Transport and distribution of manganese in tidal estuarine system in Taiwan
Based on the observed heavy metals in the Danshui River estuarine system, the concentration of manganese (Mn) exceeds the water quality standards. High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair...
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| description | Based on the observed heavy metals in the Danshui River estuarine system, the concentration of manganese (Mn) exceeds the water quality standards. High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair the immunological functions of fish. Therefore, a three-dimensional heavy metal transport model was developed and incorporated into the hydrodynamics, salinity, and suspended sediment transport model to evaluate the concentration distribution of the heavy metal manganese (Mn) in the Danshui River estuarine system of northern Taiwan. The model was validated with observational data for water level, tidal current, salinity, suspended sediment concentration, and heavy metal (Mn) concentration that was measured in 2015. The indicators of statistical error, including mean absolute error (MAE), root mean square error (RMSE), and skill score (SS), were adopted to evaluate the model performance. There was good quantitative agreement between the simulation results and measurements. Sensitivity analysis of suspended sediment and heavy metal transport model was carried out to understand which parameters were important to be cautiously determined. Furthermore, the validated model was used to investigate the influence of suspended sediment on the concentration distribution of heavy metals (Mn) in tidal estuaries. If the suspended sediment transport module was excluded in model simulations, the predicted results for the heavy metal (Mn) concentration underestimated the measured data. The modeling results showed that the inclusion of the suspended sediment transport module in the model simulations was critically important to the results of the heavy metal (Mn) concentration in the tidal estuarine system in Taiwan. |
| doi_str_mv | 10.1007/s11356-019-06797-1 |
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High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair the immunological functions of fish. Therefore, a three-dimensional heavy metal transport model was developed and incorporated into the hydrodynamics, salinity, and suspended sediment transport model to evaluate the concentration distribution of the heavy metal manganese (Mn) in the Danshui River estuarine system of northern Taiwan. The model was validated with observational data for water level, tidal current, salinity, suspended sediment concentration, and heavy metal (Mn) concentration that was measured in 2015. The indicators of statistical error, including mean absolute error (MAE), root mean square error (RMSE), and skill score (SS), were adopted to evaluate the model performance. There was good quantitative agreement between the simulation results and measurements. Sensitivity analysis of suspended sediment and heavy metal transport model was carried out to understand which parameters were important to be cautiously determined. Furthermore, the validated model was used to investigate the influence of suspended sediment on the concentration distribution of heavy metals (Mn) in tidal estuaries. If the suspended sediment transport module was excluded in model simulations, the predicted results for the heavy metal (Mn) concentration underestimated the measured data. The modeling results showed that the inclusion of the suspended sediment transport module in the model simulations was critically important to the results of the heavy metal (Mn) concentration in the tidal estuarine system in Taiwan.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-019-06797-1</identifier><identifier>PMID: 31802339</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic environment ; Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Carbohydrates ; Computational fluid dynamics ; Computer simulation ; Earth and Environmental Science ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental Monitoring ; Environmental science ; Environmental Sciences ; Environmental Sciences & Ecology ; Estuaries ; Fluid flow ; Geologic Sediments - analysis ; Heavy metals ; Hydrodynamics ; Immunology ; Ions - analysis ; Life Sciences & Biomedicine ; Manganese ; Manganese - analysis ; Metal concentrations ; Metals, Heavy - analysis ; Modules ; Performance evaluation ; Quality standards ; Research Article ; Rivers ; Root-mean-square errors ; Salinity ; Salinity effects ; Science & Technology ; Sediment concentration ; Sediment transport ; Sensitivity analysis ; Suspended sediments ; Taiwan ; Three dimensional models ; Tidal currents ; Waste Water Technology ; Water levels ; Water Management ; Water Pollutants, Chemical - analysis ; Water Pollution Control ; Water Quality ; Water quality standards</subject><ispartof>Environmental science and pollution research international, 2020, Vol.27 (1), p.510-531</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000500624600001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c412t-d42fc45071e201e65517d7c0e3bee314f1e4f7abb68b721126a7a5c1a8dba67e3</citedby><cites>FETCH-LOGICAL-c412t-d42fc45071e201e65517d7c0e3bee314f1e4f7abb68b721126a7a5c1a8dba67e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-019-06797-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-019-06797-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31802339$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Wen-Cheng</creatorcontrib><creatorcontrib>Ken, Poi-Jiu</creatorcontrib><creatorcontrib>Liu, Hong-Ming</creatorcontrib><title>Transport and distribution of manganese in tidal estuarine system in Taiwan</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>ENVIRON SCI POLLUT R</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>Based on the observed heavy metals in the Danshui River estuarine system, the concentration of manganese (Mn) exceeds the water quality standards. High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair the immunological functions of fish. Therefore, a three-dimensional heavy metal transport model was developed and incorporated into the hydrodynamics, salinity, and suspended sediment transport model to evaluate the concentration distribution of the heavy metal manganese (Mn) in the Danshui River estuarine system of northern Taiwan. The model was validated with observational data for water level, tidal current, salinity, suspended sediment concentration, and heavy metal (Mn) concentration that was measured in 2015. The indicators of statistical error, including mean absolute error (MAE), root mean square error (RMSE), and skill score (SS), were adopted to evaluate the model performance. There was good quantitative agreement between the simulation results and measurements. Sensitivity analysis of suspended sediment and heavy metal transport model was carried out to understand which parameters were important to be cautiously determined. Furthermore, the validated model was used to investigate the influence of suspended sediment on the concentration distribution of heavy metals (Mn) in tidal estuaries. If the suspended sediment transport module was excluded in model simulations, the predicted results for the heavy metal (Mn) concentration underestimated the measured data. The modeling results showed that the inclusion of the suspended sediment transport module in the model simulations was critically important to the results of the heavy metal (Mn) concentration in the tidal estuarine system in Taiwan.