基于气候变化情景分析深圳市水资源组成时空分布趋势研究
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作者单位:

1.中国地质大学武汉环境学院;2.深圳市水务规划设计院股份有限公司

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中图分类号:

P339;

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国家自然科学基金资助项目(U1911205、42172278)


Spatial and temporal distribution and future trend of water resources composition in Shenzhen based on climate change scenario
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Affiliation:

1.School of Environmental Studies,China University of Geosciences;2.Shenzhen Water Planning and Design Institute Co,LTD

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    摘要:

    基于深圳市流域数据构建SWAT模型,探究分析了2009—2022年间深圳市地表水资源变化趋势,并以CMIP6中气候情景为依据,构建气候变化情景数据,驱动模型研究了气候变化对水资源量分布趋势的影响。结果表明:①模型适用性评价良好,区内年均地表水资源量为21.92×108 m3,土壤水补给量受降雨影响较大,土壤对地下水的补给量对地下水均衡影响显著,深层含水层渗漏量占比增长明显,基流量占比降低,地下水储量变化量由负增长到平衡。②土壤水储存量受中高辐射情景影响显著,地表径流量和河道径流量在高辐射强迫情景下增速变缓。

    Abstract:

    Based on Shenzhen basin data, SWAT model was constructed to explore and analyze the change trend of Shenzhen surface water resources from 2009 to 2022. Based on the climate scenario in CMIP6, climate change scenario data was constructed to drive the model to study the impact of climate change on the distribution trend of water resources. The results show that: (1) The applicability of the model is well evaluated. The average annual surface water resource in the region is 21.92×108 m3, the soil water recharge is greatly affected by rainfall, the soil groundwater recharge has a significant impact on groundwater balance, the proportion of deep aquifer leakage increases significantly, the proportion of base discharge decreases, and the change of groundwater reserves increases from negative to equilibrium. (2) Soil water storage is significantly affected by the medium and high radiation scenario, and the growth rate of surface runoff and river runoff slows down under the high radiative forcing scenario.

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历史
  • 收稿日期:2024-07-05
  • 最后修改日期:2024-11-02
  • 录用日期:2024-11-07
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