Performance evaluation of infiltration models under different tillage operations in a tropical climate

Atta-Darkwa, Thomas; Austin, Asare; Amponsah, William; Eric, Oppong Danso; Agbeshie, Alex Amerh; Budu, Maxwell; Isaac, Larbi; Gilbert, Akolgo Ayine; Duke, Quaye Nii Darko

doi:10.1016/j.sciaf.2022.e01318

Cited by 13 publications

(21 citation statements)

References 32 publications

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“…Moreover, in the Kostiakov model, the average rank varies between 1.44 and 2.44 in 1 st quintile and 3 rd quantile respectively, which was found to be lowest as compared to other models. Similar results also reported by Ghosh et al (2020) and Thomas et al (2022), that the simple empirical Kostiakov infiltration model better defined the relation between infiltration rate and time and provided the best match for the field observed infiltration data. The Holtan model could not satisfactorily perform as the average rank vary between 1.22 to 6 with higher mean value (5.05).…”

Section: Infiltration Model Evaluationsupporting

confidence: 87%

Evaluation of various infiltration models based on multicriteria decision making across various soil types and land uses in India

Ghosh,

Das,

Roy

et al. 2023

Preprint

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Characterization of infiltration is crucial for designing and assessing hydrological processes. This study characterized the infiltration across different soil types (fine, moderately fine, medium, and moderately coarse in texture) and agricultural land uses (paddy, fallow, and upland crops) in India, evaluated six major infiltration models (Kostiakov, Phillp, Horton, Holtan, Green and Ampt and modified Kostiakov), and developed pedotransfer functions for individual model coefficients based on basic soil parameters. Mean basic infiltration rate was maximum in medium texture soil (7.02 cm h− 1), followed by moderately fine (4.58 cm h− 1), fine (3.7 cm h− 1), and moderately coarse (3.19 cm h− 1) soils. Under paddy, fallow land and upland crops, the values of basic infiltration rate were 2.5, 4.1 and 5.27 cm h− 1, respectively. The Kostiakov model was the best performing model across land use identified through ranking based multicriteria decision making which was closely followed by the Phillip model. Bulk density had the strongest correlation with model parameters, indicating the importance of soil management in modifying the infiltration process. The pedotransfer models developed using basic soil properties may be employed for easy and rapid characterisation of infiltration in India.

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Section: Infiltration Model Evaluationsupporting

confidence: 87%

Evaluation of various infiltration models based on multicriteria decision making across various soil types and land uses in India

Ghosh,

Das,

Roy

et al. 2023

Preprint

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“…In addition, cultivated soil has the effect of better circulation of water, air and organic matter. However, overly intensive tillage involving plowing, harrowing, and filling can reduce the infiltration rate due to the fact that the soil particles become so fine that they close the active macro-pores (Atta-Darkwa et al, 2022). The results of this study can be applied to planting upland rice in dry land, especially in providing moisture content in the root zone of upland rice.…”

Section: Water Infiltrationmentioning

confidence: 94%

The Effect of Soil Preparation Methods on Rain Water Infiltration as The Basis of Irrigation Application for Dry Land Rice

Widata

Arnanto²,

Darini³

et al. 2023

JTEP-L

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The purpose of this study was to determine the effect of land preparation methods on the soil infiltration which can be used as a basis for designing irrigation for dryland rice cultivation. The study was arranged in a completely randomized design (CRD) with three land preparation treatments, namely T0 (no tillage), T1 (hoeing), and T2 (hoeing plus loosening). Each treatment was carried out with three replication plots. Artificial rain was given with an average intensity of 4.61 mm/h for 120 min. Observations were made on the infiltration thickness and rainwater volume. Results showed that land preparation methods resulted in very significant differences in the cumulative infiltration depth and infiltration rate, where the T2 treatment caused the highest infiltration. During 120 minutes of rain, 331.83 liters of water volume was poured out and resulted in an average infiltration thickness of 7.3 cm for T0 (no tillage), 18.09 cm for T1 (hoeing), and 21,3 cm for T2 (hoeing plus loosening). The results also showed that cumulative infiltration (y) increased with rain water volume (x) that followd a logarithmic curve with an R2 value of more 94-98% for the three land preparation methods with order T2 > T1 > T0.Keywords: Rain, Tillage, Infiltration, Dry land, Rice

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“…This study observed field infiltration rates using a double-ring infiltrometer, while a double-ring infiltrometer referred to SNI 7752: 2012 [19]. In practice, field infiltration testing must be strictly adhered to in that the test should not be carried out during a rain event, and for rainfall that exceeds 12.7 mm/day, the test should be carried out at least 48 hours after the rain event [20]. Observation time had the highest effect on cumulative infiltration, followed by % silt, % clay, % sand, water content, soil density, and infiltration rate [21].…”

Section: Infiltration Rate and Classification Based On Basic Infiltra...mentioning

confidence: 99%

Comparison of infiltration model performance based on basic infiltration rate for small watersheds in Papua region, Indonesia

Pristianto,

Suhardjono,

Suhartanto

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Research on soil water infiltration in equatorial climates like Indonesia is limited. Despite Papua accounting for 29% of Indonesia’s surface water, there’s a shortage of hydrological data. This study aimed to identify the best infiltration model tailored to the characteristics of basic infiltration rates in Papua’s small watersheds. Observations were made at 95 points across 11 small watersheds in Papua. Based on equatorial basic infiltration rate theories, analysis classified infiltration values against observation time. The performance of four infiltration models — Horton, Philip, Kostiakov, and Green Ampt — were compared. The results indicated the Philip model as superior, with average scores of 0.901 (R), 0.814 (NSE), and 0.424 (RSR), followed by the Horton and Green Ampt models. These three models showed excellent performance. However, the Kostiakov model was found lacking and needs modification. Further research on rapid and very rapid classifications is vital for enhancing infiltration rate predictions in small equatorial watersheds.

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Performance evaluation of infiltration models under different tillage operations in a tropical climate

Cited by 13 publications

References 32 publications

Evaluation of various infiltration models based on multicriteria decision making across various soil types and land uses in India

Evaluation of various infiltration models based on multicriteria decision making across various soil types and land uses in India

The Effect of Soil Preparation Methods on Rain Water Infiltration as The Basis of Irrigation Application for Dry Land Rice

Comparison of infiltration model performance based on basic infiltration rate for small watersheds in Papua region, Indonesia

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