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Evolution of Water and Soil Resources Carrying Capacity in Ningxia Based on DPSIR Model
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De-zheng FAN1a, Xue-mei MEI1b, Zheng-yan REN2, Peng LI3
Water Resources and Power | 2023, 41(6) : 35 - 39
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Water Resources and Power | 2023, 41(6): 35-39
• HYDROLOGY, WATER RESOURCES AND ENVIRONMENT •
Evolution of Water and Soil Resources Carrying Capacity in Ningxia Based on DPSIR Model
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De-zheng FAN1a, Xue-mei MEI1b, Zheng-yan REN2, Peng LI3
Affiliations
  • 1a.School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
  • 1b.Geothermal and Ecological Geology Research Center, Zhengzhou University, Zhengzhou 450001, China
  • 2.Ningxia Soil and Water Conservation Monitoring Station, Yinchuan 750002, China
  • 3.State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China
Published: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221240
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The paper aims to comprehensively grasp the carrying capacity of water and soil resources in Ningxia, and promotes the coordinated development of water and soil resources in arid and semi-arid areas. An evaluation index system was constructed based on DPSIR model. The CRITIC-entropy weight-TOPSIS was applied to evaluate the carrying capacity of water and soil resources in Ningxia from 2012 to 2019. The obstacle degree model and R/S method were used to explore the influencing factors and predict the future trend. The results showed that from 2012 to 2019, the carrying capacity of water and soil resources in the whole Ningxia region shows an upward trend, but the overall situation is basically overloaded. The carrying capacity in Guyuan City is greatest in the Ningxia region. Based on the obstacle analysis, the driving force subsystem has the strongest restriction on the carrying capacity of water and soil resources in Ningxia. Economic density, natural population growth rate, per capita GDP, grain output per unit of arable land and per capita water resources are the main factors affecting the water and soil resources carrying capacity in Ningxia. According to the R/S method, in the future, the water and soil resources carrying capacity in Ningxia will show an upward trend. Guyuan and Zhongwei have a significant upward trend, while other cities have a weak upward trend.

water and soil resources carrying capacity  /  DPSIR model  /  CRITIC-entropy weight  /  TOPSIS model  /  obstacle degree
De-zheng FAN, Xue-mei MEI, Zheng-yan REN, Peng LI. Evolution of Water and Soil Resources Carrying Capacity in Ningxia Based on DPSIR Model[J]. Water Resources and Power, 2023 , 41 (6) : 35 -39 . DOI: 10.20040/j.cnki.1000-7709.2023.20221240
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Year 2023 volume 41 Issue 6
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221240
  • Receive Date：2022-06-14
  • Online Date：2026-01-28
  • Published：2023-06-25
Article Data
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History
  • Received：2022-06-14
  • Revised：2022-08-16
Funding
Affiliations
    1a.School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, China
    1b.Geothermal and Ecological Geology Research Center, Zhengzhou University, Zhengzhou 450001, China
    2.Ningxia Soil and Water Conservation Monitoring Station, Yinchuan 750002, China
    3.State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an 710048, China
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https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20221240
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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
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Genus		 种数
Number of
species		 占总种数比例
Percentage of total
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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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