Matching pattern of agricultural water and land resources in loess hilly areas from the perspective of water footprint：Taking Heshun County of Shanxi Province as an example

doi:10.14088/j.cnki.issn0439-8114.2024.02.008

Abstract

Abstract: From the perspective of water footprint, the spatial and temporal changes of production water footprint and cultivated land area of main crops in rural areas of Heshun County, Shanxi Province, from 2010 to 2019 were analyzed using CROPWAT and standard deviation ellipse model, the spatial-temporal matching pattern of agricultural water and land resources in rural areas in 2010,2014 and 2019 was studied using Gini coefficient and spatial mismatch index, and the direction of regulation was clarified. The results showed that, during the study period, Heshun County’s crop production water footprint, blue water footprint, green water footprint and cultivated land area all showed a downward trend. Green water footprint contributed the most to the total water footprint of crop production in all regions, and the proportion of green water footprint in crop production water footprint in all counties and townships was more than 62.0%. The spatial aggregation of crop production water footprint and arable land resources was increasing in western Heshun County, while the spatial mismatch between crop production water footprint, blue water footprint, green water footprint and arable land resources was increasing in Heshun County, the agricultural water and soil resources in the central and eastern regions of Heshun County were moderately mismatched and severely mismatched, respectively, which would be the key areas for agricultural water and land resources control in the future. Ten townships in the county could be divided into three control areas： water conservation and storage control areas, water and land optimization regulation control areas, and diversion water-saving irrigation control areas. In general, Heshun County’s agricultural water and land resources were out of balance due to social economy, input of production factors and climatic conditions, but were controlled artificially on the basis of the division of control zones, it could still achieve a greater improvement in the matching and coordination level of agricultural water and land resources.

Key words: water footprint of crop production, agricultural water and land resources matching, Gini coefficient, spatial mismatch index, loess hilly areas, Heshun County, Shanxi Province

CLC Number:

F301.2

YAN Mei-xia, GUO Qing-xia, DING Yi, KANG Qing. Matching pattern of agricultural water and land resources in loess hilly areas from the perspective of water footprint：Taking Heshun County of Shanxi Province as an example[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(2): 41-49.

