correction to: modeling the temporal distribution of water ... · (b) relation between ln (1-fipar)...

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CORRECTION Correction to: Modeling the temporal distribution of water, ammonium-N, and nitrate-N in the root zone of wheat using HYDRUS-2D under conservation agriculture Poomadathil Mohammed Shafeeq 1 & Pramila Aggarwal 1 & Prameela Krishnan 1 & Vikas Rai 1 & Pragati Pramanik 1 & Tapas Kumar Das 2 Published online: 2 January 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2019 Correction to: Environmental Science and Pollution Research https://doi.org/10.1007/s11356-019-06642-5 The original publication of this paper contains a mistake. The correct images of figures 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 and 17 are presented in this article. The original article was corrected. The online version of the original article can be found at https://doi.org/ 10.1007/s11356-019-06642-5 * Prameela Krishnan [email protected] 1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi, India 2 Division of Agronomy, Indian Agricultural Research Institute, New Delhi, IndiaDuisburg-Essen, Universitätsstr. 2, 45117 Essen, Germany Environmental Science and Pollution Research (2020) 27:22172225 https://doi.org/10.1007/s11356-019-07225-0

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Page 1: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

CORRECTION

Correction to: Modeling the temporal distribution of water,ammonium-N, and nitrate-N in the root zone of wheatusing HYDRUS-2D under conservation agriculture

Poomadathil Mohammed Shafeeq1& Pramila Aggarwal1 & Prameela Krishnan1

& Vikas Rai1 & Pragati Pramanik1 &

Tapas Kumar Das2

Published online: 2 January 2020# Springer-Verlag GmbH Germany, part of Springer Nature 2019

Correction to: Environmental Science and Pollution Researchhttps://doi.org/10.1007/s11356-019-06642-5

The original publication of this paper contains a mistake.

The correct images of figures 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,13, 14, 15, 16 and 17 are presented in this article.

The original article was corrected.

The online version of the original article can be found at https://doi.org/10.1007/s11356-019-06642-5

* Prameela [email protected]

1 Division of Agricultural Physics, Indian Agricultural ResearchInstitute, New Delhi, India

2 Division of Agronomy, Indian Agricultural Research Institute, NewDelhi, IndiaDuisburg-Essen, Universitätsstr. 2,45117 Essen, Germany

Environmental Science and Pollution Research (2020) 27:2217–2225https://doi.org/10.1007/s11356-019-07225-0

Page 2: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 2 Design of planting androot sampling scheme underdifferent treatments

Fig. 1 Weather conditions ofexperimental area during wheatcrop growth period (November2018 - April 2019)

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Page 3: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 3 Flow chart showing steps for hydraulic parameters optimization

Fig. 4 (a) Temporal variation of measured fiPAR during wheat growth.(b) Relation between ln (1-fIPAR) and LAI

Fig. 5 Potential evaporation (PE), potential transpiration (PT), andirrigation / rainfall during simulation between 62 and 91 DAS of wheatgrowth

Environ Sci Pollut Res (2020) 27:2217–2225 2219

Page 4: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 6 Observed (training data) and predicted soil water content in CTand PBB+R treatments

Fig. 7 Predicted and observed soil water content (training dataset) of themodel

Fig. 8 Comparison of observed (testing dataset) and predicted soil watercontent (SWC) of the model

2220 Environ Sci Pollut Res (2020) 27:2217–2225

Page 5: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 9 Simulated actual RWU (cm day−1) under CT and PBB+R

Fig. 10 Simulated actual evaporation (cm day−1) under CT and PBB+Rtreatments

Fig. 11 Simulated actual drainage (cm day−1) under CT and PBB+Rtreatments

Fig. 12 Observed soil NO3–N content on various days after sowing in (a)CT and (b) PBB+R

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Page 6: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 13 (a) Observed (training dataset) and predicted soil NO3–N content of the model. (b) Observed (testing dataset) and predicted soil NO3–N contentof the model

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Page 7: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 14 Simulated outputs of urea, NH4–N, and NO3–N

Environ Sci Pollut Res (2020) 27:2217–2225 2223

Page 8: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 15 Depth wise simulated outputs of urea, NH4–N, and NO3–N

2224 Environ Sci Pollut Res (2020) 27:2217–2225

Page 9: Correction to: Modeling the temporal distribution of water ... · (b) Relation between ln (1-fIPAR) and LAI Fig. 5 Potential evaporation (PE), potential transpiration (PT), and irrigation

Fig. 16 Simulated flux of NO3–N at the lower boundary (45 cm) of thesoil profile

Fig. 17 Pictorial presentation of NO3–N under CT and PBB+R on different days during the simulation period

Environ Sci Pollut Res (2020) 27:2217–2225 2225