The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method

碩士 === 國立臺北科技大學 === 環境規劃與管理研究所 === 95 === This study has collected on air quality and pollutant emissions quantities of cities of north Taiwan from 1998 to 2004, two models, Rollback method and Genetic programming method, are used to calculate the capacities of the air pollution, applying the idea o...

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Main Authors: Chia-Hsin Liu, 劉佳鑫
Other Authors: 曾昭衡
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/vz55e5
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spelling ndltd-TW-095TIT055140312019-06-27T05:10:12Z http://ndltd.ncl.edu.tw/handle/vz55e5 The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method 應用遺傳規劃法於空氣污染物涵容能力之分析 Chia-Hsin Liu 劉佳鑫 碩士 國立臺北科技大學 環境規劃與管理研究所 95 This study has collected on air quality and pollutant emissions quantities of cities of north Taiwan from 1998 to 2004, two models, Rollback method and Genetic programming method, are used to calculate the capacities of the air pollution, applying the idea of the unit area in Tanshui River to calculate the carrying capacities of the air pollution in Tanshui River. In addition, the methods and process used for calculation of carrying capacity reported in this study should be useful for total quantity control of air pollution emission and system for environmental control assessment. At First, the study used Rollback method to estimate the carrying capacity of five types of air pollution in Tanshui River, and each average carrying capacity of PM10,SO2,NO2,CO and NMHC were 20,711 ton/yr(remaining 28%), 237,248 ton/yr(remaining 85%), 90,693 ton/yr(remaining 53%), 288,277 ton/yr(remaining 57%)and1,575,063 ton/yr(remaining 89%).Then, this study used Genetic programming method in four kinds of meteoric situation to calculate remaining carrying capacity of the air pollutions in Tanshui River. The remaining carrying capacity of the PM10 was 57,863 ton/year in the low temperature and low wind velocity, and 185,741 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the SO2 was 200,291 ton/year in the low temperature and low wind velocity, and 464,189 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the NO2 was-7,924 ton/year in the low temperature and low wind velocity, and 120,387 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the NMHC was 113,360 ton/year in the low temperature and low wind velocity, and 1231,252 ton/year in the high temperature and highwind velocity. Moreover, the least average carrying capacity of PM10, SO2, NO2, and NMHC in the low temperature and low wind velocity. However average carrying capacity of PM10, SO2, NO2, and NMHC have the maximum in the high temperature and high wind velocity. From Rollback method and Genetic programming method, PM10 and NO2 have less carrying capacity, therefore, PM10 and NO2 have the higher priority to be considered as control targeta than NMHC. 曾昭衡 2007 學位論文 ; thesis 123 zh-TW
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description 碩士 === 國立臺北科技大學 === 環境規劃與管理研究所 === 95 === This study has collected on air quality and pollutant emissions quantities of cities of north Taiwan from 1998 to 2004, two models, Rollback method and Genetic programming method, are used to calculate the capacities of the air pollution, applying the idea of the unit area in Tanshui River to calculate the carrying capacities of the air pollution in Tanshui River. In addition, the methods and process used for calculation of carrying capacity reported in this study should be useful for total quantity control of air pollution emission and system for environmental control assessment. At First, the study used Rollback method to estimate the carrying capacity of five types of air pollution in Tanshui River, and each average carrying capacity of PM10,SO2,NO2,CO and NMHC were 20,711 ton/yr(remaining 28%), 237,248 ton/yr(remaining 85%), 90,693 ton/yr(remaining 53%), 288,277 ton/yr(remaining 57%)and1,575,063 ton/yr(remaining 89%).Then, this study used Genetic programming method in four kinds of meteoric situation to calculate remaining carrying capacity of the air pollutions in Tanshui River. The remaining carrying capacity of the PM10 was 57,863 ton/year in the low temperature and low wind velocity, and 185,741 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the SO2 was 200,291 ton/year in the low temperature and low wind velocity, and 464,189 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the NO2 was-7,924 ton/year in the low temperature and low wind velocity, and 120,387 ton/year in the high temperature and highwind velocity. The remaining carrying capacity of the NMHC was 113,360 ton/year in the low temperature and low wind velocity, and 1231,252 ton/year in the high temperature and highwind velocity. Moreover, the least average carrying capacity of PM10, SO2, NO2, and NMHC in the low temperature and low wind velocity. However average carrying capacity of PM10, SO2, NO2, and NMHC have the maximum in the high temperature and high wind velocity. From Rollback method and Genetic programming method, PM10 and NO2 have less carrying capacity, therefore, PM10 and NO2 have the higher priority to be considered as control targeta than NMHC.
author2 曾昭衡
author_facet 曾昭衡
Chia-Hsin Liu
劉佳鑫
author Chia-Hsin Liu
劉佳鑫
spellingShingle Chia-Hsin Liu
劉佳鑫
The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
author_sort Chia-Hsin Liu
title The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
title_short The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
title_full The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
title_fullStr The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
title_full_unstemmed The Analysis of Atmospheric Carrying Capacity by Genetic Programming Method
title_sort analysis of atmospheric carrying capacity by genetic programming method
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/vz55e5
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