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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149647
Doc. No : ET21439
Main Entry : Hsueh-hwa Lee
Title Proper : Data Mining Of Remote Sensed Data for Stormwater Systems
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The main objective of this research was to e ance understanding of the Santaonica Bay area stormwater systems. The runoff system is proven too intricate forconventional approaches, as most of its parameters are complex and spatially distributed.A novel three-part approach was developed to redress problems that had long preventedstomwater research from breaking new ground.Although remote sensed data have been available for many years, no stomwateras used them as direct model input. This dissefiation proposes establishing ageographic information system (GIS) with remote sensed data, using data miningues to explore land use infomation for stomwater modeling, andanalysis on one of S ay9s discrete watersheds.gieal combination oftested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44602.pdf
Title and statement of responsibility and : Data Mining Of Remote Sensed Data for Stormwater Systems [Thesis]
 
 
 
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