Search

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to quantitatively evaluate the impact of inter-industry water rights transfer on economy and society in the main stream of the Yellow River in Inner Mongolia, the paper analyzed the impact of water rights transfer on agriculture, and the impact of water rights transfer on water use, production and operation, annual income, people's livelihood and economy of all industrial enterprises. The results show that the transfer of inter-industry water rights in the main stream of the Yellow River in Inner Mongolia in 2019-2021 has driven the total investment of industrial projects to 599.58 billion Yuan, created 122 145 new jobs, the gross regional product is 44.709 billion Yuan, the industrial added value is 238.821 billion Yuan, the annual tax revenue is 19.47 billion Yuan, the newly paved road area is 13.161 7 million km², and the new green area is 30.995 million km². The agricultural output value and farmers' income have been significantly increased, local livelihood issues have been effectively solved, and ecological protection and social and economic development along the Yellow River have been promoted. The transfer of water rights between industries in the main stream of the Yellow River in Inner Mongolia has alleviated the bottleneck of water resources of industrial enterprises along the Yellow River, realized the multi-win of farmers' production increase, economic efficiency increase and ecological restoration, and provided strong support for ecological protection and high-quality development of the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to investigate the dynamic evolution and regional differences of quaternity cooperation of water resources-ecology-city-industry in the Yellow River Basin, the paper adopted the synergy model, kernel density estimation, Dagum gini coefficient and its decomposition to estimate it based on the data of 76 major prefecture-level cities in the Yellow River Basin from 2016 to 2020. The results show that the number of cities in primary, intermediate and good coordination is 30, 33 and 13 respectively. The level of synergy among cities is on the rise, but the absolute difference between cities is expanding and the relative difference is narrowing. except for Hu-Bao-E-Yu urban agglomeration, the absolute difference of the coordination degree of the other six urban agglomerations all shows an expanding trend. The internal differences between the upper and lower reaches of the Yellow River show a downward trend, while the internal differences in the middle reaches show an upward trend. The difference between the upper and middle reaches is the largest, and it shows a further expansion trend, and the difference between the upper and lower reaches is gradually narrowing. The difference in Hu-Bao-E-Yu urban agglomeration is the smallest and the difference in Guanzhong urban agglomeration is the largest. The difference between Guanzhong urban agglomeration and Shandong peninsula urban agglomeration is the smallest, and the difference between Jinzhong urban agglomeration and Shandong peninsula urban agglomeration is the largest. In the future, we should further strengthen factor coordination and regional coordination, give play to the dynamic comparative advantages of various regions, and promote the in-depth implementation of ecological protection and high-quality development strategies according to local conditions in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to systematically analyze and accurately quantify the matching characteristics of water resources and economic and social development in prefecture-level cities, typical factors such as total water resources, water consumption, population, GDP and cultivated area were selected in this paper, and a new quantitative research idea that simultaneously applying the calculation methods of matching degree based on Gini coefficient and data sequence was proposed. Taking 10 prefecture-level cities along the Shaying River as examples, this paper quantitatively analyzed the spatial-temporal matching relationship between water resources and economic and social development from 2009 to2018. The results show that the application of the above two methods can comprehensively study the matching issue of the two systems elements from the perspective of the whole time/space and the single city/time. There are some differences in the temporal Gini coefficient among prefecture-level cities, but the matching degree of different elements is basically consistent and the results are all good. Except that the temporal matching degrees of total water resources and GDP, water consumption and GDP present a low-high-low evolution trend, the results of other elements present a fluctuation trend over time. The spatial Gini coefficient varies little on the time scale, while there are significant differences among different matching elements. The spatial matching degree is basically consistent in time and the results of some prefecture level cities are poor, especially in Zhengzhou, Nanyang and Zhumadian cities. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to deal with the imbalance of water resources in the water receiving area of the Yellow River Diversion Project in Henan Province and provide a reference for the rational allocation of water resources in the water received area, this paper used Lorentz Curve to calculate the Gini coefficient of 14 prefecture level cities in the water received area, and used the method of connection number calculation combined with the subtractive set pair potential to diagnose and discriminate the unbalanced sub areas. The results show that from 2010 to 2020, the matching of water resources with population and cultivated land area in the Yellow River diversion and received area is in a relatively balanced or balanced level, and the overall water resources spatial equilibrium level is in a relatively balanced or balanced level for a long time; the severe situation of the spatial balance grade of water resources and population shows that Zhengzhou radiates to the surrounding areas, and the spatial balance grade of water resources and cultivated land area shows that the north of Henan Province is worse than that of the south; in 2020, the vulnerable areas of water resources spatial balance include Zhengzhou, Puyang, Xinxiang and Anyang, which are the main control objects of water resources balanced distribution. [ABSTRACT FROM AUTHOR]

