Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources
Agriculture production in Pakistan mainly depends on irrigation water, and about 90% of production relies on irrigation water. For better assessment and management of irrigation water requirements, an accurate estimation of evapotranspiration (ET) from agriculture area is essential. Also, ET is a ke...
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| Veröffentlicht in: | Arabian journal of geosciences 2021-03, Vol.14 (6), Article 424 |
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| creator | Usman, Muhammad Hussain, Ejaz Rabbani, Umair Ghazi, Shahid Irteza, Syed M. Gull, Shamaila |
| description | Agriculture production in Pakistan mainly depends on irrigation water, and about 90% of production relies on irrigation water. For better assessment and management of irrigation water requirements, an accurate estimation of evapotranspiration (ET) from agriculture area is essential. Also, ET is a key climate variable linking water, energy, and carbon cycles. Conventional ET measurement techniques are point-based and representative of the local scale only. Satellite remote sensing with large area coverage and high temporal frequency provides measurements of several relevant biophysical parameters required for estimation of ET at regional scales. This study uses the Surface Energy Balance System (SEBS) model to calculate the daily actual ET (ET
a
) across the Lower Chenab Canal (LCC) irrigation system using the MODIS data for clouds-free days. Land cover classification was used to study the temporal changes in ET for different crops. There is no flux tower in the study area for direct measurement of latent heat flux and sensible heat flux; SEBS model-derived ET
a
values were evaluated against reference crop ET (ET
o
) that were calculated using FAO-56 Penman-Monteith method. SEBS-based ET
a
values were found to be lower compared to the referenced ET (ET
o
). Higher ET
o
values were observed for a hypothetical reference crop that is well-watered and disease-free, unlike actual field conditions. Results showed ET
a
values are much closer to ET
o
in the winter season with the mean difference of 0.36 mm/day, while in the summer season, the mean difference was 1.5 mm/day. This study shows the potential of remote sensing–based derived ET
a
at high spatial and temporal resolution over heterogeneous crops instead of the point-based estimation methods. Mapping ET is also helpful for better understanding of hydrological processes because it is a major loss and its spatial and temporal quantification can help in water regulation and equitable distribution. |
| doi_str_mv | 10.1007/s12517-021-06758-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2497163273</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2497163273</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2701-f9c60aefeb9d9ffb5b5803be048d52c98bfe7d0d9d8a5e72772facc28903eee23</originalsourceid><addsrcrecordid>eNp9kLtOwzAUhi0EEqXwAkyWWGAI2M7FzogiLpUiMRRmy0mO21RNnNqpqjwE74zTcNmYfGT9_3fsD6FrSu4pIfzBURZTHhBGA5LwWATRCZpRkSQBj0Nx-jtTeo4unNsQkgjCxQx9LjvV16aHpjNWbbFq1XZwtcNG49KaDh9UDxZb2O1rCw20vcN1i3Nz8LfZGlpV4Gws4ds8y-7wwtp6NRJbvBycx2JtLO7XgAvoR1Ljw6sjaFzxQ3dmb0twl-hMq62Dq-9zjj6en96z1yB_e1lkj3lQMk5ooNMyIQo0FGmVal3ERSxIWACJRBWzMhWFBl6RKq2EioEzzplWZclESkIAYOEc3UzczprdHlwvN_4B_hdOsijlNAkZD32KTSkvwjkLWna2bpQdJCVy1C4n7dJrl0ftMvKlcCo5H25XYP_Q_7S-ALOziJ8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2497163273</pqid></control><display><type>article</type><title>Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources</title><source>SpringerLink Journals</source><creator>Usman, Muhammad ; Hussain, Ejaz ; Rabbani, Umair ; Ghazi, Shahid ; Irteza, Syed M. ; Gull, Shamaila</creator><creatorcontrib>Usman, Muhammad ; Hussain, Ejaz ; Rabbani, Umair ; Ghazi, Shahid ; Irteza, Syed M. ; Gull, Shamaila</creatorcontrib><description>Agriculture production in Pakistan mainly depends on irrigation water, and about 90% of production relies on irrigation water. For better assessment and management of irrigation water requirements, an accurate estimation of evapotranspiration (ET) from agriculture area is essential. Also, ET is a key climate variable linking water, energy, and carbon cycles. Conventional ET measurement techniques are point-based and representative of the local scale only. Satellite remote sensing with large area coverage and high temporal frequency provides measurements of several relevant biophysical parameters required for estimation of ET at regional scales. This study uses the Surface Energy Balance System (SEBS) model to calculate the daily actual ET (ET
