Volume 8, Issue 16 (2-2018)                   jwmr 2018, 8(16): 90-99 | Back to browse issues page

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Optimization of infiltration models coefficients in fields of Haraz extension and technology development center. jwmr. 2018; 8 (16) :90-99
URL: http://jwmr.sanru.ac.ir/article-1-906-en.html
Abstract:   (544 Views)
Quantitation and evaluation of infiltration models are used in soil conservation, irrigation systems, hydrology investigations, watershed and watershed management systems. The purpose of this study was to estimate the infiltration by using statistical and experimental various models in two soils of plowed and without plowed in Haraz Technology and Development center paddy fields of Mazandaran province. The infiltration value was measured by the double rings in plowed and without plowed soils and then was compared with Kostiakov, Kostiakov-Lewis, Philippe, Horton and Soil Conservation Service (SCS) models. The results showed that the final infiltration rate in plowed and not plowed soils were 0.12 and 0.21 cm/min, respectively. The comparison of the estimated infiltration from each of the models with real amounts was done by the average normal root mean square error (NRMSE). The results showed that NRMSE values in plowed and not plowed soils were 21.53 and 6.45 %, respectively. With optimization of models in Solver Excel, amount of NRMSE reduced to 2.48 and 1.9%, respectively. Also according to comparison of infiltration models in both plowed and not plowed soils, the SCS and Kostiakov-Lewis models showed better fits than other models. So that, SCS model for not plowed soil was I=0.8459t1.0417 +0.6985 and for plowed soil was I=0.891t1.026 +0.6985. In general, could be said that fitting of physical and empirical models had good accuracy on Mazandaran paddy fields. Another finding of this study was the better results in the plowed soil based on NRMSE. Therefore, this method can use in paddy fields.
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Type of Study: Research | Subject: Special
Received: 2018/01/29 | Accepted: 2018/01/29 | Published: 2018/01/29

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