Monitoring the Impacts of Artificial Recharge Structures on Water Table at Ambedkar Nagar, Uttar Pradesh, India
International Journal of Environment and Climate Change · pp. 121–127 · Published 1 Feb 2024
10.9734/ijecc/2024/v14i23928Abstract
To study the groundwater recharge through rainfall and artificial recharge structures in selected dry well in different locations of UP was experimented. The data was recorded (1998-2017) to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. Study reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource at pre and post monsoon. The variation of pre and post monsoon ground water level is maximum as the physical soil characteristics including hydraulic conductivity may enhance the recharge rate at least cost.
Cited by 2
Jacques André Tiemele, Eric Valère Djagoua, Hafsa Ouattara, Léon-Fils Adou · Journal of Geography, Environment and Earth Science International · 2024
Masoumeh Khorasani Alamdari, Sina Sadeghfam, Ali Ehsanitabar · Applied Geomatics · 2025
Related research
- Effect of Climate Change on Potential Groundwater Recharge in the Dry Zone of Sri Lanka — shares topic coverage
- Modeling the Impacts of Climate Change on Groundwater Resources: A Review — shares topic coverage
- Assessment of Recharge in Shallow Groundwater Aquifers Using Soil and Water Assessment Tool: A Case Study of the Thuthapuzha Subbasin — shares topic coverage
- Simulating the Hydrologic Response to Climate Change: Sani River Basin, Gujarat (India) — shares topic coverage
- Comparative Analysis of Empirical Formulae Used in Groundwater Recharge in Ogun – Oshun River Basins — shares topic coverage
Article metrics
Real usage data collected on this platform.
12
Page views
0
PDF downloads
8
Outbound clicks
2
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.