models72
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model66
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India63
Review of landslide susceptibility assessment based on knowledge mapping57
Meteorological impacts on the incidence of COVID-19 in the U.S.54
Stream water quality prediction using boosted regression tree and random forest models53
Exposure and health: A progress update by evaluation and scientometric analysis50
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression49
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 s48
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries47
COVID-19 and water47
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India46
Artificial Intelligence models for prediction of the tide level in Venice46
Development of new machine learning model for streamflow prediction: case studies in Pakistan44
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction43
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India39
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios38
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions38
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach37
A new soft computing model for daily streamflow forecasting35
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran35
Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis35
Developing hybrid time series and artificial intelligence models for estimating air temperatures34
A comparison of statistical and machine learning methods for debris flow susceptibility mapping34
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model33
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China33
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment32
Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification31
Hybrid deep learning method for a week-ahead evapotranspiration forecasting31
A new principal component analysis by particle swarm optimization with an environmental application for data science30
Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble28
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model28
Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir27
Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries27
Identification of anthropogenic contribution to wetland degradation: Insights from the environmetric techniques26
Land subsidence prediction using recurrent neural networks26
Environmental regulations, Chinese-style fiscal decentralization, and carbon emissions: from the perspective of moderating effect26
Data-driven approaches for runoff prediction using distributed data26
Impact of climate change on crop water and irrigation requirements over eastern Himalayan region26
Trivariate joint probability model of typhoon-induced wind, wave and their time lag based on the numerical simulation of historical typhoons26
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model26
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries25
Artificial intelligence application in drought assessment, monitoring and forecasting: a review24
Rainfall forecasting in upper Indus basin using various artificial intelligence techniques24
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach24
A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states24
Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP623
Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping23
Peaks-over-threshold model in flood frequency analysis: a scoping review23
Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts23
Changes in climatic patterns and tourism and their concomitant effect on drinking water transfers into the region of South Aegean, Greece23
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information22
Prediction of heat waves over Pakistan using support vector machine algorithm in the context of climate change22
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 India20
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models19
A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area19
Decoding trend of Indian summer monsoon rainfall using multimethod approach19
A clustering-based approach for prioritizing health, safety and environment risks integrating fuzzy C-means and hybrid decision-making methods19
Predictive modeling of forest fire using geospatial tools and strategic allocation of resources: eForestFire19
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression19
Concentration, distribution and probabilistic health risk assessment of exposure to fluoride in drinking water of Hormozgan province, Iran19
Western North Pacific tropical cyclone track forecasts by a machine learning model18
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis18
Impact of climate change on stormwater drainage in urban areas18
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain18
Spatial modeling of susceptibility to subsidence using machine learning techniques18
The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities18
Multiple-point geostatistical simulation based on conditional conduction probability18
Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India17
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India17
Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity17
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region17
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, China17
Quantifying increased fire risk in California in response to different levels of warming and drying17
Error covariance tuning in variational data assimilation: application to an operating hydrological model17
Probable streamflow changes and its associated risk to the water resources of Abuan watershed, Philippines caused by climate change and land use changes17
Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model17
Parametrisation of change-permitting extreme value models and its impact on the description of change16
Application of deep learning to large scale riverine flow velocity estimation16
Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models16
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic16
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India16
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach16
Source apportionment and associated potential ecological risk assessment of heavy metals in coastal marine sediments samples in Ondo, Southwest, Nigeria16
Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin16
A quantitative analysis of research trends in flood hazard assessment16
Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL)15
A revised range of variability approach considering the morphological alteration of hydrological indicators15
Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake15
From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations15
Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills15
Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR15
Developing reservoir evaporation predictive model for successful dam management15
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost15
A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach15
On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks15
A hundred years of Caposele spring discharge measurements: trends and statistics for understanding water resource availability under climate change15
Enhanced potential ecological risk induced by a large scale water diversion project14
New design of water-energy-food-environment nexus for sustainable agricultural management14
A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)14
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction14
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany14
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India14
Vine copula and cloud model-based programming approach for agricultural water allocation under uncertainty14
Spatio-temporal analysis of fire occurrence in Australia14
Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review14
An assessment of snow-glacier melt runoff under climate change scenarios in the Himalayan basin14
Models for the difference of continuous covariance functions14
Deep learning-based assessment of flood severity using social media streams13
Spatio-temporal analysis of heating and cooling degree-days over Iran13
Multi-model streamflow prediction using conditional bias-penalized multiple linear regression13
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
Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model13
Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan13
Deep learning-based uncertainty quantification of groundwater level predictions13
Constructed wetland management in urban catchments for mitigating floods13
Power-law behaviors of the duration size of unhealthy air pollution events13
Using data-driven algorithms for semi-automated geomorphological mapping13
Development of a quantitative risk assessment method for a biomass gasification unit by combining DEMATEL-ISM and CM-TOPSIS12
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential12
Application of complex networks for monthly rainfall dynamics over central Vietnam12
The Bayesian Susceptible-Exposed-Infected-Recovered model for the outbreak of COVID-19 on the Diamond Princess Cruise Ship12
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate12
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji12
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study12
Use of fractal models to define the scaling behavior of the aquifers’ parameters at the mesoscale12
Comparative analysis of two drought indices in the calculation of drought recovery time and implications on drought assessment: East Africa's Lake Victoria Basin12
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak12
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran12
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
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data12
Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data11
Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies11
Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements11
A hierarchical cosimulation algorithm integrated with an acceptance–rejection method for the geostatistical modeling of variables with inequality constraints11
Predicting long-term hydrological change caused by climate shifting in the 21st century in the headwater area of the Yellow River Basin11
A multi-state Markov chain model to assess drought risks in rainfed agriculture: a case study in the Nineveh Plains of Northern Iraq11
Investigating the spatio-temporal variations of the impact of urbanization on haze pollution using multiple indicators11
Effects of estimation techniques on generalised extreme value distribution (GEVD) parameters and their spatio-temporal variations11
Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China11
Investigating variation characteristics and driving forces of lake water level complexity in a complex river–lake system11
Stream gauge network grouping analysis using community detection11
A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments11
Improving geostatistical predictions of two environmental variables using Bayesian maximum entropy in the Sungun mining site11
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India10
Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates10
Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index10
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica10
Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches10
Contamination and health risk assessment of potentially harmful elements associated with roadside dust in Dhanbad India10
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, India10
Application of information fusion techniques and satellite products in the optimal redesign of rain gauge networks10
A hybrid Daily PM2.5 concentration prediction model based on secondary decomposition algorithm, mode recombination technique and deep learning10
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic10
Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network10
Research on stage-divided water level prediction technology of rivers-connected lake based on machine learning: a case study of Hongze Lake, China10
Prediction of heat waves using meteorological variables in diverse regions of Iran with advanced machine learning models10
Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling10
A stochastic epidemic model coupled with seasonal air pollution: analysis and data fitting10
Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model10
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms10
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
Wildfire susceptibility mapping using two empowered machine learning algorithms10
Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model10
Stochastic investigation of daily air temperature extremes from a global ground station network10
Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning10
Multiple scenarios-based on a hybrid economy–environment–ecology model for land-use structural and spatial optimization under uncertainty: a case study in Wuhan, China10
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
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey9
Environmental, ecological and health risks of boron in agricultural soils of Amik Plain under Mediterranean conditions9
Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points9
Polluted waters of the reclaimed islands of Indian Sundarban promote more greenhouse gas emissions from mangrove ecosystem9
From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations9
Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations9
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran9
Hydroclimatic aggregate drought index (HADI): a new approach for identification and categorization of drought in cold climate regions9
Application of the fractional entropy for one-dimensional velocity distribution with dip-phenomenon in open-channel turbulent flows9
Using Harris hawk optimization towards support vector regression to ozone prediction9
Influence of AOD remotely sensed products, meteorological parameters, and AOD–PM2.5 models on the PM2.5 estimation9
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 analysis9
Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China9
Exploring the physical interpretation of long-term memory in hydrology9
Bootstrapped ensemble and reliability ensemble averaging approaches for integrated uncertainty analysis of streamflow projections9
Multi-GCM ensemble model for reduction of uncertainty in runoff projections9
An optimal integration of multiple machine learning techniques to real-time reservoir inflow forecasting9
Catchment classification using community structure concept: application to two large regions9
The Gauss hypergeometric covariance kernel for modeling second-order stationary random fields in Euclidean spaces: its compact support, properties and spectral representation9
Non-carcinogenic health risk assessment and predicting of pollution indexing of groundwater around Osisioma, Nigeria, using artificial neural networks and multi-linear modeling principles8
Contamination, risk assessment and source apportionment of the heavy metals in the soils of apple orchard in Qixia City, Shandong Province, China8
A review on the climate-induced depletion of Iran’s aquifers8
The stochastic modified Lundqvist-Korf diffusion process: statistical and computational aspects and application to modeling of the $$\hbox {CO}_2$$ emission in Morocco8
Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region8
Prediction of flood routing results in the Central Anatolian region of Türkiye with various machine learning models8
Predict water quality using an improved deep learning method based on spatiotemporal feature correlated: a case study of the Tanghe Reservoir in China8
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties8
An iterative updating heuristic search strategy for groundwater contamination source identification based on an ACPSO–ELM surrogate system8
Twenty-two families of multivariate covariance kernels on spheres, with their spectral representations and sufficient validity conditions8
Global autocorrelation test based on the Monte Carlo method and impacts of eliminating nonstationary components on the global autocorrelation test8
Spatial variation and influence factor analysis of soil heavy metal As based on geoDetector8
Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China8
LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models8
Geospatial analysis, source identification, contamination status, ecological and health risk assessment of heavy metals in agricultural soils from Qallin city, Egypt8
Development of a new hybrid ensemble method for accurate characterization of future drought using multiple global climate models8
A stochastic Bayesian bootstrapping model for COVID-19 data8
Investigating the effects of climate change on future hydrological drought in mountainous basins using SWAT model based on CMIP5 model8
How does land use configuration influence on sediment heavy metal pollution? Comparison between riparian zone and sub-watersheds8
Risk analysis of reservoir floodwater utilization coupling meteorological and hydrological uncertainties8
Quantitative soil erosion risk assessment due to rapid urbanization in the Cox’s Bazar district and Rohingya refugee camps in Bangladesh8
Contamination and risk assessment of heavy metals in coastal sediments from the Mid-Black Sea, Turkey8
Mixed statistical and data mining analysis of river flow and catchment properties at regional scale8
Adaptive LASSO estimation for functional hidden dynamic geostatistical models8
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
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding7
Construction of Greenspace Landscape Ecological Network Based on Resistance Analysis of GeoDetector in Jinan7
Spatio-temporal precipitation changes and their localized predictors in the Taihang Mountain region, North China7
Feature importance measures to dissect the role of sub-basins in shaping the catchment hydrological response: a proof of concept7
Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950–20157
ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search7
Real-time error correction for flood forecasting based on machine learning ensemble method and its uncertainty assessment7
Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique7
The increasing risk of future simultaneous droughts over the Yangtze River basin based on CMIP6 models7
Partially linear models based on heavy-tailed and asymmetrical distributions7
A decision support system for the identification of critical zones in a watershed to implement land management practices7
Extreme sea levels along coastal China: uncertainties and implications7
Geospatial modelling of floods: a literature review7
Simultaneous determination and exposure assessment of six common pesticides in greenhouses through modified QuEChERS and gas chromatography–mass spectrometry7
Stochastic modeling of solar irradiance during hurricanes7
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
Water-energy-food nexus: challenges and opportunities7
Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study7
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases7
Sampling behavioral model parameters for ensemble-based sensitivity analysis using Gaussian process emulation and active subspaces7
Planning for climate change: evaluating the changing patterns of flood vulnerability in a case study in New Taipei City, Taiwan7
Learning from panel data of dengue incidence and meteorological factors in Jakarta, Indonesia7
Impact of geostatistical reconstruction approaches on model calibration for flow in highly heterogeneous aquifers7
Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran7
Dynamic hazard assessment of debris flow based on TRIGRS and flow-R coupled models7
Influence of the spatial distribution pattern of buildings on the distribution of PM2.5 concentration7
Conditional simulation of categorical spatial variables using Gibbs sampling of a truncated multivariate normal distribution subject to linear inequality constraints7
Do geopolitical risk and economic policy uncertainty cause CO2 emissions in BRICS? The role of institutional quality and energy productivity7
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