中国农业气象 ›› 2026, Vol. 47 ›› Issue (9): 1411-1426.doi: 10.3969/j.issn.1000-6362.2026.09.005

• 农业生态环境栏目 • 上一篇    下一篇

黄河“几”字弯地区农业水贫困与粮食生产脆弱性耦合机制 及驱动因素

王亚捷,戴燕燕   

  1. 1.吕梁学院生物与食品工程系,吕梁 033001;2.太原师范学院地理科学学院/太原师范学院汾河流域地表过程与资源生态安全山西省重点实验室,太原 030619
  • 收稿日期:2026-03-26 出版日期:2026-09-20 发布日期:2026-09-17
  • 作者简介:王亚捷,E-mail:llxywyj@163.com
  • 基金资助:
    山西省社科联重点课题(SSKLZDKT2026267);山西省哲学社会科学规划课题(2023YY224);山西省留学人员科研资助项目(2023-159)

Coupling Mechanism and Driving Factors of Agricultural Water Poverty and Food Production Vulnerability in the Yellow River Ω−shaped Bend

WANG Ya-jie, DAI Yan-yan   

  1. 1.Department of Biological and Food Engineering, Lyuliang University, Lvliang 033001, China; 2. School of Geographical Sciences, Taiyuan Normal University/Key Laboratory of Surface Processes and Resource Ecology in the Fenhe River Basin, Taiyuan Normal University, Taiyuan 030619
  • Received:2026-03-26 Online:2026-09-20 Published:2026-09-17

摘要:

基于2010−2023年黄河“几”字弯20个地级市的年度自然、社会及经济数据,构建农业水贫困与粮食生产脆弱性评价指标体系,运用熵值法、耦合协调度模型及地理探测器,系统分析黄河“几”字弯农业水贫困与粮食生产脆弱性耦合协调度的时空演变特征及驱动因素,以期为黄河流域农业高质量发展提供科学依据。结果表明:(1)2010−2023年黄河“几”字弯地区农业水贫困指数呈显著上升趋势,数值由0.25增至0.32(P<0.05),贫困程度由中等等级降至较低等级;粮食生产脆弱性指数呈显著下降趋势,数值由0.55降至0.41(P<0.05),脆弱程度由较高等级降至中等等级。(2)2010−2023年黄河“几”字弯地区农业水贫困与粮食生产脆弱性耦合协调度年平均为0.59,总体处于中等水平,但空间分异显著,呈“东南高、西北低”的空间格局,东南部水土流失区耦合协调度最高且稳定(0.61),西北部荒漠区耦合协调度居中(0.58),北部河套平原区耦合协调度波动剧烈且内部差异悬殊(0.53~0.61)。(3)农业水贫困与粮食生产脆弱性耦合协调度区域差异本质上是水资源供给与粮食生产需求匹配程度的反映。自然本底条件是协调度的基础,年降水量和单位面积耕地水资源占有量是主导因子;农业技术管理因子(如节水灌溉率、水库库容)可有效弥补自然缺陷,但需与资源禀赋相匹配。综上,黄河“几”字弯水贫困与粮食生产脆弱性高度耦合,单一技术或资源改善的成效较低,需实施多措并举的综合调控以提升区域协调韧性。

关键词: 水贫困, 粮食脆弱性, 耦合协调, 驱动因素, 黄河“几”字弯

Abstract:

This study constructed evaluation index systems for agricultural water poverty and food production vulnerability based on annual natural, social and economic data from 20 prefecture−level cities in the Yellow river Ω−shaped bend from 2010 to 2023. The entropy method, the coupling coordination degree model, and the Geodetector were employed to systematically analyze the spatio−temporal evolution characteristics and driving factors of the coupling coordination degree between agricultural water poverty and food production vulnerability, to provide scientific support for the high−quality development of agriculture in the Yellow river basin. The results showed that, (1) from 2010 to 2023 in the Yellow river Ω−shaped bend, the agricultural water poverty index exhibited a significant upward trend, increasing from 0.25 to 0.32 (P<0.05), indicating a shift from moderate to low poverty levels. The food production vulnerability index showed a significant downward trend, decreasing from 0.55 to 0.41 (P<0.05), indicating a shift from relatively high to moderate vulnerability levels. (2) From 2010 to 2023, the annual average coupling coordination degree between agricultural water poverty and food production vulnerability in the Yellow river Ω−shaped bend was 0.59, indicating a moderate level overall. However, significant spatial heterogeneity was observed, with a pattern characterized by “higher values in the southeast and lower values in the northwest”. The southeastern erosion zone in the Yellow river Ω−shaped bend recorded the highest and most stable coordination degree (0.61); the northwestern desert zone fell in the middle (0.58). The northern Hetao plain zone exhibited pronounced fluctuations with notable internal disparities, ranging from 0.53 to 0.61. (3) The regional differences in the coupling coordination degree between agricultural water poverty and food production vulnerability in the Yellow river Ω−shaped bend, fundamentally reflected the alignment between water resource supply and food production demand. Natural background conditions formed the basis of coordination, with annual precipitation and water availability per unit cultivated land area being the dominant factors. Agricultural technology and management factors, such as water−saving irrigation ratio and reservoir capacity, could effectively compensate for natural deficiencies but required alignment with resource endowments. In summary, the agricultural water poverty and food production vulnerability in the Yellow river Ω−shaped bend were highly coupled, and singular improvements in technology or resources were insufficient. A comprehensive regulation with multiple measures is required to enhance regional coordination resilience.

Key words: Water poverty, Food vulnerability, Coupling coordination, Driving factors, Yellow river Ω?shaped bend