contributor author | René A. Camacho; Zhonglong Zhang; Xiaobo Chao | |
date accessioned | 2019-03-10T12:11:10Z | |
date available | 2019-03-10T12:11:10Z | |
date issued | 2019 | |
identifier other | %28ASCE%29HE.1943-5584.0001723.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4255043 | |
description abstract | Water quality models are critical tools for the development of total maximum daily loads (TMDLs) and for the evaluation of water quality management alternatives by stakeholders and state environmental protection agencies. Currently there is a large availability of water quality models that can be used to support TMDL studies, and the selection of a particular model requires a good understanding of the model limitations, capabilities, and data requirements. The ASCE/Environmental and Water Resources Institute (EWRI) TMDL Analysis and Modeling Task Committee was established in part to produce guidance documentation to help modelers to identify and implement existing modeling approaches to address some of the most important causes of water quality impairment in the United States, including eutrophication, toxic chemicals, and metals. This paper presents a review of existing mathematical models to evaluate eutrophication processes, including carbon and nutrient cycling, phytoplankton dynamics, and dissolved oxygen availability, as well as a review of mathematical models to simulate the fate and transport of toxic chemicals and mercury. The paper also discusses the main capabilities and limitations of 11 widely used water quality models in the United States. Modelers can use this information to support more informed model selections and to facilitate an effective and successful application of models in TMDL studies. | |
publisher | American Society of Civil Engineers | |
title | Receiving Water Quality Models for TMDL Development and Implementation | |
type | Journal Paper | |
journal volume | 24 | |
journal issue | 2 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0001723 | |
page | 04018063 | |
tree | Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 002 | |
contenttype | Fulltext | |