Regional Water Resources Allocation Research Articles

Study on Coupling Mechanism of Carbon-Water Symbiosis System and Regulation and Control of Water Resources in the Context of Regional Collaborative Development

In the aspect of theoretical research, the regional carbon-water coupling mechanism has not yet formed a complete conceptual framework, so there is an urgent need to build an academic system of the carbon-water coupling under a unified physical device. Therefore, based on the overall identification of the coupling mechanism of the water cycle and carbon balance, this paper systematically analyses the characteristics of carbon capture and release in the process of water resources and energy development, puts forward the connotation, symptoms and overall tasks of water resources allocation based on low-carbon development model, and constructs a technical framework supported by regional carbon-water coupling simulation and water resources allocation. The critical technical issues such as water resources allocation, model construction process, countermeasures and safeguard measures based on the low-carbon model. The safety early warning model of water quality and quantity in regional carbon-water symbiosis system is put forward, which provides a method reference for the regulation and control of local water resources.

Estimation of summer maize evapotranspiration using MARS model in the semi-arid region of northwest China

Evapotranspiration (ET) is a crucial parameter of agricultural water management, and its accurate estimation is of great significance to implement precision irrigation and optimal allocation of regional water resources. This study investigated the efficiency of the multivariate adaptive regression splines (MARS) model for estimating daily ET of summer maize under twelve input combinations, including complete and incomplete meteorological factors and crop growth indicators for the period 2011–2013. The performance of the MARS model was compared with the empirical Priestley-Taylor (P-T), Shuttleworth-Wallace (S-W) and Two-Patch (T-P) models as well as the back-propagation neural networks (BPNN) model. The optimal MARS and BPNN models achieved better ET prediction than the optimal empirical models at each growth stage.The MARS model was superior to the BPNN model at all growth stages in terms of mean absolute error: seedling emergence to tasseling (0.8476 mm/d vs. 0.9833 mm/d), tasseling to grouting (0.6777 mm/d vs. 0.7162 mm/d), grouting to harvest (0.3342 mm/d vs. 0.4336 mm/d) and the entire growth period (0.8752 mm/d vs. 0.9577 mm/d). Generally, the MARS model outperformed the BPNN model and empirical models at all growth stages, indicating that the optimal MARS models accurately modeled the complex nonlinear relationships between ET and the meteorological factors and crop growth indicators. The MARS model is thus highly recommended for estimating ET during the entire growth period of summer maize in the semi-arid regions when lack of adequate meteorological factors or crop growth indicators.

Evaluating the value of ecological water considering water quality and quantity simultaneously

AbstractThis study applies a choice experiment to evaluate the value of ecological water and investigate public preferences in the Shiyang River Basin, which is an ecologically fragile region in China. The four ecological attributes were ecological water quantity in the upper sub‐basin, ecological water quantity in the middle sub‐basin, ecological water quantity in the lower sub‐basin, water quality in Hongyashan Reservoir. The results show that water quality was the most preferred attribute among all the chosen attributes, and public prefer the increase of the ecological water quantity in the lower sub‐basin. In addition, it was concluded that increases of 40 million m3 and 60 million m3 of the ecological water quantity in the middle and lower sub‐basins, respectively, with the ecological water quality improved from Class IV to III, would be worth 2.82 billion RMB. The research findings are expected to support strategies for regional water resources allocation as well as help to understand public support for the policy.

Prediction of Daily Water Consumption of Residential Communities Based on Correlation Analysis and BP Neural Network

In recent years, with the rapid development of cities, water resources are becoming increasingly scarce. Reasonable prediction of community water use is an important basis for regional water resources allocation, effective management of water resources and water conservation. The prediction model of BP neural network based on correlation analysis is established. Firstly, the influence factors of water consumption are analyzed by the correlation analysis theory, the influence size is sorted, and then the partial autocorrelation theory is used to analyze the daily water flow sequence, and the optimal delay time is determined, and then the input variables are determined. Then the BP neural network model is used to predict the water consumption of the community. Finally, the BP neural network model based on the correlation analysis is compared with the other models. The results show that the average error of forecasting model for residential community water consumption is 2.21% and the maximum relative error is 6.87%. Compared with the BP neural network model without correlation analysis and the least squares support vector machine model, the error is the smallest.

