Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122490 - 122490

Published: Sept. 24, 2024

Language: Английский

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Assessing access to safe drinking water in flood-affected areas of District Nowshera, Pakistan: A case study towards achieving sustainable development goal 6.1

Ecohydrology & Hydrobiology, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

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Spatio-Temporal Analysis of Hydrometeorological Variables for Terrestrial and Groundwater Storage Assessment

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101333 - 101333

Published: Sept. 4, 2024

Language: Английский

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

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

Published: Aug. 1, 2024

Language: Английский

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An assessment of potential infiltration areas to support groundwater supply system in Jagakarsa, South Jakarta, based on Multi-Criteria Decision-Making (MCDM) analysis

Case Studies in Chemical and Environmental Engineering, Journal Year: 2024, Volume and Issue: 10, P. 100799 - 100799

Published: June 15, 2024

Jagakarsa is an urban area in South Jakarta, Indonesia, that uses groundwater for raw water because there are no clean supply facilities. The significant increase the need due to increasing urbanization threatens availability maintain balance of surrounding environment. Natural conditions with a deep layer clay and dense built environment further runoff capacity has difficulty seeping into soil. intense extraction without balancing recharge results land subsidence. Until now, been research on this issue. Thus, our necessary. This aims assess potential infiltration areas Jagakarsa. Due limited data, as first step, we used qualitative model MCDM analysis (AHP MIF methods) integrated GIS map areas. AHP method explained detail matrix system formula, readers can understand calculation steps more easily. study five influencing factors: geological formation, use, slope, rainfall, soil type. show most locations have low 74.49 % 75.25 %) recharge. was validated using level measurements. accuracy 74.51 %, reaches 75.26 %. Therefore, needed obtain appropriate effective technology maintaining availability.

Language: Английский

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Assessing the performance of machine learning and analytical hierarchy process (AHP) models for rainwater harvesting potential zone identification in hilly region, Bangladesh

Journal of Asian Earth Sciences X, Journal Year: 2025, Volume and Issue: 13, P. 100189 - 100189

Published: Jan. 5, 2025

Language: Английский

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A GIS based approach for identifying potential sites for harvesting rain water in the Hathamati River Basin, India

ISH Journal of Hydraulic Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Jan. 29, 2025

Language: Английский

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Integration of BIM and GIS to reduce construction and demolition waste

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 99 - 118

Published: Jan. 1, 2025

Language: Английский

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Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators

Journal of Atmospheric and Solar-Terrestrial Physics, Journal Year: 2024, Volume and Issue: 263, P. 106338 - 106338

Published: Aug. 27, 2024

Language: Английский

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Remote Sensing-Based Assessments of Socioeconomic Factors for Urban Ecological Resilience in the Semi-Arid Region

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: 96, P. 12 - 22

Published: June 14, 2024

Language: Английский

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