Stochastic Environmental Research and Risk Assessment

Papers
(The TQCC of Stochastic Environmental Research and Risk Assessment is 7. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A machine learning forecasting model for COVID-19 pandemic in India243
Application of an enhanced BP neural network model with water cycle algorithm on landslide prediction117
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms115
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction87
Projections of precipitation over China based on CMIP6 models63
District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process62
Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model59
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India57
Meteorological impacts on the incidence of COVID-19 in the U.S.53
Assessment of occupational risks from human health and environmental perspectives: a new integrated approach and its application using fuzzy BWM and fuzzy MAIRCA52
Review of landslide susceptibility assessment based on knowledge mapping47
COVID-19 and water47
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized support vector regression46
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 s46
Stream water quality prediction using boosted regression tree and random forest models45
Effects of land use cover change on carbon emissions and ecosystem services in Chengyu urban agglomeration, China44
Artificial Intelligence models for prediction of the tide level in Venice43
Dissecting innovative trend analysis42
Development of new machine learning model for streamflow prediction: case studies in Pakistan41
Exposure and health: A progress update by evaluation and scientometric analysis40
A novel hybrid dragonfly optimization algorithm for agricultural drought prediction40
Sensitivity of normalized difference vegetation index (NDVI) to land surface temperature, soil moisture and precipitation over district Gautam Buddh Nagar, UP, India39
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries36
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach35
Forest landscape visual quality evaluation using artificial intelligence techniques as a decision support system33
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios33
Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran33
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India33
Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions32
Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan32
A new soft computing model for daily streamflow forecasting32
Changes in monthly streamflow in the Hindukush–Karakoram–Himalaya Region of Pakistan using innovative polygon trend analysis30
Developing hybrid time series and artificial intelligence models for estimating air temperatures30
Suitability of data preprocessing methods for landslide displacement forecasting30
A new principal component analysis by particle swarm optimization with an environmental application for data science30
Hybrid deep learning method for a week-ahead evapotranspiration forecasting29
A comparison of statistical and machine learning methods for debris flow susceptibility mapping29
Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification28
Uncertainty quantification for hydrological models based on neural networks: the dropout ensemble28
A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment28
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China28
Landslide susceptibility mapping in Three Gorges Reservoir area based on GIS and boosting decision tree model27
Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries26
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on sloping channels26
Impact of climate change on crop water and irrigation requirements over eastern Himalayan region26
Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir25
Land subsidence prediction using recurrent neural networks24
Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model24
Rainfall forecasting in upper Indus basin using various artificial intelligence techniques23
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model23
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 typhoons22
Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts22
Projection of Hot and Cold Extremes in the Amu River Basin of Central Asia using GCMs CMIP621
Identification of anthropogenic contribution to wetland degradation: Insights from the environmetric techniques21
A hybrid interval displacement forecasting model for reservoir colluvial landslides with step-like deformation characteristics considering dynamic switching of deformation states21
Projected changes in thermal bioclimatic indicators over the Middle East and North Africa under Paris climate agreement20
Data-driven approaches for runoff prediction using distributed data20
Changes in climatic patterns and tourism and their concomitant effect on drinking water transfers into the region of South Aegean, Greece20
Prediction of heat waves over Pakistan using support vector machine algorithm in the context of climate change19
Artificial neural network and multi-criteria decision-making models for flood simulation in GIS: Mazandaran Province, Iran19
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression19
Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping19
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach19
Peaks-over-threshold model in flood frequency analysis: a scoping review19
Influence factor analysis of soil heavy metal Cd based on the GeoDetector19
A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information18
Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India18
Artificial intelligence application in drought assessment, monitoring and forecasting: a review18
Spatial modeling of susceptibility to subsidence using machine learning techniques18
Concentration, distribution and probabilistic health risk assessment of exposure to fluoride in drinking water of Hormozgan province, Iran18
Algal community and pollution indicators for the assessment of water quality of Ismailia canal, Egypt17
A clustering-based approach for prioritizing health, safety and environment risks integrating fuzzy C-means and hybrid decision-making methods17
A novel model for regional susceptibility mapping of rainfall-reservoir induced landslides in Jurassic slide-prone strata of western Hubei Province, Three Gorges Reservoir area17
A GIS-based comparative study of hybrid fuzzy-gene expression programming and hybrid fuzzy-artificial neural network for land subsidence susceptibility modeling17
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries17
The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities17
Modelling and attributing evapotranspiration changes on China’s Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality17
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
Western North Pacific tropical cyclone track forecasts by a machine learning model17
Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas17
Predictive modeling of forest fire using geospatial tools and strategic allocation of resources: eForestFire16
Application of deep learning to large scale riverine flow velocity estimation16
Multiple-point geostatistical simulation based on conditional conduction probability16
Probable streamflow changes and its associated risk to the water resources of Abuan watershed, Philippines caused by climate change and land use changes16
Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis16
Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models15
A hundred years of Caposele spring discharge measurements: trends and statistics for understanding water resource availability under climate change15
Quantifying increased fire risk in California in response to different levels of warming and drying15
Parametrisation of change-permitting extreme value models and its impact on the description of change15
Error covariance tuning in variational data assimilation: application to an operating hydrological model15
Ambient PM2.5 and O3 pollution and health impacts in Iranian megacity15
Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India15
Decoding trend of Indian summer monsoon rainfall using multimethod approach15
Probabilistic multi-objective optimization for landslide reinforcement with stabilizing piles in Zigui Basin of Three Gorges Reservoir region, China15
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
Vine copula and cloud model-based programming approach for agricultural water allocation under uncertainty14
Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake14
Source apportionment and associated potential ecological risk assessment of heavy metals in coastal marine sediments samples in Ondo, Southwest, Nigeria14
Spatial modeling of river bank shifting and associated LULC changes of the Kaljani River in Himalayan foothills14
On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks14
Enhanced potential ecological risk induced by a large scale water diversion project14
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models14
Models for the difference of continuous covariance functions14
Spatial distribution, pollution levels, and risk assessment of potentially toxic metals in road dust from major tourist city, Dehradun, Uttarakhand India14
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain14
An assessment of snow-glacier melt runoff under climate change scenarios in the Himalayan basin14
A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)13
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany13
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India13
Assessing erosion prone areas in a watershed using interval rough-analytical hierarchy process (IR-AHP) and fuzzy logic (FL)13
Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region13
Spatio temporal hydrological extreme forecasting framework using LSTM deep learning model13
A critical analysis of the shortcomings in spatial frequency analysis of rainfall extremes based on homogeneous regions and a comparison with a hierarchical boundaryless approach13
Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin13
Comparison of mapping approaches for estimating extreme precipitation of any return period at ungauged locations13
From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations13
Risk assessment of hot and humid environments through an integrated fuzzy AHP-VIKOR method13
Exploring spatial distributions of increments in soil heavy metals and their relationships with environmental factors using GWR12
A quantitative analysis of research trends in flood hazard assessment12
Application of complex networks for monthly rainfall dynamics over central Vietnam12
Power-law behaviors of the duration size of unhealthy air pollution events12
Impact of climate change on stormwater drainage in urban areas12
A revised range of variability approach considering the morphological alteration of hydrological indicators12
Use of fractal models to define the scaling behavior of the aquifers’ parameters at the mesoscale12
Mechanistic models supporting uncertainty quantification of water quality predictions in heterogeneous mining waste rocks: a review12
Deep learning-based assessment of flood severity using social media streams12
Study of temporal streamflow dynamics with complex networks: network construction and clustering12
The Bayesian Susceptible-Exposed-Infected-Recovered model for the outbreak of COVID-19 on the Diamond Princess Cruise Ship12
New design of water-energy-food-environment nexus for sustainable agricultural management12
Development of a quantitative risk assessment method for a biomass gasification unit by combining DEMATEL-ISM and CM-TOPSIS11
A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments11
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study11
Developing reservoir evaporation predictive model for successful dam management11
Modelling background seismicity components identified by nearest neighbour and stochastic declustering approaches: the case of Northeastern Italy11
Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost11
Stream gauge network grouping analysis using community detection11
A hierarchical cosimulation algorithm integrated with an acceptance–rejection method for the geostatistical modeling of variables with inequality constraints11
A framework for projecting future streamflow of the Yalong River basin to climate change11
Using data-driven algorithms for semi-automated geomorphological mapping11
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate11
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak11
Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential11
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India11
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach11
Multi-model streamflow prediction using conditional bias-penalized multiple linear regression11
Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan11
Application of information fusion techniques and satellite products in the optimal redesign of rain gauge networks10
Deep learning-based uncertainty quantification of groundwater level predictions10
Investigating the spatio-temporal variations of the impact of urbanization on haze pollution using multiple indicators10
Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index10
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction10
Spatio-temporal analysis of fire occurrence in Australia10
Challenging problems of quality assurance and quality control (QA/QC) of meteorological time series data10
Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling10
Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning10
Projections on climate internal variability and climatological mean at fine scales over South Korea10
A hybrid Daily PM2.5 concentration prediction model based on secondary decomposition algorithm, mode recombination technique and deep learning10
Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network10
Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China10
Predicting long-term hydrological change caused by climate shifting in the 21st century in the headwater area of the Yellow River Basin10
Investigating variation characteristics and driving forces of lake water level complexity in a complex river–lake system10
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data10
A multi-state Markov chain model to assess drought risks in rainfed agriculture: a case study in the Nineveh Plains of Northern Iraq10
Multiscale investigation of precipitation extremes over Ethiopia and teleconnections to large-scale climate anomalies10
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji10
Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica10
Research on stage-divided water level prediction technology of rivers-connected lake based on machine learning: a case study of Hongze Lake, China10
