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Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field

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  • Haghnazari, Farzad
  • Karandish, Fatemeh
  • Darzi-Naftchali, Abdullah
  • Šimůnek, Jiří

Abstract

The impact of global warming on water and nitrate losses from a rainfed-canola cropping system under various artificial drainage systems was assessed using an integrated field-modeling approach. Four subsurface drainage systems with different drain depths (Dx) and spacings (Ly), including D0.90L30, D0.65L30, D0.65L15, and Bilevel (with a drain spacing of 15 m and alternate drain depths of 0.65 and 0.90 m), were considered. The HYDRUS (2D/3D) model was first calibrated and validated using data collected for all drainage systems during the 2015–2016 and 2016–2017 canola cropping cycles, respectively, and then applied to simulate water/nitrate losses for different drainage systems under meteorological conditions predicted assuming expected future global warming. Future weather data were downscaled from 20 general circulation models and four RCP scenarios for the mid 21st century (for 2041–2070). The model capability of representing experimental field data was evaluated using the mean bias error (MBE), the normalized root mean square error (nRMSE), and the model efficiency (EF). The HYDRUS (2D/3D) model provided reliable description of soil water contents (MBE=-0.5 % to 0.2 %, nRMSE = 0.005−0.034%, and EF = 0.73−0.99), drainage fluxes (MBE= -21.7 × 10−3 to 24.9 × 10−3 mm d-1, nRMSE = 0.23−0.37%, and EF = 0.69−0.85), soil nitrate concentrations (MBE= -0.002 to 1.00 mg cm−3, nRMSE = 0.08−0.18%, and EF = 0.51−0.88), and nitrate fluxes (MBE= -0.97 to 0.72 mg cm-1 d-1, nRMSE = 0.35−0.57%, and EF = 0.77−0.87). The modeling results indicate that climate change will cause an increase of up to 148 % in average daily drainage fluxes and up to 125 % in average daily nitrate fluxes compared to the base case. This will result in an increase of 4–125 % in seasonal nitrate losses from various drainage systems, with the lowest and highest projections for the D0.65L15 and D0.65L30 systems, respectively. The HYDRUS-simulated results indicate that the D0.65L15 system is environmentally safer than the other evaluated drainage systems for predicted global warming conditions concerning water/nitrate losses.

Suggested Citation

  • Haghnazari, Farzad & Karandish, Fatemeh & Darzi-Naftchali, Abdullah & Šimůnek, Jiří, 2020. "Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field," Agricultural Water Management, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:agiwat:v:242:y:2020:i:c:s0378377420300895
    DOI: 10.1016/j.agwat.2020.106420
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    References listed on IDEAS

