基于农业水足迹的水资源安全时空变化分析——以新疆和田地区为例

doi:10.13866/j.azr.2022.02.11

干旱区研究 ›› 2022, Vol. 39 ›› Issue (2): 436-447.doi: 10.13866/j.azr.2022.02.11

基于农业水足迹的水资源安全时空变化分析——以新疆和田地区为例

张丽丽^1,²(),邓晓雅²,龙爱华^1,²(),高海峰³,任才^1,²,李志赟^1,²

1.石河子大学水利建筑工程学院,新疆石河子 832000
2.中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038
3.生态环境部卫星环境应用中心,北京 100094

收稿日期:2021-08-07 修回日期:2021-10-24 出版日期:2022-03-15 发布日期:2022-03-30
通讯作者: 龙爱华
作者简介:张丽丽（1998-）,女,硕士研究生,主要从事水资源安全评价方面的研究. E-mail: 2573745042@qq.com
基金资助:
国家自然科学基金(52179028);国家自然科学基金(51609260);中国工程院咨询项目(2020-XZ-15);中国工程院咨询项目(2020-XY-41)

Spatial-temporal assessment of water resource security based on the agricultural water footprint: A case in the Hotan Prefecture of Xinjiang

ZHANG Lili^1,²(),DENG Xiaoya²,LONG Aihua^1,²(),GAO Haifeng³,REN Cai^1,²,LI Zhiyun^1,²

1. College of Water & Architectural Engineering, Shihezi University, Shihezi 832000, Xinjiang, China
2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resource and Hydropower Research, Beijing 100038, China
3. Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing 100094, China

Received:2021-08-07 Revised:2021-10-24 Online:2022-03-15 Published:2022-03-30
Contact: Aihua LONG

摘要/Abstract

摘要：

和田地区是典型的内陆干旱区,研究区域水资源安全对指导水资源开发利用,促进社会经济与水资源可持续发展具有重要意义。本文基于水足迹理论,研究和田地区1989—2018年农作物生产和动物产品生产的农业生产水足迹的组成及时空变化,通过水足迹强度和水资源压力指标从水资源消耗和污染两个角度分析和评价水资源安全状态的时空变化。结果表明：和田地区农业生产水足迹经历了快速增长、缓慢增长和明显下降3个阶段,以农作物生产水足迹与动物产品生产水足迹约8:2的比例组成。各阶段变化以农作物生产蓝水足迹的增减为主导,在空间上呈西高东低分布;水足迹强度呈对数的趋势减小,至2018年缩小为原来的1/19。和田地区水资源压力值均在1以下变化,水资源多年来均处于安全状态,近10 a的水资源压力程度较高。多年来,和田地区农业生产水足迹随时间变化波动增长,水资源利用效率显著提升,而水资源压力也同步增加,不断威胁着区域的水资源安全。

关键词: 农作物生产水足迹, 动物产品生产水足迹, 灰水足迹, 水资源安全, 和田地区

Abstract:

The Hotan Prefecture is a typical inland arid area. Regional water resource security assessment is of great significance for guiding the development and utilization of water resources and promoting the sustainable development of social economy and water resources. Based on the water footprint theory, this paper studied the composition and spatial-temporal changes of the water footprint of agricultural production in the Hotan Prefecture from 1989 to 2018, then analyzed and evaluated the temporal and spatial pattern changes of water resource security status through water footprint intensity and water resource pressure indicators. The water footprint for agricultural production in Hotan has experienced three stages: rapid growth, slow growth, and obvious decline. It is composed of an approximately 8:2 ratio in terms of the water footprint of crop production and that of animal products. Changes in each stage were dominated by the increase and decrease in the blue water footprint of crop production, which were spatially high in the west and low in the east. The intensity of the water footprint decreased according to a logarithmic trend; by 2018, it had shrunk to 1/19 of the original size. The pressure value for water resources in the Hotan Prefecture has not reached 1 for many years; the water resource have remained in a safe state, and the pressure on water resource has been relatively high in the past 10 years. Overall, the water footprint of agricultural production in Hotan has fluctuated and increased over time, the efficiency of water use has increased significantly, and the pressure on water resources has also increased simultaneously, constantly threatening the security of regional water resource.

