scholarly journals The optimal allocation of water resources oriented to prioritizing ecological needs using multiple schemes in the Shaying River Basin (Henan Section), China

Author(s):  
Hang Li ◽  
Xiao-Ning Qu ◽  
Jie Tao ◽  
Chang-Hong Hu ◽  
Qi-Ting Zuo

Abstract China is actively exploring water resources management considering ecological priorities. The Shaying River Basin (Henan Section) serves as an important grain production base in China. However, conflicts for water between humans and the environment are becoming increasingly prominent. The present study analyzed the optimal allocation of water while considering ecological priorities in the Shaying River Basin (Henan Section). The ecological water demand was calculated by the Tennant and the representative station methods; then, based on the predicted water supply and demand in 2030, an optimal allocation model was established, giving priority to meeting ecological objectives while including social and comprehensive economic benefit objectives. After solving the model, the optimal results of three established schemes were obtained. This revealed that scheme 1 and scheme 2 failed to satisfy the water demand of the study area in 2030 by only the current conditions and strengthening water conservation, respectively. Scheme 3 was the best scheme, which could balance the water supply and demand by adding new water supply based on strengthening water conservation and maximizing the benefits. Therefore, the actual water allocation in 2030 is forecast to be 7.514 billion (7.514 × 109) m3. This study could help basin water management departments deal with water use and supply.

2013 ◽  
Vol 448-453 ◽  
pp. 995-1001
Author(s):  
Ning Na Wang ◽  
Qin Lin Zhou

An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.


2012 ◽  
Vol 518-523 ◽  
pp. 4165-4170
Author(s):  
Xiao Yu Song ◽  
Huai You Li ◽  
Wen Juan Shi

In this paper, based on the fact of water resources shortage, environmental degradation in Chanba River basin, using multi-objective optimization theory, we established the ecology-oriented water resources optimal allocation model and achieved the coupling between water quantity and quality. According to supply and demand of water resources in two levels of years (2020, 2030) and the guaranteed rate 75%, developed model parameters (coefficients), called the optimization function to solve it. The model is applied to Chanba River basin, indicating that the model is reasonable, efficient algorithms The optimal allocation model and the results reflect the concept of sustainable development for ecological, economic efficiency and help to improve water supply reliability, the sustainable use of water resources planning and management provides a basis for decision making.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Tian ◽  
Shenglian Guo ◽  
Lele Deng ◽  
Jiabo Yin ◽  
Zhengke Pan ◽  
...  

AbstractGlobal warming and anthropogenic changes can result in the heterogeneity of water availability in the spatiotemporal scale, which will further affect the allocation of water resources. A lot of researches have been devoted to examining the responses of water availability to global warming while neglected future anthropogenic changes. What’s more, only a few studies have investigated the response of optimal allocation of water resources to the projected climate and anthropogenic changes. In this study, a cascade model chain is developed to evaluate the impacts of projected climate change and human activities on optimal allocation of water resources. Firstly, a large set of global climate models (GCMs) associated with the Daily Bias Correction (DBC) method are employed to project future climate scenarios, while the Cellular Automaton–Markov (CA–Markov) model is used to project future Land Use/Cover Change (LUCC) scenarios. Then the runoff simulation is based on the Soil and Water Assessment Tool (SWAT) hydrological model with necessary inputs under the future conditions. Finally, the optimal water resources allocation model is established based on the evaluation of water supply and water demand. The Han River basin in China was selected as a case study. The results show that: (1) the annual runoff indicates an increasing trend in the future in contrast with the base period, while the ascending rate of the basin under RCP 4.5 is 4.47%; (2) a nonlinear relationship has been identified between the optimal allocation of water resources and water availability, while a linear association exists between the former and water demand; (3) increased water supply are needed in the water donor area, the middle and lower reaches should be supplemented with 4.495 billion m3 water in 2030. This study provides an example of a management template for guiding the allocation of water resources, and improves understandings of the assessments of water availability and demand at a regional or national scale.


Water Policy ◽  
2006 ◽  
Vol 8 (2) ◽  
pp. 97-110 ◽  
Author(s):  
Can Wang ◽  
Camilla Dunham Whitehead ◽  
Jining Chen ◽  
Xiaomin Liu ◽  
Junying Chu

Beijing is facing the considerable challenge of water shortage, as it is just able to meet current water demand in a year with average precipitation and a shortfall between water supply and demand is estimated to be around 1.8 billion[109] cubic meters (BCM) by 2010. Aiming to find the solution to such a severe challenge, this paper investigates Beijing's current and future water resources availability and water-use configurations, as well as past and current effort on both areas of water supply and demand. The analysis shows a continuously growing demand for water and an aggravating deficit of traditionally available water resources. The paper concludes that it is necessary to establish well-structured water-use data and employ more advanced forecasting methods if sound future decisions regarding water balance are expected to be made. In order to realize Beijing Municipality's full urban water conservation potential, it is suggested that a comprehensive and integrated long-term conservation program be implemented, which is technically feasible and economically justified, to conserve water consistently for many years.


2012 ◽  
Vol 58 (4) ◽  
pp. 41-48
Author(s):  
Jan Thomas ◽  
Miroslav Kyncl ◽  
Silvie Langarová

Abstract Periods of drought represent a serious problem in the management of water resources. Currently used climatic models assume the onset of major climatic changes and periods of drought. Irrespective of whether the forecasts will be fulfilled or not, it is essential to prepare measures to ensure the supply of drinking water in dry periods. This paper deals with the preparation of water balances for the areas of the Odra and Morava River basins and the prediction of relationships between water supply and water demand in the given area.


