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Application of a loose coupling model for assessing the impact of land-cover changes on groundwater recharge in the Jinan spring area, China

机译:松耦合模型在评估济南春季地区土地覆盖变化对地下水补给的影响中的应用

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摘要

The Jinan spring area is one of the fastest developing and most water-stressed regions of China. Because of rapid urban expansion, groundwater recharge has been greatly influenced by land-use/cover change (LUCC). To gain an improved understanding of how the groundwater recharge affected by LUCC from 1960 to 2015, normal years, including 1985, 2000, and 2015, were selected using the Pearson-III distribution. Land-cover types of the normal years were classified using Thematic Mapper images. A loose coupling of an urban expansion model and a hydrological model was used to quantify the impact of LUCC on groundwater recharge. The results showed that land converted to built-up land was mainly mixed forest and arable land. The proportion of land-use types that remained unchanged was generally less than 50%, except for built-up land. In 2030, the area of built-up land will continue to increase, while the area of arable land and mixed forest will decrease correspondingly. The mean annual groundwater recharge was 88.32, 87.95, 73.31, and 76.17 mm for 1985, 2000, 2015, and 2030, respectively, which accounts for 14.01, 12.90, 12.20, and 11.98%, respectively, of the annual precipitation. In the water balance of the study area, only a small fraction (11.98-14.01%) of precipitation recharges the groundwater, and the remainder is lost by evapotranspiration (81.41-82.05%) and to a lesser extent by surface runoff (4.15-6.83%). The amount of groundwater recharge is mainly controlled by precipitation and potential evapotranspiration. Recharge is negatively correlated with the drought index. The ratio of groundwater recharge to precipitation decreased at a rate of -0.06% from 1985 to 2015. The recharge/precipitation ratio is expected to decrease by a further 0.22% by 2030. The decrease in the ratio is primarily the result of an increase in built-up land areas, and a decrease in mixed forest and arable land areas.
机译:济南温泉区是中国发展最快,用水最紧张的地区之一。由于城市的快速扩张,土地利用/覆盖变化(LUCC)极大地影响了地下水的补给。为了更好地了解1960年至2015年LUCC对地下水补给的影响,使用Pearson-III分布选择了包括1985、2000和2015年在内的正常年份。使用专题地图图像对正常年份的土地覆盖类型进行分类。使用城市扩展模型和水文模型的松散耦合来量化LUCC对地下水补给的影响。结果表明,退耕还林地主要是混交林和耕地。除已建成土地外,土地使用类型保持不变的比例通常不到50%。到2030年,耕地面积将继续增加,而耕地和混交林的面积将相应减少。 1985年,2000年,2015年和2030年的年均地下水补给量分别为88.32、87.95、73.31和76.17毫米,分别占年降水量的14.01%,12.90%,12.20%和11.98%。在研究区域的水平衡中,只有一小部分(11.98-14.01%)的降水为地下水补给,其余部分因蒸散(81.41-82.05%)而损失,较少部分因地表径流(4.15-6.83)损失。 %)。地下水补给量主要受降水量和潜在蒸散量控制。补给与干旱指数负相关。从1985年到2015年,地下水的补给与降水比率以-0.06%的速度下降。到2030年,补给/降水比率预计将进一步下降0.22%。比率的下降主要是由于地下水补给量增加所致。建成区,减少混合森林和耕地的面积。

著录项

  • 来源
    《Environmental Geology》 |2019年第13期|382.1-382.17|共17页
  • 作者单位

    Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Jilin Prov Key Lab Water Resources & Environm, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Inst Water Resources & Environm, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Coll New Energy & Environm, Changchun 130021, Jilin, Peoples R China;

    Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Inst Water Resources & Environm, Changchun 130021, Jilin, Peoples R China;

    Jilin Univ, Inst Water Resources & Environm, Changchun 130021, Jilin, Peoples R China|Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China;

    Shandong Prov Bur Geol & Mineral Resources, Branch Hydrogeol & Engn Geol 801, Jinan 250014, Shandong, Peoples R China;

    Jilin Univ, Key Lab Groundwater Resources & Environm, Minist Educ, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Jilin Prov Key Lab Water Resources & Environm, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Inst Water Resources & Environm, Changchun 130021, Jilin, Peoples R China|Jilin Univ, Coll New Energy & Environm, Changchun 130021, Jilin, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    LUCC; WetSpass model; CA-Markov model; Groundwater recharge; Jinan spring area;

    机译:LUCC;WETSpass模型;CA-Markov模型;地下水充电;济南春天区;

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