Research on the development and utilization mode of mine water resources

China’s mine water comprehensive utilization rate is low. The main reason for the increase in the utilization rate after 2015 is the reduction in coal production. The shutdown of a large number of coal mines by capacity has objectively led to a reduction in mine water volume. Based on the development and utilization of mine water, this paper clarifies the characteristics of mine water utilization mode, and discusses the classification of mine water utilization mode and suggestions for safeguard measures in terms of mine water utilization targets and treatment difficult. The research undertook in this paper will expand the utilization of mine water and improve the utilization rate of mine water. It will help enterprises realize the transformation of mine water into waste and realize the value-added effect of mine water. It is desirable for the unconventional water resources will be integrated into the water source. It can help ease the contradiction between water supply and demand in water shortage areas and improve the efficiency and utilization efficiency of regional water resources allocation.

Does Information Asymmetry Impact Sub-Regions' Cooperation of Regional Water Resource Allocation?

Water resources allocation is an urgent problem for basin authorities. In order to obtain greater economic benefits from limited water supplies, sub-regions must cooperate with each other. To study the influence of cooperation among sub-regions and the symmetry of cooperation information on the interests of the basin authority and each sub-region, this study proposes a regional water allocation model in three different situations: (1) non-cooperation; (2) cooperation and information symmetry; (3) cooperation and information asymmetry. The proposed model clearly reflects the Stackelberg game relationship between the basin authority and sub-regions. Finally, the model is applied to the Qujiang River Basin in China, and the decisions of the basin authority and sub-regional managers of the Qujiang River Basin under three different situations are discussed. The results show that regional cooperation benefits both the cooperative regions and the social welfare value of the entire river basin, when compared with non-cooperation.

Optimal allocation of water resources through artificial fish swarm algorithm: A case study in Haixing, China

North China is a typical developing region where the conflict between large water demand and little natural water resources exist. Thus, scientifically optimizing the allocation of regional water resources is particularly significant in this area. In this study, Haixing County, China was selected as the research region. Then, regional optimization model of water resource allocation was established, of which the objective function aims at the maximum integrated benefit of regional social and economy. In this model, two forbidden red lines of water use amount and water use efficiency were considered as the constraints, and Artificial Fish Swarm Algorithm was applied to calculate the optimization of water resource allocation. In 2020, the p = 50% total water shortage is forecast as 0.747 × 106 m3 or 2.1%. The results show that the efficiency and benefits have been improved, which illustrates that the optimization allocation of water resources through Artificial Fish Swarm Algorithm is reasonable. The research could provide a crucial technical support for regional water resource management.

Temporal-Spatial Distribution Characteristics and Influencing Factors of Regional Agricultural Water Requirement Indicators

AbstractThe temporal-spatial distribution of agricultural water requirements constitutes an important basis for the optimal allocation of regional irrigation water resources. The primary crops (ric...

Discussion on the concept and definition of mine water

The definition of mine water related concepts involves 6 relevant standards in 6 sectors, 2 mandatory standards, 3 recommended standards, and 1 industry standard. Multi-sectors are inconsistent in the concept and definition of statistical caliber, and the concept of policy is confusing during the formulation and implementation of relevant policy documents, resulting in large errors in statistical data. This paper is based on the analysis of the concept of mine water and the integration of doubts. In conjunction with the relevant requirements of the “Guiding Opinions of the Ministry of Water Resources on the Unconventional Water Sources incorporated into the Unified Allocation of Water Resources”, Conceptual definition of regular mine water quantity, mine water availability, mine water development and utilization, and mine water development and utilization potential, unify the statistical caliber of each department and minimize the difference in statistical data. It is conducive to water resources investigation and management, which are conducive to the integration of unconventional water resources into water resources, alleviating the contradiction between water supply and demand, and improving regional water resource allocation efficiency and utilization efficiency.

