Coupling biophysical processes and water rights to simulate spatially distributed water use in an intensively managed hydrologic system
-
Published:2017-07-20
Issue:7
Volume:21
Page:3671-3685
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Han BangshuaiORCID, Benner Shawn G., Bolte John P., Vache Kellie B., Flores Alejandro N.ORCID
Abstract
Abstract. Humans have significantly altered the redistribution of water in intensively managed hydrologic systems, shifting the spatiotemporal patterns of surface water. Evaluating water availability requires integration of hydrologic processes and associated human influences. In this study, we summarize the development and evaluation of an extensible hydrologic model that explicitly integrates water rights to spatially distribute irrigation waters in a semi-arid agricultural region in the western US, using the Envision integrated modeling platform. The model captures both human and biophysical systems, particularly the diversion of water from the Boise River, which is the main water source that supports irrigated agriculture in this region. In agricultural areas, water demand is estimated as a function of crop type and local environmental conditions. Surface water to meet crop demand is diverted from the stream reaches, constrained by the amount of water available in the stream, the water-rights-appropriated amount, and the priority dates associated with particular places of use. Results, measured by flow rates at gaged stream and canal locations within the study area, suggest that the impacts of irrigation activities on the magnitude and timing of flows through this intensively managed system are well captured. The multi-year averaged diverted water from the Boise River matches observations well, reflecting the appropriation of water according to the water rights database. Because of the spatially explicit implementation of surface water diversion, the model can help diagnose places and times where water resources are likely insufficient to meet agricultural water demands, and inform future water management decisions.
Funder
National Science Foundation
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference53 articles.
1. Abatzoglou, J. T. and Brown, T. J.: A comparison of statistical downscaling methods suited for wildfire applications, Int. J. Climatol., 32, 772–780, 2012. 2. Abebe, N. A., Ogden, F. L., and Pradhan, N. R.: Sensitivity and uncertainty analysis of the conceptual HBV rainfall–runoff model: Implications for parameter estimation, J. Hydrol., 389, 301–310, 2010. 3. Ahrends, H., Mast, M., Rodgers, C., and Kunstmann, H.: Coupled hydrological–economic modelling for optimised irrigated cultivation in a semi-arid catchment of West Africa, Environ. Model. Softw., 23, 385–395, 2008. 4. Allen, R. G. and Robison, C. W.: Evapotranspiration and consumptive irrigation water requirements for Idaho. IDWR, Research Technical Completion Report, University of Idaho, available at: http://www.ecy.wa.gov/programs/wr/wig/images/pdf/et_cir_wa_102008.pdf (last access: 20 June 2017), 2007. 5. Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, 300, p. D05109, 1998.
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|