Remote sensing and GIS techniques have been used to map the groundwater potential zones in Salem Chalk Hills, Tamil Nadu, India. This study proposes to introduce the remote sensing and geographic information system (GIS) techniques in mapping the groundwater potential zones. Thilagavathi, N Subramani, T Suresh, M Karunanidhi, D Mapping of groundwater potential zones in Salem Chalk Hills, Tamil Nadu, India, using remote sensing and GIS techniques. © 2014, National Ground Water Association. The EBF model was found to be more effective in terms of prediction accuracy. The resulting GPP maps showed 83.41% and 77.53% accuracy in Boryeong and Pohang areas, respectively. The relationships were used as factor ratings in the overlay analysis to create GPP indices and maps.
Four relationships were calculated: belief (Bel), disbelief (Dis), uncertainty (Unc), and plausibility (Pls).
The relationships between the well locations and the factors were identified and quantified by using the EBF model. By using the constructed spatial database, 19 factors related to groundwater productivity were extracted. In the Pohang area, SPC data of ≥ 6.25 m3 /d/m were collected, corresponding to a yield of 500 m3 /d from 44 well locations. Additionally, in the Boryeong area, specific capacity (SPC) data not lower than 4.55 m3 /d/m were collected, corresponding to 300 m3 /d yield from 72 well locations. Data about related factors, including topography, lineament, geology, forest, soil, and groundwater data were collected and input into a spatial database. The evidential belief function (EBF) model was applied and validated for analysis of groundwater-productivity potential (GPP) in Boryeong and Pohang cities, agriculture region in Korea using geographic information systems (GIS). Groundwater productivity potential mapping using evidential belief function. The land use/land cover map will be also prepared for the different seasons using a digital classification technique with a ground truth based on field investigation. The groundwater availability of the basin will qualitatively classified into different classes based on its hydro-geo-morphological conditions. Various maps (i.e., base, soil, geological, Hydro-geological, Geomorphologic Map, structural, drainage, slope, land use/land cover and average annual rainfall map) will be prepared based on geospatial techniques. Remote sensing data and geographic information system will be used to locate potential zones for groundwater. The objective of this study is to map the groundwater potential zones in northern part of UAE and assess the contributing factors for exploration of potential groundwater resources. The development of a reasonable model for groundwater potential is therefore crucial for future systematic developments, efficient management, and sustainable use of groundwater resources. The increased demand for high-quality water, create an urgent need to evaluate the groundwater production of aquifers. In United Arab Emirates (UAE) domestic water consumption has increased rapidly over the last decade. Geomatics for Mapping of Groundwater Potential Zones in Northern Part of the United Arab Emiratis - Sharjah CityĪl-Ruzouq, R.
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