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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.)

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.)

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.)

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.)

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.)

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.)

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.)

Due to the influence of environment and other factors, there are often abnormal data in dam monitoring data and the detection of abnormal data plays an indispensable role in the normal operation of the dam. However, the accuracy of traditional anomaly detection algorithms for dam monitoring data often fails to meet the requirements. In this paper, an anomaly detection algorithm based on Prophet GMM was proposed. The better fitting performance of Prophet algorithm was used to fit the dam data and the residual sequence was obtained from the fitting data and the actual data. Then, the residual sequence was clustered by GMM algorithm to accurately identify the abnormal value. The test results show that the method proposed in this paper can accurately identify outliers for different types of dam monitoring data. Compared with the traditional detection algorithm, it has significantly improved the detection indicators of precision, recall and accuracy. [ABSTRACT FROM AUTHOR]

In order to solve the problem that the assessment method of urban water resources vulnerability too subjective and not taking into account the finite rationality of natural person and the psychological behavior characteristics of regret avoidance, which resulting in the distortion of the evaluation results, this paper proposed an urban water resources vulnerability assessment method based on OWA operator empowerment and regret theory. The DPSIR model was used to construct 29 evaluation indexes from the following five aspects including driving force, pressure, state, influence and response. OWA operator was used to reorder the decision data, which fully considered the location and size of data, so as to weaken the negative effect of extreme decision data on weight. The difference between the utility value of decision data and the ideal utility value in the regret theory was selected as the basis to evaluate the subjectivity of experts, so as to realize the objectification of the subjective data of decision making and improve the objectivity of the evaluation results. Finally, this paper evaluated the water resources vulnerability of Zhengzhou from 2017 to 2022, and compared the evaluation results with those of AHP and regret theory, OWA operator and fuzzy mathematics. The results show that the evaluation results of urban water resources vulnerability assessment method based on OWA operator empowerment and regret theory are basically consistent with the evaluation results of other methods, all of which are considered as severely vulnerable water resources in Zhengzhou City. However, the evaluation results of this method have less relative error and are more close to the actual situation, which can be better used for the assessment of urban water resources vulnerability. [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.)

In the process of hydraulic engineering design, BIM is often manifested as a single model, and there is a lack of effective information sharing mechanisms among various disciplines. In order to improve the level of information sharing and design quality and efficiency and based on BIM+GIS technology, the paper analyzed the BIM design process of hydraulic engineering works and the requirements for BIM+GIS collaborative management, proposed a multi-party collaborative management mechanism of tasks, plans and personnel in the process of engineering planning, design, construction and operation and maintenance, developed a BIM+GIS collaborative management platform to achieve information sharing throughout the entire life cycle of the project. Taking the Middle Route Water Supply Project of Yinchuan metropolitan area as an example, the platform was practically applied. The application situation shows that the BIM+GIS collaborative management platform achieves unified management of engineering plan preparation and summary, task adjustment and change, visual progress control, design scheme demonstration and review. Collaborative design based on BIM+GIS achieves model assembly, collision detection and optimization design. The collaborative delivery of design based on BIM+GIS achieves the review and delivery of engineering design results. [ABSTRACT FROM AUTHOR]

Located in the south bank of the middle and lower reaches of the Yellow River, Zhengzhou and Luoyang have a special position and role in the ecological protection of Henan Province and even the Yellow River basin. Based on the four periods' land use data from 1990 to 2022 and combined with the PLUS model, the paper analyzed the spatial-temporal evolution characteristics and driving mechanisms of land use in the area along the Yellow River in Zhengzhou and Luoyang cities from the aspects of land use dynamic degree, transfer matrix, migration of gravity center and landscape pattern. The results show that arable land and construction land are the dominant landscape types. Over the past 32 years, the area of arable land has shrunk significantly, while construction land has expanded dramatically and mainly derived from arable land. Forestland and grassland are concentrated in the western and southern areas. From 2000 to 2010, the transformation of arable land into water mainly occurs along the northern Yellow River coast. The gravity center of construction land moves to the southwest, and tends to contiguous development. The dominant position of arable land has weakened and spatial heterogeneity has increased. The overall natural connectivity has decreased, and fragmentation has intensified. The decrease of arable land and expansion of construction land has mainly influenced by population density in socio-economic factors, and natural factors are the main drivers for the change of ecological land. [ABSTRACT FROM AUTHOR]

Based on the concept of life, this paper analyzed the basic characteristics of rivers with life, demonstrated the natural value and intrinsic value of rivers, expounded the definition of river ethics, and built the ecological basin theory system based on river ethics. Using river ethics and principal component analysis, it analyzed river ethics in eight dimensions of water security, water resources, water economy, water management, water culture, water environment, water ecology and water landscape in Weihe River Basin, and initially explored the principal component index system of ecological basin based on river ethics. The principal component analysis results show that in the management of the Weihe River watershed, it is essential to prioritize comprehensive coordination across all dimensions. Management efforts should focus on the key elements identified through principal component analysis, while integrating river ethics into the development of ecological watershed. [ABSTRACT FROM AUTHOR]

