Cited by Four Optimization Meta-heuristic Approaches in Evaluating Groundwater Quality (Case study: Shiraz Plain)

Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods DOI

Johnson C. Agbasi, Mahamuda Abu, Johnbosco C. Egbueri

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: June 21, 2024

Language: Английский

Citations

The transmission of isotopic signals from precipitation to groundwater and its controls: An experimental study with soil cylinders of various soil textures and burial depths in a monsoon region DOI

Ying Jiang, Jie Li, Rui Zuo

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 631, P. 130746 - 130746

Published: Jan. 25, 2024

Language: Английский

Citations

Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models DOI

Ahmed Elbeltagi, Aman Srivastava, Muhsan Ehsan

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 53, P. 101759 - 101759

Published: April 11, 2024

Eight governorates in upper Egypt namely Aswan, Asyut, Beni-Suef, Fayoum, Luxor, Minya, Qena and Sohag. This study aims to develop novel hybrid machine learning (ML) models for forecasting the drought phenomena based on limited inputs eight Egyptian govern-orates, ii) evaluate performance accuracy of developed ML predicting Palmer Drought Severity Index (PDSI) recommend optimal model statistical metrics. The were Convolution Neural Networks (CNN)-Long Short-Term Memory (LSTM), CNN-Random Forest (RF), CNN-Support Vector Machine (SVR), CNN-Extreme Gradient Boosting (XGB). Results showed that CNN-LSTM outperformed others followed by CNN-RF. Values NSE, MAE, MARE, IA, R2, RMSE 0.885, 0.915, − 2.073, 0.967, 0.573, respectively. For testing stage CNN-SVR was found perform best; average values 0.828, 0.364, 2.903, 0.950, 0.828 0.688, provided a way forward convenient estimation PDSI from meteorological data terms advancing deep algorithms. models, more or less, can satisfactory predict values. Additionally, suggests as most suitable advance future investigation area.

Language: Английский

Citations

Spatial distribution of drinking, irrigation water quality, and health risk indices of high-altitude lakes DOI

Said Muhammad,

Aasim Zeb,

Rizwan Ullah

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 134, P. 103597 - 103597

Published: April 12, 2024

Language: Английский

Citations

Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques DOI

Sachin P. Shinde,

V. N. Barai,

B. K. Gavit

et al.

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: April 29, 2024

Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable due to climate change pollution on Earth’s surface directly affects groundwater resources. In this area, most people depend irrigation purposes, every summer, of area depends a environment. Hence, we selected two popular methods, analytical hierarchy process (AHP) multiple influence factor (MIF) which can be applied map potential zones. Nine thematic layers, such as land use cover (LULC), geomorphology, soil, drainage density, slope, lineament elevation, level, geology maps, were study using remote sensing geographic information system (GIS) techniques. These layers integrated ArcGIS 10.5 software with help AHP MIF methods. The zones revealed four classes, i.e., poor, moderate, good, very based MF zone 241.50 (ha) Poor, 285.64 408.31 92.75 good method. Similarly, method that classes divided into classes: 351.29 511.18 (ha), 123.95 41.78 good. results compared determine methods best planning water resource development specific areas have basaltic rock drought conditions. Both maps validated yield data. receiver operating characteristic (ROC) curve under (AUC) model found 0.80 (good) 0.93 (excellent) respectively; hence, delineation planning. present study’s framework will valuable improving efficiency conserving rainwater maintaining ecosystem India.

Language: Английский

Citations

A comprehensive review of geothermal energy storage: Methods and applications DOI

Manan Shah, Mitul Prajapati, Kriti Yadav

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 98, P. 113019 - 113019

Published: July 27, 2024

Language: Английский

Citations

Wetland degradation and its impacts on livelihoods and sustainable development goals: An overview DOI

Sonali Kundu, Barnali Kundu, Narendra Kumar Rana

et al.

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 48, P. 419 - 434

Published: May 27, 2024

Language: Английский

Citations

Soil erosion susceptibility mapping of Hangu Region, Kohat Plateau of Pakistan using GIS and RS-based models DOI

Fakhrul Islam, Liaqat Ali Waseem, Tehmina Bibi

et al.

Journal of Mountain Science, Journal Year: 2024, Volume and Issue: 21(8), P. 2547 - 2561

Published: Aug. 1, 2024

Language: Английский

Citations

Shallow vs. Deep Learning Models for Groundwater Level Prediction: A Multi-Piezometer Data Integration Approach DOI

Ali Yeganeh, Farshad Ahmadi, Yong Jie Wong

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(7)

Published: June 18, 2024

Language: Английский

Citations

A Comprehensive Review of Machine Learning Algorithms and Its Application in Groundwater Quality Prediction DOI

Harsh Pandya,

Khushi Jaiswal,

Manan Shah

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Language: Английский

Citations