Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions
The Hydrological Simulation Program-FORTRAN (HSPF) was modified to simulate watershed pollutant loads in paddy farming regions. Dike height and the Dirac delta function were added to a modified HSPF code (HSPF-Paddy) to incorporate the behavior of ponded water and nutrients in rice paddy fields. HSP...
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description | The Hydrological Simulation Program-FORTRAN (HSPF) was modified to simulate watershed pollutant loads in paddy farming regions. Dike height and the
Dirac delta function were added to a modified HSPF code (HSPF-Paddy) to incorporate the behavior of ponded water and nutrients in rice paddy fields. HSPF-Paddy was validated by examining its application to a rice paddy plot (3000
m
2) and a watershed (1803
km
2) that contained a significant proportion of rice paddy fields (30%). The model efficiency at the plot scale was very high showing 0.52, 0.93, and 0.93 for ponded water depth, and accumulation of total nitrogen, and total phosphorus, respectively, and simulated values and observed data were in close agreement. Model efficiency was somewhat lower at the watershed scale showing 0.82, 0.78, 0.44, 0.61, and 0.63 for stream flow, temperature, 5-day biochemical oxygen demand, total nitrogen, and total phosphorus, respectively. However, model performance was generally within expectations, and generally model efficiency greater than 0.5 is deemed acceptable considering the complexity of the watershed in terms of size and land use. This comprehensive, dynamic model is applicable to a wide range of scales, from plot to watershed, and can be used to simulate various paddy field and watershed environmental conditions, including loads from point and nonpoint source pollution. It may be a practical alternative to the unit-load method for estimates of watershed pollution loads, especially in paddy farming regions, where nonpoint source pollution loads may be poorly estimated because of highly site-specific conditions. The application of HSPF-Paddy is recommended for watershed management and best management practices (BMPs) evaluation in paddy farming regions. |
doi_str_mv | 10.1016/j.agwat.2007.02.006 |
format | Article |
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Dirac delta function were added to a modified HSPF code (HSPF-Paddy) to incorporate the behavior of ponded water and nutrients in rice paddy fields. HSPF-Paddy was validated by examining its application to a rice paddy plot (3000
m
2) and a watershed (1803
km
2) that contained a significant proportion of rice paddy fields (30%). The model efficiency at the plot scale was very high showing 0.52, 0.93, and 0.93 for ponded water depth, and accumulation of total nitrogen, and total phosphorus, respectively, and simulated values and observed data were in close agreement. Model efficiency was somewhat lower at the watershed scale showing 0.82, 0.78, 0.44, 0.61, and 0.63 for stream flow, temperature, 5-day biochemical oxygen demand, total nitrogen, and total phosphorus, respectively. However, model performance was generally within expectations, and generally model efficiency greater than 0.5 is deemed acceptable considering the complexity of the watershed in terms of size and land use. This comprehensive, dynamic model is applicable to a wide range of scales, from plot to watershed, and can be used to simulate various paddy field and watershed environmental conditions, including loads from point and nonpoint source pollution. It may be a practical alternative to the unit-load method for estimates of watershed pollution loads, especially in paddy farming regions, where nonpoint source pollution loads may be poorly estimated because of highly site-specific conditions. The application of HSPF-Paddy is recommended for watershed management and best management practices (BMPs) evaluation in paddy farming regions.</description><identifier>ISSN: 0378-3774</identifier><identifier>EISSN: 1873-2283</identifier><identifier>DOI: 10.1016/j.agwat.2007.02.006</identifier><identifier>CODEN: AWMADF</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>agricultural watersheds ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; computer analysis ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; equations ; estimation ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; HSPF ; hydrologic models ; Nonpoint source pollution ; Oryza sativa ; Paddy farming ; Pollutant loading ; pollution load ; Pollution, environment geology ; Rice paddy ; rice paddy fields ; simulation models ; Soil and water pollution ; Soil science ; water pollution ; water quality ; Watershed model</subject><ispartof>Agricultural water management, 2007-05, Vol.90 (1), p.75-86</ispartof><rights>2007 Elsevier B.V.