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 2021-11-01 to 2025-11-01.)
ArticleCitations
Modelling multidecadal variability in flood frequency using the Two-Component Extreme Value distribution131
Empirical mode decomposition for improved radar wind estimation during rainy conditions106
Application of uncertain hurricane climate change projections to catastrophe risk models97
Multivariate stochastic Vasicek diffusion process: computational estimation and application to the analysis of $$CO_2$$ and $$N_2O$$ concentrations82
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model65
Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity63
Nitrate pollution source apportionment and uncertainty analysis in typical water diversion source area based on nitrogen and oxygen isotopes and the mixsiar modeling61
A conditional machine learning classification approach for spatio-temporal risk assessment of crime data61
A new interpretable prediction framework for step-like landslide displacement60
WaveTransTimesNet: an enhanced deep learning monthly runoff prediction model based on wavelet transform and transformer architecture53
Enhancing bed load prediction accuracy through advanced multi-parameter analysis: a new temperature-sensitive approach validated across 783 river measurements50
Evaluating extreme precipitation in gridded datasets with a novel station database in Morocco50
A review in stability of stochastic prey–predator models47
Assessing machine learning and Physics-Informed models for Multi-Lead time sea surface temperature prediction in the Arabian sea46
Novel MCDA methods for flood hazard mapping: a case study in Hamadan, Iran45
Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India45
Quantifying the weekly cycle effect of air pollution in cities of China44
Determining the percentile threshold of daily extreme precipitation, methods evaluation40
Semi-supervised deep learning based on label propagation algorithm for debris flow susceptibility assessment in few-label scenarios37
Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China36
Modeling and predicting mean indoor radon concentrations in Austria by generalized additive mixed models35
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases34
Master equation model for solute transport in river basins: part I channel fluvial scale31
Spatiotemporal data science: theoretical advances and applications31
An ensemble learning strategy for spatiotemporal drought assessment through the fusion of multi-satellite and atmospheric reanalysis precipitation products31
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction31
Addressing the relevance of COVID–19 pandemic in nature and human socio-economic fate31
A multi-type branching process model for epidemics with application to COVID-1931
A Bayesian spatio-temporal model for cluster detection: identifying HPV suboptimal vaccine coverage31
An innovative framework for real-time monitoring of pollutant point sources in river networks31
Developing an earthquake damaged-based multi-severity casualty method by using Monte Carlo simulation and fuzzy logic; case study: Mosha fault seismic scenario, Tehran, Iran31
Classification of groundwater source protection areas in heterogeneous aquifers in plain areas based on Monte Carlo method29
A method to characterize climate, Earth or environmental vector random processes29
Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach29
Stochastic assessment of groundwater PFAS concentrations in North-Eastern Italy29
Endogeneity and other problems in curvilinear income-waste response function estimations28
A nature-inspired and noise-assisted feature extraction integrating spatiotemporal attention-based sequence2sequence for multivariate wind speed prediction28
Comparison of meteorological, hydrological and agricultural droughts for developing a composite drought index over semi-arid Banas River Basin of India27
River discharge prediction using wavelet-based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India27
Early prediction of forest fire events integrating multi-sensor datasets and machine learning techniques27
Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite27
Predictive modeling of water quality index (WQI) classes in Indian rivers: Insights from the application of multiple Machine Learning (ML) models on a decennial dataset26
Time–frequency characterization of seasonal temperature in India and teleconnection of temperature with atmospheric oscillation indices26
Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners26
Modeling memory-enhanced stochastic suspended sediment transport with fractional Brownian motion in time-persistent turbulent flow26
A new promoted Surface Water Supply Index for multi-faceted drought assessment25
Predicting saturated hydraulic conductivity from particle size distributions using machine learning25
LSTM-CM: a hybrid approach for natural drought prediction based on deep learning and climate models25
Comparative evaluation of performances of algae indices, pixel- and object-based machine learning algorithms in mapping floating algal blooms using Sentinel-2 imagery25
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain25
Inferring causal associations in hydrological systems: a comparison of methods25
Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model24
Evaluating the land-sea coordination in Chinese coastal cities from an integrated and water eco-environmental perspective24
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas24
Spatio-temporal variation of hydro-climatic variables and extreme indices over Iran based on reanalysis data24
Influence of large-scale climate signals on the precipitation variability over Iran23
Optimizing groundwater potential assessment: uncertainty reduction through sample balancing and enhanced hybrid modeling23
Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context23
Quantifying the causal effects of large-scale climate indices on basin-scale meteorological drought using transfer entropy: a case study of the yellow river basin22
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic22
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes22
Letter to the editor22
Integrating fuzzy logic and land use dynamics to delineate urban heat island formation zones and assess land surface temperature changes over three decades: a case study of Asir region, Saudi Arabia22
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
A tutorial on reproducing a predefined autocovariance function through AR models: application to stationary homogeneous isotropic turbulence20
Blind recovery of sources for multivariate space-time random fields20
Gradient free stochastic training of ANNs, with local approximation in partitions20
Landslide displacement prediction based on spatio-temporal association rule mining between target case and similar cases20
On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain20
SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin20
Spatio-temporal stochastic differential equations for crime incidence modeling19
Evaluation of eco-environmental quality and analysis of driving forces in the yellow river delta based on improved remote sensing ecological indices19
Multivariate motion patterns and applications to rainfall radar data19
Traffic flows time series in a flood-prone area: modeling and clustering on extreme values with a spatial constraint19
Clustering of temporal profiles in US climate change data using logistic mixture of spatial multivariate linear models19
Advancing parameter uncertainty quantification in hydrology models through integration of variational inference with a differentiable hydrology framework19
Characterization, sources and risk assessment of organochlorine pesticides (OCPs), organophosphorus pesticides (OPPs) and polycyclic aromatic hydrocarbons (PAHs) in agricultural soils from Jilin Provi19
Development of adaptive standardized precipitation index and its application in the Tibet Plateau region19
Modeling the contribution of Nitrogen Dioxide, Vertical pressure velocity and PM2.5 to COVID-19 fatalities18
Modeling stochastic porous media using gradient normalization based generative adversarial network18
Modeling non-stationarity in significant wave height over the Northern Indian Ocean18
Pirplo: a single-run method for calibrating wildland fire simulations like statistical models18
Direct scaling analysis of roughness bed formations in laboratory experiments18
Contaminant source identification in an aquifer using a Bayesian framework with arbitrary polynomial chaos expansion18
Horizontal grid spacing comparison among Random Forest algorithms to nowcast Cloud-to-Ground lightning occurrence18
Enhanced forest fire susceptibility mapping by integrating feature selection genetic algorithm and bagging-based support vector machine with artificial neural networks18
Application of stochastic storm transposition for hydrologic modeling in the mountainous western US18
Application of hybrid conceptual-statistical model to estimate streamflow with consideration of groundwater variation17
Real-time flood forecasting based on a general dynamic neural network framework17
Assessment of future changes in drought characteristics through stochastic downscaling and CMIP6 over South Korea17
Enhanced spatial modeling on linear networks using Gaussian Whittle-Matérn fields17
Nonhomogeneous poisson process model of summer high temperature extremes over China17
How global warming data are modeled via some novel mathematical programming scenarios in distributed lag model?17
Analysing and predicting the fine-scale distribution of traffic particulate matter in urban nonmotorized lanes by using wavelet transform and random forest methods16
The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models16
Prioritization of watersheds based on a picture fuzzy analytic hierarchy process and linear assignment model16
Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India16
Large-scale precipitation monitoring network re-design using ground and satellite datasets: coupled application of geostatistics and meta-heuristic optimization algorithms16
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries16
Modeling and forecasting atmospheric Carbon Dioxide concentrations at Bengaluru city in India16
Renewable energy, economic freedom and economic policy uncertainty: New evidence from a dynamic panel threshold analysis for the G-7 and BRIC countries16
Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches16
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information16
