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Understanding hydrological responses through LULC analysis and predictive modelling(MLPNN-MC Model):A study of Bandu Sub-watershed(India)over three decades
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作者 sudipto halder Somnath Mandal +3 位作者 Zarkheen Mukhtar Debdas Ray Gupinath Bhandari Suman Paul 《Artificial Intelligence in Geosciences》 2025年第2期217-235,共19页
1.Introduction Planning and managing land resources requires the use of land use and land cover(LULC)maps,which provide vital information on the interactions between humans and the environment(Esfandeh et al.,2022;Pra... 1.Introduction Planning and managing land resources requires the use of land use and land cover(LULC)maps,which provide vital information on the interactions between humans and the environment(Esfandeh et al.,2022;Pratic`o et al.,2021;Yao et al.,2022).The precision of LULC monitoring has increased due to developments in Earth observation and remote sensing,allowing for well-informed environmental management decision-making(Qian and Zhang,2022;Viana et al.,2019). 展开更多
关键词 remote sensingallowing land use land cover bandu sub watershed predictive modelling land use land cover lulc mapswhich mlpnn mc model hydrological responses planning managing land resources
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Harnessing groundwater resources in hard-rock terrain:A geoinformatics perspective of the Bandu Sub-watershed of Purulia District,India
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作者 sudipto halder Somnath Mandal +3 位作者 Debdas Ray Gupinath Bhandari Subhasis Bhattacharya Suman Paul 《Chinese Journal of Population,Resources and Environment》 2025年第3期412-430,共19页
Groundwater,the world’s largest freshwater supply,is facing increasing strain due to various uses such as agriculture,industry,livestock,and household.This study aims to investigate groundwater prospective zonation i... Groundwater,the world’s largest freshwater supply,is facing increasing strain due to various uses such as agriculture,industry,livestock,and household.This study aims to investigate groundwater prospective zonation in the Bandu Sub-watershed in Purulia,West Bengal,using the AHP model and RS&GIS methodologies.To achieve Goal 6 of the UN-initiated 17 SDGs,it is crucial to determine the spatial distribution of groundwater prospective zones village-by-village,with 1/3 of the regions falling under red alert zones for sustainable development.The 16 most crucial elements affecting groundwater prospective zones(GWPZs)were mapped using AHP,and the final prospective map was obtained through Weighted Overlay analysis.The study identified five different classes within the Sub-watershed as excellent,good,moderate,poor,and very poor.The validation results showed that the approach used to derive GWPZ is reliable,and the results can be applied to future sustainable developments to reduce water shortages through suitable management methods.The research aims to increase the effectiveness of sustainable groundwater zone management,ensuring long-term water management and access. 展开更多
关键词 GROUNDWATER Sub-watershed SDG GWPZs AHP Validation
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