Kinetic theory for aquatic animal distribution simulation
Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management...
Gespeichert in:
| Veröffentlicht in: | Science China. Technological sciences 2016-12, Vol.59 (12), p.1856-1866 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1866 |
|---|---|
| container_issue | 12 |
| container_start_page | 1856 |
| container_title | Science China. Technological sciences |
| container_volume | 59 |
| creator | Fang, HongWei Dai, DongChen Li, SongHeng He, GuoJian Huang, Lei Peng, WenQi |
| description | Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management. This paper described a new approach of the numerical model for the prediction of the aquatic animal distribution in the flows. The model was developed based on the kinetic theory of gases, the mechanism of the aquatic animal movement and the flow hydrodynamic patterns. The model was validated using the available experimental data and an acceptable agreement was obtained. A comprehensive parameter study was then conducted to help understand the impact and the sensitivity of each parameter to the aquatic animal distribution. The promising results of the model reveal the prospect of applying this model to the reliable prediction of the aquatic animal distribution within a relatively large water area. |
| doi_str_mv | 10.1007/s11431-015-0690-y |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1880822237</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>670775278</cqvip_id><sourcerecordid>1880822237</sourcerecordid><originalsourceid>FETCH-LOGICAL-c343t-8e22135dd00ca80c90371c76360187daad76c0fb8cc4a70a167c95bbce0f95d43</originalsourceid><addsrcrecordid>eNp9UDtPwzAQthBIVKU_gC2C2XBnJ7E9ooqXqMQCs-U4TpsqTVo7GfLvcZQKMXHLnU7fSx8htwgPCCAeA2LKkQJmFHIFdLwgC5S5oqgALuOdi5QKzvCarELYQxwuFWC6IOqjbl1f26Tfuc6PSdX5xJwGM71MWx9Mk5R16H1dDH3dtUmoD0NjpvOGXFWmCW513kvy_fL8tX6jm8_X9_XThlqe8p5KxxjyrCwBrJFgFXCBVuQ8B5SiNKYUuYWqkNamRoCJWa3KisI6qFRWpnxJ7mfdo-9Ogwu93neDb6OlRilBMsa4iCicUdZ3IXhX6aOP6f2oEfRUkp5L0rEkPZWkx8hhMydEbLt1_o_yP6S7s9Gua7enyPt1ygUIkTEh-Q890HUq</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1880822237</pqid></control><display><type>article</type><title>Kinetic theory for aquatic animal distribution simulation</title><source>SpringerNature Journals</source><source>Alma/SFX Local Collection</source><creator>Fang, HongWei ; Dai, DongChen ; Li, SongHeng ; He, GuoJian ; Huang, Lei ; Peng, WenQi</creator><creatorcontrib>Fang, HongWei ; Dai, DongChen ; Li, SongHeng ; He, GuoJian ; Huang, Lei ; Peng, WenQi</creatorcontrib><description>Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management. This paper described a new approach of the numerical model for the prediction of the aquatic animal distribution in the flows. The model was developed based on the kinetic theory of gases, the mechanism of the aquatic animal movement and the flow hydrodynamic patterns. The model was validated using the available experimental data and an acceptable agreement was obtained. A comprehensive parameter study was then conducted to help understand the impact and the sensitivity of each parameter to the aquatic animal distribution. The promising results of the model reveal the prospect of applying this model to the reliable prediction of the aquatic animal distribution within a relatively large water area.</description><identifier>ISSN: 1674-7321</identifier><identifier>EISSN: 1869-1900</identifier><identifier>DOI: 10.1007/s11431-015-0690-y</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Aquatic animals ; Computer simulation ; Engineering ; Fisheries ; Kinetic theory ; Mathematical models ; Parameter sensitivity ; Populations ; Water resources management ; 分布模拟 ; 动力学理论 ; 动物分布 ; 数值模型 ; 水生动物 ; 水资源管理 ; 空间动态 ; 空间模式</subject><ispartof>Science China. Technological sciences, 2016-12, Vol.59 (12), p.1856-1866</ispartof><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2016</rights><rights>Copyright Springer Science & Business Media 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-8e22135dd00ca80c90371c76360187daad76c0fb8cc4a70a167c95bbce0f95d43</citedby><cites>FETCH-LOGICAL-c343t-8e22135dd00ca80c90371c76360187daad76c0fb8cc4a70a167c95bbce0f95d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/60110X/60110X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11431-015-0690-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11431-015-0690-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids></links><search><creatorcontrib>Fang, HongWei</creatorcontrib><creatorcontrib>Dai, DongChen</creatorcontrib><creatorcontrib>Li, SongHeng</creatorcontrib><creatorcontrib>He, GuoJian</creatorcontrib><creatorcontrib>Huang, Lei</creatorcontrib><creatorcontrib>Peng, WenQi</creatorcontrib><title>Kinetic theory for aquatic animal distribution simulation</title><title>Science China. Technological sciences</title><addtitle>Sci. China Technol. Sci</addtitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><description>Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management. This paper described a new approach of the numerical model for the prediction of the aquatic animal distribution in the flows. The model was developed based on the kinetic theory of gases, the mechanism of the aquatic animal movement and the flow hydrodynamic patterns. The model was validated using the available experimental data and an acceptable agreement was obtained. A comprehensive parameter study was then conducted to help understand the impact and the sensitivity of each parameter to the aquatic animal distribution. The promising results of the model reveal the prospect of applying this model to the reliable prediction of the aquatic animal distribution within a relatively large water area.