Basin-Scale Irrigation Planning in Areas with Scarce Data
Basin-Scale Irrigation Planning in Areas with Scarce Data
复制标题
数据稀缺地区的流域灌溉规划
DOI：
10.1002/ird.2032
复制
发表时间：
2016
影响因子：
1.9
通讯作者：
Ryoji Kudo
中科院分区：
文献类型：
--
作者：
Masumoto;Takao;Takeo Yoshida;Ryoji Kudo
本文介绍了一种流域尺度的方法，用于灌溉规划的水文和气象数据稀缺的地区。我们回顾了过去的发展级联灌溉设施在柬埔寨的白马省，并提出了应用分布式水循环模型，将农业用水在柬埔寨的菩萨河流域的结果。这些地区的基本水文和气象数据很少，部分原因是柬埔寨内战。尽管农业用水占总用水量的70%，但亚洲季风区许多地区的灌溉率很低，农业主要依赖雨水，即使在稻田占主导地位且水资源丰富的流域也是如此。此外，这些地区缺乏基本的水文和气象数据。这些地区过去的灌溉规划建议没有具体说明所需的水量或灌溉设施的必要能力。我们对菩萨河流域灌溉项目的考虑，基于使用大气环流和/或气候变化模型估计的气象数据输入，表明尽管数据稀缺，但可以应用流域规模的灌溉规划。日本气象研究所的长期气候变化模型的结果和NARO农村工程研究所（NIRE）开发的分布式水循环模型的应用表明，在观测数据不足的情况下，可以模拟和使用基本数据。© 2016作者.灌溉和排水由约翰威利父子有限公司出版.
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. © 2016 The Authors.Irrigation and DrainagePublished by John Wiley & Sons Ltd.