In order to promote the rational allocation of water resources in Shaanxi Province and the Yellow River Basin and ensure regional water security, based on virtual water theory and inter-regional input-output table of China, this paper calculated the water consumption coefficients of three major industries virtual water volume in Shaanxi Province, and the virtual water trade volume between this province and other provinces in China in 2007, 2010, 2012, 2015 and 2017 with the help of input-output model, and explored the main factors affecting the change of virtual water volume in Shaanxi Province by using gray correlation model. Further, the inter-industry allocation characteristics of virtual water in Shaanxi Province were analyzed and the virtual water trade network between Shaanxi Province and other provinces were established. The results show that a) the coefficient of direct water consumption and complete water consumption coefficient of the primary industry in Shaanxi Province are higher than that of the secondary and tertiary industries, but all show a decreasing trend over this time, indicating that the province’s water use efficiency are constantly improving. b) The primary and secondary industries account for the majority of the virtual water supply in Shaanxi Province, and the level of agricultural technology, population size, urbanization rate, food production, industry and construction development level are the main factors affecting the virtual water supply of the primary and secondary industries in the province. c) More than 70% of the virtual water in Shaanxi Province are consumed by itself and transported to other provinces mainly are Guangdong, Shanghai, Tianjin, Hebei, Shandong, Shanxi, Inner Mongolia and Henan provinces. It mainly exports to the primary industry. More than 90% of the virtual water input derives from the secondary and tertiary industries of Jiangsu, Guangdong, Shanghai, Anhui, Zhejiang and Hunan provinces. d) Shaanxi Province has maintained net input state for a long time in the inter-provincial trade; compared with the actual water resources trade net virtual water trade between Shaanxi Province and Sichuan, Liaoning, Jilin and other provinces is unreasonable. Shaanxi Province should promote the spatial and temporal matching of virtual water and physical water by adjusting the industrial structure and optimizing the inter-provincial trade network, which is of great significance for the rational use of water resources at the Yellow River Basin scale and even at the national scale. [ABSTRACT FROM AUTHOR]

Urban water demand prediction is an important basis for urban water resources planning, management and decision-making. In order to improve the accuracy of water demand prediction, a nonlinear prediction model based on least squares support vector machine（LSSVM） was proposed. Aiming at the issue that the optimization process of Grey Wolf Optimization Algorithm（GWO） was easy to fall into local optimization, general opposition-based learning and nonlinear control parameters were used to improve the global optimization performance. The improved GWO algorithm was more suitable for the fitting of nonlinear model parameters. Therefore, IGWO was introduced into LSSVM water demand prediction model to fit the super parameters of the model. The model was tested by using the urban water supply data of Shanghai in recent years. The simulation results show that the average relative error of the urban water demand prediction model proposed in this paper is 0.78%, and the maximum relative error is 1.37%. It has good generalization ability and can be used as an effective method of water demand prediction. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The ecological compensation standard for water in inter-basin water transfer should not only truly reflect the value of water resources in inter-basin water transfer, but also consider the economic affordability of the public in the water-receiving area. Taking Beijing, the water-receiving area of the Middle Route of the South-to-North Water Diversion Project as an example, the paper studied its ecological compensation standard, selected water supply, water resources regulation and storage and net primary productivity as the evaluation indicators of ecosystem service value, energy analysis theory was used to calculate the energy/monetary value of each index, and the the incremental value of the service value of the ecosystem in Beijing from the water supply of the South-to-North Water Diversion Project was comprehensively obtained. Conditional value assessment method was used to investigate the population between 20 and 70 years old people in Beijing who had lived continuously for more than half a year to determine the public’s willingness to pay. The results show that the increment of ecosystem service value of Beijing is 3.898 billion Yuan, the public’s willingness to pay is 915 million Yuan, and the willingness to pay is much lower than the increment of ecosystem service value. Based on this, the water resources ecological compensation standard of Beijing South-to-North Water Transfer Project is proposed, the Beijing’s ecosystem service value increment is the upper limit of the ecological compensation standard, and the public’s willingness to pay is the lower limit of the ecological compensation standard. The diversified ecological compensation mechanism provides scientific basis and promotes the sustainable and healthy development of social economy. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of economy and society, the sustainable development and utilization of water resources has increasing ly become the focus of social attention. The sustainable utilization of water resources is the guarantee of social and economic sustainable devel opment. Water resources are closely related to social environment and ecological environment. In order to solve the harmonious relationship between water resources and ecology, population and society, scientific development and utilization of water resources has become the key. Based on the relationship between transfer in and transfer out, this paper analyzed the development and utilization rate of water resources in China's primary water resourfes areas, and obtained the change trend of the development and utilization rate of surface water resources by ing and analyzing the development and utilization rate of surface water resources from 2005 to 2019. The results show that, since 2005, the development and utilization rate of surface water resources in the first-class water resources zone has increased slowly. As the water diversion project diverts water into the basin, the surface water supply increases, and the development and utilization rate of surface water re sources changes accordingly. By citing the water transfer project, the water pressure in the water deficient area of the first-class water re sources zone has reduced, which alleviates its water shortage state and plays a positive role in the regional economic and social development. [ABSTRACT FROM AUTHOR]

