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PRACA ORYGINALNA
Evaluation of the different soil management effects on salinity control in maize cropping by HYDRUS-2D
 
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1
Water Sciences and Engineering, Imam Khomeini International University, Iran
 
 
Data nadesłania: 05-02-2023
 
 
Data ostatniej rewizji: 03-06-2023
 
 
Data akceptacji: 15-07-2023
 
 
Data publikacji online: 15-07-2023
 
 
Data publikacji: 08-09-2023
 
 
Autor do korespondencji
Hadi Ramezani Etedali   

Water Sciences and Engineering, Imam Khomeini International University, Iran
 
 
Soil Sci. Ann., 2023, 74(2)169659
 
SŁOWA KLUCZOWE
STRESZCZENIE
Continuous irrigation causes soil salinity and decreases soil fertility. The purpose of this study is to find methods that can prevent soil salinity. Thus, a soil column with 15 cm stack height, under maize cultivation and tape irrigation has been simulated by HYDRUS-2D. In order to assess the effects of different scenarios including tape location (stack/ditch), stack height (in drip and surface irrigation), using mulch and irrigation water salinity on salinity accumulation in root zone in different time frames. The results show placing tapes on ditch will increase soil primarily salinity (0.65 dS m–1) 8%, 8% and 10% lower than placing it on the stack after 1, 5 and 10 years. Also, height stack is not very effective for controlling salinity in both drip and surface irrigation. Because, assessing soil columns with 0, 10, 15 and 20 cm stack height showed neglectable difference between salinity both in short term and long-term scenarios (according to variance analysis test). Using mulch is an effective way to control salinity because it can decrease evaporation. After 1, 5 and 10 years of irrigation in mulch presence, salinity increased 34.5%, 42.8% and 50% lower than without mulch scenario. Also, irrigating soil by water of different salinities including 0.7, 1.7 and 2.7 dS m–1 showed 77.5%, 83.5% and 84.2% increase in salinity after 10 years ago.
 
REFERENCJE (14)
1.
Abbasi, F., Tajik, F., 2007. Estimation of Soil Hydraulic and Solute Transport Parameters from Transient Field Experiments using Inverse Modeling. Journal of Water and Soil Science 11(1), 111-123. (in Persian) https://doi.org/20.1001.1.2476....
 
2.
Abd El-Mageed, T., Semida, W., Abd El-wahed, M., 2016. Effect of mulching on plant water status, soil salinity and yield of squash under summer-fall deficit irrigation in salt affected soil. Journal of Agricultural Water Management 173(c), 1-12. https://doi.org/10.1016/j.agwa....
 
3.
Beyrami, H., Rezayi, H., 2021. Effect of different mulches on evaporaton reduction and salinity changes in soils with different texture. Iranian Journal of Irrigation and Drainage 15(3), 558-566. (in Persian with English abstract) https://idj.iaid.ir/article_13....
 
4.
Farhadi Machekposhti, M., Shahnazari, A., Ahmadi, M., Aghajani, Gh., Ritzema, H., 2017. Effects of irrigation with sea water on soil salinity and yield of oleic sunflower. Journal of Agricultural Water Management 188(c), 69-78. https://research.wur.nl/en/pub....
 
5.
Feyzi, M., 2002. The effect of irrigation water salinity on wheat yeild. Journal of Water and Soil Science 16(2), 214-222. (in Persian) https://www.sid.ir/paper/24011....
 
6.
Feyzi, M., Saadat, S., 2015. The effect of management in irrigating soil with saline water on soil salinity. Journal of Water and Irrigation 5(1), 11-25. (in Persian with English abstract) https://jwim.ut.ac.ir/article_....
 
7.
Mirzayi, A., Nazemi, A., 2011. Simulating salinity movement in soil by means of HYDRUS model. Journal of Water and Irrigation Engineering 1(3), 59-70. (in Persian with English abstract) https://www.waterjournal.ir/ar....
 
8.
Moniruzzaman, M., Shamim, A., 2015. Effect of mulching on soil salinity and yield of sweet gourd. International Journal of Sustainable Crop Production 10(3), 16-20. https://www.researchgate.net/p....
 
9.
Provenzano, G., 2007. Using HYDRUS-2D simulation model to evaluate wetted soil volume in subsurface drip irrigation systems . Journal of Irrigation and Drainage Engineering 133(4), 342-349. https://doi.org/10.1061/(ASCE)...).
 
10.
Sejna, M., Šimůnek, J., Van Genuchten, M., 2011. HYDRUS User Manual, p:322. https://www.pc-progress.com/do....
 
11.
Soltani, M., Rahimikhob, A., Sotoodehnia, A., Akram, M., 2017. HYDRUS software function in simulating dry drainage. Journal of Water and Soil Science 31(4), 595-607. (in Persian with English abstract) https://doi.org/10.22092/jwra.....
 
12.
Taqavi, H., Hosseininia, M., Karimi, Sh., Irandust, M., 2012. HYDRUS model's ability in simulating moisture distribution in soil under subsurface drip irrigation. Journal of Water and Soil Science 16(61), 59-68. (in Persian) http://jstnar.iut.ac.ir/articl....
 
13.
Wei, Ch., Yang, J., Li, F., Yang, P., Ren, Sh., Wang, Sh., Wang, Yu., Xu, Z., Xu, Y.,Wei, R., Zhang, Y., 2019. Effects of irrigation water salinity on soil properties ans N2O emission and yield of spring maize under mulched drip irrigation. Water 11(1548), 1-19. https://doi.org/10.3390/w11081....
 
14.
Yuan, Ch., Fen, Sh., Wang, J., Huo, Z., Ji, Q., 2018. Effects of irrigation water salinity on soil salt content distribution, soil physical properties and water use efficiency of maize for seed production in arid Northwest China. International Journal of Agriculture and Biological Engineering 3(11), 137-145. https://ijabe.org/index.php/ij....
 
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