A novel hybrid of meta-optimization approach for flash flood-susceptibility assessment in a monsoon-dominated watershed, Eastern India

Environmental Earth Sciences, Год журнала: 2022, Номер 81(5)

Опубликована: Фев. 21, 2022

Язык: Английский

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Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India

Exposure and Health, Год журнала: 2022, Номер 15(1), С. 113 - 131

Опубликована: Апрель 23, 2022

Язык: Английский

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Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India

Journal of Cleaner Production, Год журнала: 2022, Номер 346, С. 131205 - 131205

Опубликована: Март 4, 2022

Язык: Английский

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Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

The Science of The Total Environment, Год журнала: 2023, Номер 904, С. 166960 - 166960

Опубликована: Сен. 9, 2023

Язык: Английский

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GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India

Natural Hazards Research, Год журнала: 2023, Номер 3(3), С. 420 - 436

Опубликована: Май 19, 2023

The unique characteristics of drainage conditions in the Pagla river basin cause flooding and harm socioeconomic environment. main purpose this study is to investigate comparative utility six machine learning algorithms improve flood susceptibility ensemble techniques' capability elucidate underlying patterns floods make a more accurate prediction susceptibilities basin. In present scenario, frequency area becomes high with heavy sudden rainfall, so it essential mitigation measure. At First, spatial database was built 200 locations sixteen influencing factors, its process help Geographic Information System (GIS) environment build up different models applying techniques. It has found zone using learning-based Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), Reduced Error Pruning Tree (REPTree), Logistic Regression (LR), Bagging helping GIS model validation Receiver Operating Characteristic Curve (ROC). Afterward, all gate accuracy zone. calculated under very 8.69%, 14.92%, 14.17%, 12.98%, 14.65%, 13.24% 13.41% for ANN, SVM, RF, REPTree, LR Bagging, respectively. Finally, ROC curve, Standard (SE), Confidence Interval (CI) at 95 per cent were used assess compare performance models. obtained results indicate that are highly accepted Area Under (AUC) between 0.889 (LR) 0.926 (Ensemble). After application, ROC, Ensemble suited highest compared other projecting area. curve AUC values 0.918 0.926, SE (0.023, 034), narrowest CI (95 cent) (0.873–0.962, 0.859–0.993) whereas (the ROC) value (0.914, 0.919), both training datasets. ensembling, result shows susceptible located lower part area, lie 4.46 6.00 result. areas comprise low height belong Murarai I, II, Suti I II C.D. block West Bengal. current will policymakers researcher determine conditioning problems prospects.

Язык: Английский

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Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

Journal of Hydrology Regional Studies, Год журнала: 2021, Номер 36, С. 100848 - 100848

Опубликована: Июнь 26, 2021

The present study has been carried out in the Tabriz River basin (5397 km2) north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles range 0 150.9 %. average annual minimum maximum temperatures are 2 °C 12 °C, respectively. rainfall ranges 243 641 mm, northern southern parts of receive highest amounts. In this study, we mapped groundwater potential (GWP) with a new hybrid model combining random subspace (RS) multilayer perception (MLP), naïve Bayes tree (NBTree), classification regression (CART) algorithms. A total 205 spring locations were collected by integrating field surveys data Iran Water Resources Management, divided into 70:30 for training validation. Fourteen conditioning factors (GWCFs) used as independent inputs. Statistics such receiver operating characteristic (ROC) five others evaluate performance models. results show that all models performed well GWP mapping (AUC > 0.8). MLP-RS achieved high validation scores = 0.935). relative importance GWCFs was revealed slope, elevation, TRI HAND most important predictors presence. This demonstrates ensemble can support sustainable management resources.

Язык: Английский

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Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios

Journal of Cleaner Production, Год журнала: 2021, Номер 320, С. 128713 - 128713

Опубликована: Авг. 20, 2021

Язык: Английский

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Threats of climate change and land use patterns enhance the susceptibility of future floods in India

Journal of Environmental Management, Год журнала: 2021, Номер 305, С. 114317 - 114317

Опубликована: Дек. 24, 2021

Язык: Английский

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Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation

Ecological Informatics, Год журнала: 2021, Номер 65, С. 101425 - 101425

Опубликована: Сен. 11, 2021

Язык: Английский

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Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India

Journal of Cleaner Production, Год журнала: 2022, Номер 369, С. 133150 - 133150

Опубликована: Июль 31, 2022

Язык: Английский

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