References 32

[1]	杨宏轶, 赵华甫.耕地结构变化下水土资源匹配时空特征效应分析——以黑龙江省为例[J].自然资源学报, 2022, 37(9): 2247-2263.
[2]	杨贵羽, 汪林, 王浩.基于水土资源状况的中国粮食安全思考[J].农业工程学报, 2010, 26(12): 1-5.
[3]	侯淑涛, 袁伟豪, 陈建龙, 等.黑龙江省农业水土资源匹配格局与区域调控[J].水土保持通报, 2022, 42(1): 150-157,165.
[4]	王佳月, 辛良杰, 戴尔阜.中国典型山区农业水土资源匹配格局变化——以太行山区、横断山区、黔桂喀斯特山区为例[J]. 地理研究, 2020, 39(8): 1879-1891.
[5]	彭立, 邓伟, 谭静, 等.横断山区水土资源利用与经济增长的匹配关系[J].地理学报, 2020, 75(9): 1996-2008.
[6]	王妍, 雷晓辉, 张玉, 等.北京市水土资源匹配时空模式研究[J].中国农学通报, 2021, 37(35): 73-77.
[7]	DU J, YANG Z, WANG H, et al.Spatial-temporal matching characteristics between agricultural water and land resources in Ningxia, Northwest China[J]. Water, 2019, 11(7): 1460.
[8]	刘彦随, 吴传钧.中国水土资源态势与可持续食物安全[J].自然资源学报, 2002, 17(3): 271-275.
[9]	刘春雷. 区域农业水土资源-环境特征及其耦合协调性分析[D]. 哈尔滨: 东北农业大学, 2018.
[10]	习近平. 在黄河流域生态保护和高质量发展座谈会上的讲话[J].奋斗, 2019(11): 5-9.
[11]	吴宇哲, 鲍海君.区域基尼系数及其在区域水土资源匹配分析中的应用[J].水土保持学报, 2003, 17(5): 123-125.
[12]	孙伯明, 吴鑫, 陈菁.小三江平原水土资源匹配时空变化研究[J].灌溉排水学报, 2021, 40(S1): 50-53.
[13]	郭嘉伟. 会宁县水土资源承载力评价及优化配置研究[D].兰州: 甘肃农业大学, 2018.
[14]	杨齐祺, 杨悉廉, 乔传泰斗, 等.基尼系数视野下的安徽省水土资源匹配分析[J].中国农学通报, 2016, 32(20): 72-76.
[15]	SUN S K, WU P T, WANG Y B, et al.The impacts of interannual climate variability and agricultural inputs on water footprint of crop production in an irrigation district of China[J]. Science of the total environment, 2013, 444: 498-507.
[16]	LONG A H, YU J W, DENG X Y, et al.Understanding the spatial-temporal changes of oasis farmland in the Tarim River Basin from the perspective of agricultural water footprint[J]. Water, 2021, 13(5): 696.
[17]	张英. 中亚水土资源匹配及承载力研究[D].西安:西北大学,2021.
[18]	秦娅青. 水足迹视角下河南省农业水土资源匹配研究[D].河南焦作: 河南理工大学, 2019.
[19]	高芸, 齐学斌, 李平, 等.黄河流域农业水土资源时空匹配特征分析[J].灌溉排水学报, 2021, 40(6): 113-118.
[20]	徐娜, 张军, 张仁陟, 等.基于DEA的农业水土资源匹配特征研究——以甘肃省5流域为例[J].中国农业资源与区划, 2020, 41(6): 277-285.
[21]	冯变变, 刘小芳, 赵勇钢, 等.山西省主要粮食作物生产水足迹研究[J].干旱区资源与环境, 2018, 32(3): 133-137.
[22]	夏文雪,张兵,何明霞, 等.水足迹视角下京津冀县域粮食作物水土资源匹配格局[J].中国农业资源与区划,2022,43(9):22-33.
[23]	HOEKSTRA A Y, CHAPAGAIN A K, ALDAYA M M, et al.The water footprint assessment manual: Setting the global standard[J].Sciences, 2005, 14(1): 1259-1276.
[24]	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.
[25]	LIU H M, FANG C L, MIAO Y.Spatio-temporal evolution of population and urbanization in the countries along the Belt and Road 1950—2050[J]. Journal of geographical sciences, 2018, 28(7): 919-936.
[26]	AYANA E K, CECCATO P, FISHER J R B, et al. Examining the relationship between environmental factors and conflict in pastoralist areas of East Africa[J]. Science of the total environment, 2016, 557: 601-611.
[27]	GROVES-KIRKBY C J, DENMAN A R, PHILLIPS P S. Lorenz curve and Gini coefficient: Novel tools for analysing seasonal variation of environmental radon gas[J]. Journal of environmental management, 2009, 90(8): 2480-2487.
[28]	GOBILLON L, SELOD H, ZENOU Y.The mechanisms of spatial mismatch[J]. Urban studies, 2007, 44(12): 2401-2427.
[29]	LI T, LONG H, ZHANG Y, et al.Analysis of the spatial mismatch of grain production and farmland resources in China based on the potential crop rotation system[J]. Land use policy, 2017, 60: 26-36.
[30]	NAGHIBI S A, MOGHADDAM D D, KALANTAR B, et al.A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping[J]. Journal of hydrology, 2017, 548: 471-483.
[31]	杜捷. 农业水土资源利用评价与均衡优化调控研究[D].北京:北京林业大学, 2020.
[32]	郭佳君,李茜.晋东丘陵山地耕地质量与农业产业布局优化分析——以山西省武乡县、和顺县及榆社县为例[J].农业展望,2022, 18(2): 57-64.