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Agricultural water management in the...

Kim, Daeha.

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Agricultural water management in the Sevier River Basin, Utah: A multidisciplinary approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Agricultural water management in the Sevier River Basin, Utah: A multidisciplinary approach./
Author:	Kim, Daeha.
Description:	193 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
Contained By:	Dissertation Abstracts International76-10B(E).
Subject:	Water resources management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3706055
ISBN:	9781321794984

Agricultural water management in the Sevier River Basin, Utah: A multidisciplinary approach.
Kim, Daeha.

Agricultural water management in the Sevier River Basin, Utah: A multidisciplinary approach. - 193 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.

Thesis (Ph.D.)--Utah State University, 2015.

Rural river basins with limited water always face the challenge of providing adequate water for agriculture given the high proportion of water use. Management of these river basins becomes even more complex with limited data, snowmelt driven runoff, salinity, and complex water storage and diversion patterns. One option to manage such river basins is to develop appropriate hydro-economic tools that consider maximizing farm income subject to water availability. This research addresses these concerns in the snowmelt-driven Sevier River Basin located in south central Utah where salinity is a concern while regulated flows cause lack of information of natural flows and water availability together with increased soil salinity. This dissertation addressed three important areas: use of a simple and practical approach of predicting natural flows and water availability using the Flow Duration Curve method (FDC); updating the AquaCrop model of FAO using remote sensing models and regional crop information to predict crop response to water with and without salinity; and finally developing a hydro-economic analysis that considered crop price and yield variability to maximize producers' utility. Snowmelt runoff is predicted using a combination of a snowmelt model and the FDC method with point climatic inputs. Applicability of the method is tested using both lumped and semi-distributed conceptual models. For crop production functions, FAO AquaCrop is validated using Landsat images and regional crop information without ground crop measurements. A novel remote sensing model is suggested with the concept of the radiance use efficiency model for estimating aboveground biomass. In the hydro-economic analysis, variability in crop prices and yields is incorporated in the risk-term such that water and land allocation strategies considering producers' profit and financial risk are provided for salinity-affected farms.

ISBN: 9781321794984Subjects--Topical Terms:

794747
Water resources management.

Agricultural water management in the Sevier River Basin, Utah: A multidisciplinary approach.
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500 $a Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
500 $a Adviser: Jagath J. Kaluarachchi.
502 $a Thesis (Ph.D.)--Utah State University, 2015.
520 $a Rural river basins with limited water always face the challenge of providing adequate water for agriculture given the high proportion of water use. Management of these river basins becomes even more complex with limited data, snowmelt driven runoff, salinity, and complex water storage and diversion patterns. One option to manage such river basins is to develop appropriate hydro-economic tools that consider maximizing farm income subject to water availability. This research addresses these concerns in the snowmelt-driven Sevier River Basin located in south central Utah where salinity is a concern while regulated flows cause lack of information of natural flows and water availability together with increased soil salinity. This dissertation addressed three important areas: use of a simple and practical approach of predicting natural flows and water availability using the Flow Duration Curve method (FDC); updating the AquaCrop model of FAO using remote sensing models and regional crop information to predict crop response to water with and without salinity; and finally developing a hydro-economic analysis that considered crop price and yield variability to maximize producers' utility. Snowmelt runoff is predicted using a combination of a snowmelt model and the FDC method with point climatic inputs. Applicability of the method is tested using both lumped and semi-distributed conceptual models. For crop production functions, FAO AquaCrop is validated using Landsat images and regional crop information without ground crop measurements. A novel remote sensing model is suggested with the concept of the radiance use efficiency model for estimating aboveground biomass. In the hydro-economic analysis, variability in crop prices and yields is incorporated in the risk-term such that water and land allocation strategies considering producers' profit and financial risk are provided for salinity-affected farms.
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