a
) across the Lower Chenab Canal (LCC) irrigation system using the MODIS data for clouds-free days. Land cover classification was used to study the temporal changes in ET for different crops. There is no flux tower in the study area for direct measurement of latent heat flux and sensible heat flux; SEBS model-derived ET
a
values were evaluated against reference crop ET (ET
o
) that were calculated using FAO-56 Penman-Monteith method. SEBS-based ET
a
values were found to be lower compared to the referenced ET (ET
o
). Higher ET
o
values were observed for a hypothetical reference crop that is well-watered and disease-free, unlike actual field conditions. Results showed ET
a
values are much closer to ET
o
in the winter season with the mean difference of 0.36 mm/day, while in the summer season, the mean difference was 1.5 mm/day. This study shows the potential of remote sensing–based derived ET
a
at high spatial and temporal resolution over heterogeneous crops instead of the point-based estimation methods. Mapping ET is also helpful for better understanding of hydrological processes because it is a major loss and its spatial and temporal quantification can help in water regulation and equitable distribution.</description><identifier>ISSN: 1866-7511</identifier><identifier>EISSN: 1866-7538</identifier><identifier>DOI: 10.1007/s12517-021-06758-4</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agricultural production ; Agriculture ; Canals ; Carbon cycle ; Climate change ; Crops ; Earth and Environmental Science ; Earth science ; Earth Sciences ; Energy balance ; Enthalpy ; Environmental regulations ; Evapotranspiration ; Fluctuations ; Heat flux ; Heat transfer ; Hydrology ; Irrigation ; Irrigation systems ; Irrigation water ; Land cover ; Latent heat ; Measurement ; Measurement techniques ; Original Paper ; Parameter estimation ; Remote sensing ; Sensible heat ; Sensible heat transfer ; Surface energy ; Surface properties ; Temporal resolution ; Temporal variations ; Water management ; Water requirements ; Water resources ; Water resources management</subject><ispartof>Arabian journal of geosciences, 2021-03, Vol.14 (6), Article 424</ispartof><rights>Saudi Society for Geosciences 2021</rights><rights>Saudi Society for Geosciences 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2701-f9c60aefeb9d9ffb5b5803be048d52c98bfe7d0d9d8a5e72772facc28903eee23</citedby><cites>FETCH-LOGICAL-c2701-f9c60aefeb9d9ffb5b5803be048d52c98bfe7d0d9d8a5e72772facc28903eee23</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/s12517-021-06758-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12517-021-06758-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Usman, Muhammad</creatorcontrib><creatorcontrib>Hussain, Ejaz</creatorcontrib><creatorcontrib>Rabbani, Umair</creatorcontrib><creatorcontrib>Ghazi, Shahid</creatorcontrib><creatorcontrib>Irteza, Syed M.</creatorcontrib><creatorcontrib>Gull, Shamaila</creatorcontrib><title>Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources</title><title>Arabian journal of geosciences</title><addtitle>Arab J Geosci</addtitle><description>Agriculture production in Pakistan mainly depends on irrigation water, and about 90% of production relies on irrigation water. For better assessment and management of irrigation water requirements, an accurate estimation of evapotranspiration (ET) from agriculture area is essential. Also, ET is a key climate variable linking water, energy, and carbon cycles. Conventional ET measurement techniques are point-based and representative of the local scale only. Satellite remote sensing with large area coverage and high temporal frequency provides measurements of several relevant biophysical parameters required for estimation of ET at regional scales. This study uses the Surface Energy Balance System (SEBS) model to calculate the daily actual ET (ET
a
