疏勒河流域农业水土资源时空匹配特征分析

doi:10.12118/j.issn.1000-6060.2022.474

Abstract

Abstract:

As important resources for agricultural production, the effective spatial allocation of land and water resources is conducive to the full utilization of resources and sustainable regional development. In this study, we selected the Shule River Basin, northwest China as the research object. On the basis of the water footprint theory to account for the changes in the water footprint of agricultural production in the Shule River Basin, the Gini coefficient and the spatial mismatch model were used to quantitatively assess the dynamic trends of the spatial and temporal matching of agricultural land and water resources in the study area during 2000—2020 and their sensitivity. Our results showed the following: (1) The agricultural water footprint and crop planting area in the Shule River Basin showed a decreasing trend during 2000—2020. The peak of crop production water footprint appeared in 2007 and 2018, and the peak of crop planting area appeared in 2009 and 2018. The annual contribution rate of blue water footprint is 90.9%, which is complementary to green water footprint, indicating that blue water is the main source of agricultural water in the Shule River Basin. (2) The spatial matching degree of agricultural water and soil resources is gradually improved, and it is generally in a better matching state. The spatial mismatch between blue and green water footprint and crop planting area was gradually improved, and the spatial distribution showed the characteristics of high in the middle and low in the periphery. (3) The number of areas with moderate or high sensitivity to crop production footprint was increasing.

Key words: water footprint, land and water matching, sensitivity analysis, Shule River Basin

YANG Jing, ZHOU Dongmei, MA Jing, ZHU Xiaoyan, JIN Yinli, ZHOU Fan, ZHANG Jun. Spatial and temporal matching characteristics of agricultural land and water resources in the Shule River Basin[J].Arid Land Geography, 2023, 46(6): 982-992.

