Basin-Scale Irrigation Planning in Areas with Scarce Data

Takao Masumoto, Takeo Yoshida, Ryoji Kudo

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)22-30
Number of pages9
JournalIrrigation and Drainage
Volume65
DOIs
Publication statusPublished - Oct 1 2016
Externally publishedYes

Fingerprint

planning
irrigation
basins
meteorological data
hydrologic data
basin
Cambodia
water flow
water use
climate change
river basin
water
irrigation rates
civil war
water resources
paddies
paddy field
rainwater
engineering
farming systems

Keywords

  • basin-scale irrigation planning
  • climate change
  • DWCM-AgWU model
  • floodwater
  • hydrometeorological data
  • quasi-observed data
  • water supply

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Soil Science

Cite this

Basin-Scale Irrigation Planning in Areas with Scarce Data. / Masumoto, Takao; Yoshida, Takeo; Kudo, Ryoji.

In: Irrigation and Drainage, Vol. 65, 01.10.2016, p. 22-30.

Research output: Contribution to journalArticle

Masumoto, Takao ; Yoshida, Takeo ; Kudo, Ryoji. / Basin-Scale Irrigation Planning in Areas with Scarce Data. In: Irrigation and Drainage. 2016 ; Vol. 65. pp. 22-30.
@article{3674a57b42f24893a7c9d7badea6aaa0,
title = "Basin-Scale Irrigation Planning in Areas with Scarce Data",
abstract = "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.",
keywords = "basin-scale irrigation planning, climate change, DWCM-AgWU model, floodwater, hydrometeorological data, quasi-observed data, water supply",
author = "Takao Masumoto and Takeo Yoshida and Ryoji Kudo",
year = "2016",
month = "10",
day = "1",
doi = "10.1002/ird.2032",
language = "English",
volume = "65",
pages = "22--30",
journal = "Irrigation and Drainage",
issn = "1531-0353",
publisher = "John Wiley and Sons Ltd",

}

TY - JOUR

T1 - Basin-Scale Irrigation Planning in Areas with Scarce Data

AU - Masumoto, Takao

AU - Yoshida, Takeo

AU - Kudo, Ryoji

PY - 2016/10/1

Y1 - 2016/10/1

N2 - 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.

AB - 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.

KW - basin-scale irrigation planning

KW - climate change

KW - DWCM-AgWU model

KW - floodwater

KW - hydrometeorological data

KW - quasi-observed data

KW - water supply

UR - http://www.scopus.com/inward/record.url?scp=84978284907&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978284907&partnerID=8YFLogxK

U2 - 10.1002/ird.2032

DO - 10.1002/ird.2032

M3 - Article

VL - 65

SP - 22

EP - 30

JO - Irrigation and Drainage

JF - Irrigation and Drainage

SN - 1531-0353

ER -