Abstract

The South Korean Peninsula is subject to hydrological extremes, and 70 % of its terrain is mountainous, with sharp ridges and steep valley flanks. Recently, rapid urbanization has created an emerging demand for large-scale water resources, such as dams and reservoirs. Accordingly, complicated sediment-related problems have become an issue, with abundant soil loss during typhoons transported to the reservoirs, and downstream, riverbed degradation is caused by intercepting sediment. Thus, a reliable approach is required for predicting sediment yields of soil erosion and sedimentation. In this study, the specific degradation (SD) of 62 stream-river watersheds and 14 reservoir watersheds were calculated from field measurements of sediment concentration and deposition. Estimated SD ranged between 10 and 1,500 tons·km−2·yr−1. Furthermore, existing empirical models of sediment yield are insufficient for predicting specific degradation upstream of the reservoirs; therefore, a new model was developed based on multiple regression analysis and model tree data mining of 47 watersheds (~75 % national land cover). Accuracy of the developed model was enhanced with the following significant parameters: (1) drainage area, (2) mean annual precipitation, (3) percent urbanized area, (4) percent water, (5) percent wetland and water, (6) percent sand at effective soil depths of 0–10 cm, (7) slope of the hypsometric curve, and (8) watershed minimum elevation. Additionally, erosion maps from the revised universal soil loss equation (RUSLE) were generated to validate model variables and further understand the sediment regime in South Korea. The gross erosion results for 16 ungauged watersheds were used to validate the empirical model by comparing sediment delivery ratios of other references. The modeled meaningful parameters were examined via remote sensing analyses of satellite and aerial imagery and revealed the features affecting erosion and sedimentation with an erosion loss map at 5-m resolution. Vulnerable areas of soil loss, including construction sites, and croplands, as well as sedimentation features, such as wetlands and agricultural reservoirs, were highlighted.

Highlights

  • The process of soil erosion can be classified into three chronological stages: detachment, transport, and deposition

  • Existing empirical models of sediment yield are insufficient for predicting specific degradation upstream of the reservoirs; a new model was developed based on multiple regression analysis and model tree data mining of 47 watersheds (~75% national land cover)

  • Accuracy of the developed model was enhanced with the following significant parameters: (1) drainage area, (2) 20 mean annual precipitation, (3) percent urbanized area, (4) percent water, (5) percent wetland and water, (6) percent sand at effective soil depths of 0–10 cm, (7) slope of the hypsometric curve, and (8) watershed minimum elevation

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Summary

Introduction

The process of soil erosion can be classified into three chronological stages: detachment, transport, and deposition. Some initial terminology related to erosion and sediment must first be clarified. “Gross erosion” refers to all erosion within a watershed. Erosion from water is composed of sheet (i.e., inter-rill), rill, gully, and instream erosions. When soil particles 35 detach, they become part of the flow. The gross erosion material transported downstream is known as “sediment yield.”. When the transport capacity of runoff is insufficient, deposition can occur within or even before reaching the stream. The “sediment delivery ratio” (SDR) can be calculated as the ratio of sediment yield to gross erosion (Julien, 2010).

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