基于水足迹理论的水资源评价——以河北省张家口市宣化区为例

王雅洁; 刘俊国; 赵丹丹

doi:10.13961/j.cnki.stbctb.2018.05.034

您当前的位置：

首页 >

文章列表页 >

基于水足迹理论的水资源评价——以河北省张家口市宣化区为例

试验研究

- 基于水足迹理论的水资源评价——以河北省张家口市宣化区为例
- Assessing Water Resources Based on Theory of Water Footprint—A Case Study in Xuanhua District, Zhangjiakou City, Hebei Province
- 水土保持通报 2018年38卷第5期页码：213-219
- 作者机构：
  
  1. 北京林业大学自然保护区学院,北京,100083
  2. 南方科技大学环境科学与工程学院,广东,深圳,518055
- 作者简介：
- 基金信息：
  
  国家水体污染控制与治理科技重大专项“海河北系永定河—洋河段水污染控制与水质改善技术集成与综合示范课题”（2015ZX07203-005）;国家自然科学基金项目（41571022）;北京市自然科学基金（8151002）
- DOI：10.13961/j.cnki.stbctb.2018.05.034
  中图分类号： TV213.4
- 纸质出版：2018
- 稿件说明：
移动端阅览
王雅洁, 刘俊国, 赵丹丹. 基于水足迹理论的水资源评价——以河北省张家口市宣化区为例[J]. 水土保持通报, 2018,38(5):213-219.

WANG Yajie, LIU Junguo, ZHAO Dandan. Assessing Water Resources Based on Theory of Water Footprint—A Case Study in Xuanhua District, Zhangjiakou City, Hebei Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(5): 213-219.
王雅洁, 刘俊国, 赵丹丹. 基于水足迹理论的水资源评价——以河北省张家口市宣化区为例[J]. 水土保持通报, 2018,38(5):213-219. DOI： 10.13961/j.cnki.stbctb.2018.05.034.

WANG Yajie, LIU Junguo, ZHAO Dandan. Assessing Water Resources Based on Theory of Water Footprint—A Case Study in Xuanhua District, Zhangjiakou City, Hebei Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(5): 213-219. DOI： 10.13961/j.cnki.stbctb.2018.05.034.

摘要

[目的

]

河北省张家口市是2022年北京冬季奥运会雪上项目的举办地，其中宣化区是当地重要工业区，对当地用水和水质有举足轻重的影响。对宣化区水资源情况进行分析，旨在保障冬奥会顺利进行。[方法

]

采用水足迹理论对张家口市宣化区2007—2014年的农业、工业和生活用水情况进行分析，并结合水量、水质评价其水资源短缺状状况。[结果

]

①宣化区2007—2014年平均蓝水足迹5.77×10

，且工业占比最大；绿水足迹年平均值为9.90×10

，全部来源于农业。②以COD为主要污染物排放指标核算该地区灰水足迹，年平均灰水足迹为4.22×10

。③根据年平均水量型缺水指标（I

blue

为3.55）和年平均水质型缺水指标（I

grey

为0.51）可知，宣化区属于严重水量型缺水地区，且水质型缺水情况日益明显。[结论

]

从宣化区用水现状来看，当地亟需优化产业结构，提高非常规水源利用率，改善区域水资源治理模式。

Abstract

[Objective] Zhangjiakou City of Hebei Province is the host city of snow events for the 2022 Beijing Winter Olympic Games. Xuanhua District in Zhangjiakou City is an important industrial area that has a decisive influence on local water use and water quality. The analysis of water resources in Xuanhua District

is crucial for the smooth progress of the Winter Olympic Games.[Methods] This study analyzed water use of agricultural

industrial and daily life in Xuanhua District from 2007 to 2014 by using water footprint theory.[Results] ① The average blue water footprint was 57.650 million m3

and industrial sector was the largest consumer. The average green water footprint was 9.900 million m3

and it all came from agricultural sector. ② The average grey water footprint was 42.235 million m3 based on the COD indicator. ③ According to the average water quantity scarcity index (Iblue is 3.55) and the average water quality scarcity index (Igrey is 0.51)

Xuanhua District was a serious water shortage area

and the water quality scarcity was getting worse.[Conclusion] According to the condition of water resources in Xuanhua District

it is urgent to optimize the industrial structure

improve the utilization rate of unconventional water resource and improve local water management strategies.

