scholarly journals Assessment of the Happy River Index as an Integrated Index of River Health and Human Well-Being: A Case Study of the Yellow River, China

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3064
Author(s):  
Qiting Zuo ◽  
Minghui Hao ◽  
Zhizhuo Zhang ◽  
Long Jiang
Keyword(s):  
Yellow River ◽  
Spatial Scales ◽  
Regional Scale ◽  
Well Being ◽  
Limiting Factors ◽  
The Yellow River ◽  
Assessment Framework ◽  
Entropy Weight ◽  
River Health ◽  
Analytic Hierarchy

Acceleration urbanization and industrialization has resulted in challenges such as river ecosystem degradation and water scarcity that have hindered sustainable development in China. Healthy rivers provide ecosystem services that improve human well-being. The Happy River Index (HRI) integrates trends in river health and human well-being. This study aimed to establish an HRI assessment framework. The assessment framework was applied to the Yellow River, China at three spatial scales in which the analytic hierarchy process (AHP)-entropy weight and single index quantification-multiple indices syntheses-poly-criteria integration (SMI-P) methods were utilized. Limiting factors were diagnosed by the obstacle degree model and approaches to improve the HRI in regions along the Yellow River are suggested. The results showed that: (1) the overall HRI of the Yellow River was relatively low, with some differences among different regions; (2) the HRI for the upper, middle, and lower reaches of the Yellow River showed a decreasing trend from 0.77 to 0.65; (3) Sichuan had the highest HRI at the regional scale, followed by Gansu and Qinghai, whereas Inner Mongolia had the lowest; (4) scarcity of water resources and the fragility of the ecological environment were the two dominant factors restricting the improvement of the HRI in regions along the Yellow River. The results of this study can provide a valuable reference for protection of river health and improvement of human well-being in China.

scholarly journals Spatiotemporal Patterns of Ecosystem Service Value Changes and Their Coordination with Economic Development: A Case Study of the Yellow River Basin, China

2020 ◽  
Vol 17 (22) ◽  
pp. 8474
Author(s):  
Aijun Guo ◽  
Yongnian Zhang ◽  
Fanglei Zhong ◽  
Daiwei Jiang
Keyword(s):  
River Basin ◽  
Ecosystem Service ◽  
Yellow River ◽  
Spatial Scales ◽  
Remote Sensing Data ◽  
Kendall Test ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin ◽  
The Stability

By integrating multiple remote sensing data sources this study accurately assesses the spatiotemporal characteristics of changes in ecosystem service values (ESVs) in the Yellow River Basin from 2000 to 2015 through Theil-Sen median trend analysis and the Mann-Kendall test. The stability and continuity of the ESVs were comprehensively characterized using coefficients of variation and the Hurst exponent. The degree of coherence between ESVs and economic growth (represented by gross domestic product GDP) on the same temporal and spatial scales was analyzed using ecological-economic coordination (EEC) models. The results show that (1) from 2001 to 2015 the total ESV and the ESV per unit area in the Yellow River Basin generally showed a U-shaped pattern (decreasing slightly then increasing rapidly). (2) The areas with increasing ESVs made up approximately 55.6% of the total area of the river basin. The areas with a decreasing pattern were mainly in the west and north of the Yellow River Basin. (3) The stability and continuity of the ESVs showed a clustered, compact distribution. (4) The most common level of EEC was slightly uncoordinated followed by slightly coordinated and highly coordinated. The proportion of coordinated areas was relatively higher in cultivated land and the lowest in built-up land.

scholarly journals Using systems thinking to study the coordination of the water–sediment–electricity coupling system: a case study on the Yellow River

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuansheng Zhang ◽  
Zhiwei Cao ◽  
Wei Wang ◽  
Xin Jin
Keyword(s):  
Systems Thinking ◽  
Yellow River ◽  
Activity Level ◽  
The Yellow River ◽  
Entropy Weight ◽  
Flood Season ◽  
Irrigation Period ◽  
Electricity System ◽  
Coupling System ◽  
Entropy Weight Method

