Improving the Accuracy of the Nitrogen Removal Equation for Paddy Fields and Wetlands with Special Focus on Temperature Factors
The nitrogen (N) removal equation for paddy fields can be used to estimate the N removal rate based on input N concentration and temperature. The objective of the present study was to focus on various temperature factors affecting the accuracy of the equation in estimating the N removal rate. The su...
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Veröffentlicht in: | Nōgyō Nōson Kōgakkai ronbunshū Drainage and Rural Engineering, 2019, Vol.87(2), pp.I_189-I_195 |
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container_title | Nōgyō Nōson Kōgakkai ronbunshū |
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creator | LIN, Xiaolan SETA, Chinatsu YOSHIDA, Koshi MAEDA, Shigeya KURODA, Hisao |
description | The nitrogen (N) removal equation for paddy fields can be used to estimate the N removal rate based on input N concentration and temperature. The objective of the present study was to focus on various temperature factors affecting the accuracy of the equation in estimating the N removal rate. The survey site was a wet paddy field in the Kanto region of Japan. It was always flooded and under non-vegetation, non-penetration conditions. The survey was carried out for about 2 years starting in January 2015. We looked at water temperature, soil temperature (at 10 cm beneath the surface) and the average integrated hourly temperature in terms of how they affect the estimation of N removal rates. The average integrated hourly temperature was determined by AMeDAS. The relationship between the calculated values and measured values were evaluated using the R2 value. It was found that the N removal rate correlated more strongly with the soil temperature at 10 cm beneath the surface and the average integrated hourly temperature than with water temperature. We introduced a temperature factor “D” to correct the removal rate. It was found that the most accurate estimation of the N removal rate was obtained when the average integrated hourly temperature was used along with a temperature correction coefficient D = 1.3. |
doi_str_mv | 10.11408/jsidre.87.I_189 |
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The objective of the present study was to focus on various temperature factors affecting the accuracy of the equation in estimating the N removal rate. The survey site was a wet paddy field in the Kanto region of Japan. It was always flooded and under non-vegetation, non-penetration conditions. The survey was carried out for about 2 years starting in January 2015. We looked at water temperature, soil temperature (at 10 cm beneath the surface) and the average integrated hourly temperature in terms of how they affect the estimation of N removal rates. The average integrated hourly temperature was determined by AMeDAS. The relationship between the calculated values and measured values were evaluated using the R2 value. It was found that the N removal rate correlated more strongly with the soil temperature at 10 cm beneath the surface and the average integrated hourly temperature than with water temperature. We introduced a temperature factor “D” to correct the removal rate. It was found that the most accurate estimation of the N removal rate was obtained when the average integrated hourly temperature was used along with a temperature correction coefficient D = 1.3.</description><identifier>ISSN: 1882-2789</identifier><identifier>EISSN: 1884-7242</identifier><identifier>DOI: 10.11408/jsidre.87.I_189</identifier><language>jpn</language><publisher>Tokyo: The Japanese Society of Irrigation, Drainage and Rural Engineering</publisher><subject>Accuracy ; Average integrated hourly temperature ; Fields ; Flooding soil ; Mathematical analysis ; Nitrogen removal ; Nitrogen removal equation ; Nitrogen removal rate ; Polls & surveys ; Removal ; Rice fields ; Soil ; Soil temperature ; Soil water ; Soils ; Surveying ; Temperature effects ; Temperature factor ; Water temperature</subject><ispartof>Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering, 2019, Vol.87(2), pp.I_189-I_195</ispartof><rights>2019 The Japanese Society of Irrigation, Drainage and Rural Engineering</rights><rights>Copyright Japan Science and Technology Agency 2019</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,1887,4028,27932,27933,27934</link.rule.ids></links><search><creatorcontrib>LIN, Xiaolan</creatorcontrib><creatorcontrib>SETA, Chinatsu</creatorcontrib><creatorcontrib>YOSHIDA, Koshi</creatorcontrib><creatorcontrib>MAEDA, Shigeya</creatorcontrib><creatorcontrib>KURODA, Hisao</creatorcontrib><title>Improving the Accuracy of the Nitrogen Removal Equation for Paddy Fields and Wetlands with Special Focus on Temperature Factors</title><title>Nōgyō Nōson Kōgakkai ronbunshū</title><addtitle>Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering</addtitle><description>The nitrogen (N) removal equation for paddy fields can be used to estimate the N removal rate based on input N concentration and temperature. The objective of the present study was to focus on various temperature factors affecting the accuracy of the equation in estimating the N removal rate. The survey site was a wet paddy field in the Kanto region of Japan. It was always flooded and under non-vegetation, non-penetration conditions. The survey was carried out for about 2 years starting in January 2015. We looked at water temperature, soil temperature (at 10 cm beneath the surface) and the average integrated hourly temperature in terms of how they affect the estimation of N removal rates. The average integrated hourly temperature was determined by AMeDAS. The relationship between the calculated values and measured values were evaluated using the R2 value. It was found that the N removal rate correlated more strongly with the soil temperature at 10 cm beneath the surface and the average integrated hourly temperature than with water temperature. We introduced a temperature factor “D” to correct the removal rate. It was found that the most accurate estimation of the N removal rate was obtained when the average integrated hourly temperature was used along with a temperature correction coefficient D = 1.3.