) across the Lower Chenab Canal (LCC) irrigation system using the MODIS data for clouds-free days. Land cover classification was used to study the temporal changes in ET for different crops. There is no flux tower in the study area for direct measurement of latent heat flux and sensible heat flux; SEBS model-derived ET
a
values were evaluated against reference crop ET (ET
o
) that were calculated using FAO-56 Penman-Monteith method. SEBS-based ET
a
values were found to be lower compared to the referenced ET (ET
o
). Higher ET
o
values were observed for a hypothetical reference crop that is well-watered and disease-free, unlike actual field conditions. Results showed ET
a
values are much closer to ET
o
in the winter season with the mean difference of 0.36 mm/day, while in the summer season, the mean difference was 1.5 mm/day. This study shows the potential of remote sensing–based derived ET
a
at high spatial and temporal resolution over heterogeneous crops instead of the point-based estimation methods. Mapping ET is also helpful for better understanding of hydrological processes because it is a major loss and its spatial and temporal quantification can help in water regulation and equitable distribution.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Canals</subject><subject>Carbon cycle</subject><subject>Climate change</subject><subject>Crops</subject><subject>Earth and Environmental Science</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Energy balance</subject><subject>Enthalpy</subject><subject>Environmental regulations</subject><subject>Evapotranspiration</subject><subject>Fluctuations</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Hydrology</subject><subject>Irrigation</subject><subject>Irrigation systems</subject><subject>Irrigation water</subject><subject>Land cover</subject><subject>Latent heat</subject><subject>Measurement</subject><subject>Measurement techniques</subject><subject>Original Paper</subject><subject>Parameter estimation</subject><subject>Remote sensing</subject><subject>Sensible heat</subject><subject>Sensible heat transfer</subject><subject>Surface energy</subject><subject>Surface properties</subject><subject>Temporal resolution</subject><subject>Temporal variations</subject><subject>Water management</subject><subject>Water requirements</subject><subject>Water resources</subject><subject>Water resources management</subject><issn>1866-7511</issn><issn>1866-7538</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUhi0EEqXwAkyWWGAI2M7FzogiLpUiMRRmy0mO21RNnNqpqjwE74zTcNmYfGT9_3fsD6FrSu4pIfzBURZTHhBGA5LwWATRCZpRkSQBj0Nx-jtTeo4unNsQkgjCxQx9LjvV16aHpjNWbbFq1XZwtcNG49KaDh9UDxZb2O1rCw20vcN1i3Nz8LfZGlpV4Gws4ds8y-7wwtp6NRJbvBycx2JtLO7XgAvoR1Ljw6sjaFzxQ3dmb0twl-hMq62Dq-9zjj6en96z1yB_e1lkj3lQMk5ooNMyIQo0FGmVal3ERSxIWACJRBWzMhWFBl6RKq2EioEzzplWZclESkIAYOEc3UzczprdHlwvN_4B_hdOsijlNAkZD32KTSkvwjkLWna2bpQdJCVy1C4n7dJrl0ftMvKlcCo5H25XYP_Q_7S-ALOziJ8</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Usman, Muhammad</creator><creator>Hussain, Ejaz</creator><creator>Rabbani, Umair</creator><creator>Ghazi, Shahid</creator><creator>Irteza, Syed M.</creator><creator>Gull, Shamaila</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20210301</creationdate><title>Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources</title><author>Usman, Muhammad ; Hussain, Ejaz ; Rabbani, Umair ; Ghazi, Shahid ; Irteza, Syed M. ; Gull, Shamaila</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2701-f9c60aefeb9d9ffb5b5803be048d52c98bfe7d0d9d8a5e72772facc28903eee23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Canals</topic><topic>Carbon cycle</topic><topic>Climate change</topic><topic>Crops</topic><topic>Earth and Environmental Science</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Energy balance</topic><topic>Enthalpy</topic><topic>Environmental regulations</topic><topic>Evapotranspiration</topic><topic>Fluctuations</topic><topic>Heat flux</topic><topic>Heat transfer</topic><topic>Hydrology</topic><topic>Irrigation</topic><topic>Irrigation systems</topic><topic>Irrigation water</topic><topic>Land cover</topic><topic>Latent heat</topic><topic>Measurement</topic><topic>Measurement techniques</topic><topic>Original Paper</topic><topic>Parameter estimation</topic><topic>Remote sensing</topic><topic>Sensible heat</topic><topic>Sensible heat transfer</topic><topic>Surface energy</topic><topic>Surface properties</topic><topic>Temporal resolution</topic><topic>Temporal variations</topic><topic>Water management</topic><topic>Water requirements</topic><topic>Water resources</topic><topic>Water resources management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Usman, Muhammad</creatorcontrib><creatorcontrib>Hussain, Ejaz</creatorcontrib><creatorcontrib>Rabbani, Umair</creatorcontrib><creatorcontrib>Ghazi, Shahid</creatorcontrib><creatorcontrib>Irteza, Syed M.