</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c552t-814dccc18cb675c04e5d3541006b073f59d194f03d740aa3da0132eff6389ee23</citedby><cites>FETCH-LOGICAL-c552t-814dccc18cb675c04e5d3541006b073f59d194f03d740aa3da0132eff6389ee23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.agwat.2007.02.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4008,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18734210$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeeagiwat/v_3a90_3ay_3a2007_3ai_3a1-2_3ap_3a75-86.htm$$DView record in RePEc$$Hfree_for_read</backlink></links><search><creatorcontrib>Jeon, Ji-Hong</creatorcontrib><creatorcontrib>Yoon, Chun G.</creatorcontrib><creatorcontrib>Donigian, Anthony S.</creatorcontrib><creatorcontrib>Jung, Kwang-Wook</creatorcontrib><title>Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions</title><title>Agricultural water management</title><description>The Hydrological Simulation Program-FORTRAN (HSPF) was modified to simulate watershed pollutant loads in paddy farming regions. Dike height and the
Dirac delta function were added to a modified HSPF code (HSPF-Paddy) to incorporate the behavior of ponded water and nutrients in rice paddy fields. HSPF-Paddy was validated by examining its application to a rice paddy plot (3000
m
2) and a watershed (1803
km
2) that contained a significant proportion of rice paddy fields (30%). The model efficiency at the plot scale was very high showing 0.52, 0.93, and 0.93 for ponded water depth, and accumulation of total nitrogen, and total phosphorus, respectively, and simulated values and observed data were in close agreement. Model efficiency was somewhat lower at the watershed scale showing 0.82, 0.78, 0.44, 0.61, and 0.63 for stream flow, temperature, 5-day biochemical oxygen demand, total nitrogen, and total phosphorus, respectively. However, model performance was generally within expectations, and generally model efficiency greater than 0.5 is deemed acceptable considering the complexity of the watershed in terms of size and land use. This comprehensive, dynamic model is applicable to a wide range of scales, from plot to watershed, and can be used to simulate various paddy field and watershed environmental conditions, including loads from point and nonpoint source pollution. It may be a practical alternative to the unit-load method for estimates of watershed pollution loads, especially in paddy farming regions, where nonpoint source pollution loads may be poorly estimated because of highly site-specific conditions. The application of HSPF-Paddy is recommended for watershed management and best management practices (BMPs) evaluation in paddy farming regions.</description><subject>agricultural watersheds</subject><subject>Agronomy. Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>computer analysis</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>equations</subject><subject>estimation</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>HSPF</subject><subject>hydrologic models</subject><subject>Nonpoint source pollution</subject><subject>Oryza sativa</subject><subject>Paddy farming</subject><subject>Pollutant loading</subject><subject>pollution load</subject><subject>Pollution, environment geology</subject><subject>Rice paddy</subject><subject>rice paddy fields</subject><subject>simulation models</subject><subject>Soil and water pollution</subject><subject>Soil science</subject><subject>water pollution</subject><subject>water quality</subject><subject>Watershed model</subject><issn>0378-3774</issn><issn>1873-2283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNqFkU-P0zAQxSMEEqXwCTjgC9wSxn8SJwcOaGFZ0EqstOzZcu1J6yqJg-0W9dvjNiu4wWHGl98bv3lTFK8pVBRo835f6e0vnSoGICtgFUDzpFjRVvKSsZY_LVbAZVtyKcXz4kWMewAQIOSq2HzCIw5-HnFKxPck7ZDc3N9dl3fa2hMZvcWBJE8wJjfqhCR_gyHu0JLZD8Mh6awbvLaRuInMF1Gvw-imLQm4dX6KL4tnvR4ivnp818XD9ecfVzfl7fcvX68-3pamrlkqWyqsMYa2ZtPI2oDA2vJa0LzLBiTv687STvTArRSgNbcaKGfY9w1vO0TG18W7Ze4c_M9DNqxGFw0Og57QH6KiXdN0TNb_B0VLgdMzyBfQBB9jwF7NIacQToqCOgev9uoSvDoHr4CpbDarvi2qgDOaPxJE1Ft3ho-K6w5yO-W6KLl2uahiuc-5ZK3aRu3SmIe9ffSqo9FDH_RkXPzrI59YsOx2XbxZuF777Clk5uGe5YTyeClbfo7nw0JgvsHRYVDROJwMWhfQJGW9--davwEJwrx7</recordid><startdate>20070524</startdate><enddate>20070524</enddate><creator>Jeon, Ji-Hong</creator><creator>Yoon, Chun G.</creator><creator>Donigian, Anthony S.