Optimization of water filter station locations on polluted rivers of Jakarta

Abstract

Flooding has always been one of the challenging problems Jakarta faces for decades, damaging not only the infrastructure but also the economic aspects of the city. Almost every year, significant losses are recorded in both parts, including for the residents who depend on it. One of the repressive steps for flood prevention is the placement of waste filtering stations on the rivers in multiple locations. According to the Ministry of Environment and Forestry representative for Jakarta, there are currently 28 waste filtering stations installed within Jakarta's 661.5 km2 region and 13 rivers. Continuously challenged with the increasing amount of waste, flood prevention efforts must include installing more filtering stations. Therefore, studying the optimum future station location to minimize the flooding hazard effectively becomes vital. This paper utilized the Hot Spot Spatial Analysis method to estimate several optimal areas that fit the criterion of previously built filtering stations. We obtained the local hotspot statistics for each parameter from the Getis-Ord local statistics equation. In addition, many necessary layers are also utilized, such as volume of waste filter points, population density, and flood-affected areas datasets to roughly approximate the real-world condition. This study aims to provide recommendations that can determine the optimal waste filtering points and provide a better solution for Jakarta from the problem of the harmful amount of waste in the river that could induce flooding hazards. The result shows that the waste filtering stations in the 13 major rivers in Jakarta are still not effective. This research helps to show the optimal locations suitable for constructing new waste filters.