Figures/Tables 8

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

References 33

[1]	Hogeboom R J. The water footprint concept and water's grand environmental challenges[J]. One Earth, 2020, 2(3): 218-222. doi: 10.1016/j.oneear.2020.02.010
[2]	Liu C, Jiang W L, Wu Y F, et al. Estimation of regional farmland irrigation water requirements and water balance in northeast China[J]. Environmental Science and Pollution Research, 2022, 29(47):71840-71856. doi: 10.1007/s11356-022-20834-6
[3]	Lu Q, Liu F J, Li Y J, et al. Study on the relationship between water resources utilization and economic growth in Tarim River Basin from the perspective of water footprint[J]. Water, 2022, 14(10): 1655, doi: 10.3390/W14101655. doi: 10.3390/W14101655
[4]	Mekonnen M, Hoekstra A Y. Sustainability of the blue water footprint of crops[J]. Advances in Water Resources, 2020, 143: 103679, doi: 10.1016/j.advwatres.2020.103679. doi: 10.1016/j.advwatres.2020.103679
[5]	Fu Q, Wang S, Li T, et al. Temporal-spatial distribution characteristics and influencing factors of regional agricultural water requirement indicators[J]. Journal of Irrigation and Drainage Engineering, 2019, 145(9): 04019019, doi: 10.1061/(ASCE)IR.1943-4774.000407. doi: 10.1061/(ASCE)IR.1943-4774.000407
[6]	Hoekstra A Y. 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
[7]	Long A, Yu J, Deng X, 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, doi: 10.3390/W13050696. doi: 10.3390/W13050696
[8]	Xu X, Yang Z Y. Does aquatic products trade waste or save water resources? An analysis of virtual water trade[J]. Water Policy, 2022, 24(2): 305, doi: 10.2166/WP.2022.156. doi: 10.2166/WP.2022.156
[9]	马静, 汪党献, Hoekstra A Y, 等. 虚拟水贸易在我国粮食安全问题中的应用[J]. 水科学进展, 2006, 17(1): 102-107.
	[Ma Jing, Wang Dangxian, Hoekstra A Y, et al. Application of the virtual water trade to China's grain security[J]. Advances in Water Science, 2006, 17(1): 102-107.]
[10]	Chapagain A K, Hoekstra A Y. Virtual water flows between nations in relation to trade in livestock and livestock products[M]. Delft, The Netherlands: UNESCO-IHE, 2003.
[11]	Pacetti T, Castelli G, Schroder B, et al. Water ecosystem services footprint of agricultural production in Central Italy[J]. Science of the Total Environment, 2021, 797: 149095, doi: 10.1016/j.scitotenv.2021.149095. doi: 10.1016/j.scitotenv.2021.149095
[12]	Keys P W, Falkenmark M. Green water and African sustainability[J]. Food Security, 2018, 10(3): 537-548. doi: 10.1007/s12571-018-0790-7
[13]	Liu D, Liu C, Fu Q, et al. Construction and application of a refined index for measuring the regional matching characteristics between water and land resources[J]. Ecological Indicators, 2018, 91: 203-211. doi: 10.1016/j.ecolind.2018.04.011
[14]	Veettil A V, Mishra A K. Water security assessment using blue and green water footprint concepts[J]. Journal of Hydrology, 2016, 542: 589-602. doi: 10.1016/j.jhydrol.2016.09.032
[15]	Khan T, Nouti H, Booij M J, et al. Water footprint, blue water scarcity, and economic water productivity of irrigated crops in Peshawar Basin, Pakistan[J]. Water, 2021, 13(9): 1249, doi: 10.3390/w13091249. doi: 10.3390/w13091249
[16]	马驰, 杨中文, 宋进喜, 等. 1992-2017年中亚五国农作物水足迹变化特征[J]. 中国生态农业学报, 2021, 29(2): 269-279.
	[Ma Chi, Yang Zhongwen, Song Jinxi, et al. Characteristics of crop water footprint changes in five Central Asian countries from 1992 to 2017[J]. Chinese Journal of Eco-agriculture, 2021, 29(2): 269-279.]
[17]	Wisam W Z, Abed S A, Ewaid S H. The agricultural water footprint of Al-Qadisiyah governorate, southern Iraq[J]. IOP Conference Series: Earth and Environmental Science, 2022, 1029(1): 012025, doi: 10.1088/1755-1315/1029/1/012025. doi: 10.1088/1755-1315/1029/1/012025
[18]	Yuan Z, Xu J J, Meng X Y, et al. Impact of climate variability on blue and green water flows in the Erhai Lake Basin of southwest China[J]. Water, 2019, 11(3): 424, doi: 10.3390/w11030424. doi: 10.3390/w11030424
