Rawa Pening Lake is one of fifteen priority lakes. The problem in Rawa Pening Lake is the rapid sedimentation rate and blooming of water hyacinth which has an impact on the decreasing of storage capacity and water quality. The handling has not shown significant results. Therefore, that it needs to innovate on improvement and maintenance of Rawa Pening Catchment Area that has never done that is in the form of small dam development in Rawa Pening catchment area. The construction of a small dam in the Rawa Pening catchment area can temporarily hold water and prevent the rate of sediment from entering the lake. The purpose of this research is to analyse the influence of small dams in the Rawa Pening catchment area to sedimentation rate in Rawa Pening Lake. Sedimentation is calculated based on soil erosion in the catchment area, using the USLE formula. If There are 40 small-dams in Lake Rawa Pening catchment area, the sedimentation decreased to 78.75%. If there are only 2 small-dams constructed in the Klegung sub-watershed and the Legi sub-watershed, the sedimentation decrease to 67%.
Increased urbanization has an impact on increased impervious surface, consequently the urban drainage system becomes gradually overloaded, with frequent spills and inundate urban areas. Upgrade or re-design the existing drainage system is not an effective solution because it does not address the source of the problem. It is necessary strategies for urbanization reduction of storm-water runoff. These strategies are aimed to reduce storm-water runoff mainly through water infiltration. One of the strategies is to develop permeable pavement. This study is aimed to test the capacity of permeable pavement through the development of full scale physical models in the parking lot. The results show that proposed permeable pavement are able to significantly reduce volume and peak discharge of storm-water runoff, delay the start of runoff and slow the peak discharge. The application of this proposed permeable pavement in the urban area is strongly recommended to reduce drainage load as well as to increase groundwater recharge.
Many studies have shown that land use changes in watersheds such as forests that convert to settlements, industrial and estates, have an impact on flooding. So it is important to know the correlation between the various land use changes to the discharge within a watershed. This study is a preliminary study in an attemptto assess the correlation between land cover index and peak discharge, with case studies in the Beringin River Basin.The peak discharge with return period of 2, 5, 10, 20, 50 and 100 dihitung menggunakan program HEC-HMS yang merupakan model pengalihragaman hujan menjadi aliran, yang dikembangkan oleh Hydrologic Engineering Centre (HEC) dari US Army Corps Of Engineers, dan indek tutupan lahan (land covered index , LCI) didefinisikan sebagai jumlah dari indek guna lahan (LUI). Hasil studi kasus yang dilakukan menunjukkan bahwa didapat hubungan yang kuat antara indek tutupan lahan dengan debit puncak dengan persamaan Q 100 = -22,42LCI2 + 214, 62,33LCI 2 + 181,19,30LCI 2 + 145,61,36LCI 2 + 118,29,42LCI 2 + 91,44LCI 2 + 53,5. Kata kunci: Guna lahan, debit puncak, daerah aliran sungai, indek guna lahan indek, tutupan lahan. PendahuluanSeiring dengan berkembangnya jumlah penduduk dan meningkatnya aktivitas atau kegiatan masyarakat, akan memicu pertumbuhan kota dengan berbagai pembangunan di berbagai sektor, dan pembangunan sarana dan prasarana fisik adalah sektor yang cukup pesat perkembangannya. Pertumbuhan kota tersebut sering diiringi oleh pembukaan lahan untuk pemukiman, pemekaran daerah industri dan peruntukan lahan yang lain yang bermuara kepada perubahan tata guna lahan. Interaksi alam dari vegetasi, tanah dan air (hujan) disertai dengan intervensi manusia melalui usaha
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This study analyzes the difference of Operation & Maintenance (O&M) costs between government's budgeting method and an alternative approach using Analytical Hierarchy Process (AHP). The AHP was used to determine the formula of budget distribution by considering irrigation infrastructure, location of irrigation area. The formulation was calculated based on the observation to samples in West Java, Central Java and East Java, three provinces that have significant agricultural contributions in Indonesia. Irrigation areas characteristics assessed were areas, channels, weirs and hydraulic structures. The result shows that the equation had an exceptional different linier relationship compared with the quadratic relation equation. They were far more reasonable having a linier proportionality between the budget and the amount of infrastructure. The conclusion also integrates with the linier relationship. Thus, while the precise equation are not intended to be universal applicable, the most important finding was how O & M budget was correlated positively to the amount of infrastructure, not only depending on the area of irrigation.
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