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Stochastic analysis of the impacts of rainfall patterns on groundwater recharge

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dc.contributor.authorBahrawi, Jarbou Abdullah, author
dc.contributor.authorFontane, Darrell G., advisor
dc.contributor.authorBau, Domenico, advisor
dc.date.accessioned2024-03-13T18:50:48Z
dc.date.available2024-03-13T18:50:48Z
dc.date.issued2009
dc.description.abstractPotential climate change can impact groundwater recharge. Climate chance scenarios were constructed taking into account uncertainty concerning stochastic generation patterns of precipitation and change in the recharge. Because groundwater is directly connected to near-surface hydrologic processes, it intricately connected to the overall hydrologic cycle and could be directly affected by climatic change. Changes in groundwater recharge are likely to result from changes in the annual and seasonal distribution of precipitation. The relationship between the stochastic precipitation that infiltrates and recharges groundwater is the subject of active studies. This is an unprecedented and important research area. The goal of the present research is to attempt to characterize impacts on groundwater recharge by developing potential precipitation patterns and simulating the groundwater recharge in a groundwater simulation model. The stochastic generation of a precipitation model is estimated by adopting two processes for the rainfall. One model is a first order Markov chain. The second model used an exponential distribution model that was fitted to the historical time series of the amount of rain for rainy days. Based on the US Global Change Research Program report's of general predictions for the climate in northeastern North America over the next 100 years, six scenarios for a synthetic time series of precipitation ware developed. Precipitation is assumed to increase or decrease, with an average change ranging between 5 and 45 percent with 10 percent increments. The generated synthetic time series of precipitation were used in the GSFLOW model. Characteristic statistics and the frequency analysis of the recharge scenarios were estimated. The investigation shows that for the different scenarios, the recharge can be affected and changed to a much greater degree than the percentage change in precipitation. For example a scenario of 25% increase in precipitation showed an increase in recharge of approximately 60% while a 25% decrease in precipitation showed a 70% decrease in recharge.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierETDF_Bahrawi_2009_3401019.pdf
dc.identifier.urihttps://hdl.handle.net/10217/237564
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectgroundwater recharge
dc.subjectprecipitation
dc.subjectrainfall
dc.subjecthydrologic sciences
dc.subjectcivil engineering
dc.subjectenvironmental engineering
dc.titleStochastic analysis of the impacts of rainfall patterns on groundwater recharge
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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