Works matching IS 14363240 AND DT 2025 AND VI 39 AND IP 2
Results: 22
Assessment of AERMOD and ADMS for NOx dispersion modeling with a combination of line and point sources.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 813, doi. 10.1007/s00477-024-02903-z
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Assessment of groundwater contamination in Aurangabad, Bihar using WQI and geostatistical modeling.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 789, doi. 10.1007/s00477-024-02901-1
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Oxygen-18 prediction using machine learning in the Baltic Artesian Basin groundwater.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 765, doi. 10.1007/s00477-024-02896-9
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Using Sobol' sensitivity analysis to identify important model layers of a prediction model for simulating soil nitrogen transport in surface runoff and subsurface water.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 747, doi. 10.1007/s00477-024-02894-x
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Regionalization of the extremal dependence structure using spectral clustering.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 725, doi. 10.1007/s00477-024-02893-y
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A fuzzy-based approach for clustering the meteorological drought over Iran.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 697, doi. 10.1007/s00477-024-02891-0
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EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 675, doi. 10.1007/s00477-024-02889-8
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- Article
Assessing the stage-period-discharge framework for modeling highly unstable rating curves: a case study at the UHE Peti Carrapato streamflow Gauging Station, Brazil.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 829, doi. 10.1007/s00477-024-02888-9
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Unveiling bioearth: statistical assessment of chemical properties, nutrients and heavy metals contamination from legacy dumpsites, Tamil Nadu, India.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 657, doi. 10.1007/s00477-024-02887-w
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Spatial predictive analysis of drought duration in relation to climate change using interpolation techniques.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 639, doi. 10.1007/s00477-024-02886-x
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Landslide susceptibility assessment for the Darjeeling Toy Train route: a GIS and machine learning approach.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 613, doi. 10.1007/s00477-024-02885-y
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Nature-based metaheuristic optimisation techniques for band selection in drone-based hyperspectral images for plant-level crop classification.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 599, doi. 10.1007/s00477-024-02884-z
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- Article
Changes in daily precipitation extremes over the Fiji Islands (1905–2021).
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 581, doi. 10.1007/s00477-024-02883-0
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Wind speed forecasting using univariate and multivariate time series models: Wind speed forecasting using univariate and multivariate time series...: B. Taoussi et al.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 547, doi. 10.1007/s00477-024-02881-2
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Empirical mode decomposition for improved radar wind estimation during rainy conditions.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 531, doi. 10.1007/s00477-024-02880-3
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Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 509, doi. 10.1007/s00477-024-02877-y
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Landslide susceptibility assessment based on remote sensing interpretation and DBN-MLP model: a case study of Yiyuan County, China.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 493, doi. 10.1007/s00477-024-02876-z
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Spatiotemporal evolution in water use structures of large-sized irrigation district, China.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 479, doi. 10.1007/s00477-024-02875-0
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New general classes of non-absolutely continuous bivariate distributions.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 465, doi. 10.1007/s00477-024-02874-1
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Changing rainfall patterns: a perspective of inter-event time between rainfall events and annual numbers of rainfall events.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 445, doi. 10.1007/s00477-024-02872-3
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Stochastic risk estimation due to non-stationary hazards using compound-NHPP.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 437, doi. 10.1007/s00477-024-02871-4
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Predicting saturated hydraulic conductivity from particle size distributions using machine learning.
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- Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 423, doi. 10.1007/s00477-024-02861-6
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