Simulation of Water Resources Carrying Capacity in Xiong’an New Area Based on System Dynamics Model

In order to comprehensively evaluate the water resources carrying capacity in Xiong’an New Area, a system dynamics (SD) model was established to evaluate the regional water resources carrying capacity, for which several scenarios were designed: the original development scenario, the accelerated industrialization scenario, the environmental governance scenario, and the optimization development scenario. The results show that, compared with the original development scenario, the water resources carrying capacity in Xiong’an New Area can be improved in other scenarios, but a water supply and demand gap will be generated due to the lack of groundwater overdraft and a water transfer project. In 2026, under the accelerated industrialization scenario, the population carrying capacity will be 2.652 million, and the water supply and demand gap will be 1.13 × 108 m3; under the environmental governance scenario, the population carrying capacity will be 2.36 million, and the water supply and demand gap will be 0.44 × 108 m3; under the optimal development scenario, the population carrying capacity will be 2.654 million, and since the supply of water resources will be greater than the demand, there will not be a gap between supply and demand, making it the most feasible scenario to effectively alleviate the tension between industry restructuring, environmental management, and water resources development and utilization. The findings of this study can provide reference and decision support for optimizing regional water resources allocation and enhancing water resources carrying capacity in Xiong’an New Area.

Preliminary Study on the Water Quality Standard of Mine Water Discharge in China

The requirements of mine drainage water quality indicators in China involve 6 relevant standards of 4 ministries, which four standards are mandatory standards One is recommended standards and one is occupation standard. During the implementation period of the many ministries standards, their “mandatory” has not been fully reflected. There are differences among the 6 requirements of mine drainage water quality, such as a different quantity of water quality indicators, non-corresponding indicators and different limit values of indicators. We analyzed of 6 standards of mine water quality index, this paper tries to perfect the current mine water drainage index requirements and construct the standard system of mine water drainage in China, so as to achieve the goal of mine water discharge and gradually implement “zero discharge”. These will contribute to realize the transformation of mine water into waste and integrate unconventional water resources into water resources for unified allocation. These will alleviate the contradiction between supply and demand of water resources, and improve the efficiency and efficiency of regional water resources allocation.

A copula-based interval-bistochastic programming method for regional water allocation under uncertainty

In regional water resources allcoation problems, the uncertainties of hydrological variables and socio-economic parameters are bringing huge challenges to water managers. So far, the stochastic programming models have difficulty in addressing uncertain problems, in which there are two correlated random variables. In order to address regional water resources allocation under two hydrological random variables and interval parameters, a couple-based interval-bistochastic programming (CIBSP) method is proposed. The CIBSP method includes several key steps: first, the marginal distributions of the two hydrological variables are analyzed and hydrological scenarios are set; then, the copula is chosen to analyze joint probability distribution of the two hydrological variables and the joint probabilities of scenarios are calculated; last, an interval-bistochastic model is formulated by incorporating two-stage stochastic programming, interval-parameter programming, and bivariate joint distribution. The CIBSP method can describe the probability of occurrence of a hydrological scenario and then make an optimized water allocation scheme under uncertainties. To demonstrate its applicability, the CIBSP method is applied to the Zhanghe Irrigation District located in China, to optimize available water allocation under the uncertainties of the annual inflow volume of the Zhanghe Reservoir and annual rainfall volume in the irrigated district. An appropriate water allocation plan can be obtained by the method, which provides a foundation to water managers for managing water resources in Zhanghe Irrigation District. Moreover, other two hypothetical situations named independence hypothetical situation and linear relationship hypothetical situation are discussed. The difference in the results between the two hypothetical situations and the case study indicates that an appropriate description of the joint probability of the annual inflow volume and annual rainfall volume by using CIBSP method is important for water resource allocation under uncertainties.

