All Issue

2020 Vol.53, Issue 4 Preview Page

Short communication

Simulation of Nitrate Leaching Under Soybean and Chinese Cabbage Cultivation in the Lysimeter Soils Using the APEX Model
Yejin Lee1†
,
Soonkun Choi2
,
Jae E. Yang3†
1Researcher, Division of Soil & Fertilizer, National Institute of Agricultural Science, Wanju 55365, Korea
2Researcher, Division of Climate Change Assessment, National Institute of Agricultural Science, Wanju 55365, Korea
3Professor,Department of Biological Environment, Kangwon National University, Chuncheon 24341, Korea
*leeyj418@korea.kr
**yangjay@kangwon.ac.kr
30 November 2020. pp. 650-657
PDF XML Citation
Abstract

Nitrate leaching losses from arable land can negatively impact ground water quality. Prediction of nitrate leaching with agricultural system model is helpful to manage the crop land for reduction of nitrate leaching. In this study, APEX (Agricultural Policy Environmental eXtender) model was evaluated for simulating the nitrate leaching potential in agricultural land. The model for nitrate leaching prediction was calibrated and validated with the data from the lysimeter in National institute of agricultural science, Rural development administration. The nitrate-N leaching during cropping season of soybean (Jun to October) and Chinese cabbage (September to October) in lysimeter was simulated from 1986 to 2015 with the adjusted model. The measured (x) and simulated (y) total nitrate-N leaching that was accumulated during cropping period in lysimeter was significantly correlated (n = 9, y = 0.9275x, R2 = 0.948). The range of total nitrate-N leaching according to soybean and Chinese cabbage cultivation was 0 - 4 kg ha-1 and 3.8 - 11.6 kg ha-1, respectively. Thus, we confirmed the APEX model reflects differences in nitrate leaching potential under the different types of crop and fertilization. These results suggest that APEX model can be successfully used in estimating nitrate leaching of arable land.