AbstractJoint operation of the Longyangxia and Liujiaxia reservoirs (Long-Liu operation) is of great significance for water and sediment regulation in the Yellow River. The water–sediment–electricity coupling system is a giant system with complex nonlinear relationships. A reliable Long-Liu operation scheme facilitates maximization of the benefits of the water–sediment–electricity system. Based on systems thinking, this paper quantitatively evaluated the reliability of different Long-Liu operation schemes and coordination of the water–sediment–electricity coupling system through the entropy weight method and dissipative structure model. The results indicated that the current operation scheme is more reliable than the adjusted scheme at the inter-annual scale and during the summer-autumn flood season and ice flood season within a year. However, the operation scheme should be improved during the spring irrigation period. The key factors influencing the quality of the water–sediment–electricity system include the outflow of the Liujiaxia reservoir, incoming sediment load into the Yellow River at Toudaoguai, sediment inflow-outflow difference in the Ningxia-Inner Mongolia Reach, water flow at Lanzhou and power generation upstream of Toudaoguai. The water–sediment–electricity system under the current Long-Liu operation scheme is more coordinated than that in the adjusted state, but the overall coordinated development of the system remains at a low activity level.

scholarly journals Research on ecological environment impact assessment based on PSR and cloud theory in Dari county, source of the Yellow River

2020 ◽  
Author(s):  
Wang Yongqiang ◽  
Wu Zhijun ◽  
Yan Bo ◽  
Li Kai ◽  
Huang Feng
Keyword(s):  
Yellow River ◽  
Cloud Model ◽  
Evaluation Model ◽  
Source Region ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
The Yellow River ◽  
Environment Impact ◽  
Analytic Hierarchy ◽  
Environment Impact Assessment

Abstract In order to reasonably evaluate the ecological environment of Dari County in the source region of the Yellow River, the characteristics and actual conditions of Dari County's ecological environment are taken into account, and the principles of representativeness, scientificity, operability and systematicness of index are followed. An evaluation index system is established for Dari County based on the Pressure-State-Response (PSR) conceptual framework. Combining the Analytic Hierarchy Process (AHP) with the cloud model, an ecological environment evaluation model for Dari County is established, and the ecological environment of Dari County is quantitatively evaluated. The model organically combines the ambiguity and randomness of the uncertainty concept. It not only describes the ambiguity of the evaluation level with a membership function, but also considers the randomness of the membership itself using the concept of superentropy, which is more in line with the actual evaluation object. The results indicate that the ecological situation of Dari County is in a ‘general’ state that should be urgently protected for sustainable development, and land degradation is the most important factor affecting the ecological environment of Dari County.

Herdsman's Multidimensional Well-Being in Response of Natural Resources Protection in the Source Region of the Yellow River, China— Case Study Based on Household Investigation in Maduo County

2014 ◽  
Vol 34 (22) ◽  
Author(s):  
李惠梅 LI Huimei ◽  
张雄 ZHANG Xiong ◽  
张俊峰 ZHANG Junfeng ◽  
张安录 ZHANG Anlu ◽  
杨海镇 YANG Haizhen
Keyword(s):  
Natural Resources ◽  
Yellow River ◽  
Source Region ◽  
Well Being ◽  
The Yellow River

GEOMORPHOLOGICAL CHARACTERISTICS OF A TRANSECT FROM THE YELLOW RIVER TO THE IRON PAGODA IN KAIFENG CITY, CHINA

2018 ◽  
Vol 14 (1) ◽  
pp. 245-254 ◽  
Author(s):  
Yang LI ◽  
◽  
Zhixiang XIE ◽  
Fen QIN ◽  
Yaochen QIN ◽  
...  
Keyword(s):  
Yellow River ◽  
The Yellow River ◽  
Kaifeng City
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