</description><subject>Aquatic environment</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbohydrates</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Estuaries</subject><subject>Fluid flow</subject><subject>Geologic Sediments - analysis</subject><subject>Heavy metals</subject><subject>Hydrodynamics</subject><subject>Immunology</subject><subject>Ions - analysis</subject><subject>Life Sciences & Biomedicine</subject><subject>Manganese</subject><subject>Manganese - analysis</subject><subject>Metal concentrations</subject><subject>Metals, Heavy - analysis</subject><subject>Modules</subject><subject>Performance evaluation</subject><subject>Quality standards</subject><subject>Research Article</subject><subject>Rivers</subject><subject>Root-mean-square errors</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Science & Technology</subject><subject>Sediment concentration</subject><subject>Sediment transport</subject><subject>Sensitivity analysis</subject><subject>Suspended sediments</subject><subject>Taiwan</subject><subject>Three dimensional models</subject><subject>Tidal currents</subject><subject>Waste Water Technology</subject><subject>Water levels</subject><subject>Water Management</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollution Control</subject><subject>Water Quality</subject><subject>Water quality standards</subject><issn>0944-1344</issn><issn>1614-7499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU9r3DAQxUVpaTZpv0APxdBLITiZkWTJPpal_0ggl-1ZyPY4KKylrSQT8u2jrdMUeig9jWB-7_HmibF3CBcIoC8TomhUDdjVoHSna3zBNqhQ1lp23Uu2gU7KGoWUJ-w0pTsADh3Xr9mJwBa4EN2GXe2i9ekQYq6sH6vRpRxdv2QXfBWmarb-1npKVDlfZTfafUUpLzY6T1V6SJnm42Zn3b31b9irye4TvX2aZ-zHl8-77bf6-ubr9-2n63qQyHM9Sj4NsgGNxAFJNQ3qUQ9AoicSKCckOWnb96rtNUfkymrbDGjbsbdKkzhjH1ffQww_l5LHzC4NtN-XpGFJhgvOUQrgbUE__IXehSX6kq5QUnDZFf9C8ZUaYkgp0mQO0c02PhgEc6zarFWbUrX5VbXBInr_ZL30M43Pkt_dFuB8Be6pD1MaHPmBnjEAaAAUl6q84GjX_j-9ddkev2gbFp-LVKzSVHB_S_HPkf_I_wilVqlp</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Liu, Wen-Cheng</creator><creator>Ken, Poi-Jiu</creator><creator>Liu, Hong-Ming</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SN</scope><scope>7T7</scope><scope>7TV</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>2020</creationdate><title>Transport and distribution of manganese in tidal estuarine system in Taiwan</title><author>Liu, Wen-Cheng ; Ken, Poi-Jiu ; Liu, Hong-Ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-d42fc45071e201e65517d7c0e3bee314f1e4f7abb68b721126a7a5c1a8dba67e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aquatic environment</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Carbohydrates</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Health</topic><topic>Environmental Monitoring</topic><topic>Environmental science</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Estuaries</topic><topic>Fluid flow</topic><topic>Geologic Sediments - 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Academic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Wen-Cheng</au><au>Ken, Poi-Jiu</au><au>Liu, Hong-Ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transport and distribution of manganese in tidal estuarine system in Taiwan</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><stitle>ENVIRON SCI POLLUT R</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2020</date><risdate>2020</risdate><volume>27</volume><issue>1</issue><spage>510</spage><epage>531</epage><pages>510-531</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>Based on the observed heavy metals in the Danshui River estuarine system, the concentration of manganese (Mn) exceeds the water quality standards. High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair the immunological functions of fish. Therefore, a three-dimensional heavy metal transport model was developed and incorporated into the hydrodynamics, salinity, and suspended sediment transport model to evaluate the concentration distribution of the heavy metal manganese (Mn) in the Danshui River estuarine system of northern Taiwan. The model was validated with observational data for water level, tidal current, salinity, suspended sediment concentration, and heavy metal (Mn) concentration that was measured in 2015. The indicators of statistical error, including mean absolute error (MAE), root mean square error (RMSE), and skill score (SS), were adopted to evaluate the model performance. There was good quantitative agreement between the simulation results and measurements. Sensitivity analysis of suspended sediment and heavy metal transport model was carried out to understand which parameters were important to be cautiously determined. Furthermore, the validated model was used to investigate the influence of suspended sediment on the concentration distribution of heavy metals (Mn) in tidal estuaries. If the suspended sediment transport module was excluded in model simulations, the predicted results for the heavy metal (Mn) concentration underestimated the measured data. The modeling results showed that the inclusion of the suspended sediment transport module in the model simulations was critically important to the results of the heavy metal (Mn) concentration in the tidal estuarine system in Taiwan.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31802339</pmid><doi>10.1007/s11356-019-06797-1</doi><tpages>22</tpages></addata></record> |
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| subjects | Aquatic environment Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Carbohydrates Computational fluid dynamics Computer simulation Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring Environmental science Environmental Sciences Environmental Sciences & Ecology Estuaries Fluid flow Geologic Sediments - analysis Heavy metals Hydrodynamics Immunology Ions - analysis Life Sciences & Biomedicine Manganese Manganese - analysis Metal concentrations Metals, Heavy - analysis Modules Performance evaluation Quality standards Research Article Rivers Root-mean-square errors Salinity Salinity effects Science & Technology Sediment concentration Sediment transport Sensitivity analysis Suspended sediments Taiwan Three dimensional models Tidal currents Waste Water Technology Water levels Water Management Water Pollutants, Chemical - analysis Water Pollution Control Water Quality Water quality standards |
| title | Transport and distribution of manganese in tidal estuarine system in Taiwan |
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