Water quality modeling for load reduction under uncertainty: A Bayesian   approach

doi:10.1016/j.watres.2008.04.007

CORC > 北京大学 > 环境科学与工程学院

	Water quality modeling for load reduction under uncertainty: A Bayesian approach
	Liu, Yong ; Yang, Pinjian ; Hu, Cheng ; Guo, Huaicheng
刊名	水研究
	2008
关键词	Bayesian approach water quality modeling load estimation Markov chain Monte Carlo (MCMC) Hun-Taizi River INVERSE PROBLEM MANAGEMENT COEFFICIENTS FRAMEWORK RIVER
DOI	10.1016/j.watres.2008.04.007
英文摘要	A Bayesian approach was applied to river water quality modeling (WQM) for load and parameter estimation. A distributed-source model (DSM) was used as the basic model to support load reduction and effective water quality management in the Hun-Taizi River system, northeastern China. Water quality was surveyed at 18 sites weekly from 1995 to 2004; biological oxygen demand (BOD) and ammonia (NH4+) were selected as WQM variables. The first-order decay rate (k(i)) and load (L-i) of the 16 river segments were estimated using the Bayesian approach. The maximum pollutant loading (L-m) of NH4+ and BOD for each river segment was determined based on DSM and the estimated parameters of k(i). The results showed that for most river segments, the historical loading was beyond the L-m threshold; thus, reduction for organic matter and nitrogen is necessary to meet water quality goals. Then the effects of inflow pollutant concentration (Ci-1) and water velocity (v(i)) on water quality standard compliance were used to demonstrate how the proposed model can be applied to water quality management. The results enable decision makers to decide load reductions and allocations among river segments under different Ci-1 and v(i) scenarios. (c) 2008 Elsevier Ltd. All rights reserved.; Engineering, Environmental; Environmental Sciences; Water Resources; SCI(E); EI; PubMed; 32; ARTICLE; 13; 3305-3314; 42
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/158982]
专题	环境科学与工程学院
推荐引用方式 GB/T 7714	Liu, Yong,Yang, Pinjian,Hu, Cheng,et al. Water quality modeling for load reduction under uncertainty: A Bayesian approach[J]. 水研究,2008.
APA	Liu, Yong,Yang, Pinjian,Hu, Cheng,&Guo, Huaicheng.(2008).Water quality modeling for load reduction under uncertainty: A Bayesian approach.水研究.
MLA	Liu, Yong,et al."Water quality modeling for load reduction under uncertainty: A Bayesian approach".水研究 (2008).