干旱区研究

干旱区研究 >

2023 , Vol. 40 >Issue 3: 469 - 480

DOI: https://doi.org/10.13866/j.azr.2023.03.13

生态与环境

陕西省水生态足迹深度与广度时空格局及影响因素

  • 马晓蕾 ,
  • 乔雅琦 ,
  • 王婕 ,
  • 焦士兴 ,
  • 张曼
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  • 1.淮阴师范学院城市与环境学院，江苏 淮安 223300
    2.淮阴师范学院，江苏高校哲学社会科学重点研究基地-淮河生态经济带研究院，江苏 淮安 223300
    3.安阳师范学院资源环境与旅游学院，河南 安阳 455000
马晓蕾（1989-），女，讲师，博士，研究方向为经济地理与区域可持续发展. E-mail: maxiaolei0111@163.com

收稿日期: 2022-03-30

  修回日期: 2022-06-06

  网络出版日期: 2023-03-31

基金资助

河南省重点研发与推广专项软科学研究(222400410283)

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The spatiotemporal patterns of water ecological footprints, depth, size, and influencing factors in Shaanxi Province

  • Xiaolei MA ,
  • Yaqi QIAO ,
  • Jie WANG ,
  • Shixing JIAO ,
  • Man ZHANG
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  • 1. School of Urban and Environment Sciences, Huaiyin Normal University, Huai’an 223300, Jiangsu, China
    2. Key Research Base of Philosophy & Social Sciences of Colleges and Universities in Jiangsu, Huaihe River Eco-economic Belt Research Institute, Huaiyin Normal University, Huai’an 223300, Jiangsu, China
    3. School of Resources Environment and Tourism, Anyang Normal University, Anyang 455000, Henan, China

Received date: 2022-03-30

  Revised date: 2022-06-06

  Online published: 2023-03-31

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摘要

运用水生态足迹及其深度与广度评价方法，对2000—2019年陕西省水生态足迹、承载力、深度与广度时空格局进行研究。从经济、人口、环境、农业和水利5个方面，构建水生态足迹影响因素指标体系，采用CFEM模型对水生态足迹成因进行分析。结果表明：（1） 陕西省水生态足迹总体呈波动上升趋势，多年均值为1403×104 hm2，其中，农业水生态足迹占比最高，多年平均占比为66.65%，工业和居民生活水生态足迹占比分别为15.84%和13.39%；（2） 陕西省水生态承载力年际分配不均衡，在603.5×104 hm2~3741×104 hm2间波动，多年均值为1632.9×104 hm2，高于水生态足迹，处于水生态盈余状态；（3） 近10 a，陕西省主要以消耗水资源流量资本为主，水生态足迹广度处于较高水平，但2001年和2016年，水资源存量资本消耗量大；（4） 陕西省水生态承载力与水生态足迹区域差异大，但年际变化相对较小；（5） 经济发展水平、人口和水库库容，对陕西省水生态足迹具有显著的正向影响。为加强陕西省水生态承载力，应进一步完善和巩固水利工程设施建设，增加水库库容，完善水资源管理制度，强化水资源刚性约束。

关键词： 水生态足迹与承载力; 水生态足迹深度; 水生态足迹广度; 个体固定效应模型（CFEM）; 影响因素

本文引用格式

马晓蕾 , 乔雅琦 , 王婕 , 焦士兴 , 张曼 . 陕西省水生态足迹深度与广度时空格局及影响因素[J]. 干旱区研究, 2023 , 40(3) : 469 -480 . DOI: 10.13866/j.azr.2023.03.13

Abstract

This study measured the spatiotemporal evolution of water ecological footprint, size, and depth in the Shaanxi Province from 2000 to 2019. In addition, the “cross-section fixed effects model” was used to build an indicator system based on the factors influencing water ecological footprint, including economy, population, environment, agriculture, and water conservancy. The results show that: (1) An upward flactuating trend occurred in the water ecological footprint of Shaanxi Province, with a multi-year average of 14.03 million hm2, and agricultural water accounted for the hight average proportion of ecological footprint with 66.65%, while industrial and domestic water accounted for 15.84% and 13.39%, respectively; (2) The interannual distribution of water ecological carrying capacity showed an unbalanced and fluctuating trends with specific values between 6.035 and 37.41 million hm2. The annual average of water ecological carrying capacity in Shaanxi was 16.329 million hm2, which was higher than the water ecological footprint, and showed a surplus water ecological state; (3) In the past ten years, Shaanxi Province mainly consumed the flow capital of water resources, and the size of the water ecological footprint was at high level. However, a large stock capital consumption of water resources occurred in 2001 and 2016; (4) A large difference in the regional water ecological carrying capacity and water ecological footprint was observed in Shaanxi Province, but with a relatively small inter annual change; (5) The economic development level, population, and reservoir storage capacity showed a significant positive impact on the water ecological footprint of Shaanxi Province. To strengthen the ecological carrying capacity of water resources, Shaanxi Province should further improve and consolidate the construction of water conservancy facilities, increase the reservoir capacity, improve the water resources management system, and strengthen the rigid constraints on water resources.

Key words： water ecological footprint and carrying capacity; water ecological footprint depth; water ecological footprint size; cross-section fixed effects model (CFEM); influencing factors

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