Water resource security evaluation of the Yangtze River Economic Belt

2020 ◽  
Vol 20 (4) ◽  
pp. 1554-1566
Author(s):  
Junlong Liu ◽  
Jin Chen ◽  
Zhe Yuan ◽  
Jijun Xu ◽  
Yongqiang Wang ◽  
...  

Abstract To reasonably evaluate the water resource security state, this research built a water resource security evaluation index system of the Yangtze River Economic Belt (YREB) based on the driving force-pressure-state-impact (DPSI) concept framework, established a water resource security evaluation model by combining the entropy weight method with the fuzzy set pair analysis method and conducted quantitative evaluations of the water resource security states from 2008 to 2016. All the work above was based on the comprehensive consideration of the water resource characteristics in different areas of the YREB, following the index system construction principles. The results have shown that on the whole, the water resource security state of the YREB has generally undergone a process from getting worse to getting better in the latest nine years. From the aspect of the percentages of the water resource security grades, the spatial distribution of water resource security in the YREB is highest in the downstream area, second in the middle reaches, and lowest in the upper reaches. From the aspect of the DPSI security evaluation results, the driving force and state of the water resource are the important factors affecting the water resource security of the YREB.

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1106 ◽  
Author(s):  
Guanghua Dong ◽  
Juqin Shen ◽  
Yizhen Jia ◽  
Fuhua Sun

The security of water resources is the core content and ultimate goal of urban water resource management agencies. The management of water resources is directly related to the needs of urban residents’ lives and the area’s socio-economic development. How to determine the effective evaluation indicators and methods is an important prerequisite to solving the water resource security problem. This study took Luoyang City as the research area and constructed a water resource security evaluation index system based on pressure-state-response framework. An analytic hierarchy process and entropy weight method were used to determine the index weight. A set pair analysis model was then introduced to evaluate the security of water resources in Luoyang from 2006 to 2016. The results of this study show that the standard of water resource security generally improved in Luoyang in the latter years of the study period. From 2006 to 2008, Luoyang was graded at the Insecurity Level. This compares to a slightly improved grading of Critical Security Level from 2009 to 2016 (except for 2013). However, the overall grade is still low. The pressure on the Luoyang water resource system mainly comes from the development of the urban socio-economy, which in turn has caused problems for both the quantity and quality of water resources. Therefore, a series of countermeasures have been introduced as a means of improving the water resource security of Luoyang, and these measures have achieved certain results. However, further improvements to the efficiency of water resource utilization and strengthening the management and protection of water resources remain necessary.


2010 ◽  
Vol 4 (3) ◽  
pp. 357-362 ◽  
Author(s):  
Jing Dai ◽  
Jing Qi ◽  
Jingjing Chi ◽  
Shaoqing Chen ◽  
Jin Yang ◽  
...  

2021 ◽  
Vol 13 (16) ◽  
pp. 8913
Author(s):  
Decai Tang ◽  
Luxia Wang ◽  
Brandon J. Bethel

Over recent decades, the application of artificial intelligence methods in manufacturing has led to new spheres of research such as the Internet of Things, Cyber–Physical Systems, and Cloud Computing and Big Data, leading to the so-called Industry 4.0. However, to date, little research has been geared towards assessing the factors that influence intelligent manufacturing on a regional scale. Addressing this problem, this paper constructs an evaluation index system for the Yangtze River Economic Belt (YREB) intelligent manufacturing sector using eleven years (2008–2018) of provincial panel data. The entropy method is applied to three evaluation criteria, namely intelligent innovation, equipment, and profit, to construct an evaluation index system. An analysis of the results revealed that the level intelligentization of the manufacturing industry of the YREB increases yearly, and that intelligent innovations are notably occurring at a faster rate than profits. Disproportional enterprise returns on investment have occurred, which decreases enterprise motivation to be innovative in the first place. Additionally, it was also observed that FDI, financial development, government intervention, and the level of opening-up were the primary factors modulating regional intelligent manufacturing levels.


2011 ◽  
Vol 347-353 ◽  
pp. 334-339
Author(s):  
Xiao Hong Zhang ◽  
Yan Yan Sun

This paper selected 16 cities of the Yangtze River Delta as research objects, using 5 economic indicators, namely economic aggregate, economic structure, degree of openness, infrastructure construction and sustainable development to set up an evaluation index system. Based on the otherness of the evaluation index, this paper uses the entropy weight method to assess the weights impersonally. By means of TOPSIS method, this paper evaluates and compares the integrated power of economic development in “the Yangtze River Delta” economic circle.


2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liying Liu

AbstractThis paper presents the assessment of water resource security in the Guizhou karst area, China. A mean impact value and back-propagation (MIV-BP) neural network was used to understand the influencing factors. Thirty-one indices involving five aspects, the water quality subsystem, water quantity subsystem, engineering water shortage subsystem, water resource vulnerability subsystem, and water resource carrying capacity subsystem, were selected to establish an evaluation index of water resource security. In addition, a genetic algorithm and back-propagation (GA-BP) neural network was constructed to assess the water resource security of Guizhou Province from 2001 to 2015. The results show that water resource security in Guizhou was at a moderate warning level from 2001 to 2006 and a critical safety level from 2007 to 2015, except in 2011 when a moderate warning level was reached. For protection and management of water resources in a karst area, the modes of development and utilization of water resources must be thoroughly understood, along with the impact of engineering water shortage. These results are a meaningful contribution to regional ecological restoration and socio-economic development and can promote better practices for future planning.


2019 ◽  
Vol 11 (22) ◽  
pp. 6463 ◽  
Author(s):  
Li ◽  
Yin ◽  
Zhang ◽  
Croke ◽  
Guo ◽  
...  

The Beijing-Tianjin-Hebei (Jingjinji) region is the most densely populated region in China and suffers from severe water resource shortage, with considerable water-related issues emerging under a changing context such as construction of water diversion projects (WDP), regional synergistic development, and climate change. To this end, this paper develops a framework to examine the water resource security for 200 counties in the Jingjinji region under these changes. Thus, county-level water resource security is assessed in terms of the long-term annual mean and selected typical years (i.e., dry, normal, and wet years), with and without the WDP, and under the current and projected future (i.e., regional synergistic development and climate change). The outcomes of such scenarios are assessed based on two water-crowding indicators, two use-to-availability indicators, and one composite indicator. Results indicate first that the water resources are distributed unevenly, relatively more abundant in the northeastern counties and extremely limited in the other counties. The water resources are very limited at the regional level, with the water availability per capita and per unit gross domestic product (GDP) being only 279/290 m3 and 46/18 m3 in the current and projected future scenarios, respectively, even when considering the WDP. Second, the population carrying capacity is currently the dominant influence, while economic development will be the controlling factor in the future for most middle and southern counties. This suggests that significant improvement in water-saving technologies, vigorous replacement of industries from high to low water consumption, as well as water from other supplies for large-scale applications are greatly needed. Third, the research identifies those counties most at risk to water scarcity and shows that most of them can be greatly relieved after supplementation by the planned WDP. Finally, more attention should be paid to the southern counties because their water resources are not only limited but also much more sensitive and vulnerable to climate change. This work should benefit water resource management and allocation decisions in the Jingjinji region, and the proposed assessment framework can be applied to other similar problems.


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