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Coupling of environmental models and...

State University of New York College of Environmental Science and Forestry., Environmental & Resources Engineering.

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Coupling of environmental models and geographic information systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Coupling of environmental models and geographic information systems./
作者:	Hirabayashi, Satoshi.
面頁冊數:	197 p.
附註:	Adviser: Chuck N. Kroll.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Engineering, Environmental. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354858
ISBN:	9781109124460

Coupling of environmental models and geographic information systems.
Hirabayashi, Satoshi.

Coupling of environmental models and geographic information systems. - 197 p.

Adviser: Chuck N. Kroll.

Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2009.

Keywords: hydrologic model, air quality model, dry deposition, air pollutant dispersion, geographic information system, model and GIS coupling, component-based approach, lumped model, distributed model.

ISBN: 9781109124460Subjects--Topical Terms:

783782
Engineering, Environmental.

Coupling of environmental models and geographic information systems.
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100 1 $a Hirabayashi, Satoshi. $3 1035515
245 1 0 $a Coupling of environmental models and geographic information systems.
300 $a 197 p.
500 $a Adviser: Chuck N. Kroll.
500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2496.
502 $a Thesis (Ph.D.)--State University of New York College of Environmental Science and Forestry, 2009.
520 $a Keywords: hydrologic model, air quality model, dry deposition, air pollutant dispersion, geographic information system, model and GIS coupling, component-based approach, lumped model, distributed model.
520 $a An environmental model is a simplified representation of a phenomenon, process, or system that occurs in natural environments. Geographic information system (GIS) is a computer based system capable of representing and analyzing geospatial features and processes. This dissertation focuses on developments of environmental models coupled with GIS, and environmental analyses using the developed systems.
520 $a Hydrologic regional regression models were loosely coupled with GIS to seamlessly exchange data within these two systems. The coupled system automated the derivation of watershed characteristics from approximately 1500 raster datasets for flood and low streamflow regional regression model constructions. The effectiveness and efficiency of the developed system was estimated and discussed. Using the developed system, watershed characteristics for more than 100 various sized watersheds were derived with 80 raster datasets. The appropriate Digital Elevation Model (DEM) horizontal resolution for delineating watershed boundaries was determined based on the watershed size and the horizontal resolution of the DEM and raster dataset.
520 $a Air quality models and GIS were tightly coupled with a component-based approach. This effort involved developing lumped and distributed dry deposition models, identifying important model parameters via sensitivity analyses, and integrating the distributed model with GIS. Using the lumped model, dry deposition of air pollutants were quantified for Baltimore, MD in 2005. Two sensitivity analyses performed for the lumped model identified temperature and leaf area index (LAI) as particularly influential to model output. These two parameters and ambient air pollutant concentrations, which directly impact dry deposition amounts, were estimated in a spatially distributed form for the coupled system. Using this system, spatial patterns of temperature, LAI, air pollutant concentrations, air pollutant transportation resistances, dry deposition velocity, and flux of nitrogen dioxide (NO2) were examined. Based on these results, potential areas for future urban forest planting to improve air quality in Baltimore were identified.
520 $a Through the developments of model and GIS coupled systems, efficiency of data extraction, data interpretability, and model reusability and interoperability were validated. A component-based modeling approach enabled rapid, effective, and reliable coupling of environmental models and GIS, while keeping the integrity and security of original source codes intact.
590 $a School code: 0213.
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Hydrology. $3 545716
650 4 $a Physical Geography. $3 893400
690 $a 0368
690 $a 0388
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710 2 $a State University of New York College of Environmental Science and Forestry. $b Environmental & Resources Engineering. $3 1033918
773 0 $t Dissertation Abstracts International $g 70-04B.
790 $a 0213
790 1 0 $a Endreny, Theodore A. $e committee member
790 1 0 $a Herrington, Lee P. $e committee member
790 1 0 $a Kroll, Chuck N., $e advisor
790 1 0 $a Nowak, David J. $e committee member
790 1 0 $a Quackenbush, Lindi J. $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3354858