Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (3): 860-867.doi: 10.13278/j.cnki.jjuese.201703206

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Calculation of Precipitation Infiltration Recharge Based on Land-Use Type

Zhang Shiyue1, Shu Longcang1, Min Xing2, Hu Huijie1, Zou Zhike1   

  1. 1. College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;
    2. Nanjing Hydraulic Research Institute, Nanjing 210029, China
  • Received:2016-09-07 Online:2017-05-26 Published:2017-05-26
  • Supported by:
    Supported by National Natural Science Foundation of China (41572210)

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Abstract: Factors that affect the recharge from precipitation infiltration into groundwater are complex, mainly land use types, precipitation, the thickness and lithology of aeration zone and so on. With the development of remote sensing image interpretation technology, people can identify the type of land use more accurately, so as to calculate the precipitation infiltration rate more accurately and know its spatial distribution more precisely. With the consideration of all these influencing factors, this paper presents a precipitation infiltration rate calculation method based on land use type, combining with GIS and VBA. The application of the PIRCL method in Guanghua basin shows that the annual average precipitation infiltration rate of this region is about 143.69 million m3. This result is close to the result calculated by using the water balance method, and the relative error is about 2.4%; Moreover, the calculated spatial distribution of precipitation infiltration rate is basically reasonable. Comparing with the water balance calculation method, the calculation of precipitation infiltration rate by the PIRCL method only needs regional remote sensing data, regional precipitation data, dynamic variation of groundwater level and regional hydrogeological parameters in the calculation time period, and you don't need to calculate the other recharge and discharge items of groundwater. It may save a lot of work and is convenient to be implemented by programming.

Key words: recharge from precipitation infiltration, remote sensing image interpretation, land-use type

CLC Number: 

  • TV121.1
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