</creatorcontrib><creatorcontrib>Gull, Shamaila</creatorcontrib><collection>CrossRef</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>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Arabian journal of geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Usman, Muhammad</au><au>Hussain, Ejaz</au><au>Rabbani, Umair</au><au>Ghazi, Shahid</au><au>Irteza, Syed M.</au><au>Gull, Shamaila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources</atitle><jtitle>Arabian journal of geosciences</jtitle><stitle>Arab J Geosci</stitle><date>2021-03-01</date><risdate>2021</risdate><volume>14</volume><issue>6</issue><artnum>424</artnum><issn>1866-7511</issn><eissn>1866-7538</eissn><abstract>Agriculture production in Pakistan mainly depends on irrigation water, and about 90% of production relies on irrigation water. For better assessment and management of irrigation water requirements, an accurate estimation of evapotranspiration (ET) from agriculture area is essential. Also, ET is a key climate variable linking water, energy, and carbon cycles. Conventional ET measurement techniques are point-based and representative of the local scale only. Satellite remote sensing with large area coverage and high temporal frequency provides measurements of several relevant biophysical parameters required for estimation of ET at regional scales. This study uses the Surface Energy Balance System (SEBS) model to calculate the daily actual ET (ET
a
) across the Lower Chenab Canal (LCC) irrigation system using the MODIS data for clouds-free days. Land cover classification was used to study the temporal changes in ET for different crops. There is no flux tower in the study area for direct measurement of latent heat flux and sensible heat flux; SEBS model-derived ET
a
values were evaluated against reference crop ET (ET
o
) that were calculated using FAO-56 Penman-Monteith method. SEBS-based ET
a
values were found to be lower compared to the referenced ET (ET
o
). Higher ET
o
values were observed for a hypothetical reference crop that is well-watered and disease-free, unlike actual field conditions. Results showed ET
a
values are much closer to ET
o
in the winter season with the mean difference of 0.36 mm/day, while in the summer season, the mean difference was 1.5 mm/day. This study shows the potential of remote sensing–based derived ET
a
at high spatial and temporal resolution over heterogeneous crops instead of the point-based estimation methods. Mapping ET is also helpful for better understanding of hydrological processes because it is a major loss and its spatial and temporal quantification can help in water regulation and equitable distribution.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s12517-021-06758-4</doi></addata></record> |
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| ispartof | Arabian journal of geosciences, 2021-03, Vol.14 (6), Article 424 |
| issn | 1866-7511 1866-7538 |
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| subjects | Agricultural production Agriculture Canals Carbon cycle Climate change Crops Earth and Environmental Science Earth science Earth Sciences Energy balance Enthalpy Environmental regulations Evapotranspiration Fluctuations Heat flux Heat transfer Hydrology Irrigation Irrigation systems Irrigation water Land cover Latent heat Measurement Measurement techniques Original Paper Parameter estimation Remote sensing Sensible heat Sensible heat transfer Surface energy Surface properties Temporal resolution Temporal variations Water management Water requirements Water resources Water resources management |
| title | Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources |
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