Spatio-Temporal Distribution Characteristics and Driving Factors of Main Grain Crop Water Productivity in the Yellow River Basin

被引:5
作者
Zhang, Yan [1 ]
Wang, Feiyu [2 ]
Du, Zhenjie [3 ]
Dou, Ming [4 ]
Liang, Zhijie [1 ]
Gao, Yun [3 ]
Li, Ping [1 ,3 ]
机构
[1] Chinese Acad Agr Sci, Farmland Irrigat Res Inst, Xinxiang 453002, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[3] Minist Agr, Lab Qual & Safety Risk Assessment Agroprod Water E, Xinxiang 453002, Peoples R China
[4] Zhengzhou Univ, Sch Ecol & Environm, Zhengzhou 450001, Peoples R China
来源
PLANTS-BASEL | 2023年 / 12卷 / 03期
基金
中国国家自然科学基金;
关键词
water productivity; discrepancy characteristics; driving factors; contribution rate; Yellow River Basin; WINTER-WHEAT; IRRIGATION DISTRICT; YIELD; RICE; VARIABILITY; TRENDS;
D O I
10.3390/plants12030580
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
To reveal the relationship between agricultural water resource consumption and grain production in the Yellow River Basin, the irrigation water productivity (WPI), crop water productivity (WPC), total inflow water productivity (WPT), and eleven influencing factors were selected. The spatial and temporal distribution characteristics and driving factors of water productivity of the main crops in the Yellow River Basin were analyzed with the spatial autocorrelation analysis, grey correlation analysis, sensitivity analysis, and relative contribution rate. The results showed that the minimum mean values of WPI, WPC, and WPT were 0.22, 0.35, and 0.18 kg/m(3) in Qinghai, respectively, the maximum mean value of WPI was 2.11 kg/m(3) in Henan, and the maximum mean values of WPC and WPT were 0.71 and 0.61 kg/m(3) in Shandong, respectively. The changing trends in WPI and WPT in Qinghai and in WPC in Shandong were insignificant, whereas the WPI, WPC, and WPT in other provinces showed a significant increasing trend. Water productivity displayed a certain spatial clustering feature in the Yellow River Basin in different years, such as a high-high (H-H) aggregation in Henan in 2005, and an H-H aggregation in Shanxi in 2015 for WPI. The water productivity had a significant positive correlation with the consumption of chemical fertilizer with a 100% effective component (CFCEC), effective irrigated area (EIA), plastic film used for agriculture (PFUA), and total power of agricultural machinery (AMTP), while it had a significant negative correlation with the persons engaged in rural areas (PERA). There was a large grey correlation degree between the water productivity and the average annual precipitation (AAP), CFCEC, PFUA, consumption of chemical pesticides (CFC), and AMTP in the Yellow River Basin, but their sensitivity was relatively small. The main driving factors were EIA (8.98%), agricultural water (AW, 15.55%), AMTP (12.64%), CFCEC (12.06%), and CPC (9.77%) for WPI; AMTP (16.46%), CFCEC (13.25%), average annual evaporation (AAE, 12.94%), EIA (10.49%), and PERA (10.19%) for WPC; and EIA (14.26%), AMTP (13.38%), AAP (12.30%), CFCEC (10.49%), and PFUA (9.69%) for WPT in the Yellow River Basin. The results can provide support for improving the utilization efficiency of agricultural water resources, optimizing the allocation of water resources, and implementing high-quality agricultural developments in the Yellow River Basin.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Spatio-Temporal Pattern and Conflict Identification of Production-Living-Ecological Space in the Yellow River Basin
    Xi, Furui
    Wang, Runping
    Shi, Jusong
    Zhang, Jinde
    Yu, Yang
    Wang, Na
    Wang, Zhiyi
    LAND, 2022, 11 (05)
  • [42] Water use characteristics and impact factors in the Yellow River basin, China
    Yan, Ziqi
    Zhou, Zuhao
    Liu, Jiajia
    Wang, Hao
    Li, Dong
    WATER INTERNATIONAL, 2020, 45 (03) : 148 - 168
  • [43] Spatio-temporal evolution characteristics of eco-efficiency in the Yellow River Basin of China based on the super-efficient SBM model
    Chuanhui Wang
    Weifeng Gong
    Mengzhen Zhao
    Yuanlin Zhou
    Yu Zhao
    Environmental Science and Pollution Research, 2023, 30 : 72236 - 72247
  • [44] Spatio-temporal evolution characteristics of eco-efficiency in the Yellow River Basin of China based on the super-efficient SBM model
    Wang, Chuanhui
    Gong, Weifeng
    Zhao, Mengzhen
    Zhou, Yuanlin
    Zhao, Yu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (28) : 72236 - 72247
  • [45] Spatial-Temporal Pattern of Vegetation Net Primary Productivity and Its Natural Driving Factors in Ordos Section of the Yellow River Basin
    Wu, Xiaoguang
    Hao, Weiwei
    Qu, Guohua
    Yang, Lingyun
    ATMOSPHERE, 2025, 16 (01)
  • [46] Spatio-Temporal Characteristics of the Evapotranspiration in the Lower Mekong River Basin during 2008-2017
    Pan, Xin
    Liu, Suyi
    Yang, Yingbao
    You, Chaoshuai
    Yang, Zi
    Xie, Wenying
    Li, Tengteng
    REMOTE SENSING, 2022, 14 (11)
  • [47] Research on Spatio-Temporal Evolution Characteristics and Driving Factors of Tourism Destination Environmental System Resilience in Yangtze River Economic Belt
    Yang, Youbao
    Xie, Ailiang
    Cheng, Kang
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2024, 33 (05): : 5429 - 5441
  • [48] Spatial - temporal evolution and driving factors of carbon emission efficiency of cities in the Yellow River Basin
    Wang, Xinping
    Shen, Yingshuang
    Su, Chang
    ENERGY REPORTS, 2023, 9 : 1065 - 1070
  • [49] Spatial-temporal differentiation and driving factors of ecological resilience in the Yellow River Basin, China
    Huang, Jie
    Zhong, Pengshu
    Zhang, Jize
    Zhang, Long
    ECOLOGICAL INDICATORS, 2023, 154
  • [50] Spatial - temporal evolution and driving factors of carbon emission efficiency of cities in the Yellow River Basin
    Wang, Xinping
    Shen, Yingshuang
    Su, Chang
    ENERGY REPORTS, 2023, 9 : 1065 - 1070