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 2021-05-01 to 2025-05-01.)
ArticleCitations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution103
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture85
Empirical mode decomposition for improved radar wind estimation during rainy conditions81
A new interpretable prediction framework for step-like landslide displacement75
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases65
Application of uncertain hurricane climate change projections to catastrophe risk models62
Dispersivity variations of solute transport in heterogeneous sediments: numerical and experimental study59
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations53
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate49
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models48
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model46
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction45
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco44
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data43
Quantifying the weekly cycle effect of air pollution in cities of China42
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China40
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios39
Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq38
Master equation model for solute transport in river basins: part I channel fluvial scale37
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran37
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity37
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India37
Modeling memory-enhanced stochastic suspended sediment transport with fractional Brownian motion in time-persistent turbulent flow35
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran35
Investigating seasonal drought severity-area-frequency (SAF) curve over Indian region: incorporating GCM and scenario uncertainties34
Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset33
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain32
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data32
Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners30
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model29
Inferring causal associations in hydrological systems: a comparison of methods29
A new promoted Surface Water Supply Index for multi-faceted drought assessment28
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage27
River discharge prediction using wavelet-based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India27
Predicting saturated hydraulic conductivity from particle size distributions using machine learning27
LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models26
Catchment natural driving factors and prediction of baseflow index for Continental United States based on Random Forest technique26
Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach26
Classification of groundwater source protection areas in heterogeneous aquifers in plain areas based on Monte Carlo method26
Time–frequency characterization of seasonal temperature in India and teleconnection of temperature with atmospheric oscillation indices25
Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite25
A multi-type branching process model for epidemics with application to COVID-1925
A nature-inspired and noise-assisted feature extraction integrating spatiotemporal attention-based sequence2sequence for multivariate wind speed prediction24
Comparison of meteorological, hydrological and agricultural droughts for developing a composite drought index over semi-arid Banas River Basin of India24
A method to characterize climate, Earth or environmental vector random processes23
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas22
Endogeneity and other problems in curvilinear income-waste response function estimations22
An innovative framework for real-time monitoring of pollutant point sources in river networks22
Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery22
Spatiotemporal data science: theoretical advances and applications22
Optimizing groundwater potential assessment: uncertainty reduction through sample balancing and enhanced hybrid modeling21
Characterization, sources and risk assessment of organochlorine pesticides (OCPs), organophosphorus pesticides (OPPs) and polycyclic aromatic hydrocarbons (PAHs) in agricultural soils from Jilin Provi21
Influence of large-scale climate signals on the precipitation variability over Iran21
Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context21
Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh21
Early warning of urban heavy metal pollution based on PMF- MeteoInfo model combined with physicochemical properties of dust21
Evaluating the land-sea coordination in Chinese coastal cities from an integrated and water eco-environmental perspective21
Letter to the editor21
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic20
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes20
Enhanced forest fire susceptibility mapping by integrating feature selection genetic algorithm and bagging-based support vector machine with artificial neural networks20
Evaluation of eco-environmental quality and analysis of driving forces in the yellow river delta based on improved remote sensing ecological indices19
Gradient free stochastic training of ANNs, with local approximation in partitions19
Modeling moisture redistribution of drip irrigation systems by soil and system parameters: regression-based approaches19
Does climate impact vary across time horizons? A time–frequency analysis of climate-crop yields in India19
Identification of anthropogenic contribution to wetland degradation: Insights from the environmetric techniques19
Blind recovery of sources for multivariate space-time random fields19
Multivariate motion patterns and applications to rainfall radar data18
A tutorial on reproducing a predefined autocovariance function through AR models: application to stationary homogeneous isotropic turbulence18