Key words: water footprint of crop production, animal product production water footprint, grey water footprint, water resource security, Hotan Prefecture

张丽丽,邓晓雅,龙爱华,高海峰,任才,李志赟. 基于农业水足迹的水资源安全时空变化分析——以新疆和田地区为例[J]. 干旱区研究, 2022, 39(2): 436-447.

ZHANG Lili,DENG Xiaoya,LONG Aihua,GAO Haifeng,REN Cai,LI Zhiyun. Spatial-temporal assessment of water resource security based on the agricultural water footprint: A case in the Hotan Prefecture of Xinjiang[J]. Arid Zone Research, 2022, 39(2): 436-447.

图/表 10

图1

表1

表2

图2

图3

图4

表3

图5

图6

图7

参考文献 33

[1]	李丽, 刘诗奇, 王平, 等. 基于负载指数的中蒙俄经济走廊水资源开发潜力评价[J]. 干旱区研究, 2021, 38(4):910-918.
	[ Li Li, Liu Shiqi, Wang Ping, et al. Evaluation of water resource exploration potential of the China-Mongolia-Russia Economic Corridor based on carrying capacity[J]. Arid Zone Research, 2021, 38(4):910-918. ]
[2]	Sithirith Mak. Downstream state and water security in the Mekong Region: A case of cambodia between too much and Too little water[J]. Water, 2021, 13(6):802-814. doi: 10.3390/w13060802
[3]	吐尔逊·买买提明. 和田地区水资源利用存在的主要问题及对策[J]. 水文, 2015, 35(3):92-95.
	[ Tursunmo Maimaitiming. How to utilize water resources in Hotan Region[J]. Journal of China Hydrology, 2015, 35(3):92-95. ]
[4]	胡栩, 聂勇, 徐霞, 等. 塔里木盆地南缘和田地区土地利用变化的遥感研究[J]. 地理科学进展, 2020, 39(4):577-590. doi: 10.18306/dlkxjz.2020.04.005
	[ Hu Xu, Nie Yong, Xu Xia, et al. Monitoring land-use change in Hetian Tarim Basin, China using satellite remote sensing observation between 1990 and 2016[J]. Progress in Geography, 2020, 39(4):577-590. ] doi: 10.18306/dlkxjz.2020.04.005
[5]	D’Ambrosio E, Ricci F G, Gentile F, et al. Using water footprint concepts for water security assessment of a basin under anthropogenic pressures[J]. Science of the Total Environment, 2020, 748:141356. doi: 10.1016/j.scitotenv.2020.141356
[6]	贾绍凤, 张军岩, 张士锋. 区域水资源压力指数与水资源安全评价指标体系[J]. 地理科学进展, 2002, 21(6):538-545.
	[ Jia Shaofeng, Zhang Junyan, Zhang Shifeng. Regional water resources stress and water resources security appraisement indicators[J]. Progress in Geography, 2002, 21(6):538-545. ]
[7]	Liu J L, Chen J, Yuan Z, et al. Water resource security evaluation of the Yangtze River Economic Belt[J]. Water Supply, 2020, 20(4):1-13. doi: 10.2166/ws.2019.137
[8]	龚巧灵, 官冬杰. 基于BP神经网络的三峡库区重庆段水资源安全评价[J]. 水土保持研究, 2017, 24(6):292-299.
	[ Gong Qiaoling, Guan Dongjie. Study on water resources security evaluation of Chongqing section of three gorges reservoir based on BP neural network[J]. Research of Soil and Water Conservation, 2017, 24(6):292-299. ]
[9]	刘丽颖. 气候变化下贵州省水资源安全空间评价及敏感性分析[J]. 中国岩溶, 2020, 39(5):714-723.
	[ Liu Liying, Spatial evaluation and sensitivity analysis of water resource security in Guizhou Province under climate change[J]. Carsologica Sinica, 2020, 39(5):714-723. ]
[10]	张城, 李晶, 周自翔. 基于水供给服务空间流动模型的渭河流域水资源安全格局[J]. 地理科学, 2021, 41(2):350-359. doi: 10.13249/j.cnki.sgs.2021.02.018
	[ Zhang Cheng, Li Jing, Zhou Zixiang. Water resources security pattern of the Weihe River Basin based on spatial flow model of water supply service[J]. Scientia Geographica Sinica, 2021, 41(2):350-359. ] doi: 10.13249/j.cnki.sgs.2021.02.018