[19]	Xue X, Liao J, Hsing Y, et al. Policies, land use, and water resource management in an arid oasis ecosystem[J]. Environmental Management, 2015, 55(5): 1036-1051. doi: 10.1007/s00267-015-0451-y pmid: 25740224
[20]	Zhang Y, Zhou Q, Wu F. Virtual water flows at the county level in the Heihe River Basin, China[J]. Water, 2017, 9(9): 687, doi:10.3390/w9090687. doi: 10.3390/w9090687
[21]	王毓芳, 赵成章, 曾红霞, 等. 疏勒河中游湿地景观时空演变及其影响因素[J]. 干旱区研究, 2022, 39(1): 282-291.
	[Wang Yufang, Zhao Chengzhang, Zeng Hongxia, et al. Spatial-temporal evolution of wetland landscape patterns and its influencing factors in the middle reaches of the Shule River[J]. Arid Zone Research, 2022, 39(1): 282-291.]
[22]	俄有浩, 霍治国, 马玉平, 等. 中国北方春小麦生育期变化的区域差异性与气候适应性[J]. 生态学报, 2013, 33(19): 6295-6302. doi: 10.5846/stxb
	[E Youhao, Huo Zhiguo, Ma Yuping, et al. The regional diversity of changes in growing duration of spring wheat and its correlation with climatic adaptation in northern China[J]. Acta Ecologica Sinica, 2013, 33(19): 6295-6302.] doi: 10.5846/stxb
[23]	张璇, 孙建船, 杨涛, 等. 甘肃省河西走廊棉花产业现状及可持续发展策略[J]. 中国棉花, 2018, 45(8): 1-3, 8.
	[Zhang Xuan, Sun Jianchuan, Yang Tao, et al. Current situation and sustainable development of cotton industry in Hexi Corridor of Gansu Province[J]. China Cotton, 2018, 45(8): 1-3, 8.]
[24]	Lopez-urrea R, De santa olalla F M, Fabeiro C, et al. An evaluation of two hourly reference evapotranspiration equations for semiarid conditions[J]. Agricultural Water Management, 2006, 86(3): 277-282. doi: 10.1016/j.agwat.2006.05.017
[25]	Gini C. Measurement of inequality of incomes[J]. The Economic Journal, 1921, 31(121): 124-126. doi: 10.2307/2223319
[26]	Gobillon L, Selod H, Zenou Y. The mechanisms of spatial mismatch[J]. Urban studies, 2007, 44(12): 2401-2427. doi: 10.1080/00420980701540937
[27]	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, doi: 10.3390/w1107 1460. doi: 10.3390/w1107 1460
[28]	蔡振华, 沈来新, 刘俊国, 等. 基于投入产出方法的甘肃省水足迹及虚拟水贸易研究[J]. 生态学报, 2012, 32(20): 6481-6488. doi: 10.5846/stxb
	[Cai Zhenhua, Shen Laixin, Liu Junguo, et al. Applying input-output analysis method for calculation of water footprint and virtual water trade in Gansu Province[J]. Acta Ecologica Sinica, 2012, 32(20): 6481-6488.] doi: 10.5846/stxb
[29]	周凡, 周冬梅, 金银丽, 等. 疏勒河流域生态系统服务供需空间匹配特征[J]. 干旱区地理, 2023, 46(3): 471-480.
	[Zhou Fan, Zhou Dongmei, Jin Yinli, et al. Spatial matching characteristics of supply and demand of ecosystem services in the Shule River Basin[J]. Arid Land Geography, 2023, 46(3): 471-480.]
[30]	孙丽蓉, 周冬梅, 岑国璋, 等. 基于地理探测器模型的疏勒河流域景观生态风险评价及驱动因素分析[J]. 干旱区地理, 2021, 44(5): 1384-1395.
	[Sun Lirong, Zhou Dongmei, Cen Guozhang, et al. Landscape ecological risk assessment and driving factors of the Shule River Basin based on the geographic detector model[J]. Arid Land Geography, 2021, 44(5): 1384-1395.]
[31]	阿不都艾尼·阿不力孜, 任强, 王义成, 等. 塔里木河流域绿洲水土资源匹配特征及稳定性分析[J]. 中国水利水电科学研究院学报, 2022, 20(1): 71-78.
	[Abulizi Abuduaini, Ren Qiang, Wang Yicheng, et al. Analysis on the matching characteristics and stability of oasis water and land resources in the Tarim River Basin[J]. Journal of China Water Resources and Hydropower Research, 2022, 20(1): 71-78.]
[32]	张莹, 雷国平, 张弘强, 等. 三江平原典型流域耕地利用水土资源匹配时空演变--以挠力河流域为例[J]. 中国农业资源与区划, 2022, 43(7): 49-59.
	[Zhang Ying, Lei Guoping, Zhang Hongqiang, et al. Spatiotemporal dynamics of land and water resources matching of cultivated land in typical basin of Sanjiang Plain: A case study of Naoli River Basin[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2022, 43(7): 49-59.]
[33]	曾贤刚, 段存儒, 王睿. 中国农产品贸易虚拟水转移及其影响因素研究[J]. 中国环境科学, 2021, 41(2): 983-992.
	[Zeng Xiangang, Duan Cunru, Wang Rui. Virtual water transfer in Chinese agricultural products trade and its determinants[J]. China Environmental Science, 2021, 41(2): 983-992.]