Landslide displacement prediction based on spatio-temporal association rule mining between target case and similar cases18
SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin18
On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain18
Development of adaptive standardized precipitation index and its application in the Tibet Plateau region17
Traffic flows time series in a flood-prone area: modeling and clustering on extreme values with a spatial constraint17
Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea17
Spatio-temporal stochastic differential equations for crime incidence modeling17
Horizontal grid spacing comparison among Random Forest algorithms to nowcast Cloud-to-Ground lightning occurrence17
Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China17
Clustering of temporal profiles in US climate change data using logistic mixture of spatial multivariate linear models17
Locally adaptive change-point detection (LACPD) with applications to environmental changes17
Modeling the contribution of Nitrogen Dioxide, Vertical pressure velocity and PM2.5 to COVID-19 fatalities16
Application of stochastic storm transposition for hydrologic modeling in the mountainous western US16
Contaminant source identification in an aquifer using a Bayesian framework with arbitrary polynomial chaos expansion16
Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data16
Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China16
Stochastic modeling of geological domains using a truncated Gaussian collocated co-simulation approach16
Prioritization of watersheds based on a picture fuzzy analytic hierarchy process and linear assignment model16
A novel semi data dimension reduction type weighting scheme of the multi-model ensemble for accurate assessment of twenty-first century drought16
A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow16
Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms15
Modeling non-stationarity in significant wave height over the Northern Indian Ocean15
How global warming data are modeled via some novel mathematical programming scenarios in distributed lag model?15
Influence of solar activity and large-scale climate phenomena on extreme precipitation events in the Yangtze River Economic Belt15
Enhanced spatial modeling on linear networks using Gaussian Whittle-Matérn fields15
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information15
Application of hybrid conceptual-statistical model to estimate streamflow with consideration of groundwater variation15
Nonhomogeneous poisson process model of summer high temperature extremes over China15
The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models15
Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches14
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction14
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries14
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic14
Modeling and forecasting atmospheric Carbon Dioxide concentrations at Bengaluru city in India14
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries14
Real-time flood forecasting based on a general dynamic neural network framework14
A quantitative analysis of research trends in flood hazard assessment14
Analysing and predicting the fine-scale distribution of traffic particulate matter in urban nonmotorized lanes by using wavelet transform and random forest methods14
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India14
Development of new machine learning model for streamflow prediction: case studies in Pakistan13
Improved metamodels for predicting high-dimensional outputs by accounting for the dependence structure of the latent variables: application to marine flooding13
Estimation of model parameters and simulation of earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency13
Case-based risk analysis model for rainstorm inundation in metro systems based on a bayesian network13
Estimating runoff in ungauged catchments by Nash-GIUH model using image processing and fractal analysis13
Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework13
Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States13
Flood susceptibility prediction using multi criteria decision analysis and bivariate statistical models: a case study of Lower Kosi River Basin, Ganga River Basin, India13
Modified stochastic finite-fault modelling based on the rupture process: a case study of the 2013 Mw 6.7 Lushan earthquake in China13
Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and weather station networks in South 13
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India13
Velocity estimation in compound channels with different bank slopes using Renyi and Tsallis entropy13
Inhomogeneous log-Gaussian Cox processes with piecewise constant covariates: a case study in modeling of COVID-19 transmission risk in East Java13
Probabilistic estimation of minimum night flow in water distribution networks: large-scale application to the city of Patras in western Greece13
Fractional entropy-based models for S-type velocity distributions in turbulent open-channel flows and turbulent Couette flows12
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping12
Bayesian estimation of a dynamic stochastic general equilibrium model with health disaster risk12
A new approach to modeling pre-symptomatic incidence and transmission time of imported COVID-19 cases evolving with SARS-CoV-2 variants12
Assessing climate change threats and urbanization impacts on surface runoff in Gdańsk (Poland): insights from remote sensing, machine learning and hydrological modeling12
Clustering constrained on linear networks12
Enhancing reservoir inflow forecasting precision through Bayesian Neural Network modeling and atmospheric teleconnection pattern analysis12
A machine learning and geostatistical hybrid method to improve spatial prediction accuracy of soil potentially toxic elements12
Risk aversion in the value of information analysis: application to lake management12
Exploring climate extremes in Brazil’s Legal Amazon12
