Analytical modeling of polycyclic aromatic hydrocarbon loading and transport via road runoff in an urban region of Beijing, China
Identifieur interne : 000C73 ( Istex/Corpus ); précédent : 000C72; suivant : 000C74Analytical modeling of polycyclic aromatic hydrocarbon loading and transport via road runoff in an urban region of Beijing, China
Auteurs : Wei Zhang ; Arturo A. Keller ; Xuejun WangSource :
- Water Resources Research [ 0043-1397 ] ; 2009-01.
Abstract
An analytical runoff water quality model is developed for simulating polycyclic aromatic hydrocarbon (PAH) loading and transport via road runoff in an urban area. The model considers buildup and washoff processes of suspended solids in storm runoff and considers dissolved and particle‐bound PAHs. Pollutant deposition and removal processes, which have typically been treated with a constant rate in previous models, are depicted as functions of relative humidity and wind speed to reflect the influence of meteorological conditions and are integrated into the pollutant buildup function. Pollutant input via rainwater and canopy throughfall from roadside trees is considered in the washoff model. The model is calibrated and verified with field data from an urban catchment in Beijing, China. The verification indicates that the runoff model is capable of providing results in good agreement with field measurements. A Monte Carlo framework is used to evaluate the uncertainty of PAH loading under various scenarios of atmospheric conditions.
Url:
DOI: 10.1029/2008WR007004
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<front><div type="abstract">An analytical runoff water quality model is developed for simulating polycyclic aromatic hydrocarbon (PAH) loading and transport via road runoff in an urban area. The model considers buildup and washoff processes of suspended solids in storm runoff and considers dissolved and particle‐bound PAHs. Pollutant deposition and removal processes, which have typically been treated with a constant rate in previous models, are depicted as functions of relative humidity and wind speed to reflect the influence of meteorological conditions and are integrated into the pollutant buildup function. Pollutant input via rainwater and canopy throughfall from roadside trees is considered in the washoff model. The model is calibrated and verified with field data from an urban catchment in Beijing, China. The verification indicates that the runoff model is capable of providing results in good agreement with field measurements. A Monte Carlo framework is used to evaluate the uncertainty of PAH loading under various scenarios of atmospheric conditions.</div>
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<abstractGroup><abstract type="main"><p xml:id="wrcr11814-para-0005" label="1">An analytical runoff water quality model is developed for simulating polycyclic aromatic hydrocarbon (PAH) loading and transport via road runoff in an urban area. The model considers buildup and washoff processes of suspended solids in storm runoff and considers dissolved and particle‐bound PAHs. Pollutant deposition and removal processes, which have typically been treated with a constant rate in previous models, are depicted as functions of relative humidity and wind speed to reflect the influence of meteorological conditions and are integrated into the pollutant buildup function. Pollutant input via rainwater and canopy throughfall from roadside trees is considered in the washoff model. The model is calibrated and verified with field data from an urban catchment in Beijing, China. The verification indicates that the runoff model is capable of providing results in good agreement with field measurements. A Monte Carlo framework is used to evaluate the uncertainty of PAH loading under various scenarios of atmospheric conditions.</p>
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<name type="personal"><namePart type="given">Wei</namePart>
<namePart type="family">Zhang</namePart>
<affiliation>MOE Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China</affiliation>
<affiliation>E-mail: xjwang@urban.pku.edu.cn</affiliation>
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<name type="personal"><namePart type="given">Arturo A.</namePart>
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<name type="personal"><namePart type="given">Xuejun</namePart>
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<abstract>An analytical runoff water quality model is developed for simulating polycyclic aromatic hydrocarbon (PAH) loading and transport via road runoff in an urban area. The model considers buildup and washoff processes of suspended solids in storm runoff and considers dissolved and particle‐bound PAHs. Pollutant deposition and removal processes, which have typically been treated with a constant rate in previous models, are depicted as functions of relative humidity and wind speed to reflect the influence of meteorological conditions and are integrated into the pollutant buildup function. Pollutant input via rainwater and canopy throughfall from roadside trees is considered in the washoff model. The model is calibrated and verified with field data from an urban catchment in Beijing, China. The verification indicates that the runoff model is capable of providing results in good agreement with field measurements. A Monte Carlo framework is used to evaluate the uncertainty of PAH loading under various scenarios of atmospheric conditions.</abstract>
