論文

2016年10月

BASIN-SCALE IRRIGATION PLANNING IN AREAS WITH SCARCE DATA

IRRIGATION AND DRAINAGE
  • Takao Masumoto
  • ,
  • Takeo Yoshida
  • ,
  • Ryoji Kudo

65
開始ページ
22
終了ページ
30
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1002/ird.2032
出版者・発行元
WILEY-BLACKWELL

This paper presents a basin-scale approach to irrigation planning for use in areas with scarce hydrological and meteorological data. We review the past development of cascade irrigation facilities in Cambodia's Kep Province and present the results of applying a distributed water circulation model that incorporates agricultural water use in Cambodia's Pursat River Basin. Basic hydrological and meteorological data are scarce for these areas, partly as a result of the Cambodian civil war. Although 70% of overall water use is for agriculture, irrigation rates in many areas of monsoonal Asia are low and farming depends mainly on rainwater, even in basins where paddy fields are dominant and water resources are abundant. Moreover, basic hydrological and meteorological data are scarce in these areas. Past irrigation planning proposals in these areas have not specified the required volumes of water or the necessary capacities of irrigation facilities. Our consideration of irrigation projects in the Pursat River Basin, based on meteorological data inputs estimated by using a general circulation and/or climate change model, showed that basin-scale irrigation planning can be applied despite the scarcity of data. Application of the results of long-term climate change modelling by Japan's Meteorological Research Institute and a distributed water circulation model developed by Institute for Rural Engineering, NARO (NIRE), show that it is possible to model and use basic data when observational data are inadequate. (C) 2016 The Authors. Irrigation and Drainage Published by John Wiley & Sons Ltd.

リンク情報
DOI
https://doi.org/10.1002/ird.2032
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000384830600003&DestApp=WOS_CPL
ID情報
  • DOI : 10.1002/ird.2032
  • ISSN : 1531-0353
  • eISSN : 1531-0361
  • Web of Science ID : WOS:000384830600003

エクスポート
BibTeX RIS