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Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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 Southern Energy Construction is the property of Southern Energy Construction Editorial Office 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.)

Optimal allocation of water resources can solve the problems of regional water resources shortage and unreasonable utilization, and in recent years optimization algorithms have become an important tool for obtaining the results of optimal allocation of water resources. To effectively alleviate the problems of slow convergence, local optimization and prematureness in existing optimal allocation algorithms, this paper introduces a new metaheuristic algorithm: the Cheetah Optimizer (CO), with the advantages of fast convergence, robustness, and superiority-seeking ability, which is applied to the optimal allocation of water resources. Taking Taiyuan as the study area, this paper establishes a water resource optimization model with the objectives of economic, social, and ecological benefits, and CO is used to solve the model, then compares and analyzes the results with the Genetic Algorithm (GA). The results show that the total pollutant discharge of CO is within the control target of the planning year (2030), the regional satisfaction reaches 0.98, which can meet the demand for basic and development water; compared with the current year (2020), the proportion of domestic water consumption decreases by 22.58%, and the proportion of water consumption in production increases by 10.53%, 25.81% and 12.5%, respectively. The water supply ratio of surface water and groundwater is reduced by 21.70% and 11.14%, respectively, the water supply ratio of reuse water and yellow diversion water is increased by 5.43% and 27.40%. It accords with the idea of water resources allocation in Taiyuan, and verifies the effectiveness of CO. Compared with GA, CO has increased regional satisfaction, integrated water value and water distribution equity by 7.10%, 3.57% and 56.52%, respectively, reduced pollutant emissions and water shortage by 3.11% and 3.85%, at the same time, it has better coordination, which verifies the superiority of the CO. The results show that CO is reasonable and feasible to solve the optimal allocation model of water resources, which can provide a new method for solving the optimal allocation model of water resources. [ABSTRACT FROM AUTHOR]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office 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 Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office 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 Hydrogeology & Engineering Geology / Shuiwendizhi Gongchengdizhi is the property of Hydrogeology & Engineering Geology Editorial Office 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.)

Copyright of Water Conservancy Science & Techonlogy & Economy is the property of Water Conservancy Science & Technology & Economy Editorial Office 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]

Water resources conflict is a key scientific issue related to regional security and global sustainable development. With the intensification of global climate change, changes in the spatial and temporal distribution of water resources have led to more complex and uncertain water conflicts. Based on the temporal and spatial distribution characteristics of 1240 water conflicts in the world in the past hundred years, and based on the theories of resource science, economics, international politics, etc., this paper reveals that water conflicts in various regions have their natural ecological, social economic, historical and cultural, and international political roots, and then analyzes the causes of water conflicts from three perspectives: scarcity of resources, internationalization of river basins, asymmetry of water power among countries, and lack and failure of water cooperation mechanisms. Finally, from the perspective of international relations and negotiations, the current solution mechanism is explored, and based on the natural, economic and historical characteristics and development demands of each region, the coordination mechanism and solution suitable for cross-border water resource conflicts are explored through measures such as enhancing regional interest sharing, carrying out comprehensive watershed planning, and strengthening the implementation of international treaties. [ABSTRACT FROM AUTHOR]

Copyright of Pearl River is the property of Pearl River Editorial Office 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.)

Water resource is a prerequisite for the development of the arid regions in Northwest China. The fluctuation of water resources utilization efficiency and price in Xinjiang has a significant impact on its economic and social development. Based on the input-output table data of Xinjiang in 2017, this paper uses the input-output method to compile the input-output table of water resources based on values and build a value model, which makes up for the deficiency of other methods by means of micro-analysis. The results show that there is still room for improving the utilization efficiency of water resources in Xinjiang. When the price of water resources rises, the price of products in various sectors of the national economy will rise, which will have a negative impact on the economy of Xinjiang . Further research shows that when the prices of water resources rise at the micro-level, output prices of agriculture, forestry, animal husbandry, fishery, transportation, post and telecommunications, public services and other sectors increase significantly. At the macro-level, the primary industry witnesseses the biggest increase in output prices. At present, there is still room for adjustment of water resource prices, so we should make full use of price means to strengthen water resource allocation and serve economic development. [ABSTRACT FROM AUTHOR]

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 Agricultural Archaeology is the property of Agricultural Archaeology Editorial Office 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]

Copyright of Water Conservancy Science & Techonlogy & Economy is the property of Water Conservancy Science & Technology & Economy Editorial Office 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 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]

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office 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.)