It is of great significance to clarify the reason of water resources pressure for alleviating the shortage of water resources and rational allocation of water resources. In order to explore the reason of water resources pressure and its driving factors, this paper used various water resources statistics of Xi' an from 2013 to 2020 to study the change trend of its water footprint, and combined with LMDI decomposition method to analyze the influence of technological effect, population effect, structural effect and economic effect on the water resources pressure of Xi' an. The results show as follows: a) The water footprint of Xi' an reaches to the maximum in 2018, and the water footprint is dominated by the internal water footprint, accounting for about 90.24%-95.52%; the internal water footprint is dominated by agricultural water, accounting for 35.26%-41.82%. From the perspective of spatial structure, the per capita water footprint of the six urban districts is lower than that of other districts in Xi'an. b) From 2013 to 2020, the water footprint of Xi'an is in a state of water deficit, and the water resources are in a state of overloaded development and utilization. c) Among the driving factors of water footprint in Xi'an, the technical effect is the reverse driving effect, and has the greatest impact on the water footprint. Among the positive driving factors, the economic effect and the population effect have a greater impact on the water footprint, and the structural effect is smaller than that of the former two. [ABSTRACT FROM AUTHOR]

This paper addressed the characteristics of multi-objective, multi-variable, complex constraints, non-linear solution results and difficult solution process of urban water resources allocation issues in the new development stage. In response to the issues of unreasonable solution results, low computational efficiency and slow convergence of traditional optimization algorithms such as linear programming, dynamic programming and non-linear programming in solving water resources allocation issues, a multi-objective water resources allocation model based on coevolutionary particle swarm optimization (CPSO) was proposed. The water resources allocation model was built with the objective of maximising social, economic and ecological benefits, and water supply, water demand, water supply capacity and reservoir capacity by taking Zhengzhou as an example. Through inputting the water demand and water availability of each calculation unit and sector in Zhengzhou, the model calculated and output the proportion of water shortage in the nine districts of Zhengzhou in 2019 and 2035. The results show that the regional distribution of water supply in Zhengzhou City is relatively balanced, and the water shortage rate is within an acceptable range. The algorithm of this model has a fast evolutionary speed and good evolutionary stability. The advantageous results can be well preserved in the population and have strong dominance over the evolutionary direction. It can be effectively applied to solve water resources allocation issues and improve the computational efficiency of the model, providing technical support for water resources management departments. [ABSTRACT FROM AUTHOR]

In order to enhance the horizontal eco-compensation mechanism across the Yellow River Basin and promote ecological protection and high-quality development within the region, this paper fully considered the economic and social status of the nine provinces (autonomous regions) along the river, including population, fiscal budget revenue, and the results of their governance and ecological protection. By emplo- ying the factor method and socio-economic statistics of the nine provinces (autonomous regions) along the Yellow River Basin, the total a- mount of horizontal eco-compensation funds raised in 2021 and the financial contributions and allocations of the provincial (autonomous re- gion) governments were calculated. The calculation results indicate that a) in 2021, a total of 5.618 billion yuan in horizontal eco-compensa- tion funds is raised in the Yellow River Basin, with 4.618 billion yuan coming from vertical transfer payments from the central government and 1.00 billion yuan from nine provinces (autonomous regions). b) The distribution of horizontal eco-compensation funds is relatively high in the upper and middle reaches of the water conservation and ecological protection management areas, while it is relatively low in the middle and lower reaches of the water conservation and ecological protection benefit areas. This allocation is conducive to incentivizing upstream provinces to further engage in active ecological environmental protection and management activities. c) The middle and lower portions of the basin, which are more economically developed, are typically the places that benefit from ecological protection and are crucial in helping to raise money for horizontal eco-compensation in the Yellow River Basin. As a result, the middle and lower reaches of the basin's economically developed areas are encouraged to increase their financial support for horizontal eco-compensation. d) The factor method, which balances the environmental and economic benefits of basin ecological protection and management, reflects fairness and scientificity in the calculation of the standard for horizontal eco-compensation. It is suggested that the Yellow River Basin's horizontal eco-compensation should be increased fur- ther, and that a multi-eco-compensation mechanism involving social participation and government leadership should be established. [ABSTRACT FROM AUTHOR]

In order to fully explore and realize the value of soil and water conservation carbon sink in the Yellow River Basin, and effectively promote its development and market trading, on the basis of clarifying the connotation and characteristics of soil and water conservation car- bon sink in the Yellow River Basin, its quality was evaluated from three dimensions; the contribution quality of new carbon storage, the contribution quality of sustainable development, and the quality of carbon sink production process. This paper built an evaluation index system composed of 3 first-level indicators, 14 second-level indicators and 47 third-level indicators, and pointed out the appropriate methods for determining the weights of indicators at all levels and the methods for calculating the carbon sink quality index of soil and water conservation. It suggests that: firstly, we should carry out a whole process pilot project in the Yellow River Basin including high-quality soil and water conservation carbon sink development, monitoring and accounting, carbon sink project rating, information disclosure, and market trading; secondly, we should strengthen international cooperation and exchanges, learn from the differentiated pricing mechanism of the international voluntary emission reduction market, and build a carbon sink pricing system for soil and water conservation in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