<subject><genre>keywords</genre>
<topic>polycyclic aromatic hydrocarbon</topic>
<topic>uncertainty analysis</topic>
<topic>runoff</topic>
<topic>washoff</topic>
<topic>nonpoint source loading</topic>
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<note type="content"> Auxiliary material for this article contains data for the model calibration and verification. Auxiliary material files may require downloading to a local drive depending on platform, browser, configuration, and size. To open auxiliary materials in a browser, click on the label. To download, Right‐click and select “Save Target As…” (PC) or CTRL‐click and select “Download Link to Disk” (Mac). See Plugins for a list of applications and supported file formats. Additional file information is provided in the readme.txt Auxiliary material for this article contains data for the model calibration and verification. Auxiliary material files may require downloading to a local drive depending on platform, browser, configuration, and size. To open auxiliary materials in a browser, click on the label. To download, Right‐click and select “Save Target As…” (PC) or CTRL‐click and select “Download Link to Disk” (Mac). See Plugins for a list of applications and supported file formats. Additional file information is provided in the readme.txt Auxiliary material for this article contains data for the model calibration and verification. Auxiliary material files may require downloading to a local drive depending on platform, browser, configuration, and size. To open auxiliary materials in a browser, click on the label. To download, Right‐click and select “Save Target As…” (PC) or CTRL‐click and select “Download Link to Disk” (Mac). See Plugins for a list of applications and supported file formats. Additional file information is provided in the readme.txt Auxiliary material for this article contains data for the model calibration and verification. Auxiliary material files may require downloading to a local drive depending on platform, browser, configuration, and size. To open auxiliary materials in a browser, click on the label. To download, Right‐click and select “Save Target As…” (PC) or CTRL‐click and select “Download Link to Disk” (Mac). See Plugins for a list of applications and supported file formats. Additional file information is provided in the readme.txtSupporting Info Item: readme.txt - Table S1. Information on data used for SS model calibration and verification. - Table S2. Simulated and measured SS loads for model calibration. - Table S3. Comparison between observed and simulated SS loads. - Table S4. Data used for PAH model verification. - Table S5. Comparison of modeled and measured total PAH loading. - Table S6. Simulated PAH load under various scenarios. - Figure S1. Relationship between SS accumulation and antecedent dry period. - Tab‐delimited Table 1. - Tab‐delimited Table 2. - Tab‐delimited Table 3. - Tab‐delimited Table 4. - </note>
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<topic authorityURI="http://psi.agu.org/taxonomy5/0300">ATMOSPHERIC COMPOSITION AND STRUCTURE</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0345">Pollution: urban and regional</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0400">BIOGEOSCIENCES</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0432">Contaminant and organic biogeochemistry</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0478">Pollution: urban, regional and global</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0500">COMPUTATIONAL GEOPHYSICS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0550">Model verification and validation</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0700">CRYOSPHERE</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/0792">Contaminants</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1800">HYDROLOGY</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1873">Uncertainty assessment</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1900">INFORMATICS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/1990">Uncertainty</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3200">MATHEMATICAL GEOPHYSICS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/3275">Uncertainty quantification</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4200">OCEANOGRAPHY: GENERAL</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4251">Marine pollution</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4300">NATURAL HAZARDS</topic>
<topic authorityURI="http://psi.agu.org/taxonomy5/4325">Megacities and urban environment</topic>
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<topic>Regular Article</topic>
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<identifier type="ISSN">0043-1397</identifier>
<identifier type="eISSN">1944-7973</identifier>
<identifier type="DOI">10.1002/(ISSN)1944-7973</identifier>
<identifier type="CODEN">WRERAQ</identifier>
<identifier type="PublisherID">WRCR</identifier>
<part><date>2009</date>
<detail type="volume"><caption>vol.</caption>
<number>45</number>
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