Isi Banjir merupakan fenomena alam yang akan selalu berulang terjadi. Kombinasi penggunaan LRB dan analisa hidologi di jelaskan di penelitian ini dengan mengambil contoh Perumahan di Kawasan Tangerang Selatan yang mengalami perkembangan pesat. Urbanisasi menyebabkan luas lahan hijau yang ada sebagai daerah resapan air dan pemukiman tidak seimbang. Menjadikan penyebab utama terjadinya banjir. Dari hasil pengolahan data curah hujan, dapat di analisis intensitas curah hujan dengan menggunakan pendekatan diagram hyetograph. Debit banjir rencana yang didapat dengan memodelkan dengan program bantuan, yaitu SWMM 5.0 untuk periode 100 tahun, sehingga didapat debit banjir rencana sebesar 0.98 m³/detik. Dari hasil penelitian, diperoleh jumlah LRB yang dapat diterapkan adalah 750 buah pada tepi jalan dengan bentang 750 meter di dekat saluran primer dan jarak antar lubang resapan biopori sepanjang 1 meter. Debit yang dapat diserap oleh lubang resapan biopori sebesar 0.328125 m³/detik. Besar pemanfaatan lubang resapan biopori (LRB) dalam mereduksi beban drainase di Perumahan tersebut sebesar 33.48%. Penggunaan lubang resapan biopori (LRB) merupakan sistem yang efektif yang bisa di lakukan masing masing di rumah saja dalam rangka menangani permasalahan banjir. LRB juga dapat dilakukan di rumah saja pada saat pandemic sebagai upaya pemulihan sosial dan ekonomi masyarakan di bidang penanggulangan banjir.
This research was conducted based on the anxiety of Graha Bunga Residence who are always hit by floods during heavy rainfall. This study aims to provide a solution to overcome the floods was often occurs in the Graha Bunga Residence through installing pumps and flood gates which then simulated using EPA SWMM 5.1 software. In this research, a reservoir is needed to collect rainwater before it is released through sluice gates. The data used in this study are rainfall data, drainage channel, pump capacity and sluice gate size. The research was started by looking for the elevation of existing drainage channels using Google Earth then next get the calculation rainfall per hour, where it calculated using the Mononobe formula. Furthermore, the rainfall simulation is found out the sluice gate and the active pumps are still able to accommodate the rainfall therefore it requires additional pumps to dispose excessive water.
Extreme Flood events due to climate change have been hit Semarang City several times. The disaster usually occurs because of the development of flood protection generally does not include climate change factors on the design flood. The paper was appointed to characterize rainfall run-off with 10 years of historical data from three rain gauge stations likely Wolo, Brumbung, and Maritim. The analytical showed annual rainfall and maximum daily rainfall tends to increase on average 2.139 mm per year, the number of rainy days tends to decrease two days per year. The future Intensity Duration Frequency (IDF) is needed to anticipate global temperature increases more than 2 degrees. Whereas the analysis for drainage capacity showed by the intensity return period of rainfall for 2, 5, 10, 25, 50, 100 years were 81. 656 mm/ hour, 104.262 mm/hour,116.00 mm/hour, 126.511 mm/hour, 132.773 mm/hour, 138.030 mm/hour. With the findings, it is expected to develop a flood control system, simply considering the impact of climate change. Hence, the research is successful to predict the flood in a small catchment, with historical data only. The result contributed to one frame that it should take into account the necessity of flood mitigation, including the climate change impact.
The storm in the early hours on the first day of 2020 had recorded the highest intensity of rainfall since 1996. It deluged Jakarta as the capital city of Indonesia and the surrounding satellite cities which including Tangerang Selatan. An urban housing area in Tangerang Selatan, located adjacent to the Ciputat river is selected as study area. The area was affected by floods since the urban housing was established. The United States Environmental Protection Agency's Storm Water Management Model version 5.1 was used for finding out the hydrological and hydraulic problems. The model indicated that the flows from the sub-catchments did not contribute to cause flood. It was discovered that backwater effects occurred in the Ciputat river was the main cause of flooding. Thus, the existing drainage channels were overwhelmed by additional flow from the river.
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