Constructed wetland management in urban catchments for mitigating floods10
Comparative analysis of two drought indices in the calculation of drought recovery time and implications on drought assessment: East Africa's Lake Victoria Basin10
Contamination and health risk assessment of potentially harmful elements associated with roadside dust in Dhanbad India10
A stochastic epidemic model coupled with seasonal air pollution: analysis and data fitting10
Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China9
Effects of estimation techniques on generalised extreme value distribution (GEVD) parameters and their spatio-temporal variations9
Stochastic investigation of daily air temperature extremes from a global ground station network9
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
Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data9
Hydroclimatic aggregate drought index (HADI): a new approach for identification and categorization of drought in cold climate regions9
Hybrids of machine learning techniques and wavelet regression for estimation of daily solar radiation9
Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates9
New insights on the surface hydrological connectivity of water depth thresholds in a flood-pulse-influenced floodplain system (Poyang Lake, China)9
Probabilistic long-term reservoir operation employing copulas and implicit stochastic optimization9
A new framework for rainfall downscaling based on EEMD and an improved fractal interpolation algorithm9
Estimation of short-lived climate forced sulfur dioxide in Tehran, Iran, using machine learning analysis9
Heuristic search strategy based on probabilistic and geostatistical simulation approach for simultaneous identification of groundwater contaminant source and simulation model parameters9
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
Outflow sediment concentration forecasting by integrating machine learning approaches and time series analysis in reservoir desilting operation9
A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site9
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
Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches9
Improving geostatistical predictions of two environmental variables using Bayesian maximum entropy in the Sungun mining site9
Spatio-temporal analysis of heating and cooling degree-days over Iran9
Integrating hybrid runoff generation mechanism into variable infiltration capacity model to facilitate hydrological simulations9
Street dust in the largest urban agglomeration: pollution characteristics, source apportionment and health risk assessment of potentially toxic trace elements8
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India8
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran8
Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China8
Prediction of heat waves using meteorological variables in diverse regions of Iran with advanced machine learning models8
Application of the fractional entropy for one-dimensional velocity distribution with dip-phenomenon in open-channel turbulent flows8
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, India8
Distribution and release mechanism of heavy metals in sediments of Yelang Lake by DGT8
A data assimilation approach for groundwater parameter estimation under Bayesian maximum entropy framework8
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic8
The stochastic modified Lundqvist-Korf diffusion process: statistical and computational aspects and application to modeling of the $$\hbox {CO}_2$$ emission in Morocco8
Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model8
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties8
Catchment classification using community structure concept: application to two large regions8
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
Exploring the physical interpretation of long-term memory in hydrology8
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran8
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey8
Multi-GCM ensemble model for reduction of uncertainty in runoff projections8
Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points8
Contamination and risk assessment of heavy metals in coastal sediments from the Mid-Black Sea, Turkey7
Conditional simulation of categorical spatial variables using Gibbs sampling of a truncated multivariate normal distribution subject to linear inequality constraints7
Contamination, risk assessment and source apportionment of the heavy metals in the soils of apple orchard in Qixia City, Shandong Province, China7
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
Twenty-two families of multivariate covariance kernels on spheres, with their spectral representations and sufficient validity conditions7
Temporal downscaling of precipitation from climate model projections using machine learning7
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models7
Undersampling in action and at scale: application to the COVID-19 pandemic7
Risk analysis of reservoir floodwater utilization coupling meteorological and hydrological uncertainties7
Feature importance measures to dissect the role of sub-basins in shaping the catchment hydrological response: a proof of concept7
Projected wave climate temporal variability due to climate change7
Bootstrapped ensemble and reliability ensemble averaging approaches for integrated uncertainty analysis of streamflow projections7
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases7
An iterative updating heuristic search strategy for groundwater contamination source identification based on an ACPSO–ELM surrogate system7
Stochastic assessment of the effect of land-use change on nonpoint source-driven groundwater quality using an efficient scaling approach7
Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms7
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
Extreme sea levels along coastal China: uncertainties and implications7
Wildfire susceptibility mapping using two empowered machine learning algorithms7
Stochastic modeling of solar irradiance during hurricanes7
ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search7
A model integrating the system dynamic model with the risk based two-stage stochastic robust programming model for agricultural-ecological water resources management7
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
Recognizing groundwater DNAPL contaminant source and aquifer parameters using parallel heuristic search strategy based on Bayesian approach7
Non-carcinogenic health risk assessment and predicting of pollution indexing of groundwater around Osisioma, Nigeria, using artificial neural networks and multi-linear modeling principles7
Investigating the effects of climate change on future hydrological drought in mountainous basins using SWAT model based on CMIP5 model7
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding7
A decision support system for the identification of critical zones in a watershed to implement land management practices7
How does land use configuration influence on sediment heavy metal pollution? Comparison between riparian zone and sub-watersheds7
Simultaneous determination and exposure assessment of six common pesticides in greenhouses through modified QuEChERS and gas chromatography–mass spectrometry7
Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region7
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