To What Extent Can a Sediment Yield Model Be Trusted? A Case Study from the Passaúna Catchment, Brazil

Water

Klajdi Sotiri¹  Stephan Hilgert¹  Stephan Fuchs¹  Regina Kishi²  Nils Wolf³  Kian Pakzad³  RobsonAndré Armindo⁴  Matheus Duraes⁵  MauricioBergamini Scheer⁶ 

[1] Department of Aquatic Environmental Engineering, Institute for Water and River Basin Management, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany;Department of Hydraulics and Sanitation, Federal University of Paraná, Curitiba 80050-540, Brazil;EFTAS Fernerkundung Technologietransfer GmbH, 48145 Münster, Germany;Experimental Physics Applied in Materials and Soils Sector, Department of Physics, Federal University of Lavras, Lavras 37200-900, Brazil;Institute of Geography, Federal University of Uberlandia, Uberlandia 38400-902, Brazil;Sanitation Company of Paraná SANEPAR, Curitiba 80215-900, Brazil;

关键词: sediment yield;    RUSLE;    Sentinel-2;    reservoir siltation;    penetrometer;    sediment balance;   

DOI  :  10.3390/w13081045

来源: DOAJ

【 摘 要 】

Soil degradation and reservoir siltation are two of the major actual environmental, scientific, and engineering challenges. With the actual trend of world population increase, further pressure is expected on both water and soil systems around the world. Soil degradation and reservoir siltation are, however, strongly interlinked with the erosion processes that take place in the hydrological catchments, as both are consequences of these processes. Due to the spatial scale and duration of erosion events, the installation and operation of monitoring systems are rather cost- and time-consuming. Modeling is a feasible alternative for assessing the soil loss adequately. In this study, the possibility of adopting reservoir sediment stock as a validation measure for a monthly time-step sediment input model was investigated. For the assessment of sediment stock in the reservoir, the commercial free-fall penetrometer GraviProbe (GP) was used, while the calculation of sediment yield was calculated by combining a revised universal soil loss equation (RUSLE)-based model with a sediment delivery ratio model based on the connectivity approach. For the RUSLE factors, a combination of remote sensing, literature review, and conventional sampling was used. For calculation of the C Factor, satellite imagery from the Sentinel-2 platform was used. The C Factor was derived from an empirical approach by combining the normalized difference vegetation index (NDVI), the degree of soil sealing, and land-use/land-cover data. The key research objective of this study was to examine to what extent a reservoir can be used to validate a long-term erosion model, and to find out the limiting factors in this regard. Another focus was to assess the potential improvements in erosion modeling from the use of Sentinel-2 data. The use of such data showed good potential to improve the overall spatial and temporal performance of the model and also dictated further opportunities for using such types of model as reliable decision support systems for sustainable catchment management and reservoir protection measures.

【 授权许可】

Unknown