[11]	Hoekstra Y A. Water footprint assessment: Evolvement of a new research field[J]. Water Resources Management, 2017, 31(10):3061-3081. doi: 10.1007/s11269-017-1618-5
[12]	Falkenmark M. Freshwater as shared between society and ecosystems: From divided approaches to integrated challenges[J]. Philosophical Transactions of the Royal Society B-Biological Sciences, 2003, 358(1440):2037-2046. pmid: 14728797
[13]	Veettil V A, Mishra K A. Water security assessment using blue and green water footprint concepts[J]. Journal of Hydrology, 2016, 542(32):589-602. doi: 10.1016/j.jhydrol.2016.09.032
[14]	Feng H Y, Sun F Y, Liu Y Y, et al. Mapping multiple water pollutants across China using the grey water footprint[J]. Science of the Total Environment, 2021, 785:147255. doi: 10.1016/j.scitotenv.2021.147255
[15]	王雅晴, 冼超凡, 欧阳志云. 基于灰水足迹的中国城市水资源可持续利用综合评价[J]. 生态学报, 2021, 41(8):2983-2995.
	[ Wang Yaqing, Xian Chaofan, Ouyang Zhiyun. Integrated assessment of sustainability in urban water resources utilization in China based on grey water footprint[J]. Acta Ecologica Sinica, 2021, 41(8):2983-2995. ]
[16]	郝帅, 孙才志, 宋强敏. 中国能源-粮食生产对水资源竞争的关系——基于水足迹的视角[J]. 地理研究, 2021, 40(6):1565-1581. doi: 10.11821/dlyj020200525
	[ Hao Shuai, Sun Caizhi, Song Qiangmin. Study on the competitive relationship between energy and food production for water resources in China: From a perspective of water footprint[J]. Geographical Research, 2021, 40(6):1565-1581. ] doi: 10.11821/dlyj020200525
[17]	Garfin M G, Scott A C, Wilder M, et al. Metrics for assessing adaptive capacity and water security: Common challenges, diverging contexts, emerging consensus[J]. Current Opinion in Environmental Sustainability, 2016, 21(662):86-89. doi: 10.1016/j.cosust.2016.11.007
[18]	金谦, 桂东伟, 高霄鹏, 等. 新疆主要农作物生产水足迹研究[J]. 干旱地区农业研究, 2018, 36(6):243-249.
	[ Jin Qian, Gui Dongwei, Gao Xiaopeng, et al. Water footprints of primary crop production in Xinjiang[J]. Agricultural Research in the Arid Areas, 2018, 36(6):243-249. ]
[19]	常玉婷, 尤斌. 基于水足迹理论的干旱区水资源可持续利用评价[J]. 干旱环境监测, 2019, 33(4):150-154.
	[ Chang Yuting, You Bing. Evaluation of water resources carrying capacity of Xinjiang based on water footprint method[J]. Arid Environmental Monitoring, 2019, 33(4):150-154. ]
[20]	和田年鉴编委会. 和田年鉴[M]. 和田: 新疆人民出版社, 2016.
	[Editorial Board of Hotan Yearbook. Hotan Yearbook[M]. Hotan: Xinjiang People’s Publishing House, 2016. ]
[21]	惠婞, 陈晓楠, 宋健峰. 基于水足迹的作物生产生态效率评价——以陕西省为例[J]. 生态学报, 2021, 41(8):3078-3091.
	[ Hui Xing, Chen Xiaonan, Song Jianfeng. Assessing crop production eco-efficiency based on water footprints: The case of Shaanxi Province[J]. Acta Ecologica Sinica, 2021, 41(8):3078-3091. ]
[22]	洪传春, 刘某承, 张雅静, 等. 时空视角下京津冀农业灰水足迹强度与效率分析[J]. 河北农业大学学报, 2021, 44(2):128-135.
	[ Hong Chuanchun, Liu Moucheng, Zhang Yajing, et al. Analysis on the intensity and efficiency of agricultural grey water footprint in Beijing-Tianjin-Hebei Region under the perspective of spatial-temporal patten[J]. Journal of Hebei Agricultural University, 2021, 44(2):128-135. ]
