Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China
Karst rocky desertification is a progressive process of land degradation in karst regions in which soil is severely, or completely, eroded. This process may be caused by natural factors, such as geological structure, and population pressure leading to poor ecosystem health and lagging economic devel...
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| Veröffentlicht in: | Environmental earth sciences 2011-01, Vol.62 (1), p.69-76 |
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| creator | Zhang, Mingyang Wang, Kelin Zhang, Chunhua Chen, Hongsong Liu, Huiyu Yue, Yuemin Luffman, Ingrid Qi, Xiangkun |
| description | Karst rocky desertification is a progressive process of land degradation in karst regions in which soil is severely, or completely, eroded. This process may be caused by natural factors, such as geological structure, and population pressure leading to poor ecosystem health and lagging economic development. Karst rocky desertification is therefore a significant obstacle to sustainable development in southwest China. We applied a radial basis function network model to assess the risk of karst rocky desertification in northwest Guangxi, a typical karst region located in southwest China. Factors known to influence karst rocky desertification were evaluated using remote sensing and geographic information systems techniques to classify the 23 counties in the study area from low to extreme risk of karst rocky desertification. Counties with extreme or strong karst rocky desertification risk (43.48%, nearly half of the study area) were clustered in the north, central and southeast portions of the study area. Counties with low karst rocky desertification (30.43%) were located in the west, northeast and southwest of the study area. The spatial distribution of karst rocky desertification was moderately correlated to population density. |
| doi_str_mv | 10.1007/s12665-010-0498-2 |
| format | Article |
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This process may be caused by natural factors, such as geological structure, and population pressure leading to poor ecosystem health and lagging economic development. Karst rocky desertification is therefore a significant obstacle to sustainable development in southwest China. We applied a radial basis function network model to assess the risk of karst rocky desertification in northwest Guangxi, a typical karst region located in southwest China. Factors known to influence karst rocky desertification were evaluated using remote sensing and geographic information systems techniques to classify the 23 counties in the study area from low to extreme risk of karst rocky desertification. Counties with extreme or strong karst rocky desertification risk (43.48%, nearly half of the study area) were clustered in the north, central and southeast portions of the study area. Counties with low karst rocky desertification (30.43%) were located in the west, northeast and southwest of the study area. The spatial distribution of karst rocky desertification was moderately correlated to population density.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-010-0498-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Applied geophysics ; Aquifers ; Areal geology ; Areal geology. Maps ; Biogeosciences ; Desertification ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Economic development ; Environmental Science and Engineering ; Exact sciences and technology ; Geochemistry ; Geographic information systems ; Geologic maps, cartography ; Geological structures ; Geology ; Groundwater ; Hydrology/Water Resources ; Internal geophysics ; Karst ; Land degradation ; Marine and continental quaternary ; Original Article ; Population density ; Remote sensing ; Risk assessment ; Simulation ; Spatial distribution ; Surficial geology ; Sustainable development ; Terrestrial Pollution</subject><ispartof>Environmental earth sciences, 2011-01, Vol.62 (1), p.69-76</ispartof><rights>Springer-Verlag 2010</rights><rights>2015 INIST-CNRS</rights><rights>Springer-Verlag 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a401t-159b00ab7c41e1c83da012b14c39a3a1460a79bb3353c69a5178e539bfffa3f03</citedby><cites>FETCH-LOGICAL-a401t-159b00ab7c41e1c83da012b14c39a3a1460a79bb3353c69a5178e539bfffa3f03</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/s12665-010-0498-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-010-0498-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23854482$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Mingyang</creatorcontrib><creatorcontrib>Wang, Kelin</creatorcontrib><creatorcontrib>Zhang, Chunhua</creatorcontrib><creatorcontrib>Chen, Hongsong</creatorcontrib><creatorcontrib>Liu, Huiyu</creatorcontrib><creatorcontrib>Yue, Yuemin</creatorcontrib><creatorcontrib>Luffman, Ingrid</creatorcontrib><creatorcontrib>Qi, Xiangkun</creatorcontrib><title>Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>Karst rocky desertification is a progressive process of land degradation in karst regions in which soil is severely, or completely, eroded. This process may be caused by natural factors, such as geological structure, and population pressure leading to poor ecosystem health and lagging economic development. Karst rocky desertification is therefore a significant obstacle to sustainable development in southwest China. We applied a radial basis function network model to assess the risk of karst rocky desertification in northwest Guangxi, a typical karst region located in southwest China. Factors known to influence karst rocky desertification were evaluated using remote sensing and geographic information systems techniques to classify the 23 counties in the study area from low to extreme risk of karst rocky desertification. Counties with extreme or strong karst rocky desertification risk (43.48%, nearly half of the study area) were clustered in the north, central and southeast portions of the study area. Counties with low karst rocky desertification (30.43%) were located in the west, northeast and southwest of the study area. The spatial distribution of karst rocky desertification was moderately correlated to population density.