Influence of solar activity and large-scale climate phenomena on extreme precipitation events in the Yangtze River Economic Belt16
A novel semi data dimension reduction type weighting scheme of the multi-model ensemble for accurate assessment of twenty-first century drought16
Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data16
A novel procedure for monitoring temperature characteristics using multiple climate projections15
Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction15
Improved metamodels for predicting high-dimensional outputs by accounting for the dependence structure of the latent variables: application to marine flooding15
Inhomogeneous log-Gaussian Cox processes with piecewise constant covariates: a case study in modeling of COVID-19 transmission risk in East Java15
Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States15
A quantitative analysis of research trends in flood hazard assessment15
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 15
A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow15
Investigating the efficacy of physics-based metaheuristic algorithms in combination with explainable ensemble machine-learning models for landslide susceptibility mapping15
Stochastic modeling of geological domains using a truncated Gaussian collocated co-simulation approach15
Modified stochastic finite-fault modelling based on the rupture process: a case study of the 2013 Mw 6.7 Lushan earthquake in China15
Flood susceptibility prediction using multi criteria decision analysis and bivariate statistical models: a case study of Lower Kosi River Basin, Ganga River Basin, India15
A new approach to modeling pre-symptomatic incidence and transmission time of imported COVID-19 cases evolving with SARS-CoV-2 variants14
Estimation of model parameters and simulation of earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency14
Assessing climate change threats and urbanization impacts on surface runoff in Gdańsk (Poland): insights from remote sensing, machine learning and hydrological modeling14
Exposure and health: A progress update by evaluation and scientometric analysis14
Models of bed-load transport across scales: turbulence signature from grain motion to sediment flux14
Bayesian estimation of a dynamic stochastic general equilibrium model with health disaster risk14
Determination of univariate, bivariate and conditional return periods of hydrological droughts using two-dimensional multivariate functions14
Velocity estimation in compound channels with different bank slopes using Renyi and Tsallis entropy14
Risk aversion in the value of information analysis: application to lake management14
Exploring climate extremes in Brazil’s Legal Amazon14
Stochastic risk estimation due to non-stationary hazards using compound-NHPP13
A stochastic approach to the characterization of the seismic sources: a potential method for the assessment of sources of historical and paleo tsunami13
Fractional entropy-based models for S-type velocity distributions in turbulent open-channel flows and turbulent Couette flows13
Local-scale integrated seismic risk assessment using satellite data and field information in Northern Pakistan13
Evolution and drought hazard mapping of future meteorological and hydrological droughts using CMIP6 model13
A machine learning and geostatistical hybrid method to improve spatial prediction accuracy of soil potentially toxic elements13
A GIS-based multi-objective evolutionary algorithm for landslide susceptibility mapping13
Geoengineering from the standpoint of uncertainty and related risks: science or science fiction?13
Modeling noisy time-series data of crime with stochastic differential equations13
Correction to: Risk assessment of river water quality using long-memory processes subject to divergence or Wasserstein uncertainty13
A review on the climate-induced depletion of Iran’s aquifers13
Case-based risk analysis model for rainstorm inundation in metro systems based on a bayesian network13
Prediction of PM2.5 concentrations using soft computing techniques for the megacity Delhi, India13
Enhanced flushing in long emergent vegetation with two flow parallel interfaces: simulation and predictive modeling at moderate Reynolds number13
Probabilistic modeling of extreme events involving decaying variables with an application in seismology13
Comparison of ensemble Kalman filter application to a prediction model of soil solute transfer into surface runoff by updating different parameters13
Analyzing the dynamical relationships between meteorological and hydrological drought of Wadi Mina basin, Algeria using a novel multiscale framework13
Study on spatial spillover effect of haze pollution based on a network perspective12
Clustering constrained on linear networks12
Risk assessment for extreme air pollution events using vine copula12
Evaluating the effect of the uncertainty of CMIP6 models on extreme flows of the Caspian Hyrcanian forest watersheds using the BMA method12
Comparability of NARX model to SWAT model in simulating future water resources scenarios using CMIP6 climate model outputs over UASB, Ethiopia12
Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling12
Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm12
Spatial distribution of flood vulnerability index in Ardabil province, Iran12