关键词

Keywords

references

Padowski J C, Lorenzo C, Jawitz J W. Overcoming urban water insecurity with infrastructure and institutions[J]. Water Resources Management, 2016,30(13):4913-4926.

Jenerette G D, Larsen L. A global perspective onchanging sustainable urban water supplies[J]. Global and Planetary Change, 2006,50(3/4):202-211.

Biewald A, Rolinski S, Lotze-campen H, et al. Valuing the impact of trade on local blue water[J]. Ecological Economics, 2014,101:43-53.

Berrittella M, Hoekstra A Y, Rehdanz K, et al. The economic impact of restricted water supply:A computable general equilibrium analysis[J]. Water Research, 2007,41(8):1799-1813.

Vörösmarty C J, Green P, Salisbury J, et al. Global water resources:vulnerability from climate change and population growth[J]. Science, 2000,289(5477):284-288.

Oki T, Kanae S. Global hydrological cycles and world water resources[J]. Science, 2006,313(5790):1068-1072.

Vörösmarty C J, Mclntyre P B, Gessner M O, et al. Global threats to human water security and river biodiversity[J]. Nature, 2010,467:555-561.

Hoekstra A. Y. Virtual water trade:Proceedings of the international expert meeting on virtual water trade[C]//Value of Water Research Report Series No.12. The United Nations Educational, Scientific and Cultural Organization-International Institute for Hydraulic and Environmental Engineering(UNESCO-IHE):Delft, the Netherlands, 2003.

Hoekstra A Y, Chapagain A K. Globalization of Water:Sharing the Plante'S Freshwater Resources[M]. Oxford:Blackwell Publishing, 2008.

Hoekstra A Y, Mekonnen M M. The water footprint of humanity[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012,109(9):3232-3237.

Sun Caizhi, Liu Yuyu, Chen Lixin, et al. The spatial-temporal disparities of water footprints intensity based on Gini coefficient and Theil index in China[J]. Acta Ecologica Sinica, 2010,30(5):1312-1321.

钟文婷,张军,蔡立群,等.疏勒河流域2001-2010年水足迹动态特征及评价[J].草原与草坪,2015,35(6):27-34.

王博.基于水足迹理论的吉林省辽河流域城市化进程中水资源可持续利用评价与优化配置研究[D].长春:吉林大学,2015.

刘楚烨,赵言文,马群宇,等.基于水足迹理论的江苏省水资源可持续利用评价[J].水土保持通报,2017,37(6):313-320.

Hoekstra A Y, Chapagain A K, Aldaya M M, et al. The Water Footprint Assessment Manual:Setting the Global Standard[M]. London, U K:Earthscan, 2011.

Hill M S. Understanding Enviromental Pollution[M]. Cambridge, UK:Cambridge University Press, 1997.

杨淑静,张爱平,杨世绮,等.农业非点源污染现状分析及国内外研究进展[J].中国农业气象,2009,30(S1):82-85.

曾昭.基于水足迹的水资源短缺评价[D].北京:北京林业大学,2014.

Hoekstra A Y, Mekonnen M M, Chapagain A K, et al. Global monthly water scarcity:blue water footprints versus blue water availability[J]. Plos One, 2012,7(2):1-9.

胡彬,刘俊国,赵丹丹,等.基于水足迹理念的水资源短缺评价:以2022年冬奥会雪上项目举办地为例[J].灌溉排水学报,2017,36(7):108-116.

张楠,李春晖,杨志峰,等.基于灰水足迹理论的河北省水资源评价[J].北京师范大学学报:自然科学版,2017,53(1):75-79.

浏览量

1162

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

张家口市土地利用结构特征及其动态变化

生态脆弱区土地生态安全动态评价——以河北省张家口市为例

基于改进三维生态足迹模型的张家口市生态可持续性评价

1996-2017年张家口市区景观格局与地表热环境的时空变化

冻融循环条件下伊犁地区滑坡黄土湿陷特性及微观机理