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Coupling of the PADDY-Large model with geospatial information for predicting paddy pesticide behavior in river basins

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Abstract

The previously developed PADDY-Large model was improved by the coupling of geospatial information about watershed properties (Digital National Land Information and digital cultivated soil maps of Japan). The improved model was used for simulating the spatiotemporal variations of pesticide concentrations in rice paddies located in two river basins. We also developed a method for clarifying land use in sub-basins and for allocation of paddy fields to the nearest 50-m-long river segment for the model calculation. We validated the model by monitoring paddy pesticide concentrations in river water in basins under rice cultivation in southern Ibaraki Prefecture, Japan, and comparing the measured concentrations with concentrations simulated by the model. The measured concentrations of the herbicide mefenacet in river water peaked 1–2 weeks after transplanting (mid-May) and then decreased rapidly in early June. The period during which mefenacet was detected corresponded to the application timing of mefenacet. The improved PADDY-Large model accurately simulated changes in measured concentrations of mefenacet at the sampling points. The spatial distribution of mefenacet concentrations was related to the distribution of paddy fields. River segments with relatively large areas of paddy fields in upstream areas of the sub-basins had relatively high mefenacet concentrations.

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References

  • AIST (2010) AIST-SHANEL Ver.2.0. National Institute of Advanced Industrial Science and Technology. http://www.aist-riss.jp/projects/AIST-SHANEL/. Accessed 20 Apr 2011

  • Dilling WL (1977) Interphase transfer processes. II. Evaporation rates of chloro methanes, ethanes, ethylenes, propanes, and propylenes from dilute aqueous solutions. Comparisons with theoretical predictions. Environ Sci Technol 11:405–409

    Article  CAS  Google Scholar 

  • ECETOC (2003) GREAT-ER ver.1.0. European Center for Ecotoxicology and Toxicology of Chemicals. http://www.great-er.org/pages/home.cfm. Accessed 20 May 2011

  • GRASS Development Team (2011) Geographic Resources Analysis Support System (GRASS) Software. Open Source Geospatial Foundation Project. http://grass.osgeo.org. Accessed 20 May 2011

  • Inao K, Kitamura Y (1999) Pesticide paddy field model (PADDY) for predicting pesticide concentrations in water and soil in paddy field. Pestic Sci 55:38–46

    Article  CAS  Google Scholar 

  • Inao K, Ishii Y, Kobara Y, Kitamura Y (2001) Prediction of pesticide behavior in paddy field by water balance on the water management using pesticide paddy field model (PADDY). J Pestic Sci 26:229–235

    Article  CAS  Google Scholar 

  • Inao K, Ishii Y, Kobara Y, Kitamura Y (2003) Landscape-scale simulation of pesticide behavior in river basin due to runoff from paddy fields using pesticide paddy field model (PADDY). J Pestic Sci 28:24–32

    Article  CAS  Google Scholar 

  • Inao K, Mizutani H, Yogo Y, Ikeda M (2009) Improved PADDY model including photoisomerization and metabolic pathways for predicting pesticide behavior in paddy fields: application to the herbicide pyriminobac-methyl. J Pestic Sci 34:273–282

    Article  CAS  Google Scholar 

  • Inao K, Hojyo T, Annoh H, Miyazaki S, Saito T, Park HD (2011) Predicting the behavior of paddy pesticides in a river basin using a simulation model (PADDY-Large): Application to a tributary of the Chikuma River under rice cultivation (in Japanese). J Pestic Sci 36:413–427

    CAS  Google Scholar 

  • Ishihara S, Ishizaka M, Horio T, Kobara Y, Ueji M (2006) Monitoring survey of paddy rice herbicides in surface water at Sakura River and Lake Kasumigaura (in Japanese). J Weed Sci Tech 51:69–81

    Article  CAS  Google Scholar 

  • Iwafune T, Inao K, Horio T, Iwasaki N, Yokoyama A, Nagai T (2010) Behavior of paddy pesticides and major metabolites in the Sakura River, Ibaraki, Japan. J Pestic Sci 35:114–123

    Article  CAS  Google Scholar 

  • Japan Plant Protection Association (1998, 2009) Nouyaku-youran 1998, 2009. Japan Plant Protection Association, Tokyo (in Japanese)

  • Japan Soil Association (2008) Soil map database of “fundamental soil survey for soil fertility conservation”. Japanese Soil Association, Tokyo (in Japanese)

    Google Scholar 

  • Karpouzas DG, Capri E (2006) Risk analysis of pesticides applied to rice paddies using RICEWQ 1.6.2v and RIVWQ 2.02. Paddy Water Environ 4:29–38

    Article  Google Scholar 

  • Liss PS, Slater PG (1974) Flux of gases across the air–sea interface. Nature 247:181–184

    Article  CAS  Google Scholar 

  • MAFF (2008) Statistical report on agriculture, forestry and fisheries. Ministry of Agriculture, Forestry and Fisheries, Japan. http://www.maff.go.jp/j/tokei/index.html. Accessed 20 May 2011

  • Maru S (1991) Study on the behavior and fate of pesticides in aquatic environment. Spec Bull Chiba Agric Exp Stn 18:1–62 (in Japanese)

    Google Scholar 

  • Mitobe H, Ibaraki T, Tanabe A, Kawata K, Sakai M, Kifune I (1999) Variation of pesticides in a river flowing through paddy fields area. J Environ Chem 9:311–320 (in Japanese)

