<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T09:48:45Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/73783" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/73783</identifier><datestamp>2022-01-13T07:54:23Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Eric E. Adams.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Dong, Bo, M. Eng. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2012-10-10T15:44:51Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2012-10-10T15:44:51Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/73783</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">810191582</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 57-58).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis presents a general model for the carbon footprints analysis of wastewater treatment plants (WWTPs), using a life cycle assessment (LCA) approach. In previous research, the issue of global warming is often related to traditional industries with high carbon dioxide (CO2) emissions, such as power plants and transportation. However, the analyses of wastewater treatment plants (WWTPs) have drawn increasing attention, due to the intensive greenhouse gas emissions (GHG) from WWTPs. WWTPs have been listed in the 7 th place for both methane (CH 4) and nitrous oxide (N2O) total emissions. In addition, WWTPs indirectly contribute to a huge amount of CO2 emissions. The final results have shown that more than half of the carbon footprints from the La Gavia WWTP are from the indirect emissions of CO2, which is caused by the intensive energy consumption. The direct emissions of CH4 and N2O combined contribute more than 30 percent of GHG emission. The finally section of the thesis compares the environmental impacts of the La Gavia WWTP with case of no WWTP at all. It has been concluded that although the La Gavia WWTP increased the total carbon footprints, it has much better control of eutrophication potential (EP).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Bo Dong.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">65 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Life-cycle assessment of wastewater treatment plants</dim:field>
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   	&lt;Title>Life-cycle assessment of wastewater treatment plants&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Dong, Bo, M. Eng. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>This thesis presents a general model for the carbon footprints analysis of wastewater treatment plants (WWTPs), using a life cycle assessment (LCA) approach. In previous research, the issue of global warming is often related to traditional industries with high carbon dioxide (CO2) emissions, such as power plants and transportation. However, the analyses of wastewater treatment plants (WWTPs) have drawn increasing attention, due to the intensive greenhouse gas emissions (GHG) from WWTPs. WWTPs have been listed in the 7 th place for both methane (CH 4) and nitrous oxide (N2O) total emissions. In addition, WWTPs indirectly contribute to a huge amount of CO2 emissions. The final results have shown that more than half of the carbon footprints from the La Gavia WWTP are from the indirect emissions of CO2, which is caused by the intensive energy consumption. The direct emissions of CH4 and N2O combined contribute more than 30 percent of GHG emission. The finally section of the thesis compares the environmental impacts of the La Gavia WWTP with case of no WWTP at all. It has been concluded that although the La Gavia WWTP increased the total carbon footprints, it has much better control of eutrophication potential (EP).&lt;/Abstract>
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