Exposure and health: A progress update by evaluation and scientometric analysis12
Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions12
Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model12
Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China12
Models of bed-load transport across scales: turbulence signature from grain motion to sediment flux12
A review on the climate-induced depletion of Iran’s aquifers12
A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping12
Probabilistic modeling of extreme events involving decaying variables with an application in seismology12
Spatial distribution of flood vulnerability index in Ardabil province, Iran11
Local-scale integrated seismic risk assessment using satellite data and field information in Northern Pakistan11
Correction to: Risk assessment of river water quality using long-memory processes subject to divergence or Wasserstein uncertainty11
Spatiotemporal simulation of land-use/land cover scenarios and impacts on the dynamics of vegetation net primary productivity in the Wuhan metropolitan area, Central China11
The Gauss hypergeometric covariance kernel for modeling second-order stationary random fields in Euclidean spaces: its compact support, properties and spectral representation11
Enhanced flushing in long emergent vegetation with two flow parallel interfaces: simulation and predictive modeling at moderate Reynolds number11
Comparison of ensemble Kalman filter application to a prediction model of soil solute transfer into surface runoff by updating different parameters11
Stochastic risk estimation due to non-stationary hazards using compound-NHPP11
A stochastic approach to the characterization of the seismic sources: a potential method for the assessment of sources of historical and paleo tsunami11
Geoengineering from the standpoint of uncertainty and related risks: science or science fiction?11
Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions10
Comparison of data-driven methods for linking extreme precipitation events to local and large-scale meteorological variables10
Probabilistic seasonal precipitation forecasts using quantiles of ensemble forecasts10
Agricultural drought risk assessment considering risk transmission relationship: a novel fuzzy matrix synthesis with relative connection number10
Study on spatial spillover effect of haze pollution based on a network perspective10
Evaluating the effect of the uncertainty of CMIP6 models on extreme flows of the Caspian Hyrcanian forest watersheds using the BMA method10
A parametric framework for evaluating power outage risk trends under changing climatic conditions10
Statistical Analysis of Spatial Distribution of Ambient Air Pollution in Addis Ababa, Ethiopia10
Evaluating changes in flood frequency due to climate change in the Western Cape, South Africa10
Identifying groundwater contamination sources based on the hybrid grey wolf gradient algorithm and deep belief neural network10
Comparative analysis of joint distribution models for tropical cyclone atmospheric parameters in probabilistic coastal hazard analysis10
Spatiotemporal simulation, early warning, and driving factors of soil heavy metal pollution in a typical industrial city in southeast China10
Exploring streamflow dynamics: trends and abrupt changes in major European rivers10
Risk assessment for extreme air pollution events using vine copula10
A new methodology is outlined and demonstrated on the improvement of uncertainty and sensitivity analysis based on the random sampling method10
An accurate and efficient methodology on wind spectra relative to moving trains: field measurements of wind characteristics in complex terrains10
Adaptive LASSO estimation for functional hidden dynamic geostatistical models10
Estimation of a hybrid slip model and its application to stochastic simulation of the Mw 6.6 earthquake on September 5, 2022, in Luding, China10
Performance-based wind engineering assessment of a telecommunication mast utilizing Bayesian extreme wind velocity model10
Crime risk assessment through Cox and self-exciting spatio-temporal point processes10
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm10
Modeling noisy time-series data of crime with stochastic differential equations10
Comparability of NARX model to SWAT model in simulating future water resources scenarios using CMIP6 climate model outputs over UASB, Ethiopia10
Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling10
Unveiling the interactive effects: seasonal variations and pollution sources shaping the quality of surface water system in Khanh Hoa, Vietnam10
Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach10
Using Harris hawk optimization towards support vector regression to ozone prediction10
Spatiotemporal evolution in water use structures of large-sized irrigation district, China9
LWDF: A lightweight diffusion model for sea surface temperature prediction9
New design of water-energy-food-environment nexus for sustainable agricultural management9
Revised and wider classes of isotropic space-time covariance functions9
Quantifying multivariate spatio-temporal dynamics of malaria risk by multiple Plasmodium species using graph-based optimization in Southern Ethiopia9
On a new extreme value distribution: characterization, parametric quantile regression, and application to extreme air pollution events9
On the evolution of turbulent characteristics of an eroding cohesive riverbank9
Spatial extreme model for rainfall depth: application to the estimation of IDF curves in the Basque country9
A copula-based multisite rainfall frequency analysis: a case study on the Lanyang watershed in Taiwan9
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
Investigating the changing spatiotemporal urban heat island and its impact on thunderstorm patterns by Hilbert Huang transform9
Assessing the stage-period-discharge framework for modeling highly unstable rating curves: a case study at the UHE Peti Carrapato streamflow Gauging Station, Brazil9
Research on urban water security based on water poverty theory: a case study of lower yellow river cities9
