Lack and damage of clean water and also flooding occurred in Cimahi river basin. Water sources polluted by industry and human activities. The purpose of this study was to design the water balance model of the Cimahi watershed as a Green Watershed. The study locations were the Cimahi river, Cilember river, Cibeureum river and Cisangkan river, which flow through the city of Cimahi. The method used is the analysis of the rainfall runoff model with the hydrograph of convolution method in the four watersheds, land use analysis, runoff coefficient analysis, dilution model analysis, groundwater analysis and demographic analysis. The results of this study is Design Green Cimahi Watershed that re-functioning local drainage to maintain the hydrological storage capacity of all watersheds in the city of Cimahi, normalizing Cilember river to reach the width of the river by 5.6 m from the previous width of 1.5 m, and the river capacity which was 4.8 m3 / s to 42.37 m3 / s so that enough to accommodate Q50 flood discharge, enforcing the rule that every industry must process its waste through a waste processing plant, building Pasirkaliki retention ponds that can function for groundwater conservation, flood control and clean water needs.
Flood early warning systems are used for flood disaster preparedness to reduce disaster risks. The problem is damage of water level sensor due to aggradation which also results in river capacity reduced. The purpose of this research is to determine the effect of river basin morphology change on threshold parameters in flood early warning system. Measured hydraulic parameters are flow depth, flow velocity, and riverbed slope. Land cover was conducted using Cimahi river basin land use map to determine runoff coefficient. Rainfall-runoff model used is the Deconvolution Software program to determine unit hydrographs. Results of this study indicate that morphological changes of watershed significantly influence threshold parameters. A 0.5 m rise in river bed can reduce river capacity by 41.8% and narrowing of 16 m-wide river border dropped river capacity from 730 m3/s to 95.2 m3/s. An increase of 17 % runoff coefficient, increased direct runoff by 17%. Reducing this river capacity makes threshold parameters in flood early warning system invalid causing flood events cannot be detected earlier by the system.
Daerah Cimahi yang sering mengalami genangan air yaitu daerah di Jalan Raya Cibabat (Jalan Nasional 3) yangterletak di Kampung Karang Mekar, Kelurahan Cibabat, Kecamatan Cimahi Utara. Salah satu penyebab terjadinyagenangan yaitu kondisi lahan, dimana terjadi cekungan pada daerah tersebut. Selain itu penyebab terjadi genanganair yaitu kapasitas drainase di daerah tinjauan yang sudah tidak memadai dan tersumbatnya saluran oleh sampah.Pada penelitian ini dilakukan pemeriksaan kapasitas drainase baru dengan metode analisis hidrologi secara manualdan analisis hidrolika dengan dua cara yaitu manual dan menggunakan Software HEC-RAS. Pengumpulan datadidapatkan dari hasil survei lapangan dan data sekunder seperti data curah hujan didapat dari PU pengairan, dan datacitra satelit. Hasil analisis penampang eksisting didapatkan bahwa kapasitas drainase pada saluran S.D-C dan S.C-Emasih mampu untuk menahan debit hujan rencana sampai 10 tahun kedepan, sedangkan drainase pada saluran S.E-F,S.F-G dan outlet sudah tidak memadai. Maka dari itu solusi untuk mengatasi genangan air di saluran S.E-F, S.F-Gdan outlet yaitu normalisasi dengan memperbesar dimensi drainase dengan ukuran 1.5 m x 1.5 m di saluran S.E-F,ukuran 2.3 m x 2.3 m di S.F-G dan 2,5 m x 2,5 pada saluran outlet.
Climate change and advanced urbanization level followed by the changing function of an area affect to the amount of water absorption area. It causes puddle and flood in city, include Cimahi, West Java, which is in the last 10 years has been surrounded by flood and puddle. To avoid the flood case in Cimahi, the re-identification and flood-factor inventory are needed. The identification and inventory are using the simplest method (literary study from any source), start from discussing session with Cimahi government, interviewing and filling questioner to the citizen who live in flood and puddle area, measuring river and drainage profile, counting the capacity of river and drainage, until simulating the 2-dimension and 3-dimension of flood and puddle. The result of the identification and inventory is shown in Flood-Prone-Zone Map and Puddle-Prone-Zone Map. According to Cimahi’s Flood-Prone-Zone Map, it shows that the flood-safe area is about 110,747 ha (2,70%), the not-flood-prone area is about 494,233 ha (12,05%), the flood-prone area is about 2016,474ha (49,18%), and the very-flood-prone area is about 1478,799 ha (36,07%). According to Cimahi’s Puddle-Prone-Zone Map, it shows that the puddle-safe area is about 128,616 ha (3,14%), the not-puddle-prone area is about 551,246 ha (13,44%), the puddle prone area is about 2702,826 ha (65,92%), and the very-puddle prone area is about 717,556 ha (17,50%). The Flood-Prone-Zone Map and the Puddle-Prone-Zone Map can be used as a reference for the Cimahi Government in formulating the policy of regional development.
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