KEYWORDS: Agriculture, Data modeling, Meteorology, Geographic information systems, Climatology, Floods, Environmental sensing, Temperature metrology, Data centers, Atmospheric modeling
By using the GIS technologies, we interpolate the site-based meteorological data into climatic surface data, which are the
main input parameters for the CropWat model, used to estimate the reference evapotranspiration (ET0). And then by
combining the ET0 with the information on share of cultivated land decoded from the Landsat TM/ETM digital imagines
covering the entire case study area, the Huang-Huai-Hai plain, we estimate the amount of irrigation water requirements
(IWRs) in the years of 1991 and 2000. We then introduce the potential yield (PY) of cultivated land estimated from the
Estimation Model for the Agricultural Productivity Potential (EMAPP) to explore the relationship between the IWRs and
the PY . By conducting GIS-based spatial overlay analyses, we explore the positive correlation relationship between the
IWRs and the PY of cultivated land. Finally, we conclude that the IWRs is now a constrain factor on the PY of cultivated
land in the Huang-Huai-Hai plain in those areas with the irrigation water constrains. The result has offered a scientific
basis for the decision makings in the exploitation and utilization of resources and energy as well as the land use planning,
protection of the potential yields and the managements of irrigation water at the regional level.
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