Spatio-temporal Variations of Evapotranspiration in Anhui Province Based on MOD16 Products
Based on the MOD 16 data products in 2000-2014, statistical analysis was made to the spatial-temporal distribution characteristics and variation rules of evapotranspiration in Anhui in the time scales of year and month, and the evapotranspiration for different land use types to study the monthly dis...
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Veröffentlicht in: | Hunan agricultural science & technology newsletter : HASTN 2017-11, Vol.18 (11), p.2092-2105 |
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description | Based on the MOD 16 data products in 2000-2014, statistical analysis was made to the spatial-temporal distribution characteristics and variation rules of evapotranspiration in Anhui in the time scales of year and month, and the evapotranspiration for different land use types to study the monthly distribution features and variation rules of evapotranspiration for different land use types in Anhui with the support of remote sensing processing system of ENVI combined with the margin vector map and land use vector map, with the aim to provide scientific basis for the study on the causes of drought and flood disasters and the ecological water demand, as well as to provide references to strengthen water resources management and water high efficient use. According to the location of Anhui and the arrangement of data tracks of MOD 16 products, the 8mages covered the whole province (114° E-120° E, 35° N -29° N) were selected, which were the data w8th the gr8d numbers of h27v05, h27v06, h28v05, h28v06, time series of January-December of 2000-2014. S8nce PET was the evapotransp8rat8on under suff8c8ent water cond8t8ons, wh8le ET was the actual evapotranspiration, the d8fference between ET and PET could show the land surface water shortage and drought s8tuat8on 8n Anhu8. [...]8t showed that Anhu8 was 8n the drought and water shortage situation on the whole, with the maximum value of 730.6 mm occurring in 2003 and m8n8mum value of 647.6 mm occurring in 2011. [...]the mountainous areas in south Anhui and Dabie mountains were relatively stable, because the plains north of Huai River were dominated by farmland and plains, where the planning zones of crops had seasonal changes. [...]crop growth was also greatly affected by urbanization, drought and flood weather conditions. |
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According to the location of Anhui and the arrangement of data tracks of MOD 16 products, the 8mages covered the whole province (114° E-120° E, 35° N -29° N) were selected, which were the data w8th the gr8d numbers of h27v05, h27v06, h28v05, h28v06, time series of January-December of 2000-2014. S8nce PET was the evapotransp8rat8on under suff8c8ent water cond8t8ons, wh8le ET was the actual evapotranspiration, the d8fference between ET and PET could show the land surface water shortage and drought s8tuat8on 8n Anhu8. [...]8t showed that Anhu8 was 8n the drought and water shortage situation on the whole, with the maximum value of 730.6 mm occurring in 2003 and m8n8mum value of 647.6 mm occurring in 2011. [...]the mountainous areas in south Anhui and Dabie mountains were relatively stable, because the plains north of Huai River were dominated by farmland and plains, where the planning zones of crops had seasonal changes. [...]crop growth was also greatly affected by urbanization, drought and flood weather conditions.</description><identifier>ISSN: 1009-4229</identifier><language>eng</language><publisher>Changsha: Wu Chu (USA-China) Science and Culture Media Corporation</publisher><subject>Agricultural land ; Annual variations ; Crop growth ; Crops ; Disasters ; Drought ; Ecological effects ; Evapotranspiration ; Fire protection ; Floods ; Forest & brush fires ; Grasslands ; Land use ; Monthly distribution ; Mountainous areas ; Mountains ; Precipitation ; Remote sensing ; Resource management ; Rivers ; Seasonal variations ; Statistical analysis ; Surface water ; Temporal distribution ; Temporal variations ; Trends ; Urbanization ; Vegetation ; Water demand ; Water management ; Water resources ; Water resources management ; Water shortages ; Weather</subject><ispartof>Hunan agricultural science & technology newsletter : HASTN, 2017-11, Vol.18 (11), p.2092-2105</ispartof><rights>Copyright