Effects of Infiltration Conditions and Rainfall Characteristics on Simulated Curve Numbers
AbstractThe curve number (CN) method is the most widely used method to estimate the depth of runoff resulting from a given depth of rainfall. However, there are still doubts about the effect of rainfall characteristics and soil moisture conditions on the method’s parameters (CN, and the standard ini...
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| Veröffentlicht in: | Journal of irrigation and drainage engineering 2021-10, Vol.147 (10) |
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| container_title | Journal of irrigation and drainage engineering |
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| creator | Bertotto, Luis Eduardo Lucas, Murilo Cesar Medeiros Destro, Cesar Augusto Chin, David Arthur dos Santos Alves, Wenes de Oliveira, Paulo Tarso S |
| description | AbstractThe curve number (CN) method is the most widely used method to estimate the depth of runoff resulting from a given depth of rainfall. However, there are still doubts about the effect of rainfall characteristics and soil moisture conditions on the method’s parameters (CN, and the standard initial abstraction ratio, λ). In this study, design rainfall distributions were used along with Hortonian infiltration characteristics to calculate CN and λ values for a highly clayey soil (>80%). Prerainfall infiltration conditions were characterized by the measured initial soil moisture content, and Hortonian infiltration model was obtained from experimental infiltration test measurements. The main results show that there is no influence of initial infiltration rates on CN values, and rainfall duration generates substantial influence on CN. The CN is inversely related to rainfall depth, and λ is dependent on the initial soil moisture. Further, neither tabulated CN nor standard λ corresponds to the simulated values obtained in this case. Therefore, these findings suggest that the method’s parameters should be specifically adapted to local hydrological conditions. |
| doi_str_mv | 10.1061/(ASCE)IR.1943-4774.0001605 |
| format | Article |
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However, there are still doubts about the effect of rainfall characteristics and soil moisture conditions on the method’s parameters (CN, and the standard initial abstraction ratio, λ). In this study, design rainfall distributions were used along with Hortonian infiltration characteristics to calculate CN and λ values for a highly clayey soil (>80%). Prerainfall infiltration conditions were characterized by the measured initial soil moisture content, and Hortonian infiltration model was obtained from experimental infiltration test measurements. The main results show that there is no influence of initial infiltration rates on CN values, and rainfall duration generates substantial influence on CN. The CN is inversely related to rainfall depth, and λ is dependent on the initial soil moisture. Further, neither tabulated CN nor standard λ corresponds to the simulated values obtained in this case. Therefore, these findings suggest that the method’s parameters should be specifically adapted to local hydrological conditions.</description><identifier>ISSN: 0733-9437</identifier><identifier>EISSN: 1943-4774</identifier><identifier>DOI: 10.1061/(ASCE)IR.1943-4774.0001605</identifier><language>eng</language><publisher>New York: American Society of Civil Engineers</publisher><subject>Case Studies ; Case Study ; Clay ; Clay soils ; Depth ; Hydrology ; Infiltration ; Infiltration rate ; Moisture content ; Parameters ; Rain ; Rainfall ; Runoff ; Soil ; Soil conditions ; Soil moisture ; Water content</subject><ispartof>Journal of irrigation and drainage engineering, 2021-10, Vol.147 (10)</ispartof><rights>2021 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a337t-1451e4f254ec04922de1d18c2d496c27ecc7c5f0a990a64a5af04472315494593</citedby><cites>FETCH-LOGICAL-a337t-1451e4f254ec04922de1d18c2d496c27ecc7c5f0a990a64a5af04472315494593</cites><orcidid>0000-0002-1732-0241</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/(ASCE)IR.1943-4774.0001605$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/(ASCE)IR.1943-4774.0001605$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,75936,75944</link.rule.ids></links><search><creatorcontrib>Bertotto, Luis Eduardo</creatorcontrib><creatorcontrib>Lucas, Murilo Cesar</creatorcontrib><creatorcontrib>Medeiros Destro, Cesar Augusto</creatorcontrib><creatorcontrib>Chin, David Arthur</creatorcontrib><creatorcontrib>dos Santos Alves, Wenes</creatorcontrib><creatorcontrib>de Oliveira, Paulo Tarso S</creatorcontrib><title>Effects of Infiltration Conditions and Rainfall Characteristics on Simulated Curve Numbers</title><title>Journal of irrigation and drainage engineering</title><description>AbstractThe curve number (CN) method is the most widely used method to estimate the depth of runoff resulting from a given depth of rainfall. However, there are still doubts about the effect of rainfall characteristics and soil moisture conditions on the method’s parameters (CN, and the standard initial abstraction ratio, λ). In this study, design rainfall distributions were used along with Hortonian infiltration characteristics to calculate CN and λ values for a highly clayey soil (>80%). Prerainfall infiltration conditions were characterized by the measured initial soil moisture content, and Hortonian infiltration model was obtained from experimental infiltration test measurements. The main results show that there is no influence of initial infiltration rates on CN values, and rainfall duration generates substantial influence on CN. The CN is inversely related to rainfall depth, and λ is dependent on the initial soil moisture. Further, neither tabulated CN nor standard λ corresponds to the simulated values obtained in this case. Therefore, these findings suggest that the method’s parameters should be specifically adapted to local hydrological conditions.