Flood-based critical sub-watershed mapping: comparative application of multi-criteria decision making methods and hydrological modeling approach12
An accurate and efficient methodology on wind spectra relative to moving trains: field measurements of wind characteristics in complex terrains12
The Gauss hypergeometric covariance kernel for modeling second-order stationary random fields in Euclidean spaces: its compact support, properties and spectral representation12
Exploring streamflow dynamics: trends and abrupt changes in major European rivers12
Agricultural drought risk assessment considering risk transmission relationship: a novel fuzzy matrix synthesis with relative connection number12
Spatiotemporal simulation, early warning, and driving factors of soil heavy metal pollution in a typical industrial city in southeast China12
Copula-based joint distribution modelling of precipitation, temperature and humidity events in the assessments of agricultural risks, with a case study in Morocco12
Apply data science and feature selection techniques to predict carbon dioxide emissions in Taiwan12
Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions12
Spatiotemporal simulation of land-use/land cover scenarios and impacts on the dynamics of vegetation net primary productivity in the Wuhan metropolitan area, Central China12
Adaptive LASSO estimation for functional hidden dynamic geostatistical models11
Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions11
A copula-based multisite rainfall frequency analysis: a case study on the Lanyang watershed in Taiwan11
Estimation of a hybrid slip model and its application to stochastic simulation of the Mw 6.6 earthquake on September 5, 2022, in Luding, China11
Probabilistic seasonal precipitation forecasts using quantiles of ensemble forecasts11
A method for predicting water quality of river basin based on OVMD-GAT-GRU11
Index insurance for simultaneous flooding and drought risks with insufficient data: a two-step approach11
Using Harris hawk optimization towards support vector regression to ozone prediction11
Crime risk assessment through Cox and self-exciting spatio-temporal point processes11
LWDF: A lightweight diffusion model for sea surface temperature prediction11
Evaluating changes in flood frequency due to climate change in the Western Cape, South Africa11
A parametric framework for evaluating power outage risk trends under changing climatic conditions11
Statistical Analysis of Spatial Distribution of Ambient Air Pollution in Addis Ababa, Ethiopia11
Comparative analysis of joint distribution models for tropical cyclone atmospheric parameters in probabilistic coastal hazard analysis11
Intelligent water resource optimization in desert greenhouse aquaponics: an ElasticNet multi-kernel SVM approach for sustainable agriculture11
Multiple scenarios-based on a hybrid economy–environment–ecology model for land-use structural and spatial optimization under uncertainty: a case study in Wuhan, China11
MVIE-LSTM: a deep learning-based method for water quality assessment using monthly river data11
Unveiling the interactive effects: seasonal variations and pollution sources shaping the quality of surface water system in Khanh Hoa, Vietnam11
Enhancing reservoir inflow forecasting precision through Bayesian Neural Network modeling and atmospheric teleconnection pattern analysis11
Performance-based wind engineering assessment of a telecommunication mast utilizing Bayesian extreme wind velocity model11
Assessing the stage-period-discharge framework for modeling highly unstable rating curves: a case study at the UHE Peti Carrapato streamflow Gauging Station, Brazil10
Short-term forecast improvement of maximum temperature by state-space model approach: the study case of the TO CHAIR project10
Mixed statistical and data mining analysis of river flow and catchment properties at regional scale10
An analysis framework for stationary and nonstationary sediment load frequency in a changing climate10
On the evolution of turbulent characteristics of an eroding cohesive riverbank10
Risk assessment model for dust explosion in dust removal pipelines using an attention mechanism-based convolutional neural network10
Comparison of data-driven methods for linking extreme precipitation events to local and large-scale meteorological variables10
Heavy metal contamination of surface water and bed-sediment quality for ecological risk assessment of Gomti River, India10
Sedimentation-induced vulnerabilities of large reservoirs in India10
Diverging monthly rainfall trends in south peninsular India and their association with global climate indices10
On a new extreme value distribution: characterization, parametric quantile regression, and application to extreme air pollution events10
Uncertainty analysis of simplified 1D and 2D shallow water equations via the Karhunen–Loéve expansion and Monte Carlo simulations10
Identifying groundwater contamination sources based on the hybrid grey wolf gradient algorithm and deep belief neural network10
Application of explainable artificial intelligence to decode water-induced soil erosion in Lidder watershed of the Greater Himalayas10
Spatiotemporal evolution in water use structures of large-sized irrigation district, China10
Spatial extreme model for rainfall depth: application to the estimation of IDF curves in the Basque country10
