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Uncertainty in Irrigation Return Flow Estimation: Comparing Conceptual and Physically-Based Parameterization Approaches
- Source :
- Water, Vol 12, Iss 1125, p 1125 (2020), Water, Volume 12, Issue 4
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Irrigation return flow (RF) is a critical component of the water cycle in an agricultural watershed, influencing the flow regime of downstream river. As such, it should be accurately quantified when developing water resources management plans and practices. Although many studies have proposed ways to quantify RF, uncertainty in RF estimates has not been determined to improve reliability and credibility. This study examines how conceptual (CON) and physically-based (PHY) parameterization approaches affect RF uncertainty. Results showed that PHY had a smaller amount of RF uncertainty compared to CON, as parameters of the PHY approach could be regulated based on their physical meanings. This study also found that the application of constraints created based on the relationship between the conceptual parameter and physical characteristics of irrigated plots could effectively reduce RF uncertainty made using the CON approach. This study demonstrates the benefits of the physically-based parameterization approach and the application of constraints on conceptual parameters to RF estimation.
- Subjects :
- Mathematical optimization
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences
Computer science
Geography, Planning and Development
Flow (psychology)
0207 environmental engineering
02 engineering and technology
Aquatic Science
01 natural sciences
Biochemistry
lcsh:Water supply for domestic and industrial purposes
PHY
lcsh:TC1-978
Component (UML)
Water cycle
020701 environmental engineering
uncertainty
conceptual parameter
Reliability (statistics)
0105 earth and related environmental sciences
Water Science and Technology
Estimation
lcsh:TD201-500
ungauged watersheds
irrigation return flow
Water resources
physically-based parameter
drainage routing schemes
Return flow
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Volume :
- 12
- Issue :
- 1125
- Database :
- OpenAIRE
- Journal :
- Water
- Accession number :
- edsair.doi.dedup.....498fc5e017a60c19471e727696a409f4