</description><subject>Case Studies</subject><subject>Case Study</subject><subject>Clay</subject><subject>Clay soils</subject><subject>Depth</subject><subject>Hydrology</subject><subject>Infiltration</subject><subject>Infiltration rate</subject><subject>Moisture content</subject><subject>Parameters</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Runoff</subject><subject>Soil</subject><subject>Soil conditions</subject><subject>Soil moisture</subject><subject>Water content</subject><issn>0733-9437</issn><issn>1943-4774</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LwzAYh4MoOKffIehFD51vmqSx3kapWhgKm168hJgmmNG1M0kFv70tm3ry9P7h97wvPAidE5gRyMj15XxVlFfVckZyRhMmBJsBAMmAH6DJ7-4QTUBQmgyzOEYnIayHDBMAE_RaWmt0DLizuGqta6JX0XUtLrq2dmMXsGprvFSutappcPGuvNLReBei0wPX4pXb9I2KpsZF7z8Nfuw3b8aHU3Q0EMGc7esUvdyVz8VDsni6r4r5IlGUipgQxolhNuXMaGB5mtaG1ORGpzXLM50Ko7XQ3ILKc1AZU1xZYEyklHCWM57TKbrY3d367qM3Icp11_t2eClTzgURlFMYUre7lPZdCN5YufVuo_yXJCBHl1KOLmW1lKM3OXqTe5cDnO1gFbT5O_9D_g9-AwPBeBc</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Bertotto, Luis Eduardo</creator><creator>Lucas, Murilo Cesar</creator><creator>Medeiros Destro, Cesar Augusto</creator><creator>Chin, David Arthur</creator><creator>dos Santos Alves, Wenes</creator><creator>de Oliveira, Paulo Tarso S</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-1732-0241</orcidid></search><sort><creationdate>20211001</creationdate><title>Effects of Infiltration Conditions and Rainfall Characteristics on Simulated Curve Numbers</title><author>Bertotto, Luis Eduardo ; Lucas, Murilo Cesar ; Medeiros Destro, Cesar Augusto ; Chin, David Arthur ; dos Santos Alves, Wenes ; de Oliveira, Paulo Tarso S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a337t-1451e4f254ec04922de1d18c2d496c27ecc7c5f0a990a64a5af04472315494593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Case Studies</topic><topic>Case Study</topic><topic>Clay</topic><topic>Clay soils</topic><topic>Depth</topic><topic>Hydrology</topic><topic>Infiltration</topic><topic>Infiltration rate</topic><topic>Moisture content</topic><topic>Parameters</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Runoff</topic><topic>Soil</topic><topic>Soil conditions</topic><topic>Soil moisture</topic><topic>Water content</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bertotto, Luis Eduardo</creatorcontrib><creatorcontrib>Lucas, Murilo Cesar</creatorcontrib><creatorcontrib>Medeiros Destro, Cesar Augusto</creatorcontrib><creatorcontrib>Chin, David Arthur</creatorcontrib><creatorcontrib>dos Santos Alves, Wenes</creatorcontrib><creatorcontrib>de Oliveira, Paulo Tarso S</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Journal of irrigation and drainage engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bertotto, Luis Eduardo</au><au>Lucas, Murilo Cesar</au><au>Medeiros Destro, Cesar Augusto</au><au>Chin, David Arthur</au><au>dos Santos Alves, Wenes</au><au>de Oliveira, Paulo Tarso S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Infiltration Conditions and Rainfall Characteristics on Simulated Curve Numbers</atitle><jtitle>Journal of irrigation and drainage engineering</jtitle><date>2021-10-01</date><risdate>2021</risdate><volume>147</volume><issue>10</issue><issn>0733-9437</issn><eissn>1943-4774</eissn><abstract>AbstractThe curve number (CN) method is the most widely used method to estimate the depth of runoff resulting from a given depth of rainfall. However, there are still doubts about the effect of rainfall characteristics and soil moisture conditions on the method’s parameters (CN, and the standard initial abstraction ratio, λ). In this study, design rainfall distributions were used along with Hortonian infiltration characteristics to calculate CN and λ values for a highly clayey soil (>80%). Prerainfall infiltration conditions were characterized by the measured initial soil moisture content, and Hortonian infiltration model was obtained from experimental infiltration test measurements. The main results show that there is no influence of initial infiltration rates on CN values, and rainfall duration generates substantial influence on CN. The CN is inversely related to rainfall depth, and λ is dependent on the initial soil moisture. Further, neither tabulated CN nor standard λ corresponds to the simulated values obtained in this case. Therefore, these findings suggest that the method’s parameters should be specifically adapted to local hydrological conditions.</abstract><cop>New York</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/(ASCE)IR.1943-4774.0001605</doi><orcidid>https://orcid.org/0000-0002-1732-0241</orcidid></addata></record> |
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| source | American Society of Civil Engineers:NESLI2:Journals:2014 |
| subjects | Case Studies Case Study Clay Clay soils Depth Hydrology Infiltration Infiltration rate Moisture content Parameters Rain Rainfall Runoff Soil Soil conditions Soil moisture Water content |
| title | Effects of Infiltration Conditions and Rainfall Characteristics on Simulated Curve Numbers |
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