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, Год журнала: 2024, Номер 370, С. 122490 - 122490

Опубликована: Сен. 24, 2024

Язык: 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, Год журнала: 2024, Номер unknown

Опубликована: Июль 1, 2024

Язык: Английский

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

Groundwater for Sustainable Development, Год журнала: 2024, Номер 27, С. 101333 - 101333

Опубликована: Сен. 4, 2024

Язык: 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, Год журнала: 2024, Номер 21(8), С. 2547 - 2561

Опубликована: Авг. 1, 2024

Язык: 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, Год журнала: 2024, Номер 10, С. 100799 - 100799

Опубликована: Июнь 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.

Язык: 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, Год журнала: 2025, Номер 13, С. 100189 - 100189

Опубликована: Янв. 5, 2025

Язык: 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, Год журнала: 2025, Номер unknown, С. 1 - 12

Опубликована: Янв. 29, 2025

Язык: Английский

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Integration of BIM and GIS to reduce construction and demolition waste

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 99 - 118

Опубликована: Янв. 1, 2025

Язык: 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, Год журнала: 2024, Номер 263, С. 106338 - 106338

Опубликована: Авг. 27, 2024

Язык: Английский

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

Rangeland Ecology & Management, Год журнала: 2024, Номер 96, С. 12 - 22

Опубликована: Июнь 14, 2024

Язык: Английский

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