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Sustainable management of watersheds...

Utah State University.

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Sustainable management of watersheds considering hydrology, water quality, and economic equity.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sustainable management of watersheds considering hydrology, water quality, and economic equity./
作者:	Khadam, Ibrahim M.
面頁冊數:	177 p.
附註:	Adviser: Jagath J. Kaluarachchi.
Contained By:	Dissertation Abstracts International67-05B.
標題:	Environmental Sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3218490
ISBN:	9780542696763

Sustainable management of watersheds considering hydrology, water quality, and economic equity.
Khadam, Ibrahim M.

Sustainable management of watersheds considering hydrology, water quality, and economic equity. - 177 p.

Adviser: Jagath J. Kaluarachchi.

Thesis (Ph.D.)--Utah State University, 2006.

This dissertation develops a watershed management framework that integrates environmental protection goals, cost efficiency, and equity considerations. The management framework seeks the cost-minimizing allocation of pollution control responsibilities to reduce phosphorus (P)-loading to streams. Previous research on the allocation problem has developed the least-cost formulation of the problem that addresses both cost efficiency through minimizing total pollution control costs, and hydrological uncertainty through probabilistic water quality constraints. However, the least-cost formulation of the allocation problem does not explicitly consider the distribution of pollution control responsibilities, and hence, distribution of costs among involved parties, which impacts equity. This dissertation advances the research on watershed management by introducing equity into the least-cost allocation problem. In addition, since accurate modeling of P-loading is an important input to the allocation problem, the export coefficients approach used to model P-loading is modified to an erosion-scaled export coefficient approach. The P erosion-scaled export coefficient approach can explain hydrologic variability in predicting the P-loading to the receiving stream, while maintaining the simplicity and low data requirement characteristics of the traditional export coefficient. An improved description of the impact of hydraulic variability on P-loading allows for improved assessment of coefficients uncertainty, which is achieved using Bayesian inference. However, poor quality of streamflow records presents a challenge for adequate understanding and modeling of the hydrological behavior of any watershed. Therefore, a procedure is developed for improving calibration of hydrological models through incorporation of soft information concerning the accuracy of calibration data. Applicability of developed methods in this research is demonstrated using data from the Fishtrap Creek catchment in Lower Nooksack River sub-basin in Washington State.

ISBN: 9780542696763Subjects--Topical Terms:

676987
Environmental Sciences.

Sustainable management of watersheds considering hydrology, water quality, and economic equity.
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502 $a Thesis (Ph.D.)--Utah State University, 2006.
520 $a This dissertation develops a watershed management framework that integrates environmental protection goals, cost efficiency, and equity considerations. The management framework seeks the cost-minimizing allocation of pollution control responsibilities to reduce phosphorus (P)-loading to streams. Previous research on the allocation problem has developed the least-cost formulation of the problem that addresses both cost efficiency through minimizing total pollution control costs, and hydrological uncertainty through probabilistic water quality constraints. However, the least-cost formulation of the allocation problem does not explicitly consider the distribution of pollution control responsibilities, and hence, distribution of costs among involved parties, which impacts equity. This dissertation advances the research on watershed management by introducing equity into the least-cost allocation problem. In addition, since accurate modeling of P-loading is an important input to the allocation problem, the export coefficients approach used to model P-loading is modified to an erosion-scaled export coefficient approach. The P erosion-scaled export coefficient approach can explain hydrologic variability in predicting the P-loading to the receiving stream, while maintaining the simplicity and low data requirement characteristics of the traditional export coefficient. An improved description of the impact of hydraulic variability on P-loading allows for improved assessment of coefficients uncertainty, which is achieved using Bayesian inference. However, poor quality of streamflow records presents a challenge for adequate understanding and modeling of the hydrological behavior of any watershed. Therefore, a procedure is developed for improving calibration of hydrological models through incorporation of soft information concerning the accuracy of calibration data. Applicability of developed methods in this research is demonstrated using data from the Fishtrap Creek catchment in Lower Nooksack River sub-basin in Washington State.
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