A grain size and n-alkanes record of Holocene environmental evolution from a groundwater recharge lake in Badain Jaran Desert, Northwestern China

Vertical water transport plays an important role in the development and maintenance of lakes in arid zones. However, previous study of this phenomenon has focused mainly on the effects of regional precipitation, rather than effects of groundwater recharge, on arid-zone environmental change. We selected a sedimentary profile from a seasonal lake basin located in the hinterland of the Badain Jaran Desert, northwestern China, to assess the Holocene environmental evolution of this region and its response to climate change. Our results show that peat deposition from 11 to 10 ka indicates humidification after Younger Dryas (YD) event; the lake sediment and lower EM2 and lower principal component analysis (PCA)-1 scores indicate relative more humid environment from 10 to 7.8 ka; the lake sediment and higher EM2 and higher PCA-1 scores indicate most humid environment from 7.8 to 5.8 ka; the transition from lacustrine facies to limnetic facies and increasing salinity indicate drying trend from 5.8 to 2.5 ka; the aeolian sand sediment and lowest EM2 and lowest PCA-1 scores indicate driest environment from 2.5 to 0.8 ka; and lacustrine facies and finest grain size indicate relative humid environment during the ‘Little Ice Age’ period. The environment was relative humid in early Holocene, most Humid in mid-Holocene, and dry in mid-late Holocene. The moisture pattern in the hinterland of the Badain Jaran Desert was synchronous with that in the northeastern of Tibetan Plateau, which implies that the groundwater recharge lake was dominated by the intensity of groundwater recharge from monsoon margin area, especially the northeastern of Tibetan Plateau. As a record from groundwater recharge lake without runoff, our study provides the groundwater output quantity record from northeastern of Tibetan Plateau and would benefit the environment change research and regional water resources allocation around the Tibetan Plateau.

Study on Management System of Inter-Basin Water Diversion Project –A Case Study of the Project of Drawing Water from Datong River into Huangshui River

Inter-basin water diversion projects are a major way to redress demand-supply imbalance of water resources among regions and realize rational allocation and effective utilization of regional water resources. A scientific management system of inter-basin water diversion projects is the basis to ensure the project’s smooth progress and maximize its integrated efficiency. Basic principles for building of the management system for inter-basin water diversion projects are clearly defined herein, and an advisable plan for building of the management system for the project of diverting water from Datong River to Huangshui River (hereinafter referred to as Datong-Huangshui Water Diversion Project) is proposed to provide reference for the government in decision-making of the management system for this water diversion project.

Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of Tianjin, China

Environmental and ecological issues caused by water resources crisis have brought enormous challenges to the sustainable development of water-deficient area. Water resources allocation management balancing the relationship between the social-economic development and the ecological environment has become a hot topic in recent years. In this paper, an inexact fuzzy chance-constrained programming (IFCCP) approach is proposed for regional water resource allocation optimization with the aim of promoting the harmonious development of the social economic and the ecological environment, improving water utilization efficiency, and realizing water resources consumption control under uncertainties. The method is incorporated with interval parameter programming, fuzzy programming, and chance-constrained programming, for handling system uncertainties and balancing the optimal objectives with the risk of violating system constraints. Under this framework, an IFCCP model for water resources allocation management was successfully formulated and applied to a typical water-deficit area, Tianjin, China, for obtaining a better water resources plan among multiple users under resources and environmental limitation. Different total water consumption control policies are designed for assessing regional water allocation schemes. The results indicated that the gap of supply and demand will only be solved by foreign water, the transferred water from Luan River and Changjiang River would still be the main supplier in planning horizon. Moreover, the strict total water consumption control policy would guarantee the water requirement of ecological environment, lead to changes in the structure of water supply, actively guide on water conservation, and promote the large-scale utilization of desalted water and recycle water.

Inexact stochastic optimization model for industrial water resources allocation under considering pollution charges and revenue-risk control

In this study, an inexact two-stage stochastic downside risk-aversion programming is developed for regional industrial water resources allocation under considering system return-risk and various environment control strategies. In the model, interval-parameter programming, two-stage stochastic programming, and downside risk measure are introduced into an integrated framework for reflecting the complexity and uncertainty of industrial system, and avoiding the expected revenue risk. The method could not only reflect industrial water resources allocation characteristic among multiple users and suppliers, but also provide an effective linkage between economic cost and the system stability. The model is applied to a real case of industrial water resources allocation management in Chongqing city, China, where regional industrial system has faced with lots of difficulties and complexities in water resources utilization and water environmental protection. The impact of pollutants emission reduction and risk-aversion attitude on water resources allocation for different industry sectors, system benefits, and pollutants emissions were analyzed. The results indicated that the total pollutants emission amount control and the expected revenue risk can be used as effective measures for regional industry structure adjustment from terminal environmental and macro-economic perspective. The model has a significant value for regional industrial water optimization allocation under uncertainty to achieve the maximum economic benefits and the effective utilization of multiple water resources.