</description><subject>Applied geophysics</subject><subject>Aquifers</subject><subject>Areal geology</subject><subject>Areal geology. Maps</subject><subject>Biogeosciences</subject><subject>Desertification</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth, ocean, space</subject><subject>Economic development</subject><subject>Environmental Science and Engineering</subject><subject>Exact sciences and technology</subject><subject>Geochemistry</subject><subject>Geographic information systems</subject><subject>Geologic maps, cartography</subject><subject>Geological structures</subject><subject>Geology</subject><subject>Groundwater</subject><subject>Hydrology/Water Resources</subject><subject>Internal geophysics</subject><subject>Karst</subject><subject>Land degradation</subject><subject>Marine and continental quaternary</subject><subject>Original Article</subject><subject>Population density</subject><subject>Remote sensing</subject><subject>Risk assessment</subject><subject>Simulation</subject><subject>Spatial distribution</subject><subject>Surficial geology</subject><subject>Sustainable development</subject><subject>Terrestrial Pollution</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kFFrFDEUhQdRsNT-AN-CIPjg6L2TzEzyKItWoeCLfQ53sslu2tmk5s5Q--_NuqWCYF4SyHcOh69pXiN8QIDxI2M3DH0LCC0oo9vuWXOGehjaoTPm-dNbw8vmgvkG6pEoDQxnTbzmmHZi2XtRaBtpFhNxZBHW5JaYk0h-uc_lVhzy1s9iyYKYPbMo2d0-iK1nX5YYoqM_dKyBXJb9vedFXK6Udr_ie7HZx0SvmheBZvYXj_d5c_3l84_N1_bq--W3zaerlhTg0mJvJgCaRqfQo9NyS4DdhMpJQ5JQDUCjmSYpe-kGQz2O2vfSTCEEkgHkefPu1HtX8s-17rCHyM7PMyWfV7YolVYa-rGv6Jt_0Ju8llTXWa0RqjE9VghPkCuZufhg70o8UHmwCPao357026rfHvXbrmbePhYTO5pDoeQiPwU7qXul9JHrThzXr7Tz5e-A_5f_BgvOlMg</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Zhang, Mingyang</creator><creator>Wang, Kelin</creator><creator>Zhang, Chunhua</creator><creator>Chen, Hongsong</creator><creator>Liu, Huiyu</creator><creator>Yue, Yuemin</creator><creator>Luffman, Ingrid</creator><creator>Qi, Xiangkun</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7QH</scope></search><sort><creationdate>20110101</creationdate><title>Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China</title><author>Zhang, Mingyang ; Wang, Kelin ; Zhang, Chunhua ; Chen, Hongsong ; Liu, Huiyu ; Yue, Yuemin ; Luffman, Ingrid ; Qi, Xiangkun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a401t-159b00ab7c41e1c83da012b14c39a3a1460a79bb3353c69a5178e539bfffa3f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied geophysics</topic><topic>Aquifers</topic><topic>Areal geology</topic><topic>Areal geology. Maps</topic><topic>Biogeosciences</topic><topic>Desertification</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth, ocean, space</topic><topic>Economic development</topic><topic>Environmental Science and Engineering</topic><topic>Exact sciences and technology</topic><topic>Geochemistry</topic><topic>Geographic information systems</topic><topic>Geologic maps, cartography</topic><topic>Geological structures</topic><topic>Geology</topic><topic>Groundwater</topic><topic>Hydrology/Water Resources</topic><topic>Internal geophysics</topic><topic>Karst</topic><topic>Land degradation</topic><topic>Marine and continental quaternary</topic><topic>Original Article</topic><topic>Population density</topic><topic>Remote sensing</topic><topic>Risk assessment</topic><topic>Simulation</topic><topic>Spatial distribution</topic><topic>Surficial geology</topic><topic>Sustainable development</topic><topic>Terrestrial Pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Mingyang</creatorcontrib><creatorcontrib>Wang, Kelin</creatorcontrib><creatorcontrib>Zhang, Chunhua</creatorcontrib><creatorcontrib>Chen, Hongsong</creatorcontrib><creatorcontrib>Liu, Huiyu</creatorcontrib><creatorcontrib>Yue, Yuemin</creatorcontrib><creatorcontrib>Luffman, Ingrid</creatorcontrib><creatorcontrib>Qi, Xiangkun</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><jtitle>Environmental earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Mingyang</au><au>Wang, Kelin</au><au>Zhang, Chunhua</au><au>Chen, Hongsong</au><au>Liu, Huiyu</au><au>Yue, Yuemin</au><au>Luffman, Ingrid</au><au>Qi, Xiangkun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China</atitle><jtitle>Environmental earth sciences</jtitle><stitle>Environ Earth Sci</stitle><date>2011-01-01</date><risdate>2011</risdate><volume>62</volume><issue>1</issue><spage>69</spage><epage>76</epage><pages>69-76</pages><issn>1866-6280</issn><eissn>1866-6299</eissn><abstract>Karst rocky desertification is a progressive process of land degradation in karst regions in which soil is severely, or completely, eroded. This process may be caused by natural factors, such as geological structure, and population pressure leading to poor ecosystem health and lagging economic development. Karst rocky desertification is therefore a significant obstacle to sustainable development in southwest China. We applied a radial basis function network model to assess the risk of karst rocky desertification in northwest Guangxi, a typical karst region located in southwest China. Factors known to influence karst rocky desertification were evaluated using remote sensing and geographic information systems techniques to classify the 23 counties in the study area from low to extreme risk of karst rocky desertification. Counties with extreme or strong karst rocky desertification risk (43.48%, nearly half of the study area) were clustered in the north, central and southeast portions of the study area. Counties with low karst rocky desertification (30.43%) were located in the west, northeast and southwest of the study area. The spatial distribution of karst rocky desertification was moderately correlated to population density.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s12665-010-0498-2</doi><tpages>8</tpages></addata></record> |
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| subjects | Applied geophysics Aquifers Areal geology Areal geology. Maps Biogeosciences Desertification Earth and Environmental Science Earth Sciences Earth, ocean, space Economic development Environmental Science and Engineering Exact sciences and technology Geochemistry Geographic information systems Geologic maps, cartography Geological structures Geology Groundwater Hydrology/Water Resources Internal geophysics Karst Land degradation Marine and continental quaternary Original Article Population density Remote sensing Risk assessment Simulation Spatial distribution Surficial geology Sustainable development Terrestrial Pollution |
| title | Using the radial basis function network model to assess rocky desertification in northwest Guangxi, China |
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