عنوان

Automatic Calibration of Water Quality and Hydrodynamic Model (CE-QUAL-W2)

شماره

TL47909

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Automatic Calibration of Water Quality and Hydrodynamic Model (CE-QUAL-W2)

نام عام مواد

[Thesis]

نام نخستين پديدآور

Nasim Shojaei

نام ساير پديدآوران

Wells, Scott

نام ناشر، پخش کننده و غيره

Portland State University

تاریخ نشرو بخش و غیره

2014

نام خاص و کميت اثر

107

متن يادداشت

Committee members: Berger, Chris; Talke, Stefan; Wells, Scott

متن يادداشت

Place of publication: United States, Ann Arbor; ISBN=978-1-321-18006-0

جزئيات پايان نامه و نوع درجه آن

M.S.

نظم درجات

Civil and Environmental Engineering

کسي که مدرک را اعطا کرده

Portland State University

امتياز متن

2014

متن يادداشت

One of the most important purposes of surface water resource management is to develop predictive models to assist in identifying and evaluating operational and structural measures for improving water quality. To better understand the effects of external and internal nutrient and organic loading and the effects of reservoir operation, a model is often developed, calibrated, and used for sensitivity and management simulations. The importance of modeling and simulation in the scientific community has drawn interest towards methods for automated calibration. This study addresses using an automatic technique to calibrate the water quality model CEQUAL-W2 (Cole and Wells, 2013). CE-QUAL-W2 is a two-dimensional (2D) longitudinal/vertical hydrodynamic and water quality model for surface water bodies, modeling eutrophication processes such as temperature-nutrient-algae-dissolved oxygen-organic matter and sediment relationships. The numerical method used for calibration in this study is the particle swarm optimization method developed by Kennedy and Eberhart (1995) and inspired by the paradigm of birds flocking. The objective of this calibration procedure is to choose model parameters and coefficients affecting temperature, chlorophyll a, dissolved oxygen, and nutrients (such as NH₄, NO₃, and PO₄). A case study is presented for the Karkheh Reservoir in Iran with a capacity of more than 5 billion cubic meters that is the largest dam in Iran with both agricultural and drinking water usages. This algorithm is shown to perform very well for determining model parameters for the reservoir water quality and hydrodynamic model. Implications of the use of this procedure for other water quality models are also shown.

موضوع مستند نشده

Civil engineering; Water Resource Management; Environmental engineering

اصطلاح موضوعی

Applied sciences;Earth sciences;Automatic calibration;Ce-qual-w2;Karkhey reservoir;Particle swarm inteligence;Water quality and hydrodynamic modeling

مستند نام اشخاص تاييد نشده

Mahani, Sepideh

مستند نام اشخاص تاييد نشده

Wells, Scott

تقسيم فرعي

Civil and Environmental Engineering

مستند نام تنالگان تاييد نشده

Portland State University

شماره بازیابی

1614531571; 1564754

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y