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Investigating Rainwater Harvesting as a Stormwater Best Management Practice and as a Function of Irrigation Water Use

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dc.contributor.advisor Lesikar, Bruce J. en_US
dc.creator Shannak, Sa'D Abdel-Halim en_US
dc.date.accessioned 2012-02-14T22:18:38Z en_US
dc.date.accessioned 2012-02-16T16:14:43Z
dc.date.available 2012-02-14T22:18:38Z en_US
dc.date.available 2012-02-16T16:14:43Z
dc.date.created 2010-12 en_US
dc.date.issued 2012-02-14 en_US
dc.date.submitted December 2010 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8840 en_US
dc.description.abstract Stormwater runoff has negative impacts on water resources, human health and environment. In this research the effectiveness of Rain Water Harvesting (RWH) systems is examined as a stormwater Best Management Practice (BMP). Time-based, evapotranspiration-based, and soil moisture-based irrigation scheduling methods in conjunction with RWH and a control site without RWH were simulated to determine the effect of RWH as a BMP on a single-family residence scale. The effects of each irrigation scheduling method on minimizing water runoff leaving the plots and potable water input for irrigation were compared. The scenario that reflects urban development was simulated and compared to other RWH-irrigation scheduling systems by a control treatment without a RWH component. Four soil types (sand, sandy loam, loamy sand, silty clay) and four cistern sizes (208L, 416L, 624L, 833L) were evaluated in the urban development scenario. To achieve the purpose of this study; a model was developed to simulate daily water balance for the three treatments. Irrigation volumes and water runoff were compared for four soil types and four cistern sizes. Comparisons between total volumes of water runoff were estimated by utilizing different soil types, while comparisons between total potable water used for irrigation were estimated by utilizing different irrigation scheduling methods. This research showed that both Curve Number method and Mass-Balance method resulted in the greatest volumes of water runoff predicted for Silty Clay soil and the least volumes of water runoff predicted for Sand soil. Moreover, increasing cistern sizes resulted in reducing total water runoff and potable water used for irrigation, although not at a statistically significant level. Control treatment that does not utilize a cistern had the greatest volumes of predicted supplemental water among all soil types utilized, while Soil Moisture-based treatment on average had the least volume of predicted supplemental water. en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject Rainwater harvesting en_US
dc.subject Best Management Practices en_US
dc.subject Cistern en_US
dc.subject Irrigation en_US
dc.subject Soil type en_US
dc.subject Zoysia grass en_US
dc.subject Landscape en_US
dc.subject Stormwater en_US
dc.subject Runoff en_US
dc.subject Depletion en_US
dc.subject Irrigation Scheduling en_US
dc.subject Potable water en_US
dc.subject Supplemental water en_US
dc.subject Flood control en_US
dc.subject Urbanization en_US
dc.subject Curve Number en_US
dc.subject Mass Balance en_US
dc.subject Model en_US
dc.subject Effectiveness en_US
dc.subject Soil Moisture, Evapotranspiration en_US
dc.subject Time en_US
dc.subject Rainfall en_US
dc.subject Soil depth en_US
dc.subject Cistern size en_US
dc.subject Turfgrass en_US
dc.subject Simulation en_US
dc.title Investigating Rainwater Harvesting as a Stormwater Best Management Practice and as a Function of Irrigation Water Use en_US
dc.type Thesis en
thesis.degree.department Biological and Agricultural Engineering en_US
thesis.degree.discipline Water Management and Hydrological Science en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Master of Science en_US
thesis.degree.level Masters en_US
dc.contributor.committeeMember Kaiser, Ronald en_US
dc.contributor.committeeMember Jaber, Fouad en_US
dc.type.genre thesis en_US
dc.type.material text en_US


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