Analysis of groundwater recharge zone using remote sensing method in Bayah Region. Issue 1 (August 2020)

• Record Type: Journal Article
• Authors: Maghribi, A A; Supriatna,
• Is Part Of: IOP conference series. Volume 561:Issue 1(2020)
• Publication Date: 2020-08
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/561/1/012024
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Groundwater is one of the most important natural resources. Based on population needs, groundwater use meets around 60% for irrigation, industry, drinking water, sanitary facilities, etc. Based on data from the DESDM of Banten Province (2016), the Bayah Sub district area belongs to a small productive aquifer and rare underground water. With the development of in the Bayah region, it will be necessary to have a spatial with environmental insight. One of the important things in determining environmentally planning is by determining groundwater recharge areas in the area. The method used in this study is the Remote Sensing method. Data sources which used here is geological maps, DEMNAS imagery, Landsat-8 imagery, Landsat-5 TM imagery, Bayah rainfall stations. These data are processed using GIS to produce thematic maps such as lithology maps, land cover, lineament density, drainage density, rainfall, slope, and geomorphology. Scoring of all thematic maps is done using the multi-criteria evaluation / analysis method based on the superiority of each thematic map and the data in the thematic map itself on groundwater recharge value. The results of scoring on each thematic map are then overlaid on each thematic map to produce a map of potential groundwater recharge. According to this study the research can conclude that remote sensing and multi criteria evaluation can effectively use for finding groundwater recharge potential by using those 7 thematic maps. The study area mostly has high value groundwater potential recharge (2-3) which is 109, 17 km2 and 77% of the study area.