Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation
Understanding patterns and seasonal variations of excessive nutrients in surface water from anthropogenic activities is important for pollution control. In this study, we developed an integrated biogeochemical modeling framework for nitrogen exchanges among the atmosphere, terrestrial, and aquatic e...
Gespeichert in:
Veröffentlicht in: | Hydrological Research Letters 2021, Vol.15(3), pp.50-57 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 57 |
---|---|
container_issue | 3 |
container_start_page | 50 |
container_title | Hydrological Research Letters |
container_volume | 15 |
creator | Huang, Yizhou Tokuda, Daisuke Zhou, Xudong Oki, Taikan |
description | Understanding patterns and seasonal variations of excessive nutrients in surface water from anthropogenic activities is important for pollution control. In this study, we developed an integrated biogeochemical modeling framework for nitrogen exchanges among the atmosphere, terrestrial, and aquatic ecosystems. A land surface model, a terrestrial nitrogen cycle model, and a riverine hydrodynamics model incorporated with a river temperature model were consolidated and driven by multiple nitrogen sources related to anthropogenic activities. We estimated the global nitrogen loading and transporting in global rivers, with consideration of seasonal variations, and the validation demonstrates the reliability of the proposed model. The total dissolved inorganic nitrogen (DIN) flow rate is accumulated following rivers and it has high total DIN loads even in regions with low population density but large basin area, such as those at high latitudes. This study successfully improves estimation of nitrogen loading on global scale with consideration of seasonal variation. Our results show consistent trends with the observed data of DIN concentrations in global rivers, where all above variables are greatly affected by seasonal variations. The results also reflect the monthly-variant nitrogen inputs help produce closer DIN concentration estimates to observations, which will possibly stress the need for further study on seasonal variability of anthropogenic emissions. |
doi_str_mv | 10.3178/hrl.15.50 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2557257209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2557257209</sourcerecordid><originalsourceid>FETCH-LOGICAL-c411t-2bbb12f1c1d6051f155e6e4c84d0a1c6431fe10cef0512b0f55971a4d237518c3</originalsourceid><addsrcrecordid>eNpN0FFLwzAQAOAiCs7pg_8g4JMPnbm26TrwRYZOYeCLPoc0vXSZXTIv2Yb_3kp1CAd33H0cxyXJNfBJDtPqbkXdBMRE8JNkBFWVpXkB5em_-jy5CGHNeVnNsnyU4KLzteqYdRFbUhEbtvENdta1zJDa4MHTB_OGkd0jWYessSH4bt9D6zy1ylnNnI3kW3TsYOOKBVTBu37pXpFV0Xp3mZwZ1QW8-s3j5P3p8W3-nC5fFy_zh2WqC4CYZnVdQ2ZAQ1NyAQaEwBILXRUNV6DLIgeDwDWafprV3Agxm4IqmiyfCqh0Pk5uhr1b8p87DFGu_Y76U4LMhJhmffBZr24HpcmHQGjkluxG0ZcELn--KPsvShBS8N7eD3YdomrxKBVFqzv8k_nAj229UiTR5d8Zi30S</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2557257209</pqid></control><display><type>article</type><title>Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation</title><source>J-STAGE Free</source><source>DOAJ Directory of Open Access Journals</source><creator>Huang, Yizhou ; Tokuda, Daisuke ; Zhou, Xudong ; Oki, Taikan</creator><creatorcontrib>Huang, Yizhou ; Tokuda, Daisuke ; Zhou, Xudong ; Oki, Taikan</creatorcontrib><description>Understanding patterns and seasonal variations of excessive nutrients in surface water from anthropogenic activities is important for pollution control. In this study, we developed an integrated biogeochemical modeling framework for nitrogen exchanges among the atmosphere, terrestrial, and aquatic ecosystems. A land surface model, a terrestrial nitrogen cycle model, and a riverine hydrodynamics model incorporated with a river temperature model were consolidated and driven by multiple nitrogen sources related to anthropogenic activities. We estimated the global nitrogen loading and transporting in global rivers, with consideration of seasonal variations, and the validation demonstrates the reliability of the proposed model. The total dissolved inorganic nitrogen (DIN) flow rate is accumulated following rivers and it has high total DIN loads even in regions with low population density but large basin area, such as those at high latitudes. This study successfully improves estimation of nitrogen loading on global scale with consideration of seasonal variation. Our results show consistent trends with the observed data of DIN concentrations in global rivers, where all above variables are greatly affected by seasonal variations. The results also reflect the monthly-variant nitrogen inputs help produce closer DIN concentration estimates to observations, which will possibly stress the need for further study on seasonal variability of anthropogenic emissions.