</description><subject>Aquatic animals</subject><subject>Computer simulation</subject><subject>Engineering</subject><subject>Fisheries</subject><subject>Kinetic theory</subject><subject>Mathematical models</subject><subject>Parameter sensitivity</subject><subject>Populations</subject><subject>Water resources management</subject><subject>分布模拟</subject><subject>动力学理论</subject><subject>动物分布</subject><subject>数值模型</subject><subject>水生动物</subject><subject>水资源管理</subject><subject>空间动态</subject><subject>空间模式</subject><issn>1674-7321</issn><issn>1869-1900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9UDtPwzAQthBIVKU_gC2C2XBnJ7E9ooqXqMQCs-U4TpsqTVo7GfLvcZQKMXHLnU7fSx8htwgPCCAeA2LKkQJmFHIFdLwgC5S5oqgALuOdi5QKzvCarELYQxwuFWC6IOqjbl1f26Tfuc6PSdX5xJwGM71MWx9Mk5R16H1dDH3dtUmoD0NjpvOGXFWmCW513kvy_fL8tX6jm8_X9_XThlqe8p5KxxjyrCwBrJFgFXCBVuQ8B5SiNKYUuYWqkNamRoCJWa3KisI6qFRWpnxJ7mfdo-9Ogwu93neDb6OlRilBMsa4iCicUdZ3IXhX6aOP6f2oEfRUkp5L0rEkPZWkx8hhMydEbLt1_o_yP6S7s9Gua7enyPt1ygUIkTEh-Q890HUq</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Fang, HongWei</creator><creator>Dai, DongChen</creator><creator>Li, SongHeng</creator><creator>He, GuoJian</creator><creator>Huang, Lei</creator><creator>Peng, WenQi</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20161201</creationdate><title>Kinetic theory for aquatic animal distribution simulation</title><author>Fang, HongWei ; Dai, DongChen ; Li, SongHeng ; He, GuoJian ; Huang, Lei ; Peng, WenQi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-8e22135dd00ca80c90371c76360187daad76c0fb8cc4a70a167c95bbce0f95d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aquatic animals</topic><topic>Computer simulation</topic><topic>Engineering</topic><topic>Fisheries</topic><topic>Kinetic theory</topic><topic>Mathematical models</topic><topic>Parameter sensitivity</topic><topic>Populations</topic><topic>Water resources management</topic><topic>分布模拟</topic><topic>动力学理论</topic><topic>动物分布</topic><topic>数值模型</topic><topic>水生动物</topic><topic>水资源管理</topic><topic>空间动态</topic><topic>空间模式</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, HongWei</creatorcontrib><creatorcontrib>Dai, DongChen</creatorcontrib><creatorcontrib>Li, SongHeng</creatorcontrib><creatorcontrib>He, GuoJian</creatorcontrib><creatorcontrib>Huang, Lei</creatorcontrib><creatorcontrib>Peng, WenQi</creatorcontrib><collection>维普_期刊</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>维普中文期刊数据库</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><jtitle>Science China. Technological sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, HongWei</au><au>Dai, DongChen</au><au>Li, SongHeng</au><au>He, GuoJian</au><au>Huang, Lei</au><au>Peng, WenQi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Kinetic theory for aquatic animal distribution simulation</atitle><jtitle>Science China. Technological sciences</jtitle><stitle>Sci. China Technol. Sci</stitle><addtitle>SCIENCE CHINA Technological Sciences</addtitle><date>2016-12-01</date><risdate>2016</risdate><volume>59</volume><issue>12</issue><spage>1856</spage><epage>1866</epage><pages>1856-1866</pages><issn>1674-7321</issn><eissn>1869-1900</eissn><abstract>Identifying the underlying mechanisms that influence the spatial patterns in populations improves the forecasts of the alternative management strategies on the spatial dynamics of the populations, which are critical for assessing and managing the fisheries and improving the water resource management. This paper described a new approach of the numerical model for the prediction of the aquatic animal distribution in the flows. The model was developed based on the kinetic theory of gases, the mechanism of the aquatic animal movement and the flow hydrodynamic patterns. The model was validated using the available experimental data and an acceptable agreement was obtained. A comprehensive parameter study was then conducted to help understand the impact and the sensitivity of each parameter to the aquatic animal distribution. The promising results of the model reveal the prospect of applying this model to the reliable prediction of the aquatic animal distribution within a relatively large water area.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11431-015-0690-y</doi><tpages>11</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1674-7321 |
| ispartof | Science China. Technological sciences, 2016-12, Vol.59 (12), p.1856-1866 |
| issn | 1674-7321 1869-1900 |
| language | eng |
| recordid | cdi_proquest_journals_1880822237 |
| source | SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Aquatic animals Computer simulation Engineering Fisheries Kinetic theory Mathematical models Parameter sensitivity Populations Water resources management 分布模拟 动力学理论 动物分布 数值模型 水生动物 水资源管理 空间动态 空间模式 |
| title | Kinetic theory for aquatic animal distribution simulation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T16%3A58%3A00IST&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=Kinetic%20theory%20for%20aquatic%20animal%20distribution%20simulation&rft.jtitle=Science%20China.%20Technological%20sciences&rft.au=Fang,%20HongWei&rft.date=2016-12-01&rft.volume=59&rft.issue=12&rft.spage=1856&rft.epage=1866&rft.pages=1856-1866&rft.issn=1674-7321&rft.eissn=1869-1900&rft_id=info:doi/10.1007/s11431-015-0690-y&rft_dat=%3Cproquest_cross%3E1880822237%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=1880822237&rft_id=info:pmid/&rft_cqvip_id=670775278&rfr_iscdi=true |