Coordination of urbanization and water ecological environment in Shayinghe River Basin, China

2011 ◽  
Vol 21 (4) ◽  
pp. 476-495 ◽  
Author(s):  
Xiang Zhang ◽  
Hong Hu ◽  
Jiangang Xu ◽  
Haiwei Yin
2021 ◽  
Vol 932 (1) ◽  
pp. 012011
Author(s):  
Y Wang

Abstract The Shiyang River basin is a typical inland arid region and one of the most fragile and sensitive areas of terrestrial ecosystems in China, and it is important to understand its ecological changes in a timely and accurate manner. This article selects the Shiyang River basin forest as the research area and uses Google Earth Engine (GEE) to evaluate and monitor the ecological environment quality of the Shiyang River basin from 1990 to 2020. The geographical detector model (GDM) was also used to analyse the sensitivity of the forest ecological environment to three natural factors: elevation, temperature and altitude. The results showed that the ecological quality of the natural forest is significantly better than that of the man-made forest area, and the ecological quality grade is higher. The forest change area RSEI has a large annual variation in ecological quality and is vulnerable to external factors. Among the influencing natural factors, the sensitive factors of precipitation and altitude are both greater than 84%. The temperature sensitivity of natural forests is stronger than that of man-made forests, ranging from 66% to 92% overall.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ting Guo ◽  
Huiying Yu

Starting from the main eco-environmental problems faced by water environment, taking Yanhe River Basin as an example, this paper discusses the theoretical connotation and evaluation calculation method of eco-environmental water consumption. In order to study the eco-environmental water consumption of Yanhe River Basin, a runoff driving factor mining method based on big data analysis is established in this paper. Aiming at the problem that the statistical law and genetic law of runoff change frequently in changing environment, the mining technology method of runoff key driving factors is proposed by combining traditional methods with big data analysis. The characteristic factors that have no significant impact on runoff change are removed, the implicit characteristic factors affecting runoff change are extracted, the driving relationship of hydrological, meteorological, and vegetation characteristic factors on ecological water consumption change is identified, and the key driving factors of ecological water consumption change are extracted, which lays a data foundation for ecological water consumption prediction based on machine learning. The economic water consumption based on eco-environmental water consumption in Yanhe River Basin in the future is predicted (including water demand in three aspects of industry, agriculture, and life); that is, the prediction is to meet the economic water demand on the basis of ensuring that the water consumption of ecological environment will not be occupied, which can effectively ensure the improvement of ecological environment function in Yanhe River Basin and is conducive to the sustainable utilization of water resources in Yanhe River Basin. The research is only based on a small watershed such as Yanhe River Basin, and the purpose of the research is to provide a reference for ecological environment protection and sustainable utilization of water resources in the Loess Plateau, even in the arid, semiarid, and semihumid areas of North China.


2010 ◽  
Vol 113-116 ◽  
pp. 488-494 ◽  
Author(s):  
Yue Jian Wang ◽  
Guang Yang ◽  
Hai Liang Xu

The water resources carrying capacity is an important component of natural resource carrying capacity in a country or region sustained development process. It is the key being related to using the water resources reasonably, which means vital to the sustained growth of the water resources, the social economy and the ecological environment concordant development.Taking the case of river basin in arid zone of the Manasi River Basin,The author evaluated water resources supporting capacity condition basin in different year of the Manasi River by establishing fuzzy comprehensive evaluation model. The results indicated that because of saving water technological progress and industry restructure advancement, the water resources carrying capacity of Manasi River will be improved in the future twenty years. The water resources supply and demand contradictory will be obtained certain alleviation, but the uneven of water resources space and time distribution is still the main restrictive factor of the development of society and economic and the ecological environment construction.


2019 ◽  
Vol 11 (21) ◽  
pp. 6138 ◽  
Author(s):  
Kai Xiong ◽  
Ning Zhang ◽  
Chih-Chun Kung ◽  
Fanbin Kong

Using the contingent valuation method and the Heckman two-stage model, we explore residents’ willingness to accept (WTA) compensation and their WTA level for ecological conservation compensation in the upstream of the Ganjiang River Basin in China. The findings reveal that 86.26% of the respondents are willing to accept compensation, and the average compensation level is ¥789.60/household per year. The residents’ gender, annual disposable income, residential location, decision on whether or not the watershed environment is important, and their satisfaction with water quality and quantity are significantly related to their WTA. The influencing factors that significantly affect compensation level are residents’ occupation, educational background, annual disposable income, family size, residential location, decision on whether or not the watershed environment is important, and their satisfaction with water quality and quantity. The results of this empirical research have important policy implications: the government should strengthen advocacy and education of watershed ecological environment protection, intensify farming and other agricultural activities, establish a differentiated and diversified compensation strategy, so as to protect and improve the ecological environment of the Ganjiang River Basin.


2009 ◽  
Vol 7 (3) ◽  
pp. 133-145
Author(s):  
Geon Jik LEE ◽  
Jin Uk SEONG ◽  
Je Chul PARK ◽  
Jae Keun RYU

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