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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ohiou15138801393681172021-08-03T07:05:08Z Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin Mounir, Adil Civil Engineering Agricultural Economics Agricultural Engineering Atmospheric Sciences Atmosphere Computer Science Environmental Science Hydrologic Sciences Hydrology Operations Research Water Resource Management Sustainability Environmental Engineering Engineering sustainability nonlinear programming optimization hydrologic simulation reservoir system GAMS HEC-HMS reservoir operation Yaqui River Basin Python water resources remote sensing NLDAS bias correction water allocation hydrology water The Yaqui River Basin (YRB) is located in the semi-arid state of Sonora in northwest Mexico. This watershed flow is controlled by three reservoirs: Angostura, Novillo, and Oviachic. In order to assess and improve the management of the Yaqui reservoir system, a daily reservoir operation model was developed. This model is composed of a semi-distributed daily watershed simulation combined with an optimization model. The hydrologic simulation was developed using the Hydrologic Modeling System (HEC-HMS) developed by the US Army Corps of Engineers (USACE) Hydrologic Engineering Center. This simulation framework can estimate the water availability in different regions of the watershed. The HEC-HMS model was integrated to a nonlinear optimization model that estimates the water allocation in order to satisfy the competing water demands from different users according to water rights established in Mexico's National Water Law. The optimization model is developed using the General Algebraic Modeling System (GAMS). The communication between HEC-HMS and GAMS was completely automated via Python scripts for time efficiency reasons.Different hydrological forcing (precipitation, temperature, and solar radiation) scenarios were applied to the HEC-HMS simulation: (1) a network of daily ground observations from Mexican water agencies during the historical period of 1990-2010, (2) gridded fields from the North America Land Data Assimilation System (NLDAS) at 12 km resolution during the same simulation period, and (3) bias corrected NLDAS fields. The NLDAS forcing and bias corrected NLDAS performed better for Angostura and Novillo whereas ground observation datasets provided the best simulation for Oviachic. The simulated reservoir releases were compared to ideal releases at the three reservoirs to generate confidence in the simulation tools. It was concluded that authorized water allocation is unable to satisfy all users’ demands. The simulated water allocation satisfied these demands; therefore the model could be used to assist local reservoir operators make decisions. 2018-07-05 English text Ohio University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1513880139368117 http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1513880139368117 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Civil Engineering
Agricultural Economics
Agricultural Engineering
Atmospheric Sciences
Atmosphere
Computer Science
Environmental Science
Hydrologic Sciences
Hydrology
Operations Research
Water Resource Management
Sustainability
Environmental Engineering
Engineering
sustainability
nonlinear programming
optimization
hydrologic simulation
reservoir system
GAMS
HEC-HMS
reservoir operation
Yaqui River Basin
Python
water resources
remote sensing
NLDAS
bias correction
water allocation
hydrology
water
spellingShingle Civil Engineering
Agricultural Economics
Agricultural Engineering
Atmospheric Sciences
Atmosphere
Computer Science
Environmental Science
Hydrologic Sciences
Hydrology
Operations Research
Water Resource Management
Sustainability
Environmental Engineering
Engineering
sustainability
nonlinear programming
optimization
hydrologic simulation
reservoir system
GAMS
HEC-HMS
reservoir operation
Yaqui River Basin
Python
water resources
remote sensing
NLDAS
bias correction
water allocation
hydrology
water
Mounir, Adil
Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
author Mounir, Adil
author_facet Mounir, Adil
author_sort Mounir, Adil
title Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
title_short Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
title_full Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
title_fullStr Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
title_full_unstemmed Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin
title_sort development of a reservoir system operation model for water sustainability in the yaqui river basin
publisher Ohio University / OhioLINK
publishDate 2018
url http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1513880139368117
work_keys_str_mv AT mouniradil developmentofareservoirsystemoperationmodelforwatersustainabilityintheyaquiriverbasin
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