</description><identifier>ISSN: 1882-3416</identifier><identifier>EISSN: 1882-3416</identifier><identifier>DOI: 10.3178/hrl.15.50</identifier><language>eng</language><publisher>Tokyo: Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)</publisher><subject>Anthropogenic factors ; Aquatic ecosystems ; Atmospheric models ; Biogeochemistry ; Computational fluid dynamics ; Flow rates ; Flow velocity ; Fluid flow ; Hydrodynamics ; Land surface models ; Modelling ; Nitrogen ; Nitrogen cycle ; Nitrogen sources ; Nutrients ; Pollution control ; Population density ; Rivers ; Seasonal variability ; Seasonal variation ; Seasonal variations ; Surface water ; Terrestrial environments</subject><ispartof>Hydrological Research Letters, 2021, Vol.15(3), pp.50-57</ispartof><rights>2021 The Author(s) CC-BY 4.0 (Before 2017: Copyright © Japan Society of Hydrology and Water Resources)</rights><rights>Copyright Japan Science and Technology Agency 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-2bbb12f1c1d6051f155e6e4c84d0a1c6431fe10cef0512b0f55971a4d237518c3</citedby><cites>FETCH-LOGICAL-c411t-2bbb12f1c1d6051f155e6e4c84d0a1c6431fe10cef0512b0f55971a4d237518c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,1883,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Huang, Yizhou</creatorcontrib><creatorcontrib>Tokuda, Daisuke</creatorcontrib><creatorcontrib>Zhou, Xudong</creatorcontrib><creatorcontrib>Oki, Taikan</creatorcontrib><title>Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation</title><title>Hydrological Research Letters</title><addtitle>Hydrological Research Letters</addtitle><description>Understanding patterns and seasonal variations of excessive nutrients in surface water from anthropogenic activities is important for pollution control. In this study, we developed an integrated biogeochemical modeling framework for nitrogen exchanges among the atmosphere, terrestrial, and aquatic ecosystems. A land surface model, a terrestrial nitrogen cycle model, and a riverine hydrodynamics model incorporated with a river temperature model were consolidated and driven by multiple nitrogen sources related to anthropogenic activities. We estimated the global nitrogen loading and transporting in global rivers, with consideration of seasonal variations, and the validation demonstrates the reliability of the proposed model. The total dissolved inorganic nitrogen (DIN) flow rate is accumulated following rivers and it has high total DIN loads even in regions with low population density but large basin area, such as those at high latitudes. This study successfully improves estimation of nitrogen loading on global scale with consideration of seasonal variation. Our results show consistent trends with the observed data of DIN concentrations in global rivers, where all above variables are greatly affected by seasonal variations. The results also reflect the monthly-variant nitrogen inputs help produce closer DIN concentration estimates to observations, which will possibly stress the need for further study on seasonal variability of anthropogenic emissions.</description><subject>Anthropogenic factors</subject><subject>Aquatic ecosystems</subject><subject>Atmospheric models</subject><subject>Biogeochemistry</subject><subject>Computational fluid dynamics</subject><subject>Flow rates</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Hydrodynamics</subject><subject>Land surface models</subject><subject>Modelling</subject><subject>Nitrogen</subject><subject>Nitrogen cycle</subject><subject>Nitrogen sources</subject><subject>Nutrients</subject><subject>Pollution control</subject><subject>Population density</subject><subject>Rivers</subject><subject>Seasonal variability</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Surface water</subject><subject>Terrestrial environments</subject><issn>1882-3416</issn><issn>1882-3416</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpN0FFLwzAQAOAiCs7pg_8g4JMPnbm26TrwRYZOYeCLPoc0vXSZXTIv2Yb_3kp1CAd33H0cxyXJNfBJDtPqbkXdBMRE8JNkBFWVpXkB5em_-jy5CGHNeVnNsnyU4KLzteqYdRFbUhEbtvENdta1zJDa4MHTB_OGkd0jWYessSH4bt9D6zy1ylnNnI3kW3TsYOOKBVTBu37pXpFV0Xp3mZwZ1QW8-s3j5P3p8W3-nC5fFy_zh2WqC4CYZnVdQ2ZAQ1NyAQaEwBILXRUNV6DLIgeDwDWafprV3Agxm4IqmiyfCqh0Pk5uhr1b8p87DFGu_Y76U4LMhJhmffBZr24HpcmHQGjkluxG0ZcELn--KPsvShBS8N7eD3YdomrxKBVFqzv8k_nAj229UiTR5d8Zi30S</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Huang, Yizhou</creator><creator>Tokuda, Daisuke</creator><creator>Zhou, Xudong</creator><creator>Oki, Taikan</creator><general>Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>2021</creationdate><title>Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation</title><author>Huang, Yizhou ; Tokuda, Daisuke ; Zhou, Xudong ; Oki, Taikan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-2bbb12f1c1d6051f155e6e4c84d0a1c6431fe10cef0512b0f55971a4d237518c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Anthropogenic factors</topic><topic>Aquatic ecosystems</topic><topic>Atmospheric models</topic><topic>Biogeochemistry</topic><topic>Computational fluid dynamics</topic><topic>Flow rates</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Hydrodynamics</topic><topic>Land surface models</topic><topic>Modelling</topic><topic>Nitrogen</topic><topic>Nitrogen cycle</topic><topic>Nitrogen sources</topic><topic>Nutrients</topic><topic>Pollution control</topic><topic>Population density</topic><topic>Rivers</topic><topic>Seasonal variability</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Surface water</topic><topic>Terrestrial environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Yizhou</creatorcontrib><creatorcontrib>Tokuda, Daisuke</creatorcontrib><creatorcontrib>Zhou, Xudong</creatorcontrib><creatorcontrib>Oki, Taikan</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Hydrological Research Letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Yizhou</au><au>Tokuda, Daisuke</au><au>Zhou, Xudong</au><au>Oki, Taikan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation</atitle><jtitle>Hydrological Research Letters</jtitle><addtitle>Hydrological Research Letters</addtitle><date>2021</date><risdate>2021</risdate><volume>15</volume><issue>3</issue><spage>50</spage><epage>57</epage><pages>50-57</pages><issn>1882-3416</issn><eissn>1882-3416</eissn><abstract>Understanding patterns and seasonal variations of excessive nutrients in surface water from anthropogenic activities is important for pollution control. In this study, we developed an integrated biogeochemical modeling framework for nitrogen exchanges among the atmosphere, terrestrial, and aquatic ecosystems. A land surface model, a terrestrial nitrogen cycle model, and a riverine hydrodynamics model incorporated with a river temperature model were consolidated and driven by multiple nitrogen sources related to anthropogenic activities. We estimated the global nitrogen loading and transporting in global rivers, with consideration of seasonal variations, and the validation demonstrates the reliability of the proposed model. The total dissolved inorganic nitrogen (DIN) flow rate is accumulated following rivers and it has high total DIN loads even in regions with low population density but large basin area, such as those at high latitudes. This study successfully improves estimation of nitrogen loading on global scale with consideration of seasonal variation. Our results show consistent trends with the observed data of DIN concentrations in global rivers, where all above variables are greatly affected by seasonal variations. The results also reflect the monthly-variant nitrogen inputs help produce closer DIN concentration estimates to observations, which will possibly stress the need for further study on seasonal variability of anthropogenic emissions.</abstract><cop>Tokyo</cop><pub>Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)</pub><doi>10.3178/hrl.15.50</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1882-3416 |
ispartof | Hydrological Research Letters, 2021, Vol.15(3), pp.50-57 |
issn | 1882-3416 1882-3416 |
language | eng |
recordid | cdi_proquest_journals_2557257209 |
source | J-STAGE Free; DOAJ Directory of Open Access Journals |
subjects | Anthropogenic factors Aquatic ecosystems Atmospheric models Biogeochemistry Computational fluid dynamics Flow rates Flow velocity Fluid flow Hydrodynamics Land surface models Modelling Nitrogen Nitrogen cycle Nitrogen sources Nutrients Pollution control Population density Rivers Seasonal variability Seasonal variation Seasonal variations Surface water Terrestrial environments |
title | Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T12%3A23%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Global%20integrated%20modeling%20framework%20of%20riverine%20dissolved%20inorganic%20nitrogen%20with%20seasonal%20variation&rft.jtitle=Hydrological%20Research%20Letters&rft.au=Huang,%20Yizhou&rft.date=2021&rft.volume=15&rft.issue=3&rft.spage=50&rft.epage=57&rft.pages=50-57&rft.issn=1882-3416&rft.eissn=1882-3416&rft_id=info:doi/10.3178/hrl.15.50&rft_dat=%3Cproquest_cross%3E2557257209%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2557257209&rft_id=info:pmid/&rfr_iscdi=true |