Water resources security directly or indirectly affects the development of society, economy, environment, etc. The study of water resources security is great significant to regional sustainable development. This paper used analytic hierarchy process method to comprehen? sively evaluate the water resources security of 14 cities in the Yellow River diversion and water receiving area of Henan Province in 2019 from three aspects of water quantity, water efficiency and water quality. Three representative indicators were selected in each aspect, the data of each indicator were normalized and the comprehensive water resources security index was calculated in combination with the weight obtained by the analytic hierarchy process, Thus, the comprehensive evaluation grade of water resources security of each prefecture and city was ob? tained. The results show that Hebi in the Yellow River diversion and water receiving area of Henan Province is at the "unsafe" level, Luoy? ang is at the "safe" level, and the water resources security levels of other cities are at the "basic safe" and "relatively safe" levels. There is still a certain gap from the "safe" level requirements. It is necessary to strengthen the management and allocation of water resources from all aspects, optimize the utilization scheme, and realize the balance between supply and demand of water resources. [ABSTRACT FROM AUTHOR]

It has become the necessary path of economic and social development under the constraint of water resources to comprehensively improve the utilization efficiency of water resources and accelerate the construction of water-saving society. In order to promote the coordination between the development of economic society and water resources carrying capacity, this paper analyzed the adjustment scheme of the industrial development scale and industrial structure optimization under different levels of water utilization efficiency, based on the measurement of the correlation and relevancy between industrial structure and water resources in Ningxia. The results show that the composition of primary industries and tertiary industries in Ningxia has a strong correlation with the composition of water consumption, which is related to the degree of dependence of industrial development on water resources. The development of tertiary industries in Ningxia is dominated by characteristic tourism and sales of agricultural and sideline products, which is highly integrated with the primary industries. Water resources have a strong constraint effect on industrial structure and there is a large space for industrial structure adjustment. In the future, Ningxia should be supported by limiting the scale of agricultural development, introducing advanced water-saving technology and promoting the development of industries from primary to secondary and tertiary industries. Water intensive industries should be developed into high-tech industries and traditional service industries should be developed into modern service industries. The industrial structure should be optimized and upgraded step by step. [ABSTRACT FROM AUTHOR]

This paper empirically tested the influences of water resources on industrial structure adjustment by employing cointegration, VECM estimation, impulse response and variance decomposition based on the data from Henan Province during the period of 1999-2015. The results show that: a) water resources has played a role in promoting industrial structure adjustment, but this positive effect is relatively limited and passive; b) there is a weak dynamic self-adjusted mechanism between Henan Provincial water resources and industrial structure adjustment in the short term. [ABSTRACT FROM AUTHOR]

The paper defined the connotation of the water resources balance sheet, and discussed the confirmation, measurement, recording, and reporting of relevant elements such as water resources assets, water resources liabilities, and water resources owner equity. It built a water resources balance sheet framework for water resources assets. The main features of the three elements of liabilities and owner's equity were to set appropriate types of subjects and designed the form of the physical quantity of water resources and the style of value-based water re­sources balance sheet. Based on the proposed theory, it tested a water balance sheet for the Yellow River basin. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)