Simulated NO3-N leaching by APEX model and precipitation during cropping season of Chinese cabbage(fall) from 1986 to 2015 in the lysimeter.
Keywords
APEX model
Nitrate leaching
Lysimeter
Upland soils
References
1
Akhavan, S., J. Abedi-Koupai, S.F. Mousavi, M. Afyuni, S.S. Eslamian, and K.C. Abbaspour. 2010. Application of SWAT model to investigate nitrate leaching in Hamadan. Bahar Watershed, Iran. Agric. Ecosyst. Environ. 139(4):675-688. 10.1016/j.agee.2010.10.015
2
Goulding, K.W.T., P.R. Poulton, C.P. Webster, and M.T. Howe. 2000. Nitrate leaching from the Broadbalk Wheat Experiment, Rothamsted, UK, as influenced by fertilizer and manure inputs and the weather. Soil Use Manage. 16(4):244-250. 10.1111/j.1475-2743.2000.tb00203.x
3
Groenendijk, P., M. Heinen, G. Klammler, J. Fank, H. Kupfersberger, V. Pisinaras, and A. Perego. 2014. Performance assessment of nitrate leaching models for highly vulnerable soils used in low-input farming based on lysimeter data. Sci. Total Environ. 499:463-480. 10.1016/j.scitotenv.2014.07.00225042417
4
Han, J., J. Shi, L. Zeng, J. Xu, and L. Wu. 2017. Impacts of continuous excessive fertilization on soil potential nitrification activity and nitrifying microbial community dynamics in greenhouse system. J. Soils Sediments. 17(2):471-480. 10.1007/s11368-016-1525-z
5
Han, K.H. 2009. Contamination source assessment of groundwater nitrate in a complex terrain. Korean J. Soil Sci. Fert. 45(1):14-20.
6
Han, K.H., H.M. Ro, H.J. Cho, L.Y. Kim, S.W. Hwang, H.R. Cho, and K.C. Song. 2008. Mobility of nitrate and phosphate through small lysimeter with three physico-chemically different soils. 2008. Korean J. Soil Sci. Fert. 41(4):260-266.
7
Hargreaves, G.H. and Z.A. Samani. 1985. Reference crop evapotranspiration from temperature. Appl. Eng. Agric. 1(2):96-99. 10.13031/2013.26773
8
Jaynes, D.B., T.S. Colvin, D.L. Karlen, C.A. Cambardella, and D.W. Meek. 2001. Nitrate loss in subsurface drainage as affected by nitrogen fertilizer rate. J. Environ. Qual. 30(4):1305-1314. 10.2134/jeq2001.3041305x11476509
9
Kim, M.K., S.K. Choi, G.B. Jung, M.H. Kim, S.C. Hong, K.H. So, and J.H. Jeong. 2014. APEX (Agricultural Policy/Environmental eXtender) model: An emerging tool for agricultural environmental analyses. Korean J. Soil Sci. Fert. 47(3):187-190. 10.7745/KJSSF.2014.47.3.187
10
Kim, S.H., H.Y. Hwang, M.S. Kim, S.J. Park, J.H. Shim, and Y.H. Lee. 2020. Assessment of fertilizer usage by food crops at the national level. Korean J. Soil. Sci. Fert. 53(2):231-236.
11
Kim, Y.S., Y.H. Seo., D. Kraus, S. Klatt, E. Haas, J. Tenhunen, and R. Kiese. 2015. Estimation and mitigation of N2O emission and nitrate leaching from intensive crop cultivation in the Haean catchment, South Korea. Sci. Total Environ. 529:40-53. 10.1016/j.scitotenv.2015.04.09826005748
12
Lee, K.S., Y.S. Bong, D. Lee, Y. Kim, and K. Kim. 2008. Tracing the sources of nitrate in the Han River watershed in Korea, using δ15N-NO3− and δ18O-NO3− values. Sci. Total Environ. 395(2-3):117-124. 10.1016/j.scitotenv.2008.01.05818342914
13
Lee, Y.J., J.H. Ok, S.B. Lee, J.K. Sung, Y.S. Song, and D.B. Lee. 2018. Nitrate leaching and balance of soils grown with cabbage in weighing lysimeter. Korean J. Environ. Agric. 37(3):166-171. 10.5338/KJEA.2018.37.3.23
14
Li, Y., J. Li, L. Gao, and Y. Tian. 2018. Irrigation has more influence than fertilization on leaching water quality and the potential environmental risk in excessively fertilized vegetable soils. PLOS ONE. 13(9):e02045709. 10.1371/journal.pone.020457030261079PMC6160137
15
Ma, L., R.W. Malone, P. Heilman, D.L. Karlen, R.S. Kanwar, C.A. Cambardella, and L.R. Ahuja. 2007. RZWQM simulation of long-term crop production, water and nitrogen balances in Northeast Iowa. Geoderma. 140(3):247-259. 10.1016/j.geoderma.2007.04.009
16
Mencio, A., J. Mas-Pla, N. Otero, O. Regas, M. Boy-Roura, R. Puig, J. Bach, C. Domenech, M. Zamorano, D. Brusi, and A. Folch. 2016. Nitrate pollution of groundwater; All right..., but nothing else? Sci. Total Environ. 539:241-251. 10.1016/j.scitotenv.2015.08.15126363397
17
Park, H.R., M.K. Kim, and S.P. Hong. 2015. Characteristics of nitrate contamination of groundwater. J. Environ. Impact Assess. 24(1):87-98. 10.14249/eia.2015.24.1.87
18
Puntel, L.A., J.E. Sawyer, D.W. Barker, R. Dietzel, H. Poffenbarger, M.J. Casellano, and S.V. Archontoulis. 2016. Modeling long-term corn yield response to nitrogen rate and crop rotation. Front. Plant Sci. 7:1630. 10.3389/fpls.2016.0163027891133PMC5104953
19
Roh, A.S., J.S. Park, Y.S. Park, O.J. Ju, M.W. Shin, M.K. Kim, and S.K. Choi. 2019. Evaluation of Changes in Agricultural Stream Water Quality of Small Watershed in Gyeonggi Province. Korean J. Soil. Sci. Fert. 52(4):369-374.
20
Saxton, K.E. and W.J. Rawls. 2006. Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Sci. Soc. Am. J. 70:1569-1578. 10.2136/sssaj2005.0117
21
Shaffer, M.J. and J.A. Delgado. 2002. Essentials of a national nitrate leaching index assessment tool. J. Soil Water Conserv. 57(6):327-335.
22
Van der Velde, M., F. Bouraoui, and A. Aloe. 2009. Pan-European regional-scale modeling of water and efficiencies of rapeseed cultivation for biodiesel production. Glob. Change Biol. 15:24-37. 10.1111/j.1365-2486.2008.01706.x
23
Watanabe, M., S. Miura, S. Hasegawa, M.K. Koshikawa, T. Takamatsu, A. Kohzu, and S. Hayashi. 2018. Coniferous coverage as well as catchment steepness influences local stream nitrate concentrations within a nitrogen-saturated forest in central Japan. Sci. Total Environ. 636:539-546. 10.1016/j.scitotenv.2018.04.30729715658
24
Williams, J.R., C.A. Jones, and P.T. Dyke. 1984. The EPIC model and its application. In Proc. ICRISAT-IBSNAT- SYSS Symp. International symposium on minimum data sets for agrotechnology transfer. p. 111-121.
25
Williams, J.R., R.C. Izaurralde, V.P. Singh, and D.K. Frevert. 2006. The APEX model. Watershed models. p.437-482. In: V. P. Singh and D. K. Frevert (ed.), CRC press, NY, USA. 10.1201/9781420037432.ch18
Information
  • Publisher :Korean Society of Soil Science and Fertilizer
  • Publisher(Ko) :한국토양비료학회
  • Journal Title :Korean Journal of Soil Science and Fertilizer
  • Journal Title(Ko) :한국토양비료학회 학회지
  • Volume : 53
  • No :4
  • Pages :650-657
  • Received Date : 2020-10-25
  • Revised Date : 2020-11-18
  • Accepted Date : 2020-11-18
  • DOI :https://doi.org/10.7745/KJSSF.2020.53.4.650
Journal Informaiton Korean Journal of Soil Science and Fertilizer Korean Journal of Soil Science and Fertilizer
KJSSF Online Submission
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close