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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">DISSERTATION SEMINAR NOTICE</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">GEOSPATIAL COMPUTER SCIENCE PROGRAM</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">COLLEGE OF ENGINEERING AND COMPUTER SCIENCE</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">TEXAS A&M UNIVERSITY-CORPUS CHRISTI</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">SUBJECT: Development of Integrated Hydrological and Geospatial Methods for Urban Stormwater Management</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">SPEAKER: Lapone Techapinyawat</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">ADVISOR: Dr. Hua Zhang</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">COMMITTEE: Dr. Yuxia Huang, Dr. Wenlu Wang, Dr. Ruby Mehrubeoglu, Dr. Lon Seiger</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">DATE: Tuesday, October 14, 2025</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">TIME: 11:00 AM</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">PLACE: University Center (UC) Building, Bayview Room 320</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">ZOOM LINK: </span><span style="font-family: "Times New Roman", serif; font-size: 12pt; color: rgb(70, 120, 134);"><u><a style="color: rgb(70, 120, 134); margin: 0px;" data-auth="NotApplicable" data-linkindex="0" originalsrc="https://tamucc.zoom.us/j/91422561649?pwd=3j1U5qiqWxWCbTix8DgR5XPbleRv9m.1" rel="noopener noreferrer" title="Original URL: https://tamucc.zoom.us/j/91422561649?pwd=3j1U5qiqWxWCbTix8DgR5XPbleRv9m.1. Click or tap if you trust this link." class="OWAAutoLink" id="OWA382dfa5b-963d-6a30-8145-1591dbd98e2e" target="_blank" href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftamucc.zoom.us%2Fj%2F91422561649%3Fpwd%3D3j1U5qiqWxWCbTix8DgR5XPbleRv9m.1&data=05%7C02%7Ccosc-grad-students-list%40listserv.tamucc.edu%7C196c2ad60957420b931608de05ef7555%7C34cbfaf167a64781a9ca514eb2550b66%7C0%7C0%7C638954723194043563%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=guNK4DSOEkUmohitkvOb85fH0umr40h%2B5e7fNbdMehA%3D&reserved=0" originalsrc="https://tamucc.zoom.us/j/91422561649?pwd=3j1U5qiqWxWCbTix8DgR5XPbleRv9m.1">https://tamucc.zoom.us/j/91422561649?pwd=3j1U5qiqWxWCbTix8DgR5XPbleRv9m.1</a></u></span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;"> </span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">ABSTRACT</span></p>
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<span style="font-family: "Times New Roman", serif; font-size: 12pt; color: black;">Urbanization alters hydrologic processes by increasing impervious surface coverage and introducing engineered drainage infrastructure, fundamentally transforming how rainfall
partitions into infiltration and runoff. Conventional urban hydrologic models rely heavily on lumped metrics such as the total impervious area and the effective impervious area. They quantify the extent of non-infiltrating surfaces but overlook the spatial
arrangement of natural and built features, local patterns of microtopography, and the hydrologic connectivity across surface and subsurface domains. In particular, three important factors are often neglected or simplified: the control of surface depression
storage, the dynamics of surface runoff pathways, and the linkage between hydrologic and hydraulic processes. Such knowledge gaps limit the analysis of the spatiotemporal characteristics of urban stormwater runoff, as well as the design and management of stormwater
infrastructure systems. This dissertation presents an integrated hydrologic and geospatial modeling framework for systematically improving the characterization of urban watersheds and the simulation of stormwater runoff processes. This approach highlights
the incorporation of advanced geospatial data and tools, machine learning, and distributed hydrologic-hydraulic simulations, comprising four key components: (1) the identification of urban surface depressions using high-resolution digital elevation models
derived from small unmanned aircraft systems; (2) the development of a classification-correction method for improving the delineation and quantification of urban impervious surfaces; (3) the development of a deep learning model for efficiently estimating parcel-level
surface imperviousness; and (4) the development of a new depression-oriented, fill-and-spill hydrologic model. The framework is computationally efficient and highlights spatially explicit inputs and physically based dynamics. It connects comprehensive watershed
characterization to process-based stormwater modeling, providing an improved scientific basis for urban stormwater management.</span></p>
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