Wu Chu (USA-China) Science and Culture Media Corporation Nov 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786</link.rule.ids></links><search><creatorcontrib>Huang, Feiyu</creatorcontrib><creatorcontrib>He, Binfang</creatorcontrib><creatorcontrib>Wang, Xiang</creatorcontrib><creatorcontrib>Huang, Yang</creatorcontrib><title>Spatio-temporal Variations of Evapotranspiration in Anhui Province Based on MOD16 Products</title><title>Hunan agricultural science & technology newsletter : HASTN</title><description>Based on the MOD 16 data products in 2000-2014, statistical analysis was made to the spatial-temporal distribution characteristics and variation rules of evapotranspiration in Anhui in the time scales of year and month, and the evapotranspiration for different land use types to study the monthly distribution features and variation rules of evapotranspiration for different land use types in Anhui with the support of remote sensing processing system of ENVI combined with the margin vector map and land use vector map, with the aim to provide scientific basis for the study on the causes of drought and flood disasters and the ecological water demand, as well as to provide references to strengthen water resources management and water high efficient use. According to the location of Anhui and the arrangement of data tracks of MOD 16 products, the 8mages covered the whole province (114° E-120° E, 35° N -29° N) were selected, which were the data w8th the gr8d numbers of h27v05, h27v06, h28v05, h28v06, time series of January-December of 2000-2014. S8nce PET was the evapotransp8rat8on under suff8c8ent water cond8t8ons, wh8le ET was the actual evapotranspiration, the d8fference between ET and PET could show the land surface water shortage and drought s8tuat8on 8n Anhu8. [...]8t showed that Anhu8 was 8n the drought and water shortage situation on the whole, with the maximum value of 730.6 mm occurring in 2003 and m8n8mum value of 647.6 mm occurring in 2011. [...]the mountainous areas in south Anhui and Dabie mountains were relatively stable, because the plains north of Huai River were dominated by farmland and plains, where the planning zones of crops had seasonal changes. [...]crop growth was also greatly affected by urbanization, drought and flood weather conditions.</description><subject>Agricultural land</subject><subject>Annual variations</subject><subject>Crop growth</subject><subject>Crops</subject><subject>Disasters</subject><subject>Drought</subject><subject>Ecological effects</subject><subject>Evapotranspiration</subject><subject>Fire protection</subject><subject>Floods</subject><subject>Forest & brush fires</subject><subject>Grasslands</subject><subject>Land use</subject><subject>Monthly distribution</subject><subject>Mountainous areas</subject><subject>Mountains</subject><subject>Precipitation</subject><subject>Remote sensing</subject><subject>Resource management</subject><subject>Rivers</subject><subject>Seasonal variations</subject><subject>Statistical analysis</subject><subject>Surface water</subject><subject>Temporal distribution</subject><subject>Temporal variations</subject><subject>Trends</subject><subject>Urbanization</subject><subject>Vegetation</subject><subject>Water demand</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water shortages</subject><subject>Weather</subject><issn>1009-4229</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNjr0KwjAURjMoWLTvcMG5kEQpzehPxUUUFAeXEtoUU2oSc9M-v634AE4fnHOGb0IiRqlI1pyLGYkRG0opS1PORBaRx9XJoG0S1MtZL1u4S69HYhBsDXkvnQ1eGnTafzFoAxvz7DRcvO21KRVsJaoKBnU671k68qorAy7ItJYtqvi3c7I85LfdMXHevjuFoWhs582gCs6HRywTlK7-qz4xW0JI</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Huang, Feiyu</creator><creator>He, Binfang</creator><creator>Wang, Xiang</creator><creator>Huang, Yang</creator><general>Wu Chu (USA-China) Science and Culture Media Corporation</general><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20171101</creationdate><title>Spatio-temporal Variations of Evapotranspiration in Anhui Province Based on MOD16 Products</title><author>Huang, Feiyu ; He, Binfang ; Wang, Xiang ; Huang, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_22016189003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Agricultural land</topic><topic>Annual variations</topic><topic>Crop