The improved bankruptcy method and its application in regional water resource allocation

A relatively simple but effective approach to water allocation is required for governors to deal with more severe and frequent water shortage problems. In this study, an improved bankruptcy method was developed to conveniently allocate water resources among riparian areas. Users’ contributions to total water resources, their water-use efficiencies, and the minimum satisfied water demand were included in the bankruptcy method and used to adjust water allocation results. Additionally, contribution and efficiency factors were assigned different weight coefficients to determine how these factors influence the allocation results in a region-specific manner. The impact of minimum satisfied water demand on the final water allocation results was also evaluated. This proposed method was applied in the Dongjiang River basin, South China. The results showed that: (1) cities will be assigned with different allocation priority based on considered factors; (2) cities react with different sensitivities and changing directions under the altering of weight coefficients of contribution and efficiency factors, resulting in diverse but finite adjustable ranges of the final allocation results; and (3) higher minimum satisfied water demand reduced the allocation differences among cities. The improved method yields reasonable and flexible allocation solutions to meet requirements of complex water allocation problems, and shows promise for future application to more regions.

Research on Optimal Water Allocation Based on Water Rights Trade under the Principle of Water Demand Management: A Case Study in Bayannur City, China

In water shortage regions, water rights trading would be much useful for increasing water use inefficiency through changing users’ water demand. In this study, a water optimal allocation modelling system is proposed by considering water rights trading and other governmental policies such as water prices, water savings and industrial policies. An agent-based model was developed to describe the behaviors and goals of individual agents using complex adaptive system theory, information transfers, and functional mechanisms between agents. The developed model was applied to Bayannur City, which suffers from severe water shortages. The water prices for different industries, the water rights transaction price, and the behaviors of various agents in 2020 were forecasted. The results reveal that the water resources optimal allocation model applied in this study can help realize the reasonable allocation of regional water resources under limited water supply. It is also valuable to guide the government in making water resources allocation policies and provide a practical reference for the formulation and adjustment of a water market transaction price.

The use of an integrated variable fuzzy sets in water resources management

Abstract. Based on the evaluation of the present situation of water resources and the development of water conservancy projects and social economy, optimal allocation of regional water resources presents an increasing need in the water resources management. Meanwhile it is also the most effective way to promote the harmonic relationship between human and water. In view of the own limitations of the traditional evaluations of which always choose a single index model using in optimal allocation of regional water resources, on the basis of the theory of variable fuzzy sets (VFS) and system dynamics (SD), an integrated variable fuzzy sets model (IVFS) is proposed to address dynamically complex problems in regional water resources management in this paper. The model is applied to evaluate the level of the optimal allocation of regional water resources of Zoucheng in China. Results show that the level of allocation schemes of water resources ranging from 2.5 to 3.5, generally showing a trend of lower level. To achieve optimal regional management of water resources, this model conveys a certain degree of accessing water resources management, which prominently improve the authentic assessment of water resources management by using the eigenvector of level H.

An inexact stochastic optimization model for multi-conflict regional water resources allocation in the south-to-north water benefited area

Abstract The cross-regional water diversion project has been widely applied as an important way to relieve water pressure. Study about the tradeoff between multiple regions and multiple water use sectors has caused widespread concern. In this study, an inexact two-stage water resources management model for multi-region water resources planning with a large-scale water diversion project has been developed. The water sources in 11 districts, including independent water sources and public water sources diverted from the project, are considered in the optimization model. Water supply cost and recourse cost are analyzed in the objective function. Based on interval-parameter programming and two-stage stochastic programming, uncertainties in the water resources system are described by both interval values and probability distributions. The result indicates that the water diversion project would greatly change the composition of the water resource system and settle the uneven distribution of regional water resources to achieve district-optimal allocation of water resources. In general, the proposed method can help decision-makers to formulate water management strategies for rational utilization of all kinds of water resources in different regions.