A Coupled Water Quantity–Quality Model for Water Allocation Analysis (original) (raw)
Abstract
As the demand for water continuously increases with population growth and economic development, the gap between water supply and demand in China has become increasingly wide. In recent years worsening water pollution has caused this gap to become much more serious. Conventional allocation pattern, which mainly considers water quantity as the key factor, is no longer satisfying the water allocation need. A coupled water quantity–quality model in a river basin is presented in this paper to provide a tool for water allocation schemes analysis. The pollutants transport and hydrological cycling processes in a river basin are involved in the model. A river network is divided into different reaches. According to the division of river network, the areas out of the river are divided into a series of tanks. In each tank, hydrologic processes, pollutant loading production, water demand of users and water supply are calculated. In river network, hydrodynamics processes and water quality are simulated. Water quantity and quality exchanges between each tank and river are also considered. The time step of water quality calculation is 24 h, the same with that of water quantity calculation. In each time step period, the connections of river reaches and tanks are realized through the exchange of water quantity and quality between rivers and tanks: pollutants discharge from tanks to rivers and water intake from rivers to satisfy water demand in tanks. The water use in each tank includes three types: domestic, industrial and agricultural water use. Water allocation schemes are one of the input conditions of the model. Using the proposed model, in each tank, water demand and deficit of different uses, in both water quantity and quality, can be obtained under different water allocation schemes. According to the water deficit, water allocation schemes are analyzed to make proper allocation schemes. In this aspect, the proposed model can also be thought as a water allocation model. The model is tested and applied to the Jiaojiang River basin, Zhejiang Province, China, to analyze the different water resource allocation schemes.
Access this article
Subscribe and save
- Starting from 10 chapters or articles per month
- Access and download chapters and articles from more than 300k books and 2,500 journals
- Cancel anytime View plans
Buy Now
Price excludes VAT (USA)
Tax calculation will be finalised during checkout.
Instant access to the full article PDF.
Similar content being viewed by others
References
- Abolpour B, Javan M et al (2005) Water allocation improvement in river basin using adaptive neural fuzzy reinfourcement learning approach. Appl Soft Comput 7(2007):265–285
Google Scholar - Cao Q (2005) A water quantity and quality model of optimal water allocation based on green benefit. Water resource and hydropower engineering. Zhengzhou University, Zhengzhou, Master, p 70
- Dolan LS, Deluca DK (1993) Use of a hydrological model in a Basin-wide water allocation proceeding. Water Resour Bull 29(1):107–117
Google Scholar - Griggn S, Brgson MC (1975) Interactive simulation for water system dynamics. J Urban Plann Dev Div 101(1):77–92
Google Scholar - Guo YY (1997) Irrigation and drainage. China Water Power Press, Tinajin
Google Scholar - Haimes YY (1977) Hierarchical analysis of water resources systems: modeling and optimization of large scale systems. McGraw-Hill, New York, pp 1–10
Google Scholar - Haimes YY, Hall WA et al (1972) Multiobjective optimization in water resources systems: the surrogate worth trade off method. Elesvier, New York
Google Scholar - Lin R, Liang Y et al (2006) Characteristics of dry matter accumulation and partitioning in the process of yield formation in different rice cultivate. Chin Agric Sci Bull 22(2):185–190
Google Scholar - Rosegrant MW, Ringler C et al (2000) Intergrated economic hydrologic water modeling at the Basin scale: the Maipo River Basin. Agric Econ 15(3):33–46
Google Scholar - Sang S (2005) Simulation-optimaization method for crop irrigation scheduling with limited water supply. Journal of Tsinghua University (Sci&Tech) 45(9):1179–1183
Google Scholar - Vijay PS (1995) Computer models of watershed hydrology. Water Resource, Los Angeless
Google Scholar - Wang J, Huanjia C et al (2002) The Estimation of evaportranspiration with penman-monteith and evaporator methods. Agric Res Arid Areas 20(4):67–71
Google Scholar - Wu W, Zheng D et al (2002) Simulating the dynamics of dry matter and N, P2O5, K2O accumulation of cotton in South Xinjiang. Acta Agric Boreali-occidentalis Ainica 11(1):92–96
Google Scholar - Zao B, Dong ZC et al (2004) Allocation model of regional water supply in different quality. Yangtze River 35(2):21–31
Google Scholar - Zhang Y (2005) Simulation of open channel network flows using finite element approach. Commun Nonlinear Sci Num Simul 10:467–478
Article Google Scholar - Zhao RJ (1992) The Xinanjiang model applied in China. J Hydrol (Amst) 135:370–381
Google Scholar - Zhao RJ (1993) A non-linear system model for basin concentration. J Hydrol (Amst) 142:477–482. doi:10.1016/0022-1694(93)90024-4
Article Google Scholar - Zhao RJ, Zhuang YL et al (1980) The Xinanjiang model. In: Hydrological forecasting proceedings Oxford symposium, IAHS
Author information
Authors and Affiliations
- School of Resource and Environmental Science, Wuhan University, Wuhan, China
Wanshun Zhang, Yan Wang & Yiting Li - School of Water Resources and Hydropower, Wuhan University, Wuhan, China
Hong Peng - Zhejiang Design Institute of Water Conservancy and Hydroelectric Power, Hangzhou, China
Jushan Tang - HydroQual, Inc., 1200 MacArthur Blvd., Mahwah, NJ, 07430, USA
K. Benjamin Wu
Authors
- Wanshun Zhang
- Yan Wang
- Hong Peng
- Yiting Li
- Jushan Tang
- K. Benjamin Wu
Corresponding author
Correspondence toWanshun Zhang.
Rights and permissions
About this article
Cite this article
Zhang, W., Wang, Y., Peng, H. et al. A Coupled Water Quantity–Quality Model for Water Allocation Analysis.Water Resour Manage 24, 485–511 (2010). https://doi.org/10.1007/s11269-009-9456-8
- Received: 27 August 2008
- Accepted: 11 May 2009
- Published: 27 May 2009
- Issue date: February 2010
- DOI: https://doi.org/10.1007/s11269-009-9456-8