The security of agricultural water resources is crucial for food security, ecological environment and the economic development of rural areas. In order to promote efficient utilization and sustainable development of regional agricultural water resources, taking into account the impact of uncertainties and complexities, this paper adopted methods such as ordinal relation analysis, entropy weight method, and TOP- SIS (Technique for Order Preference by Similarity to Ideal Solution) to select 11 typical indicators across three subsystems of water resources, ecology and agricultural water use to build an evaluation index system. This system was used to assess the agricultural water resources security status in 14 prefecture-level cities within the Yellow River water diversion area of Henan Province in 2022. The results show that among the 14 prefecture-level cities, except Kaifeng is the "unsafe" level and Xinxiang, Hebi, and Puyang are the "generally safe" level, the other 10 cities are the "relatively safe" level, which still has some distance away from the "safe" level. It recommends to implement measures such as improving water quality, increasing available water resources, adjusting crop planting structures, enhancing water resources utilization efficiency, and enforcing the strictest water resources management system to ensure the agricultural water resources security in the Yellow River water diversion area of Henan Province. [ABSTRACT FROM AUTHOR]

In order to solve the issue of water scarcity in coal mining areas, this paper collected hydro-geological data from 18 typical coal mines from six major coal mining areas of Hebi, Jiaozuo, Yongcheng, Pingdingshan, Yima and Zhengzhou in Henan Province and evaluated the utilization of groundwater resources in coal mine goaf areas, by using the AHP-set pair analysis to construct an evaluation index system. with utilization of groundwater resources in typical coal mine goafs in Henan Province as the target layer; water quantity, water quality and current status of water resources utilization in mining areas were taken as the criterion layer; twelve evaluation indicators, including mine water inflow, average coal thickness, goaf area, maximum mining depth, roof lithology, complexity of geological structure, total hardness, total dissolved solids content, pH value, chloride ion content, mine water utilization rate and incentive policies were taken as the index layer. At the same time, it also evaluated the utilization of groundwater resources in coal goafs in Henan Province and compared the results with those obtained from analytic hierarchy process. The results show that the evaluation results of the two methods are basically consistent. The utilization feasibility of groundwater resources in typical goaf of six coal mining areas in Henan Province is the best in Jiaozuo mining area, the worst in Yongcheng mining area, and the other four mining areas are in the middle and the evaluation results are similar, indicating that the evaluation index system and evaluation results of typical goaf groundwater resources in Henan Province built by AHP-set analysis method are relatively reliable. [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.)

Aqueduct is a typical space thin-walled structure, which is very sensitive to external temperature changes. Surface insulation measures can effectively improve the temperature stress distribution of the structure and prevent surface cracks. Although the calculation method of surface insulation capacity commonly used in dam construction is of reference significance to aqueduct insulation issue, it cannot be directly applied, so the aqueduct insulation issue needs to be studied separately. Therefore, based on the temperature load of aqueduct structure, this paper put forward a calculation method of aqueduct insulation design based on the temperature and temperature stress analysis of concrete structure. The calculation results show that the stress state of the groove body can be greatly improved by laying 5.0 cm thick polyurethane foam insulation material on the outer surface of the straight wall section and the arc section of 0°-45°. When the temperature rises, the inner wall circumferential and longitudinal tensile stress does not appear. When the temperature drops, the circumferential and longitudinal stress of the outer wall is reduced, and the stress state of the inner and outer walls of the groove body meets the design requirements. The project case study shows that the calculation method of thermal insulation design proposed in this paper can be applied to the thermal insulation design of aqueduct during operation, and then the key parameters of thermal insulation design such as laying range and insulation layer thickness can be determined. [ABSTRACT FROM AUTHOR]

The water quality data of the river basin has dual dependencies in time and space. Based on the fact that most of the existing water quality prediction models are only based on the time dimension and cannot make effective use of the spatial correlation of water quality, a spatiotemporal prediction model based on graph convolution neural network GCN and long short-term memory network LSTM was proposed in this paper. Firstly, the whole watershed was constructed into the topology of station-to-station connection, and the distance along the river between stations was taken as the indicator of connectivity between stations. For each input time, an independent GCN was used to capture the spatial relationship between stations, and then the temporal variation characteristics were captured by LSTM. Finally, the multi-step prediction results were obtained by multi-layer perceptron (MLP). The south source of Qiantang River was selected as the research object, multi step prediction experiments were carried out on three water quality prediction tasks of pH, DO and CODMn at 15 monitoring stations in the basin. The results show that in the three water quality prediction tasks, the average percentage error MAPE of GCN-LSTM model compared with LSTM model is decreased by 15.29%, 11.77% and 9.8% respectively. Compared with some classical time series models, the model proposed in this paper can better capture the spatial relationship of watershed water quality, improve the accuracy of water quality prediction and provide a new method for watershed water environment quality prediction. The connections between monitoring points have differences, and using distance to represent the strength of the connections between monitoring points can make water quality prediction results more accurate. [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.)

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.)