Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Zhou, Linfei
- Water Quality Prediction Based on BP Neural Network at Dahuofang Reservoir, China
Abstract Views :137 |
PDF Views:0
Authors
Affiliations
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 14, No 3 (2015), Pagination: 727-732Abstract
To ensure the safety of drinking water, understanding the trends of water quality in water resource and to provide a scientific basis for water quality management, a three-layer BP neural network is selected to simulate and predict six water quality indicators of the outbound of Dahuofang Reservoir. The six water quality indicators are dissolved oxygen, five days' biochemical oxygen demand, permanganate index, ammonia nitrogen, total nitrogen and total phosphorus. Training the model with water quality data from 2005 to 2011, Levenberg-Marguardt optimization algorithm is adopted to train samples. After reaching the error requirement, simulate the model with the water quality monitoring data in 2012 and test the model accuracy. Simulation results show that the accuracy of the model prediction is higher in 2012. It is proved that this model can be used to predict water quality of the outbound mouth in Fushun section, and the model provides a theoretical basis for improving the water quality of the reservoir area and can be used to guide the actual water quality management.Keywords
BP Neural Network, Water Quality Prediction, Simulation Dahuofang Reservoir.- Calculation Method and Example Analysis of Landscape Environmental Water Demand for Medium and Small Rivers in the Northern Cities of China
Abstract Views :109 |
PDF Views:0
Authors
Affiliations
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
1 College of Water Resource, Shenyang Agricultural University, Shenyang, Liaoning, 110866, CN
Source
Nature Environment and Pollution Technology, Vol 15, No 3 (2016), Pagination: 1095-1102Abstract
Meeting landscape environmental water demand is one of the necessary conditions for realizing the stability and sustainablity of landscape environment. According to the characteristics of medium and small rivers in the northern cities, based on the river function, the concept of landscape environmental water demand was proposed, also its calculation method is studied in this paper. The landscape environmental water demand for medium and small rivers in the northern area can be divided into two parts according to the river functional types: environmental water demand and landscape water demand. To environmental water demand, according to river function, hydrological characteristics and water resources in different periods, the method to calculate the water demand by stages is put forward in the paper. Then integrating with landscape water demand, the landscape environmental water demand is calculated. Taking Shenyang Pu River ecological corridor as an example, it is divided into 9 sections combined with practical application and the landscape environmental water demand is calculated by the partition and staging. The results show that the landscape environmental water demand of Pu River ecological corridor is 6749.56×104 m³/year.Keywords
Medium and Small Rivers, Landscape Environmental, Water Demand, Pu River.References
- Gleick, P. H. 1996. Water in crisis: paths to sustainable water use. Ecological Applications, 8(3): 571-579.
- He, J. S., Zhang, G. T. and Wang, W. S. 2011. Utilization of rain and flood resources and river ecological restoration in Pu River basin. China Water & Power Press, Beijing, pp. 14.
- He, J. S., Zhou, F. and Zhang, J. 2013. Ecological regulation divided by seasons in main Liaohe River based on river health. Resources and Environment in the Yangtze Basin, 22(5): 657-662.
- Karim, K., Gubbels, M. E. and Goutler, I. C. 1995. Review of determination of instream flow requirements with special application to Australia. Water Resources Bulletin, 31(6): 1063-1077.
- Ni, J. R., Cui, S. B. and Li, T.R. 2002. On water demand of river ecosystem. Journal of Hydraulic Engineering, (9): 14-19.
- O’Shea, D. T. 1995. Estimating minimum instream flow requirements for Minnesota streams from hydrologic data and watershed characteristic. North American Journal of Fisheries Management, 15(3): 569-578.
- Shang, C.J. and Hao, Z.B. 2011. Study on water conservancy scenic area landscape environmental water demand. Yellow River, 33(3): 46-48.
- Tang, L. 2014. Study on water ecological characteristics and main evaluation factors of medium and small rivers in North Area. Environmental Protection Science, 40(1): 41-45.
- Tennant, D.L. 1976. Instream flow regimes for fish, wildlife, recreation and related environmental resources. Fisheries, 1(4): 6-10.
- Wang, X.Q. 2007. The theory, method and application of river ecological water demand. China Water & Power Press, Beijing, pp.72.
- Willis, K. G. and Garrod, G. D. 1999. Angling and recreation values of low-flow alleviation in rivers. Journal of Environmental Management, 57(2): 71-83.
- Xu, X.Y. and Yang, Z. F. 2003. General discussion on ecological environment water demand. China Water, 3: 12-15.
- Yu, Z. B. and Long, T. Y. 2005. Wang, D. Q. 2005. Study on calculation method of ecological water demand for the landscape. Journal of Chongqing University of Architecture, 27(1): 71-75.
- Zhang, Y., Yang, Z. F. and Wang, X. Q. 2005. Computing method of divisional ecological and environmental water requirement for river channel and its application to the Yellow River basin. Acta Scientiae Circumstantiae, 25(4): 429-435.