Estimation of Potential Rainwater Catchment Area Using Self Organizing Map (Som)

Objective: Water catchment areas are essential for collecting rainwater and mitigating the impact of surface flow runoff. With ongoing developmental activities altering land use and slope characteristics, these changes can significantly affect slope functions, theoretically increasing the surface runoff coefficient and, consequently, the surface runoff discharge. The research challenge lies in identifying the optimal regions for establishing catchment areas. This study proposes a regional cluster-based approach for determining suitable water catchment zones, utilizing each area's infiltration points and viable types.   Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. [List relevant theories, models or frameworks] stand out, providing a solid basis for understanding the context of the investigation.   Method: The cluster of catchment areas was identified using the Self-Organizing Map (SOM) Method.   Results and Discussion: The findings reveal that four regions - Sumurrejo, Tembalang, Sendang Mulyo, and Karang Anyar - are viable as catchment areas, characterized by their high permeability, favorable slope conditions, and groundwater levels, as determined by SOM analysis. Additionally, the infiltration well model identified sixteen areas with potential, whereas sixty-eight areas were deemed unsuitable for catchment purposes due to their failure to meet the required criteria   Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of rainwater conservation using catchment areas in Semarang, Indonesia. These implications could encompass environmental management, urban planning, and sustainable development sectors. The practical implications of this research could directly influence the design and implementation of effective rainwater harvesting systems, contributing to water conservation strategies and sustainable urban infrastructure development in Semarang.   Originality/Value: This study contributes to the literature by proposing an innovative approach to determining optimal water catchment areas using the Self-Organizing Map (SOM) method. By employing a regional cluster-based approach, the research introduces a new methodology for identifying suitable water catchment zones based on infiltration points and viable types within each area. The relevance and value of this research are evidenced by its potential impact on environmental management, urban planning, and sustainable development sectors. The results provide actionable insights for the design and implementation of effective rainwater harvesting systems, particularly in urban areas like Semarang, Indonesia, thereby promoting water conservation and sustainable urban infrastructure development.