    Article  CAS  Google Scholar 

  • MLIT (2006) Orthorectifed aerial photo download system. Ministry of Land, Infrastructure and Transport, Japan. http://www.mlit.go.jp/kokudokeikaku/gis/ortho.html. Accessed 20 May 2011

  • MLIT (2007a) Digital national land information. Ministry of Land, Infrastructure and Transport, Japan. http://nlftp.mlit.go.jp/ksj/index.html. Accessed 20 May 2011

  • MLIT (2007b) Digital national land information conversion tools. Ministry of Land, Infrastructure and Transport, Japan. http://nlftp.mlit.go.jp/ksj/jpgis/jpgis_tool.html. Accessed 20 May 2011

  • MLIT (2010) Water information system. Ministry of Land, Infrastructure and Transport, Japan. http://www1.river.go.jp/. Accessed 20 May 2011

  • Nakamura K (1993) Studies on behavior and fate of pesticides in soil and aquatic environment of agricultural lands (in Japanese). Bull Agric Res Inst Ibaraki Agric Cent 6:61–69

    Google Scholar 

  • Neely WB (1976) Mathematical models predict concentration–time profiles resulting from chemical spill in a river. Environ Sci Technol 10:72–76

    Article  CAS  Google Scholar 

  • NIAES (2009) Cultivated soil information system. National Institute for Agro-Environmental Sciences (in Japanese). http://agrimesh.dc.affrc.go.jp/soil_db/. Accessed 20 May 2011

  • NIES (2008) G-CIEMS ver. 0.9. National Institute for Environmental Studies. http://www.nies.go.jp/rcer_expoass/gciems/gciems.html. Accessed 20 May 2011

  • Numabe A, Inoue T, Ebise S (1992) Estimation on the runoff amounts of pesticides applied after transplanting of rice plant by drainage river. J Jpn Soc Water Environ 15:662–671 (in Japanese)

    Article  CAS  Google Scholar 

  • Phong TK, Yoshino K, Hiramatsu K, Harada M, Inoue T (2010) Pesticide discharge and water management in a paddy catchment in Japan. Paddy Water Environ 8:361–369

    Article  Google Scholar 

  • Phong TK, Hiramatsu K, Watanabe H (2011) Simulating concentration of bensulfuron-methyl in a drainage canal of a paddy block using a rice pesticide model. Environ Technol 32:69–81

    Article  PubMed  CAS  Google Scholar 

  • Sudo M, Kunimatsu T, Okubo T (2002) Concentration and loading of pesticide residues in Lake Biwa basin (Japan). Water Res 36:315–329

    Article  PubMed  CAS  Google Scholar 

  • Tanabe A, Mitobe H, Kawata K, Yasuhara A, Shibamoto T (2001) Seasonal and spatial studies on pesticide residues in surface waters of the Shinano River in Japan. J Agric Food Chem 49:3847–3852

    Article  PubMed  CAS  Google Scholar 

  • Quantum GIS Development Team (2011) Quantum GIS Geographic Information System. Open Source Geospatial Foundation Project. http://qgis.osgeo.org. Accessed 20 May 2011

  • Udo A, Jiku F, Okubo T, Nakamura M (2000) Mass balance of water and nutrients in a paddy field. J Jpn Soc Water Environ 23:298–304 (in Japanese)

    Article  CAS  Google Scholar 

  • Watanabe H, Takagi K (2000a) A simulation model for predicting pesticide concentrations in paddy water and surface soil. I. Model development. Environ Technol 21:1379–1391

    Article  CAS  Google Scholar 

  • Watanabe H, Takagi K (2000b) A simulation model for predicting pesticide concentrations in paddy water and surface soil. II. Model validation and application. Environ Technol 21:1393–1404

    Article  CAS  Google Scholar 

  • Watanabe H, Takagi K, Vu HS (2006) Simulation of mefenacet concentrations in paddy field by improved PCPF-1 model. Pest Manag Sci 62:20–29

    Article  PubMed  CAS  Google Scholar 

  • Williams WM, Ritter AM, Cheplick JM, Zdinak CE (1999) RICEWQ: pesticide runoff model for rice crops, user’s manual and program documentation version 1.6.1. Waterborne Environment Inc. S.E. Leesburg, VA

    Google Scholar 

  • Yamamoto Y, Sawakawa T, Kaneko F, Takasaki T (1999) Behavior and reducing techniques of tiobencarb runoff from paddy field. Bull Chiba Agric Exp Stn 40:51–54 (in Japanese)

    Google Scholar 

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Acknowledgments

This work was supported in part by the Environment Research and Technology Development Fund (C-1102) of the Ministry of the Environment, Japan.

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Authors and Affiliations

  1. National Institute for Agro-Environmental Sciences, 3-1-3 Kannondai, Tsukuba, Ibaraki, 305-8604, Japan

    Nobusuke Iwasaki, Keiya Inao, Takashi Iwafune, Takeshi Horio & Hiroshi Obara

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  1. Nobusuke Iwasaki
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  2. Keiya Inao
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  3. Takashi Iwafune
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  4. Takeshi Horio
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  5. Hiroshi Obara
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Correspondence to Keiya Inao.

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Handling Editor: Hideaki Shibata.

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Iwasaki, N., Inao, K., Iwafune, T. et al. Coupling of the PADDY-Large model with geospatial information for predicting paddy pesticide behavior in river basins. Limnology 13, 221–235 (2012). https://doi.org/10.1007/s10201-011-0370-4

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  • DOI: https://doi.org/10.1007/s10201-011-0370-4

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