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Spatio-temporal Patterns and Influencing Factors of Coupling Coordination in Human-Land-Water Systems of Yellow River Basin
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Xiaotong XIE1, Songhui CHEN1, Yingchao LI1, Weikang HE1, Xiaoshun LI2
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 425 - 435
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 425-435
• Agricultural Informatization Engineering •
Spatio-temporal Patterns and Influencing Factors of Coupling Coordination in Human-Land-Water Systems of Yellow River Basin
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Xiaotong XIE1, Songhui CHEN1, Yingchao LI1, Weikang HE1, Xiaoshun LI2
Affiliations
  • 1.College of Resources and Environment, Henan Agricultural University, Zhengzhou 450046, China
  • 2.School of Public Administration, China University of Mining and Technology, Xuzhou 221116, China
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.039
Outline
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The human-land-water systems within a river basin are interconnected and exhibit mutually reinforcing relationships. Investigating their coupling coordination degree and influencing factors is crucial for achieving regional high-quality development and ecological civilization construction. Taking the nine provinces in the Yellow River Basin as the study area, the entropy method and a comprehensive evaluation method were employed to measure the index levels of the human system, land system, and water system within the Yellow River Basin from 2013 to 2022. Building upon this foundation, the coupling coordination degree model and fixed effects (FE) model were utilized to analyze and evaluate the spatio-temporal differentiation characteristics of the human-land-water systems coupling coordination degree and its influencing factors at both dual (human-land, human-water, land-water) and ternary (human-land-water) levels. The results indicated that from 2013 to 2022, the overall human-land-water systems in the nine provinces showed steady progress, although the development speeds of the subsystems varied, mostly exhibiting a fluctuating upward trend. Significant spatial disparities existed in the coupling coordination degree across the nine provinces during 2013—2022. By 2022, five provinces (Inner Mongolia, Ningxia, Shanxi, Henan, Shandong) reached an intermediate coordination level, while the other four provinces still had considerable room for development. The coupling coordination degrees of the dual systems (human-land, human-water, land-water) in all provinces also generally showed a year-by-year strengthening trend. Technological investment and rural governance investment positively influenced the coupling coordination degree. Industrial structure upgrading, the degree of openness, fixed asset investment, and government regulatory capacity exerted varying degrees of influence on the coupling coordination degree. In conclusion, against the backdrop of advancing the major national strategy for ecological protection and high-quality development in the Yellow River Basin, differentiated pathways for synergistic human-land-water development should be formulated for the upper, middle, and lower reaches. This would facilitate the rational coordination of multi-system development relationships within the basin and promote healthy and sustainable regional development in the future.

Yellow River Basin  /  human-land-water systems  /  coupling coordination degree  /  influence factor  /  spatio-temporal pattern
谢晓彤, 陈松慧, 栗滢超, 和伟康, 李效顺. 黄河流域人-地-水系统耦合协调时空格局与影响因素. 农业机械学报, 2025 , 56 (12) : 425 -435 . DOI: 10.6041/j.issn.1000-1298.2025.12.039
Xiaotong XIE, Songhui CHEN, Yingchao LI, Weikang HE, Xiaoshun LI. Spatio-temporal Patterns and Influencing Factors of Coupling Coordination in Human-Land-Water Systems of Yellow River Basin[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 425 -435 . DOI: 10.6041/j.issn.1000-1298.2025.12.039
Year 2025 volume 56 Issue 12
180
79
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Article Info
doi: 10.6041/j.issn.1000-1298.2025.12.039
  • Receive Date:2025-06-18
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2025-06-18
  • Revised:2025-07-18
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Affiliations
    1.College of Resources and Environment, Henan Agricultural University, Zhengzhou 450046, China
    2.School of Public Administration, China University of Mining and Technology, Xuzhou 221116, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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