[23]	Cui S B, Dong H J, Wilson J. Grey water footprint evaluation and driving force analysis of eight economic regions in China[J]. Environmental Science and Pollution Research, 2020, 27(16):20380-20391. doi: 10.1007/s11356-020-08450-8
[24]	曹建廷, 李原园, 张文胜, 等. 农畜产品虚拟水研究的背景、方法及意义[J]. 水科学进展, 2004, 15(6):829-834.
	[ Cao Jianting, Li Yuanyuan, Zhang Wengshen, et al. Research background, methodological issues and significance on virtual water of crop and livestock production[J]. Advances in Water Science, 2004, 15(6):829-834. ]
[25]	赵锐, 李红, 贺华玲, 等. 乐山市动物类产品水足迹测算分析[J]. 生态科学, 2017, 36(2):93-99.
	[ Zhao Rui, Li Hong, He Hualing, et al. Assessment of water footprint of animal products in Leshan City[J]. Ecological Science, 2017, 36(2):93-99. ]
[26]	Chapagain K A, Hoekstra Y A. Virtual Water Flows Between Nations in Relation to Trade in Livestock and Livestock Products[M]. Netherlands: UNESCO-INE, 2003.
[27]	于钋, 尚熳廷, 姚梅, 等. 水足迹与主成分分析法耦合的新疆水资源承载能力评价[J]. 水文, 2021, 41(1):49-54.
	[ Yu Po, Shang Manting, Yao Mei, et al. Water resources carrying capacity evaluation based on water footprint and principal component analysis in Xinjiang[J]. Journal of China Hydrology, 2021, 41(1):49-54. ]
[28]	余册册, 赵先贵, 葛孟尧. 基于水足迹理论的新疆1995—2014年水资源评价[J]. 山东农业科学, 2017, 49(8):94-98.
	[ Yu Cece, Zhao Xiangui, Ge Mengyao. Evaluation of water resources in Xinjiang from 1995 to 2014 based on water footprint theories[J]. Shandong Agricultural Sciences, 2017, 49(8):94-98. ]
[29]	Yu J W, Long A H, Deng X Y, et al. Incorporating the red jujube water footprint and economic water productivity into sustainable integrated management policy[J]. Journal of Environmental Management, 2020, 269:110828. doi: 10.1016/j.jenvman.2020.110828
[30]	张沛, 龙爱华, 海洋, 等. 1988—2015年新疆农业用水时空变化与政策驱动研究——基于农作物水足迹的统计分析[J]. 冰川冻土, 2021, 43(1):242-253.
	[ Zhang Pei, Long Aihua, Hai Yang, et al. Spatiotemporal variations and driving forces of agricultural water consumption in Xinjiang during 1988-2015: Based on statistical analysis of crop water footprint[J]. Journal of Glaciology and Geocryology, 2021, 43(1):242-253. ]
[31]	王丽川, 侯保灯, 周毓彦, 等. 基于水足迹理论的北京市水资源利用评价[J]. 南水北调与水利科技, 2021, 19(4):680-688.
	[ Wang Lichuan, Hou Baodeng, Zhou Yuyan, et al. Evaluation of water resources utilization in Beijing based on water footprint theory[J]. South-to-North Water Transfers and Water Science & Technology, 2021, 19(4):680-688. ]
[32]	王宁, 李兆耀, 田晓飞, 等. 基于ESDA方法的黄河流域水足迹强度及空间关联分析[J]. 环境科学与技术, 2021, 44(2):196-202.
	[ Wang Ning, Li Zhaoyao, Tian Xiaofei, et al. Water footprint intensity and spatial association analysis of the Yellow River Basin: Based on ESDA model[J]. Environmental Science & Technology, 2021, 44(2):196-202. ]
[33]	吴雪梅, 塔西甫拉提·特依拜, 买买提·沙吾提, 等. 基于PSO-PPE模型的和田水资源承载力评价研究[J]. 干旱地区农业研究, 2014, 32(2):228-233.
	[ Wu Xuemei, Tashpolat Tiyip, Mamat Sawut, et al. Evaluation research for the carrying capacity of water resources in Hotan Based on the POS-PPE model[J]. Agricultural Research in the Arid Areas, 2014, 32(2):228-233. ]

