ESTIMATING WATER AVAILABILITY USING THE SCS-CN METHOD BASED ON LONG TERM HYDROLOGIC SIMULATION AND THE GEOGRAPHIC INFORMATION SYSTEM

被引:4
|
作者
Juniati, Atie Tri [1 ]
Sutjiningsih, Dwita [2 ]
Soeryantono, Herr [2 ]
Kusratmoko, Eko [3 ]
机构
[1] Univ Pancasila, Fac Engn, Civil Engn Study Program, Jakarta 16411, Indonesia
[2] Univ Indonesia, Fac Engn, Dept Civil Engn, Kampus UI Depok, Depok 16424, Indonesia
[3] Univ Indonesia, Fac Math & Nat Sci, Dept Geog, Kampus UI Depok, Depok 16424, Indonesia
关键词
Long term hydrologic simulation; SCS-CN model; Upper Cisadane; Water availability; West [!text type='Java']Java[!/text; CURVE NUMBER METHOD; RESOURCES AVAILABILITY; GIS;
D O I
10.14716/ijtech.v10i5.2716
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Water is one of the main resources for sustainable city development. To ensure the availability of adequate water for human use, water resource managers need to estimate the amounts of water that enter, pass through, and leave individual watersheds. This is a challenge, because the relative magnitudes of the transfers of individual components in the hydrologic cycle can vary greatly. This paper analyses water availability estimation using the modified Soil Conservation Service Curve Number (SCS-CN) model. The model provides a hydrologically sound procedure to better represent capture behaviour. The study focuses on upper catchments located in West Java, Indonesia. Water availability estimation from this catchment area is needed to understand changes in river flow, as it constitutes information for the Indonesian Regional Water Utility Company Tirta Pakuan) in meeting the clean water needs of Bogor city. The existing SCS-CN model determines the Curve Number (CN) variable using Antecedent Moisture Condition (AMC). Daily moisture storage is updated based on varying the curve number and other hydrologic abstractions. A model was used to estimate stream flow components, direct-surface runoff, base flow, and hydrological abstractions. The calibration results indicate good model performance, with R2 and Nash Sutcliffe efficiency values for simulated monthly data of 0.62 and 0.36 respectively. The model was also successfully validated in the upper Cisadane catchment area by the respective R2 and Nash Sutcliffe efficiency values of 0.65 and 0.42. Validation of the model indicates that it reasonably simulates the catchment response and is suitable for use as a tool in estimating water availability. From these estimates, and in accordance with the data used, it can be concluded that the level of water availability can still meet Bogor's water needs from 2004-2009.
引用
收藏
页码:876 / 886
页数:11
相关论文
共 50 条
  • [1] Modifications to SCS-CN method for long-term hydrologic simulation
    Geetha, K.
    Mishra, S. K.
    Eldho, T. I.
    Rastogi, A. K.
    Pandey, R. P.
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2007, 133 (05) : 475 - 486
  • [2] Spatially distributed long-term hydrologic simulation using a continuous SCS CN method-based hybrid hydrologic model
    Cho, Younghyun
    Engel, Bernard A.
    HYDROLOGICAL PROCESSES, 2018, 32 (07) : 904 - 922
  • [3] A calculation method of soil water resources based on SCS-CN model
    Meng, Xiao
    Wu, Xianbing
    Metallurgical and Mining Industry, 2015, 7 (12): : 188 - 193
  • [4] Rainfall-Runoff Modeling Using the SCS-CN Method and Geographic Information Systems in the Huallaga River Basin, Peru
    Leonardo Quispe-Ramos, Pablo
    Ingol-Blanco, Eusebio
    Abel Mejia-Marcacuzco, Jesus
    PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 2940 - 2949
  • [5] Long-term hydrologic simulation using SCS-CN-based improved soil moisture accounting procedure
    Durbude, Dilip G.
    Jain, Manoj K.
    Mishra, Surendra K.
    HYDROLOGICAL PROCESSES, 2011, 25 (04) : 561 - 579
  • [6] Estimating Composite Curve Number Using an Improved SCS-CN Method with Remotely Sensed Variables in Guangzhou, China
    Fan, Fenglei
    Deng, Yingbin
    Hu, Xuefei
    Weng, Qihao
    REMOTE SENSING, 2013, 5 (03): : 1425 - 1438
  • [7] Clarification of issues and long-duration hydrologic simulation SCS-CN-based proxy modelling
    Henok Mekonnen Aragaw
    Surendra Kumar Mishra
    Acta Geophysica, 2022, 70 : 729 - 756
  • [8] Clarification of issues and long-duration hydrologic simulation SCS-CN-based proxy modelling
    Aragaw, Henok Mekonnen
    Mishra, Surendra Kumar
    ACTA GEOPHYSICA, 2022, 70 (02) : 729 - 756
  • [9] Estimation of Surface Water Runoff for a Semi-Arid Area Using RS and GIS-Based SCS-CN Method
    Al-Ghobari, Hussein
    Dewidar, Ahmed
    Alataway, Abed
    WATER, 2020, 12 (07)
  • [10] Identification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques
    Kumar, Tarun
    Jhariya, D. C.
    GEOCARTO INTERNATIONAL, 2017, 32 (12) : 1367 - 1388