</creator><creator>Jung, Kwang-Wook</creator><general>Elsevier B.V</general><general>Elsevier Science</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TV</scope><scope>7U6</scope><scope>7UA</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20070524</creationdate><title>Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions</title><author>Jeon, Ji-Hong ; Yoon, Chun G. ; Donigian, Anthony S. ; Jung, Kwang-Wook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c552t-814dccc18cb675c04e5d3541006b073f59d194f03d740aa3da0132eff6389ee23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>agricultural watersheds</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>computer analysis</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>equations</topic><topic>estimation</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>HSPF</topic><topic>hydrologic models</topic><topic>Nonpoint source pollution</topic><topic>Oryza sativa</topic><topic>Paddy farming</topic><topic>Pollutant loading</topic><topic>pollution load</topic><topic>Pollution, environment geology</topic><topic>Rice paddy</topic><topic>rice paddy fields</topic><topic>simulation models</topic><topic>Soil and water pollution</topic><topic>Soil science</topic><topic>water pollution</topic><topic>water quality</topic><topic>Watershed model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jeon, Ji-Hong</creatorcontrib><creatorcontrib>Yoon, Chun G.</creatorcontrib><creatorcontrib>Donigian, Anthony S.</creatorcontrib><creatorcontrib>Jung, Kwang-Wook</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</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>Agricultural water management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jeon, Ji-Hong</au><au>Yoon, Chun G.</au><au>Donigian, Anthony S.</au><au>Jung, Kwang-Wook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions</atitle><jtitle>Agricultural water management</jtitle><date>2007-05-24</date><risdate>2007</risdate><volume>90</volume><issue>1</issue><spage>75</spage><epage>86</epage><pages>75-86</pages><issn>0378-3774</issn><eissn>1873-2283</eissn><coden>AWMADF</coden><abstract>The Hydrological Simulation Program-FORTRAN (HSPF) was modified to simulate watershed pollutant loads in paddy farming regions. Dike height and the
Dirac delta function were added to a modified HSPF code (HSPF-Paddy) to incorporate the behavior of ponded water and nutrients in rice paddy fields. HSPF-Paddy was validated by examining its application to a rice paddy plot (3000
m
2) and a watershed (1803
km
2) that contained a significant proportion of rice paddy fields (30%). The model efficiency at the plot scale was very high showing 0.52, 0.93, and 0.93 for ponded water depth, and accumulation of total nitrogen, and total phosphorus, respectively, and simulated values and observed data were in close agreement. Model efficiency was somewhat lower at the watershed scale showing 0.82, 0.78, 0.44, 0.61, and 0.63 for stream flow, temperature, 5-day biochemical oxygen demand, total nitrogen, and total phosphorus, respectively. However, model performance was generally within expectations, and generally model efficiency greater than 0.5 is deemed acceptable considering the complexity of the watershed in terms of size and land use. This comprehensive, dynamic model is applicable to a wide range of scales, from plot to watershed, and can be used to simulate various paddy field and watershed environmental conditions, including loads from point and nonpoint source pollution. It may be a practical alternative to the unit-load method for estimates of watershed pollution loads, especially in paddy farming regions, where nonpoint source pollution loads may be poorly estimated because of highly site-specific conditions. The application of HSPF-Paddy is recommended for watershed management and best management practices (BMPs) evaluation in paddy farming regions.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.agwat.2007.02.006</doi><tpages>12</tpages></addata></record> |
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subjects | agricultural watersheds Agronomy. Soil science and plant productions Biological and medical sciences computer analysis Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics equations estimation Exact sciences and technology Fundamental and applied biological sciences. Psychology HSPF hydrologic models Nonpoint source pollution Oryza sativa Paddy farming Pollutant loading pollution load Pollution, environment geology Rice paddy rice paddy fields simulation models Soil and water pollution Soil science water pollution water quality Watershed model |
title | Development of the HSPF-Paddy model to estimate watershed pollutant loads in paddy farming regions |
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