Journal
WATER RESOURCES MANAGEMENT
Volume 24, Issue 6, Pages 1089-1105Publisher
SPRINGER
DOI: 10.1007/s11269-009-9487-1
Keywords
Multi-objective optimization method; Time-series; EECC; Haihe river basins
Categories
Funding
- National Basic Research Program of China [2006CB400502]
- Ministry of Education and State Administration of Foreign Experts Affairs, China [B08048]
- Ministry of Education, China [IRT0717]
- Ministry of Education [308012]
Ask authors/readers for more resources
With overly-rapid socio-economic development and population increases, water abstraction for agricultural, industrial and municipal use increases rapidly, while the water left for ecological maintenance decreases greatly. At the same time, large amounts of polluted water are discharged into rivers because purification plants are inadequate or not built in time, causing serious eco-environmental problems in the Haihe river basins which make regional development unsustainable. Estimating eco-environmental carrying capacity related to water is a key to curbing overuse of water and resolving eco-environmental problems. Because of different trends in water resources development and resultant eco-environmental problems in different sub-basins of the Haihe river, there are different water-related eco-environmental carrying capacities (EECCs) in these sub-basins. Time-series and multi-objective optimization methods are used to determine the EECC in various eco-environmental regions of the Haihe river basins, China. The results show that the entirety of the Haihe river basins will not reach a stable, sustainable state until about 2033, through gradual amelioration of eco-environmental problems. The various eco-regions of the sub-basins will need different lengths of time to reach their own stable states because of different available water resources, eco-environmental problems and social and economic development.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available