指标类型	名称	计算公式
水足迹效率指标	水足迹强度（WFS）/（m³·a^-1）	WF_agr/GDP
	灰水足迹强度（WFS_pol）/（m³·a^-1）	WF_grey/GDP
	水足迹消耗强度（WFS_con）/（m³·a^-1）	WF_con/GDP
水资源压力指标	水资源压力（WFP）	WF_agr/Q
	水污染程度（WFP_pol）	WF_grey/Q
	水消耗程度（WFP_con）	WF_con/Q

等级	取值范围	水资源压力
Ⅰ	≤0.20	极低
	0.20~0.30	很低
	0.30~0.40	较低
Ⅱ	0.40~0.50	中下
	0.50~0.60	中等
	0.60~0.70	中上
Ⅲ	0.70~0.80	较高
	0.80~0.90	很高
	>0.90	极高

年份	WF_agr		WF_cul			WF_ani
年份	WF_con	WF_grey	WF_cul-green	WF_cul-blue	WF_cul-grey	WF_ani-con	WF_ani-grey
1989	97.61	2.39	2.38	95.72	1.90	77.01	22.99
2009	88.68	11.32	0.61	91.70	7.69	71.24	28.76
2015	88.42	11.58	1.20	88.16	10.64	84.10	15.90
2018	93.59	6.41	1.84	92.79	5.37	87.25	12.75

基于农业水足迹的水资源安全时空变化分析——以新疆和田地区为例

Spatial-temporal assessment of water resource security based on the agricultural water footprint: A case in the Hotan Prefecture of Xinjiang

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 33

相关文章 4

Metrics

本文评价

推荐阅读 0

[1]	杜慧娟, 王光耀, 冉光妍, 吕密. 面向SDGs的塔里木河流域农业灰水足迹分析[J]. 干旱区研究, 2023, 40(7): 1184-1193.
[2]	尹明财,朱豪,胡圆昭,李振中,张济世. 甘肃省灰水足迹变化特征及驱动因素[J]. 干旱区研究, 2022, 39(6): 1810-1818.
[3]	时雯雯,周金龙,曾妍妍,孙英. 和田地区地下水中氟的分布特征及形成过程[J]. 干旱区研究, 2022, 39(1): 155-164.
[4]	买买提阿布都拉·依米尔,阿依夏木古丽·买买提,沙依然·外力,陈天宇,布帕提曼·艾拜都拉,阿依夏木·买买提托合提,毛炜峄. 和田地区沙尘暴时间分布及变化特征[J]. 干旱区研究, 2021, 38(5): 1306-1317.