</description><subject>Accuracy</subject><subject>Average integrated hourly temperature</subject><subject>Fields</subject><subject>Flooding soil</subject><subject>Mathematical analysis</subject><subject>Nitrogen removal</subject><subject>Nitrogen removal equation</subject><subject>Nitrogen removal rate</subject><subject>Polls & surveys</subject><subject>Removal</subject><subject>Rice fields</subject><subject>Soil</subject><subject>Soil temperature</subject><subject>Soil water</subject><subject>Soils</subject><subject>Surveying</subject><subject>Temperature effects</subject><subject>Temperature factor</subject><subject>Water temperature</subject><issn>1882-2789</issn><issn>1884-7242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9UE1rGzEQXUoKNUnuPQp6Xldfu5KOTohTQ0hLa-hRjLUjW2a9ciRtgk_9693aJZd5M8x7b5hXVZ8ZnTMmqf66z6FLONdqvrJMmw_VjGkta8Ulvzr3vOZKm0_Vbc5hQzmVqjGtnFV_Vodjiq9h2JKyQ7JwbkzgTiT68_wcSopbHMhPPMRX6MnDywglxIH4mMgP6LoTWQbsu0xg6MhvLP2EmbyFsiO_jujCpFlGN2YyadZ4OGKCMiYkS3AlpnxTffTQZ7z9j9fVevmwvv9WP31_XN0vnuq9VrTGpsGNYNI0gkvnu4ZL5jz3RjdtB0Z545kRSjO-8RKAGSqEAxBUOtZ65cV19eViOz37MmIudh_HNEwXLRdUSdbSlk6suwtrnwts0R5TOEA6WUgluB7tJWWrleX_yjnq96XbQbI4iL-4A3wR</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>LIN, Xiaolan</creator><creator>SETA, Chinatsu</creator><creator>YOSHIDA, Koshi</creator><creator>MAEDA, Shigeya</creator><creator>KURODA, Hisao</creator><general>The Japanese Society of Irrigation, Drainage and Rural Engineering</general><general>Japan Science and Technology Agency</general><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>2019</creationdate><title>Improving the Accuracy of the Nitrogen Removal Equation for Paddy Fields and Wetlands with Special Focus on Temperature Factors</title><author>LIN, Xiaolan ; SETA, Chinatsu ; YOSHIDA, Koshi ; MAEDA, Shigeya ; KURODA, Hisao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j870-e55eb31495324cfd5241cf2f9856da97f9f1937812bf4aa19033caa304c16f7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>jpn</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Average integrated hourly temperature</topic><topic>Fields</topic><topic>Flooding soil</topic><topic>Mathematical analysis</topic><topic>Nitrogen removal</topic><topic>Nitrogen removal equation</topic><topic>Nitrogen removal rate</topic><topic>Polls & surveys</topic><topic>Removal</topic><topic>Rice fields</topic><topic>Soil</topic><topic>Soil temperature</topic><topic>Soil water</topic><topic>Soils</topic><topic>Surveying</topic><topic>Temperature effects</topic><topic>Temperature factor</topic><topic>Water temperature</topic><toplevel>online_resources</toplevel><creatorcontrib>LIN, Xiaolan</creatorcontrib><creatorcontrib>SETA, Chinatsu</creatorcontrib><creatorcontrib>YOSHIDA, Koshi</creatorcontrib><creatorcontrib>MAEDA, Shigeya</creatorcontrib><creatorcontrib>KURODA, Hisao</creatorcontrib><collection>Aqualine</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>Nōgyō Nōson Kōgakkai ronbunshū</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LIN, Xiaolan</au><au>SETA, Chinatsu</au><au>YOSHIDA, Koshi</au><au>MAEDA, Shigeya</au><au>KURODA, Hisao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving the Accuracy of the Nitrogen Removal Equation for Paddy Fields and Wetlands with Special Focus on Temperature Factors</atitle><jtitle>Nōgyō Nōson Kōgakkai ronbunshū</jtitle><addtitle>Transactions of The Japanese Society of Irrigation, Drainage and Rural Engineering</addtitle><date>2019</date><risdate>2019</risdate><volume>87</volume><issue>2</issue><spage>I_189</spage><epage>I_195</epage><pages>I_189-I_195</pages><issn>1882-2789</issn><eissn>1884-7242</eissn><abstract>The nitrogen (N) removal equation for paddy fields can be used to estimate the N removal rate based on input N concentration and temperature. The objective of the present study was to focus on various temperature factors affecting the accuracy of the equation in estimating the N removal rate. The survey site was a wet paddy field in the Kanto region of Japan. It was always flooded and under non-vegetation, non-penetration conditions. The survey was carried out for about 2 years starting in January 2015. We looked at water temperature, soil temperature (at 10 cm beneath the surface) and the average integrated hourly temperature in terms of how they affect the estimation of N removal rates. The average integrated hourly temperature was determined by AMeDAS. The relationship between the calculated values and measured values were evaluated using the R2 value. It was found that the N removal rate correlated more strongly with the soil temperature at 10 cm beneath the surface and the average integrated hourly temperature than with water temperature. We introduced a temperature factor “D” to correct the removal rate. It was found that the most accurate estimation of the N removal rate was obtained when the average integrated hourly temperature was used along with a temperature correction coefficient D = 1.3.</abstract><cop>Tokyo</cop><pub>The Japanese Society of Irrigation, Drainage and Rural Engineering</pub><doi>10.11408/jsidre.87.I_189</doi><oa>free_for_read</oa></addata></record> |
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source | J-STAGE Free; EZB-FREE-00999 freely available EZB journals; AgriKnowledge(アグリナレッジ)AGROLib |
subjects | Accuracy Average integrated hourly temperature Fields Flooding soil Mathematical analysis Nitrogen removal Nitrogen removal equation Nitrogen removal rate Polls & surveys Removal Rice fields Soil Soil temperature Soil water Soils Surveying Temperature effects Temperature factor Water temperature |
title | Improving the Accuracy of the Nitrogen Removal Equation for Paddy Fields and Wetlands with Special Focus on Temperature Factors |
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