|Choi, K; Arnhold, S; Huwe, B; Reineking, B: Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations, Water, 9(4), 278 (2017), doi:10.3390/w9040278|
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.
UNIKAT - Das Sommer- und Tanzevent der Universität im Ökologisch-Botanischen Garten, Tickets unter: www.unikat.uni-bayreuth.de
Literatur und Musik: Serenade am Victoria-Becken
Vom Korn zum Brot: Öffentliche Brotprüfung der Bäckerinnung Bayreuth Stadt und Land
Unser täglich Brot: Getreide und Pseudocerealien
Heitere Botanik: Pflanzen in Versen von K.H. Waggerl