growth</topic><topic>Crops</topic><topic>Disasters</topic><topic>Drought</topic><topic>Ecological effects</topic><topic>Evapotranspiration</topic><topic>Fire protection</topic><topic>Floods</topic><topic>Forest & brush fires</topic><topic>Grasslands</topic><topic>Land use</topic><topic>Monthly distribution</topic><topic>Mountainous areas</topic><topic>Mountains</topic><topic>Precipitation</topic><topic>Remote sensing</topic><topic>Resource management</topic><topic>Rivers</topic><topic>Seasonal variations</topic><topic>Statistical analysis</topic><topic>Surface water</topic><topic>Temporal distribution</topic><topic>Temporal variations</topic><topic>Trends</topic><topic>Urbanization</topic><topic>Vegetation</topic><topic>Water demand</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water shortages</topic><topic>Weather</topic><toplevel>online_resources</toplevel><creatorcontrib>Huang, Feiyu</creatorcontrib><creatorcontrib>He, Binfang</creatorcontrib><creatorcontrib>Wang, Xiang</creatorcontrib><creatorcontrib>Huang, Yang</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Agricultural 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>ProQuest Central China</collection><jtitle>Hunan agricultural science & technology newsletter : HASTN</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Feiyu</au><au>He, Binfang</au><au>Wang, Xiang</au><au>Huang, Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-temporal Variations of Evapotranspiration in Anhui Province Based on MOD16 Products</atitle><jtitle>Hunan agricultural science & technology newsletter : HASTN</jtitle><date>2017-11-01</date><risdate>2017</risdate><volume>18</volume><issue>11</issue><spage>2092</spage><epage>2105</epage><pages>2092-2105</pages><issn>1009-4229</issn><abstract>Based on the MOD 16 data products in 2000-2014, statistical analysis was made to the spatial-temporal distribution characteristics and variation rules of evapotranspiration in Anhui in the time scales of year and month, and the evapotranspiration for different land use types to study the monthly distribution features and variation rules of evapotranspiration for different land use types in Anhui with the support of remote sensing processing system of ENVI combined with the margin vector map and land use vector map, with the aim to provide scientific basis for the study on the causes of drought and flood disasters and the ecological water demand, as well as to provide references to strengthen water resources management and water high efficient use. According to the location of Anhui and the arrangement of data tracks of MOD 16 products, the 8mages covered the whole province (114° E-120° E, 35° N -29° N) were selected, which were the data w8th the gr8d numbers of h27v05, h27v06, h28v05, h28v06, time series of January-December of 2000-2014. S8nce PET was the evapotransp8rat8on under suff8c8ent water cond8t8ons, wh8le ET was the actual evapotranspiration, the d8fference between ET and PET could show the land surface water shortage and drought s8tuat8on 8n Anhu8. [...]8t showed that Anhu8 was 8n the drought and water shortage situation on the whole, with the maximum value of 730.6 mm occurring in 2003 and m8n8mum value of 647.6 mm occurring in 2011. [...]the mountainous areas in south Anhui and Dabie mountains were relatively stable, because the plains north of Huai River were dominated by farmland and plains, where the planning zones of crops had seasonal changes. [...]crop growth was also greatly affected by urbanization, drought and flood weather conditions.</abstract><cop>Changsha</cop><pub>Wu Chu (USA-China) Science and Culture Media Corporation</pub></addata></record> |
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subjects | Agricultural land Annual variations Crop growth Crops Disasters Drought Ecological effects Evapotranspiration Fire protection Floods Forest & brush fires Grasslands Land use Monthly distribution Mountainous areas Mountains Precipitation Remote sensing Resource management Rivers Seasonal variations Statistical analysis Surface water Temporal distribution Temporal variations Trends Urbanization Vegetation Water demand Water management Water resources Water resources management Water shortages Weather |
title | Spatio-temporal Variations of Evapotranspiration in Anhui Province Based on MOD16 Products |
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