Modeling water flow in a plastic mulched ridge cultivation system on hillslopes affected by South Korean summer monsoon

Ruidisch, Marianne; Kettering, Janine; Arnhold, Sebastian; Huwe, Bernd

doi:10.1016/j.agwat.2012.07.011

Cited by 32 publications

(24 citation statements)

References 19 publications

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“…It means that the lateral hydraulic conductivity of the entire soil profile is affected not only by the top soil layer but also by other deeper layers with low hydraulic conductivities. The optimized θ sat for each field has a relatively higher value than the corresponding optimized values from Ruidisch et al [38]. The higher values are possible because the model considers the entire soil profile, including deeper soil layers with higher saturated soil water contents.…”

Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 85%

“…For parameters related to soil detachability (i.e., DK c , DK z , DK s , DR c , DR z , and DR s ), we used a wide range of parameters from zero to maximum values as given in Table 1. We set the range of K according to ranges of the optimized vertical hydraulic conductivities from Ruidisch et al [38], who conducted hydrological studies on the same fields. The upper boundary was defined by multiplying K by 18 to consider the average ratio of lateral to vertical hydraulic conductivities of the hillslope [65].…”

Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 99%

“…Values of optimized parameters from the DE algorithm are listed in Table 3. The optimized K for each field is in the range of optimized (for field 1) and estimated (for field 2) vertical hydraulic conductivity from Ruidisch et al [38]. It means that the lateral hydraulic conductivity of the entire soil profile is affected not only by the top soil layer but also by other deeper layers with low hydraulic conductivities.…”

Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 99%

See 2 more Smart Citations

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Choi

Arnhold

Huwe

et al. 2017

Water

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Abstract:In this paper, we present the Daily based Morgan-Morgan-Finney model. The main processes in this model are based on the Morgan-Morgan-Finney soil erosion model, and it is suitable for estimating surface runoff and sediment redistribution patterns in seasonal climate regions with complex surface configurations. We achieved temporal flexibility by utilizing daily time steps, which is suitable for regions with concentrated seasonal rainfall. We introduce the proportion of impervious surface cover as a parameter to reflect its impacts on soil erosion through blocking water infiltration and protecting the soil from detachment. Also, several equations and sequences of sub-processes are modified from the previous model to better represent physical processes. From the sensitivity analysis using the Sobol' method, the DMMF model shows the rational response to the input parameters which is consistent with the result from the previous versions. To evaluate the model performance, we applied the model to two potato fields in South Korea that had complex surface configurations using plastic covered ridges at various temporal periods during the monsoon season. Our new model shows acceptable performance for runoff and the sediment loss estimation (NSE ≥ 0.63, |PBIAS| ≤ 17.00, and RSR ≤ 0.57). Our findings demonstrate that the DMMF model is able to predict the surface runoff and sediment redistribution patterns for cropland with complex surface configurations.

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Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 85%

Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 99%

Section: Testing the Dmmf Model In The Fieldmentioning

confidence: 99%

See 1 more Smart Citation

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Choi

Arnhold

Huwe

et al. 2017

Water

Self Cite

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“…The rice field, uniformly planted in an area larger than 6 ha, was permanently flooded with a water depth of 1 to 10 cm throughout the growing season, while the potato field, with an area of approximately 2.6 ha, was rain-fed under the plastic mulched ridge cultivation [19]. Field campaigns were carried out in the growing season in 2010.…”

Section: Research Sites and Field Campaignsmentioning

confidence: 99%

Parameterization of Evapotranspiration Estimation for Two Typical East Asian Crops

Zhao

Lüers

2017

Atmosphere

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Estimation of evapotranspiration plays an important role in understanding the water cycle on the earth, especially the water budget in agricultural ecosystems. The parameterization approach of the Penman-Monteith-Katerji-Perrier (PM-KP) model, accounting for the influence of meteorological variables and aerodynamic resistance on surface resistance, was proposed in the literature, but it has not been applied to Asian croplands, and its error and sensitivity have not been reported yet. In this study, the estimation of evapotranspiration on half-hourly scale was carried out for two typical East Asian cropland research sites, and evaluated by using eddy-covariance measurements corrected with the energy-balance-closure concept. Sensitivity coefficients as well as systematic bias and random errors of the PM-KP approach were used to evaluate the model performance. Different distributions of the calibration coefficients between different crops were reported for the first time, indicating that the calibration of this model was more stable for the rice field than for the potato field. The commonly-used parameterization approach suggested by the Food and Agriculture Organization (FAO) was used as reference and was site-specifically optimized. The results suggest that the PM-KP approach would be a better alternative than the PM-FAO approach for estimating evapotranspiration for the flooded rice field, and an acceptable alternative for rain-fed croplands when the soil is well watered and the air is humid during the summer monsoon.

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“…The SWAT model also includes several methods to calculate potential evapotranspiration (PET) (Hargreaves and Samani, 1985;Monteith, 1965;Penman, 1948;Priestley and Taylor, 1972) depending on the observational meteorological data available. Because of the robust and highfrequency spatially variable micrometeorologic data available through the TERRECO project, we simulated daily PET using the Penman-Monteith method (Penman, 1948).…”

Section: Discharge and Evapotranspiration Estimatesmentioning

confidence: 99%

Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea

Shope

Maharjan

Tenhunen

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Watershed-scale modeling can be a valuable tool to aid in quantification of water quality and yield; however, several challenges remain. In many watersheds, it is difficult to adequately quantify hydrologic partitioning. Data scarcity is prevalent, accuracy of spatially distributed meteorology is difficult to quantify, forest encroachment and land use issues are common, and surface water and groundwater abstractions substantially modify watershed-based processes. Our objective is to assess the capability of the Soil and Water Assessment Tool (SWAT) model to capture eventbased and long-term monsoonal rainfall-runoff processes in complex mountainous terrain. To accomplish this, we developed a unique quality-control, gap-filling algorithm for interpolation of high-frequency meteorological data. We used a novel multi-location, multi-optimization calibration technique to improve estimations of catchment-wide hydrologic partitioning. The interdisciplinary model was calibrated to a unique combination of statistical, hydrologic, and plant growth metrics. Our results indicate scale-dependent sensitivity of hydrologic partitioning and substantial influence of engineered features. The addition of hydrologic and plant growth objective functions identified the importance of culverts in catchment-wide flow distribution. While this study shows the challenges of applying the SWAT model to complex terrain and extreme environments; by incorporating anthropogenic features into modeling scenarios, we can enhance our understanding of the hydroecological impact.

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Modeling water flow in a plastic mulched ridge cultivation system on hillslopes affected by South Korean summer monsoon

Cited by 32 publications

References 19 publications

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Parameterization of Evapotranspiration Estimation for Two Typical East Asian Crops

Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea

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