ARTIFICIAL RECHARGE SELECTION USING COMBINED FUZZY LOGIC AND GENETIC ALGORITHM IN CISANGKUY SUB-WATERSHED, BANDUNG

• Main Author: Razzaaq Al Ghiffari, Muhammad
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/64605
• Institution: Institut Teknologi Bandung

The Cisangkuy sub-watershed is part of the Citarum watershed with a total area of 307 km2. The total area is in line with the potential of water resources which is quite good, but over time the hydrological condition of the area has decreased. This is due to changes in land cover from year to year and indicated by high discharge and flooding in the rainy season. The purpose of this study is to find the optimal location for artificial recharge as an effort to maintain water balance in the Cisangkuy subwatershed. Fuzzy logic is used for determining the location of artificial recharge by considering the input variable DRASTIC in the form of depth to groundwater level, net recharge, aquifer media, soil type, slope, vadose zone, and hydraulic conductivity. In addition, subtractive clustering is performed to obtain the class of each DRASTIC parameter. Furthermore, genetic algorithm is carried out to obtain the optimal location of the artificial recharge zone. The priority zone is indicated by the high class of each DRASTIC parameter input. Combined fuzzy logic and genetic algorithm shows that the optimal location for artificial recharge is in the northern part of the Cisangkuy sub-watershed, precisely in the Banjaran area.