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    1. Hanson, Blaine R. & Simunek, Jirka & Hopmans, Jan W., 2006. "Evaluation of urea-ammonium-nitrate fertigation with drip irrigation using numerical modeling," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 102-113, November.
    2. Kandelous, Maziar M. & Kamai, Tamir & Vrugt, Jasper A. & Šimůnek, Jiří & Hanson, Blaine & Hopmans, Jan W., 2012. "Evaluation of subsurface drip irrigation design and management parameters for alfalfa," Agricultural Water Management, Elsevier, vol. 109(C), pages 81-93.
    3. M.T. Dastorani & S. Poormohammadi, 2012. "Evaluation of the Effects of Climate Change on Temperature, Precipitation and Evapotranspiration in Iran," Chapters, in: Farhad Nejadkoorki (ed.), International Conference on Applied Life Sciences, IntechOpen.
    4. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    5. Li, Yong & Šimůnek, Jirka & Jing, Longfei & Zhang, Zhentin & Ni, Lixiao, 2014. "Evaluation of water movement and water losses in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 142(C), pages 38-46.
    6. Darzi-Naftchali, Abdullah & Mirlatifi, Seyed Majid & Shahnazari, Ali & Ejlali, Farid & Mahdian, Mohammad Hossein, 2013. "Effect of subsurface drainage on water balance and water table in poorly drained paddy fields," Agricultural Water Management, Elsevier, vol. 130(C), pages 61-68.
    7. Evan H Girvetz & Chris Zganjar & George T Raber & Edwin P Maurer & Peter Kareiva & Joshua J Lawler, 2009. "Applied Climate-Change Analysis: The Climate Wizard Tool," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-19, December.
    8. Mehdi Jafari-Talukolaee & Henk Ritzema & Abdullah Darzi-Naftchali & Ali Shahnazari, 2016. "Subsurface Drainage to Enable the Cultivation of Winter Crops in Consolidated Paddy Fields in Northern Iran," Sustainability, MDPI, vol. 8(3), pages 1-19, March.
    9. Matteau, J.-P. & Gumiere, S.J. & Gallichand, J. & Létourneau, G. & Khiari, L. & Gasser, M.-O. & Michaud, A., 2019. "Coupling of a nitrate production model with HYDRUS to predict nitrate leaching," Agricultural Water Management, Elsevier, vol. 213(C), pages 616-626.
    10. Wei, Yongping & Chen, Deli & Hu, Kelin & Willett, Ian R. & Langford, John, 2009. "Policy incentives for reducing nitrate leaching from intensive agriculture in desert oases of Alxa, Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 96(7), pages 1114-1119, July.
    11. Jia, Xucun & Shao, Lijie & Liu, Peng & Zhao, Bingqiang & Gu, Limin & Dong, Shuting & Bing, So Hwat & Zhang, Jiwang & Zhao, Bin, 2014. "Effect of different nitrogen and irrigation treatments on yield and nitrate leaching of summer maize (Zea mays L.) under lysimeter conditions," Agricultural Water Management, Elsevier, vol. 137(C), pages 92-103.
    12. Darzi-Naftchali, Abdullah & Karandish, Fatemeh & Šimůnek, Jiří, 2018. "Numerical modeling of soil water dynamics in subsurface drained paddies with midseason drainage or alternate wetting and drying management," Agricultural Water Management, Elsevier, vol. 197(C), pages 67-78.
    13. Abdullah Darzi-Naftchali & Henk Ritzema, 2018. "Integrating Irrigation and Drainage Management to Sustain Agriculture in Northern Iran," Sustainability, MDPI, vol. 10(6), pages 1-17, May.
    14. Haj-Amor, Zied & Kumar Acharjee, Tapos & Dhaouadi, Latifa & Bouri, Salem, 2020. "Impacts of climate change on irrigation water requirement of date palms under future salinity trend in coastal aquifer of Tunisian oasis," Agricultural Water Management, Elsevier, vol. 228(C).
    15. Harmsen, Eric W. & Miller, Norman L. & Schlegel, Nicole J. & Gonzalez, J.E., 2009. "Seasonal climate change impacts on evapotranspiration, precipitation deficit and crop yield in Puerto Rico," Agricultural Water Management, Elsevier, vol. 96(7), pages 1085-1095, July.
    16. Barton, Louise & Colmer, Timothy D., 2006. "Irrigation and fertiliser strategies for minimising nitrogen leaching from turfgrass," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 160-175, February.
    17. Adham, Ammar & Wesseling, Jan G. & Abed, Rasha & Riksen, Michel & Ouessar, Mohamed & Ritsema, Coen J., 2019. "Assessing the impact of climate change on rainwater harvesting in the Oum Zessar watershed in Southeastern Tunisia," Agricultural Water Management, Elsevier, vol. 221(C), pages 131-140.
    18. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    19. Wang, Huanyuan & Ju, Xiaotang & Wei, Yongping & Li, Baoguo & Zhao, Lulu & Hu, Kelin, 2010. "Simulation of bromide and nitrate leaching under heavy rainfall and high-intensity irrigation rates in North China Plain," Agricultural Water Management, Elsevier, vol. 97(10), pages 1646-1654, October.
    20. Karandish, Fatemeh & Šimůnek, Jiří, 2017. "Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS," Agricultural Water Management, Elsevier, vol. 193(C), pages 174-190.
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