Short-term forecast improvement of maximum temperature by state-space model approach: the study case of the TO CHAIR project9
A self-organizing map-based approach for groundwater model parameter identification9
Precipitation variability at sub-seasonal scale under the ENSO influence in southeastern South America9
MVIE-LSTM: a deep learning-based method for water quality assessment using monthly river data9
A method for predicting water quality of river basin based on OVMD-GAT-GRU9
Uncertainty analysis of simplified 1D and 2D shallow water equations via the Karhunen–Loéve expansion and Monte Carlo simulations9
Drought has varying impacts on the national economy9
A comparison of numerical approaches for statistical inference with stochastic models9
Diverging monthly rainfall trends in south peninsular India and their association with global climate indices9
Risk assessment model for dust explosion in dust removal pipelines using an attention mechanism-based convolutional neural network9
Correction to: Examining the stage-IV radar-rainfall product for Probabilistic rainfall estimation: case study over Iowa8
Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations8
Occupational health, safety and environmental risk assessment in textile production industry through a Bayesian BWM-VIKOR approach8
Assessing local and spatial uncertainty with nonparametric geostatistics8
An analysis framework for stationary and nonstationary sediment load frequency in a changing climate8
Reliability analysis of three-dimensional reinforced slope considering the spatial variability in soil parameters8
Wind speed forecasting using univariate and multivariate time series models8
Straight road noise mapping prediction using probabilistic approach8
Optimizing identification of mine water inrush source with manifold reduction and semi-supervised learning using improved autoencoder8
Evaluating the downscaling uncertainty of hydrometeorological data in snowmelt runoff simulation8
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey8
Integration of machine learning and particle filter approaches for forecasting soil moisture8
Spatio-temporal analysis of heating and cooling degree-days over Iran8
Stationary and non-stationary temperature-duration-frequency curves for Australia8
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction8
Source-specific probabilistic health risk assessment of potentially toxic elements in groundwater of a copper mining and smelter area8
Improving the normalization procedure of the simplified standardized precipitation index (SSPI) using Box–Cox transformation8
Identifying regional hotspots of heatwaves, droughts, floods, and their co-occurrences8
Prediction of agricultural nonpoint source pollution in highly urbanised areas based on shared socioeconomic pathways: a case study of Taihu Lake Basin8
Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria8
Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece8
Heavy metal contamination of surface water and bed-sediment quality for ecological risk assessment of Gomti River, India8
Mixed statistical and data mining analysis of river flow and catchment properties at regional scale8
Climate change analysis from LRD manifold functional regression8
Non-stationary modelling framework for regionalization of extreme precipitation using non-uniform lagged teleconnections over monsoon Asia8
Evaluation and selection of a rational test method for heavy metal leaching in terms of environmental and economic factors8
Urban flooding risk assessment based on the impact of land cover spatiotemporal characteristics with hydrodynamic simulation8
Land subsidence prediction using recurrent neural networks8
Trend analysis of greening and browning in Hyrcanian forests and their responses to climate change8
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion8
Evaluation of additional physiographical variables characterising drainage network systems in regional frequency analysis, a Quebec watersheds case-study7
Statistic evaluation of low-frequency acoustic wave impact on rainfall stimulation7
Estimation of rainfall threshold for flood warning for small urban watersheds based on the 1D–2D drainage model simulation7
Evaluating Spatial downscaling surrogate models for landscape evolution simulations in the Tarim river basin, China7
Adaptive graph neural network based South China Sea seawater temperature prediction and multivariate uncertainty correlation analysis7
A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran7
Inflow forecasting using regularized extreme learning machine: Haditha reservoir chosen as case study7
Integrated analysis of distribution characteristics, controlling factors, source apportionment, and potential remediation requirements of Pb in a typical karst region7
Agricultural water cuts will intensify the temperature extremes of 30 provinces in China7
Multivariate Kalman filtering for spatio-temporal processes7
Construction of Greenspace Landscape Ecological Network Based on Resistance Analysis of GeoDetector in Jinan7
Forecasting and validating pre-monsoon thunderstorms using categorical prediction in the data-scarce region of sub-Himalayan West Bengal, India7
Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and τ-Kendall pre-processing techniques7
Carbon emissions and drivers across five urban agglomerations of China: Comparison between the 12th and 13th Five-Year Plan periods7
Remote sensing-based drought severity modeling and mapping using multiscale intelligence methods7
Spatiotemporal analysis of weather-related fire danger associated with climate change in the Zagros Mountains, Iran7
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India7
Rockburst risk assessment model based on improved catastrophe progression method and its application7
Extreme wind speed prediction in mountainous area with mixed wind climates7
Revealing the economic consequences of tornadoes using a two-stage SVM-based predictive approach7
0.13452982902527