Stationary and non-stationary temperature-duration-frequency curves for Australia10
Research on urban water security based on water poverty theory: a case study of lower yellow river cities10
Drought has varying impacts on the national economy10
Unveiling precipitation patterns in Schleswig-Holstein: a 50-year study of trends and climatic influences10
New design of water-energy-food-environment nexus for sustainable agricultural management10
Quantifying multivariate spatio-temporal dynamics of malaria risk by multiple Plasmodium species using graph-based optimization in Southern Ethiopia10
Precipitation variability at sub-seasonal scale under the ENSO influence in southeastern South America9
Revised and wider classes of isotropic space-time covariance functions9
Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations9
Revisiting homogeneous regions on the Indian subcontinent by accounting for entropy-based variability and precipitation seasonality9
Evaluating the downscaling uncertainty of hydrometeorological data in snowmelt runoff simulation9
Evaluation and selection of a rational test method for heavy metal leaching in terms of environmental and economic factors9
A comparison of numerical approaches for statistical inference with stochastic models9
Flood risk assessment of urban rail transit stations based on uncertainty analysis9
Investigating the changing spatiotemporal urban heat island and its impact on thunderstorm patterns by Hilbert Huang transform9
Climate change analysis from LRD manifold functional regression9
Rain gauge network design via implementation of global sensitivity analysis coupled with geostatistics and principal component analysis9
A copula-based framework for assessing heat wave extremes and probability of occurrence in Iran: implications for climate change9
Correction to: Examining the stage-IV radar-rainfall product for Probabilistic rainfall estimation: case study over Iowa9
Source-specific probabilistic health risk assessment of potentially toxic elements in groundwater of a copper mining and smelter area9
Reliability analysis of three-dimensional reinforced slope considering the spatial variability in soil parameters9
Non-stationary modelling framework for regionalization of extreme precipitation using non-uniform lagged teleconnections over monsoon Asia9
A self-organizing map-based approach for groundwater model parameter identification9
Integration of machine learning and particle filter approaches for forecasting soil moisture9
Adaptive stochastic modeling of nonlinear time series: ARFIMA meets improved fractional Ornstein-Uhlenbeck9
Probabilistic framework for the parametric modeling of leakages in water distribution networks: large scale application to the City of Patras in Western Greece9
Land subsidence prediction using recurrent neural networks9
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 prediction9
Dynamical analysis of an ecological model with prey refuge and Beddington–DeAngelis functional response8
Trend analysis of greening and browning in Hyrcanian forests and their responses to climate change8
Straight road noise mapping prediction using probabilistic approach8
Space-time variations of hydrological drought severities and trends in the semi-arid Euphrates Basin, Turkey8
Wind speed forecasting using univariate and multivariate time series models8
Evolution of extreme precipitation in Spain: contribution of atmospheric dynamics and long-term trends8
Mixed vector autoregression and GARCH–Copula approach for long-term streamflow probabilistic forecasting in a multisite system8
Urban flooding risk assessment based on the impact of land cover spatiotemporal characteristics with hydrodynamic simulation8
Road slope monitoring and early warning system integrating numerical simulation and image recognition: a case study of Nanping, Fujian, China8
Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria8
Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion8
Particle swarm and grey wolf optimization: enhancing groundwater quality models through artificial neural networks8
Dry GCMs vs. wet RCMs: precipitation biases over Southern Italy8
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India8
Quantitative soil erosion risk assessment due to rapid urbanization in the Cox’s Bazar district and Rohingya refugee camps in Bangladesh8
Spatiotemporal analysis of weather-related fire danger associated with climate change in the Zagros Mountains, Iran8
Vector-valued Gaussian processes on non-Euclidean product spaces: constructive methods and fast simulations based on partial spectral inversion8
Exploring substitution random functions composed of stationary multi-Gaussian processes8
A complex network-based framework for evaluating hydrometric monitoring networks8
Estimation of short-lived climate forced sulfur dioxide in Tehran, Iran, using machine learning analysis8
Enhancing flood susceptibility predictions by using certainty factor in non-flood selection: a case study of Guangdong Province with four tree-based machine learning models8
Prediction of agricultural nonpoint source pollution in highly urbanised areas based on shared socioeconomic pathways: a case study of Taihu Lake Basin8
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