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 China Rural Water & Hydropower is the property of China Rural Water & Hydropower Editorial Office 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.)

Israel is located in the Middle East. Due to it’s geographical position and low-amount and uneven-distributed precipitation, Israel is short of natural fresh water resources. National government has developed innovative technologies in producing, transporting and recycling water resources to solve its water shortage crisis. After several-year efforts, Israel has changed from a country with water scarcity to an agricultural country with highly-effective use of water resources. Israel is even called as the ‘Vegetable Basket for European countries’. This paper firstly introduces Israel’s geography and climate condition, as well as it’s water type, then introduces the utilization structure of water resources, and finally introduces six scientific and technological innovations used to prevent water crisis. This paper aims to share experience of effective use and management of water resources and to provide references for international cooperation and academic study.

Copyright of Geography & Geographic Information Science is the property of Geography & Geo-Information Science Editorial Office 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]

Climate change and human development have significantly altered the processes of natural water cycling, aggravating the challenge of worldwide water governance. China has initiated a new paradigm of water governance. However, the gap between concept and reality widened due to a lack of appropriate data and methodology. Current water management focuses on limiting the water withdrawals and improving the water use efficiency, and is not yet able to ensure the implementation of the new water governance paradigm. After a thorough study of the advanced development and achievement of water governance policies both at home and abroad, the conclusion has been reached that the total water consumption should be introduced as an additional management indicator to implement a dual control of water withdrawal and consumption. The paper proposes to: (1)Establish water consumption monitoring infrastructure with evapotranspiration remote sensing monitoring as its core component. (2) Implement the rigid water resources constraint by determining available water consumption targets of human activities in the basin, considering water requirements of environmental flow and ecosystem restoration, and establish a cascading system assigning targets to the sectors and/or stakeholders. (3) Implement the water consumption reduction schemes by limiting agricultural planting areas and optimizing ecosystem restoration with indigenous species. It is expected that the proposed approaches will effectively ensure the implementation of China′s new water resources governance paradigm with innovative data, methods, and measures. [ABSTRACT FROM AUTHOR]

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]

Copyright of Journal of Irrigation & Drainage is the property of Journal of Irrigation & Drainage Editorial Office 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.)

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]

[Introduction] The purpose of this paper is to research and analyze the influence of water resources on the development of the green hydrogen industry in China, reveal the contradiction between water resources and the development of green hydrogen industry, analyze the future development trend of the green hydrogen industry and to provide useful reference for the development layout of renewable energy hydrogen production projects in China. [Method] In order to prove that water resources could limit the development of the green hydrogen industry in "Northeast China, North China, Northwest China" and other areas, the analysis and the demonstration were made based on the field investigations and the documentary materials, considering water resources policies, water usage in traditional chemical industries, and hydrogen production technologies. [Result] The analysis results show that under the restriction of China's water resources-related policies, the layout of green hydrogen industry should consider the constraints of water resources, and the large-scale production of green hydrogen and its substitution for fossil energy hydrogen production cannot effectively save water. Instead, it may lead to an increase in water consumption by the chemical industry. Under the constraint of water resources, the development of China's green hydrogen industry must consider the layout from a holistic perspective, fully integrate the development trend of the existing chemical industry, and consider the abundant resources available such as seawater. [Conclusion] The development of the green hydrogen industry in China should not ignore the problems of existing policy framework, technology level, industrial layout and characteristics of existing resources. When arranging the layout of the green hydrogen projects, the current situation and future trends should be fully considered, and the problems posed by water resources on the green hydrogen industry should be solved from the perspective of the overall planning, the coordinated industrial development and the effective utilization of resources.

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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 Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering 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.)