Modeling for Optimal Management of Agricultural and Domestic Wastewater Loading to Streams

Modeling for Optimal Management of Agricultural and Domestic Wastewater Loading to Streams
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农业和生活污水流入河流的优化管理建模

DOI:
10.1029/94wr02980
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发表时间:
1995
影响因子:
5.4
通讯作者:
R. Peralta
R. Peralta
中科院分区:
地球科学1区
文献类型:
--
作者:
M. Ejaz;R. Peralta

文献摘要

被引文献

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模拟(优化(S/O)模型,以帮助管理多目标废水负荷流,同时保持足够的下游水质。相互冲突的目标是最大限度地增加人类和奶牛的数量,从这些数量中处理后的废水可以排放到河流系统。非工业城市(家庭)废水在作为稳定的点源进入之前,经过污水处理厂(STP)的一级和二级处理。乳品废水在作为受控的稳定扩散源进入流之前通过漫流(OLF)土地处理进行处理。最大的双源加载策略,不降低下游水质超过规定的限制。对于每个计算的加载策略,还确定最优OLF系统设计。E约束方法用于获得非劣解集。以图形方式表示非劣效解决方案集,以显示可维持的人和牛种群之间的权衡。每组都是针对不同的上游流速进行计算的,以说明对不确定的上游流速的敏感性。所利用的非线性约束条件限制下游5天生化需氧量、溶解氧、氮(有机物、氨、亚硝酸盐和硝酸盐)、有机物和溶解磷以及叶绿素a的浓度。通过回归方程描述浓度。新的回归表达式,替代复杂的对流色散方程,允许快速和可行的解决方案,这个独特的S/O模式。
A simulation(optimization (S/O) model to aid managing multiobjective wastewater loading to streams while maintaining adequate downstream water quality is presented. The conflicting objectives are to maximize the human and dairy cattle populations from which treated wastewater can be discharged to the river system. Nonindustrial municipal (domestic) wastewater undergoes primary and secondary treatment by a sewage treatment plant (STP) before entering as a steady point source. Dairy wastewater is treated by overland flow (OLF) land treatment before entering the stream as a controlled steady diffuse source. Maximum dual-source loading strategies which do not degrade downstream water quality beyond specified limits are developed. For each computed loading strategy, an optimal OLF system design is also determined. The E constraint method is used to obtain sets of noninferior solutions. Sets of noninferior solutions are represented graphically to show the trade-off between human and bovine populations that can be maintained. Each set is computed for a different upstream flow rate to illustrate sensitivity to nondeterministic upstream flow rates. The nonlinear constraints utilized restrict downstream concentrations of 5-day biochemical oxygen demand, dissolved oxygen, nitrogen (organic, ammonia, nitrite, and nitrate), organic and dissolved phosphorus, and chlorophyll a. Concentrations are described via regression equations. The new regression expressions, surrogates for the complex advective-dispersive equation, permit rapid and feasible solutions by this unique S/O model.