Spatial and temporal matching characteristics of agricultural land and water resources in the Shule River Basin

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 33

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LIN Arong, ZHOU Dongmei, MA Jing, ZHU Xiaoyan, JIANG Jing, ZHANG Jun. Evaluation of wind prevention and sand fixation function in Shule River Basin based on RWEQ model [J]. Arid Land Geography, 2024, 47(1): 58-67.
[2]	LIU Huancai,SHI Shuqi,LI Man,ZHANG Yanfang,HAN Li. Influencing factors of maize traits and yield per unit area in the middle reaches of Shule River Basin [J]. Arid Land Geography, 2023, 46(9): 1453-1466.
[3]	ZHOU Fan,ZHOU Dongmei,JIN Yinli,MA Jing,YANG Jing,ZHU Xiaoyan,ZHANG Jun. Spatial matching characteristics of supply and demand of ecosystem services in the Shule River Basin [J]. Arid Land Geography, 2023, 46(3): 471-480.
[4]	AN Bin,XIAO Weiwei,LIU Yufeng,LIU Quanyu. Temporal and spatial evolution of relative humidity in the Loess Plateau during 1955—2021 [J]. Arid Land Geography, 2023, 46(12): 1939-1950.
[5]	SUN Lirong,ZHOU Dongmei,CEN Guozhang,MA Jing,DANG Rui,NI Fan,ZHANG Jun. Landscape ecological risk assessment and driving factors of the Shule River Basin based on the geographic detector model [J]. Arid Land Geography, 2021, 44(5): 1384-1395.
[6]	ZHANG Meiling,CHEN Quangong,JIANG Wenlan. Simulation and sensitivity analysis of net primary productivity(NPP) of different grassland types [J]. Arid Land Geography, 2021, 44(2): 369-378.
[7]	ZHENG Xu, WEI Le-min, GUO Jian-jun, ZHOU Yan-yan, CHEN Guan-guang, YUE Dong-xia. Driving force analysis of water yield in inland river basins of arid areas based on geo-detectors: A case of the Shule River [J]. Arid Land Geography, 2020, 43(6): 1477-1485.
[8]	LIU Hong-xia, FENG Yi-ming, GUAN Wen-ke. Study of current status of sand industry and carrying capacity of water resources in Xinjiang [J]. Arid Land Geography, 2020, 43(5): 1202-1209.
[9]	NING Ya-zhou, ZHANG Fu-ping, FENG Qi, WEI Yong-fen, LI Ling, LIU Jie-yao, ZENG Pan-ru. Estimation of evapotranspiration in Shule River Basin based on SEBAL model and evaluation on irrigation efficiency [J]. Arid Land Geography, 2020, 43(4): 928-938.
[10]	WANG Jie, LONG Aihua, YANG Guang, DENG Xiaoya, ZHANG Pei, HAI Yang, LI Yang. Spatial relationship between crops water footprint and economic growth in Xinjiang in recent 25 years [J]. Arid Land Geography, 2019, 42(3): 526-533.
[11]	WANG Deng, JIAN Sheng-qi, HU Cai-hong. Impacts of climate change and human activities on runoff in Fenhe River Basin [J]. 干旱区地理, 2018, 41(1): 25-31.
[12]	SUN Dong-yuan, HU Xiang-quan, JIN Yan-zhao, ZHANG Yun-liang, LI Yuan-hong. Prediction and evaluation of ecological water requirement of natural vegetation in the middle reaches oasis of Shulehe River Basin [J]. , 2016, 39(1): 154-161.
[13]	ZHAO Jie, XU Chang-chun, GAO Shen-tong, LI Jia-xiu. Hydrological modeling in the Urumqi River basin based on SWAT [J]. , 2015, 38(4): 666-674.
[14]	HAN Shu，SHI Qing-dong，YU Yang，ZHANG Lv-bing. Calculation and analysis of water footprint in Xinjiang from 1999 to 2009 [J]. , 2013, 36(2): 364-370.
[15]	SHI Lan,XU Lina，FENG Zhen，LI Qi. Distributed simulation and calibration of rainfall runoff in Wanjiazhai Reservoir watershed [J]. , 2012, 35(5): 717-723.