Author(s):  
Zheng Wang ◽  
Yue Huang ◽  
Tie Liu ◽  
Chanjuan Zan ◽  
Yunan Ling ◽  
...  

Lower reaches of the Amu Darya River Basin (LADB) is one of the typical regions which is facing the problem of water shortage in Central Asia. During the past decades, water resources demand far exceeds that supplied by the mainstream of the Amu Darya River, and has resulted in a continuous decrease in the amount of water flowing into the Aral Sea. Clarifying the dynamic relationship between the water supply and demand is important for the optimal allocation and sustainable management of regional water resources. In this study, the relationship and its variations between the water supply and demand in the LADB from the 1970s to 2010s were analyzed by detailed calculation of multi-users water demand and multi-sources water supply, and the water scarcity indices were used for evaluating the status of water resources utilization. The results indicated that (1) during the past 50 years, the average total water supply (TWS) was 271.88 × 108 m3/y, and the average total water demand (TWD) was 467.85 × 108 m3/y; both the volume of water supply and demand was decreased in the LADB, with rates of −1.87 × 108 m3/y and −15.59 × 108 m3/y. (2) percentages of the rainfall in TWS were increased due to the decrease of inflow from the Amu Darya River; percentage of agriculture water demand was increased obviously, from 11.04% in the 1970s to 44.34% in 2010s, and the water demand from ecological sector reduced because of the Aral Sea shrinking. (3) the supply and demand of water resources of the LADB were generally in an unbalanced state, and water demand exceeded water supply except in the 2010s; the water scarcity index decreased from 2.69 to 0.94, indicating the status changed from awful to serious water scarcity. A vulnerable balanced state has been reached in the region, and that water shortages remain serious in the future, which requires special attention to the decision-makers of the authority.


2020 ◽  
Vol 20 (7) ◽  
pp. 2903-2914
Author(s):  
Fanxiang Meng ◽  
Linqi Li ◽  
Tianxiao Li ◽  
Qiang Fu

Abstract Water conservation is a strategic choice for sustainable societal development. Rational planning and allocation of water resources is an effective way to improve the efficiency of water resource utilization. Taking Harbin as an example, this paper constructs a linear fractional programming model based on chance-constrained programming. The model can reflect the randomness of water inflow under different climatic conditions while taking into account the interests of different decision makers at the upper and lower levels and the two contradictory objectives of maximizing economic benefits and minimizing water demands to improve water distribution efficiency and reduce the complexity of water resource distribution systems. The results showed that under the three climatic scenarios of RCP4.5, RCP6.0, and RCP8.5, the agricultural water supply accounted for 90.04%, 87.66%, and 84.15% of the total regional water supply, respectively. In the process of building the model, considering the importance of sewage treatment in water safety evaluations, the cost of sewage treatment is included in the upper-level benefits of the model. The sustainable development of water resources should be guaranteed while rationally allocating water resources and pursuing economic benefits.


PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247604
Author(s):  
Min An ◽  
Lijuan Fan ◽  
Jin Huang ◽  
Wenjing Yang ◽  
Hailin Wu ◽  
...  

Climate change, population growth, the development of industrialization and urbanization are increasing the demand for water resources, but the water pollution is reducing the limited water supply. In recent years, the gap between water supply and demand which shows water scarcity situation is becoming more serious. Clear knowing this gap and its main driving factors could help us to put forward water protection measures correctly. We take the data of Huaihe River Basin from 2001 to 2016 as an example and use ecological water footprint to describe the demand, with the water carrying capacity representing the supply. We analyze the water supply-demand situation of Huaihe River Basin and its five provinces from footprint view in time and space. Then we apply the Logarithmic Mean Divisia Index model to analyze the driving factors of the ecological water footprint. The results show that: (1) the supply and demand balance of Huaihe River Basin was only achieved in year 2003 and 2005. There is also a large difference between Jiangsu province and other provinces in Huaihe River basin, most years in Jiangsu province per capital ecological footprint of water is more than 1 hm2/person except the years of 2003, 2015, and 2016. But other provinces are all less than 1 hm2/person. (2) Through the decomposition of water demand drivers, we concluded that economic development is the most important factor, with an annual contribution of more than 60%. Our study provides countermeasures and suggestions for the management and optimal allocation of water resources in Huaihe River Basin, and also provides reference for the formulation of water-saving policies in the world.


Author(s):  
Fang Wan ◽  
Lingfeng Xiao ◽  
Qihui Chai ◽  
Li Li

Abstract With the rapid development of economy and society, the contradiction between supply and demand of water resources is increasing. Efficient utilization and allocation of limited water resources are one of the main means to solve the above contradictions. In this paper, the multidimensional joint distribution of natural streamflow series in reservoirs is constructed by introducing the mixed Copula function, and the probability of wet and dry encounters between natural streamflow is analyzed. Luan River is located in the northeastern part of Hebei Province, China, taking the group of Panjiakou Reservoir, Douhe Reservoir and Yuqiao Reservoir in the downstream of Luan River Basin as an example, the probabilities of synchronous and asynchronous abundance and depletion of inflow from the reservoirs are calculated. The results show that the probability of natural streamflow series between reservoirs is 61.14% for wetness and dryness asynchronous, which has certain mutual compensation ability. Therefore, it is necessary to minimize the risk of water supply security in Tianjin, Tangshan and other cities, and strengthen the optimal joint water supply scheduling of reservoirs. The research results are reasonable and reliable, which can provide reference for water supply operation of other basins.


Sign in / Sign up

Export Citation Format

Share Document