中国地理科学 ›› 2017, Vol. 27 ›› Issue (1): 88-96.doi: 10.1007/s11769-016-0839-5

• 论文 • 上一篇    下一篇

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

PAN Yun1, GONG Huili1, SUN Ying2, WANG Xinjuan2, DING Fei3   

  1. 1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
    2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;
    3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China
  • 收稿日期:2015-04-13 修回日期:2015-07-17 出版日期:2017-02-27 发布日期:2017-01-06
  • 通讯作者: PAN Yun.E-mail:pan@cnu.edu.cn E-mail:pan@cnu.edu.cn
  • 基金资助:

    Under the auspices of Beijing Natural Science Foundation (No. 8152012), National Natural Science Foundation of China (No. 41101033, 41130744, 41171335).

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

PAN Yun1, GONG Huili1, SUN Ying2, WANG Xinjuan2, DING Fei3   

  1. 1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
    2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;
    3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China
  • Received:2015-04-13 Revised:2015-07-17 Online:2017-02-27 Published:2017-01-06
  • Contact: PAN Yun.E-mail:pan@cnu.edu.cn E-mail:pan@cnu.edu.cn
  • Supported by:

    Under the auspices of Beijing Natural Science Foundation (No. 8152012), National Natural Science Foundation of China (No. 41101033, 41130744, 41171335).

摘要:

The precipitation recharge coefficient (PRC), representing the amount of groundwater recharge from precipitation, is an important parameter for groundwater resources evaluation and numerical simulation. It was usually obtained from empirical knowledge and site experiments in the 1980s. However, the environmental settings have been greatly modified from that time due to land use change and groundwater over-pumping, especially in the Beijing plain area (BPA). This paper aims to estimate and analyze PRC of BPA with the distributed hydrological model and GIS for the year 2011 with similar annual precipitation as long-term mean. It is found that the recharge from vertical (precipitation + irrigation) and precipitation is 291.0 mm/yr and 233.7 mm/yr, respectively, which accounts for 38.6% and 36.6% of corresponding input water. The regional mean PRC is 0.366, which is a little different from the traditional map. However, it has a spatial variation ranging from -7.0% to 17.5% for various sub-regions. Since the vadose zone is now much thicker than the evaporation extinction depth, the land cover is regarded as the major dynamic factor that causes the variation of PRC in this area due to the difference of evapotranspiration rates. It is suggested that the negative impact of reforestation on groundwater quantity within BPA should be well investigated, because the PRC beneath forestland is the smallest among all land cover types.

关键词: groundwater recharge, distributed hydrological model, land cover, geographic information systems

Abstract:

The precipitation recharge coefficient (PRC), representing the amount of groundwater recharge from precipitation, is an important parameter for groundwater resources evaluation and numerical simulation. It was usually obtained from empirical knowledge and site experiments in the 1980s. However, the environmental settings have been greatly modified from that time due to land use change and groundwater over-pumping, especially in the Beijing plain area (BPA). This paper aims to estimate and analyze PRC of BPA with the distributed hydrological model and GIS for the year 2011 with similar annual precipitation as long-term mean. It is found that the recharge from vertical (precipitation + irrigation) and precipitation is 291.0 mm/yr and 233.7 mm/yr, respectively, which accounts for 38.6% and 36.6% of corresponding input water. The regional mean PRC is 0.366, which is a little different from the traditional map. However, it has a spatial variation ranging from -7.0% to 17.5% for various sub-regions. Since the vadose zone is now much thicker than the evaporation extinction depth, the land cover is regarded as the major dynamic factor that causes the variation of PRC in this area due to the difference of evapotranspiration rates. It is suggested that the negative impact of reforestation on groundwater quantity within BPA should be well investigated, because the PRC beneath forestland is the smallest among all land cover types.

Key words: groundwater recharge, distributed hydrological model, land cover, geographic information systems