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A Review of Recent Developments on Modeling Low Impact Development (LID) Technique: Tinjauan Terhadap Perkembangan Terkini dalam Pemodelan Teknik Low Impact Development (LID) Al Amin, Muhammad Baitullah; Sujono, Joko; Triatmadja, Radianta
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol. 13 No. 1 (2024): Cantilever
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35139/cantilever.v13i1.320

Abstract

Urban areas are more susceptible to flooding and water body contamination due to the detrimental effects of urbanization. As a result, a sustainable urban drainage system, also known as low impact development (LID) technique, is required. Although this technique can be extensively applied, the planning and design processes are multi-dimensional, multi-variable, and site-specific, which must consider various local conditions and factors. Consequently, these processes can be very complicated and time-consuming for professionals, necessitating support from computer modeling. This study intends to thoroughly explore the idea of LID modeling, various available computer models, and other tools for its optimization and decision-making processes. The most recent trustworthy journal publications that addressed the subjects under discussion were reviewed. This paper used the descriptive and comparative approaches as the analytical methods. According to the findings of the review, Storm Water Management Model (SWMM) is the computer model in LID modeling that is most frequently employed. This model is a fundamental package for dynamic urban rainfall-runoff modeling, and it has the benefits of being lightweight, simple to use, and an intuitive user interface. Besides, this model is public domain (free to use), open source, and interoperable with many hydro modeling applications. A specific LID editor module is also included in this model for modeling different LID units. To acquire the best LID planning and design from multiple criteria and alternatives, it is also necessary to use metaheuristic algorithms as an optimization model and a multi-criteria decision-making (MCDM) model in addition to the rainfall-runoff model. The authors believe combining the hydrologic and hydraulics models integrated with geographical information systems (GIS), metaheuristic algorithms, and MCDM is the most comprehensive and appropriate method for LID modeling in urban watersheds.
Simulasi Pengendalian Limpasan Permukaan dengan Penerapan Low-Impact Development di Kawasan Perumahan: Simulation of Surface Runoff Control with Low-Impact Development Implementation in Residential Area Yuono, Agus Lestari; Iryani, Sakura Yulia; Alia, Febrinasti; Al Amin, Muhammad Baitullah
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol. 13 No. 2 (2024): Cantilever
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35139/cantilever.v13i2.400

Abstract

Applying the Low-Impact Development (LID) approach in urban drainage systems can help control surface runoff, therefore mitigating the potential of flooding risk. However, its effectiveness varies widely, and various technical factors influence its performance. This study aims to determine the effectiveness and performance of LID units, namely bioretention and infiltration wells, in controlling surface runoff. The Center Park Housing area, covering an area of ​​11.53 hectares located in Palembang City, was chosen as the study area. The ability of the LID unit to reduce the volume and discharge of runoff, as well as the runoff coefficient, was simulated using the Storm Water Management Model (SWMM) program based on input from various design rainfall cases. There were four simulated design rainfalls, i.e. 108.76 mm (2-year return period), 133.20 mm (5-year), 149.38 mm (10-year), and 169.82 mm (25-year). The LID unit implementation scenarios were varied with the number of infiltration well units of 1 - 4 units per house plot. The number and area of ​​bioretention units were considered constant for all scenarios. The simulation results show that the LID implementation can reduce runoff volume and peak discharge and help decrease the runoff coefficient in the study area effectively, especially in the case of lower design rainfall (2-year). The performance of the infiltration wells unit in producing runoff losses is better than the bioretention unit because its construction structure has a larger storage capacity for a similar unit area. Although the LID method is quite effective in reducing runoff, its combination with conventional methods may produce better performance, so further research that discusses this needs to be addressed.