Design Criteria Of Rainfall And Runoff Harvesting: Case Study In Upper Cisadane Watershed

被引:0
|
作者
Heryani, Nani [1 ]
Adi, Setyono Hari [1 ]
Kartiwa, Budi [1 ]
机构
[1] Balai Penelitian Agroklimat Hidrologi, Bogor, Indonesia
来源
RISET GEOLOGI DAN PERTAMBANGAN | 2013年 / 23卷 / 02期
关键词
design criteria; rainfall and runoff harvesting; flood and drought;
D O I
10.14023/risetgeotam2013.v23.76
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Flood and drought are natural phenomenon that can decrease an agriculture production, leading to threaten national food security. Quantitatively a flood is caused by the presence of a gap between distribution and storage of water. Uneven rainfall distribution by spatially and temporally has caused oversupply of water in the rainy season and water shortage in the dry season. The technology of soil and water conservation consists of several methods by through rainfall and run off harvesting using farm reservoir (embung), channel reservoir etc. The research was conducted at Cisadane upper watershed in March until November 2011. The aims of the research were: to characterize biophysics conditions of research area to assess the suitability of rainfall and runoff harvesting technique, and to develop a model for water management using the technique of rainfall and runoff harvesting in order to anticipate flood and drought, and to develop design criteria of a technique of rainfall and runoff harvesting for alleviating the risk of flood and drought. Result of the research showed that there are 41 channel reservoirs could be constructed at Cikereteg sub watershed, Cisadane upper watershed to irrigate 50.4 ha target areas. While at Cisadane upper watershed 159 channel reservoir, could be constructed to diminish 4.5 m(3)/sec of peak discharge.
引用
收藏
页码:141 / 155
页数:15
相关论文
共 50 条
  • [41] Using uncertainty and sensitivity analysis for finding the best rainfall-runoff model in mountainous watersheds (Case study: the Navrood watershed in Iran)
    Arash Adib
    Morteza Lotfirad
    Ali Haghighi
    Journal of Mountain Science, 2019, 16 : 529 - 541
  • [42] Linking landscape patterns to rainfall-runoff-sediment relationships: A case study in an agriculture, forest, and urbanization-dominated mountain watershed
    Wei, Chong
    Dong, Xiaohua
    Ma, Yaoming
    Huang, Xingyun
    Gou, Jianfeng
    Yu, Dan
    Zhao, Wenyi
    Su, Bob
    ECOLOGICAL INDICATORS, 2025, 172
  • [43] A case study for ANN-based rainfall–runoff model considering antecedent soil moisture conditions in Imha Dam watershed, Korea
    Boosik Kang
    Young Hun Ku
    Young Do Kim
    Environmental Earth Sciences, 2015, 74 : 1261 - 1272
  • [44] Comparison of the performance of SWAT, IHACRES and artificial neural networks models in rainfall-runoff simulation (case study: Kan watershed, Iran)
    Ahmadi, Mehdi
    Moeini, Abolfazl
    Ahmadi, Hassan
    Motamedvaziri, Baharak
    Zehtabiyan, Gholam Reza
    PHYSICS AND CHEMISTRY OF THE EARTH, 2019, 111 (65-77) : 65 - 77
  • [45] Investigation of application of storm runoff harvesting system using geographic information systems (GIS): a case study of the Arak watershed, Markazi (Iran)
    Varvani, J.
    Khaleghi, M. R.
    APPLIED WATER SCIENCE, 2018, 8 (06)
  • [46] Effect of the Non-Stationarity of Rainfall Events on the Design of Hydraulic Structures for Runoff Management and Its Applications to a Case Study at Gordo Creek Watershed in Cartagena de Indias, Colombia
    Gonzalez-Alvarez, Alvaro
    Coronado-Hernandez, Oscar E.
    Fuertes-Miquel, Vicente S.
    Ramos, Helena M.
    FLUIDS, 2018, 3 (02):
  • [47] Investigation of application of storm runoff harvesting system using geographic information systems (GIS): a case study of the Arak watershed, Markazi (Iran)
    J. Varvani
    M. R. Khaleghi
    Applied Water Science, 2018, 8
  • [48] Modeling rainfall-runoff estimation and assessing water harvesting zone for irrigation practices in Keleta watershed, Awash river basin, Ethiopia
    Debebe, Demelash
    Seyoum, Teshome
    Tessema, Negash
    Ayele, Gebiaw T.
    GEOCARTO INTERNATIONAL, 2023, 38 (01)
  • [49] Comparative analysis of HEC-HMS and machine learning models for rainfall-runoff prediction in the upper Baro watershed, Ethiopia
    Belina, Yonata
    Kebede, Asfaw
    Masinde, Muthoni
    HYDROLOGY RESEARCH, 2024, 55 (09): : 873 - 889
  • [50] A Long-Term Response-Based Rainfall-Runoff Hydrologic Model: Case Study of The Upper Blue Nile
    Keshta, Eatemad
    Gad, Mohamed A.
    Amin, Doaa
    HYDROLOGY, 2019, 6 (03)