Estimation of soil erosion rates in a subtropical mountain watershed using 137Cs radionuclide

Chiu, Yu Jia; Chang, Kai H.; Chen, Yi-Chin; Chao, Jiunn Hsing; Lee, Hong Yuan

doi:10.1007/s11069-011-9749-0

Cited by 13 publications

(9 citation statements)

References 38 publications

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“…In total, 28 landslide scars were measured, and the volume of sediment estimated. All of the landslides measured were located on steep slopes, directly above waterways, and the sediment delivery ratio was estimated to be 90% (Lu and Higgitt 1999;Blodgett and Isacks 2007;Chiu et al 2007). Landslide scars which appeared on only the most recent imagery were assumed to have occurred during the last year and the depth was estimated at 0.5-1 m. Landslides with a larger area were assumed to be deeper, as noted in field observations.…”

Section: Landslides Channel Change and Gully Erosionmentioning

confidence: 99%

Creating a Sediment Budget in a Data Poor Context: An Example from Eastern Indonesia

Hobgen

Myers

Fisher

et al. 2014

Geografiska Annaler: Series A, Physical Geography

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Sediment budgets are useful in informing catchment management, however the resources and data required to create a sediment budget may be prohibitive, particularly in developing countries. This paper presents a multidisciplinary approach to an investigation of sediment sources and the creation of a first-order sediment budget for a catchment in eastern Indonesia: a data-poor region in the wet-dry tropics with high sediment production rates and a population largely dependent on subsistence agriculture. The approach integrates results from geospatial analysis and key informant interviews and radionuclide tracers. Free software and imagery were used to demonstrate that geospatial analysis can be achieved without high costs. Surface soil erosion rates were mapped using the Revised Universal Soil Loss Equation, and subsoil sediment sources were digitised from high-resolution imagery. Key informant interviews identified additional gully erosion, not detected through spatial analysis. Radionuclide tracers 137 Cs, 210 Pb(ex) and 239 Pu were used to determine the relative contributions of surface soil to sediment. The main sediment sources in the Kambaniru catchment were surface soils (31%), channel change (22%), gully erosion (8%), and landslides (1%), with an estimated annual sediment load of 1 440 000 t yr −1 at the weir. This sediment budget showed subsoils were a major source of sediment, which contradicts assumptions that underpin Indonesian catchment management policies. The geospatial, interview and field methods were effective in identifying, mapping and quantifying subsoil sediment sources, and can readily be applied in areas where data are scarce and technical skills are low. Radionuclide tracers provide essential information but are expensive.

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Section: Landslides Channel Change and Gully Erosionmentioning

confidence: 99%

Creating a Sediment Budget in a Data Poor Context: An Example from Eastern Indonesia

Hobgen

Myers

Fisher

et al. 2014

Geografiska Annaler: Series A, Physical Geography

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“…The exploitation of land resources results from a number of factors including extensive deforestation for fuel wood, expansion of cultivation into steep erosion-prone areas and over grazing pressures (Zeleke, 2000;Bewket, 2002;Ritsema, 2003;Amsalu & de Graaff, 2007). The impacts of uncontrolled on-site (or in-field) soil erosion can result in sedimentation off-site causing a reduction in water storage capacity of reservoirs downstream, in addition to reduced water quality from increasing water turbidity and pesticide runoff that is introduced into lakes and rivers through agricultural runoff, thereby affecting riverine habitats and sensitive ecological processes (Morgan, 2005;Chiu et al, 2007;Hrissanthou et al, 2010;Baade et al, 2012;Foster et al, 2012;Rodrigues & Silva, 2012).…”

Section: Introductionmentioning

confidence: 99%

Soil Conservation Through Sediment Trapping: A Review

et al. 2014

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Preventing the off‐site effects of soil erosion is an essential part of good catchment management. Most efforts are in the form of on‐site soil and water conservation measures. However, sediment trapping can be an alternative (additional) measure to prevent the negative off‐site effects of soil erosion. Therefore, not all efforts should focus solely on on‐site soil conservation but also on the safe routing of sediment‐laden flows and on creating sites and conditions where sediment can be trapped. Sediment trapping can be applied on‐site and off‐site and involves both vegetative and structural measures. This paper provides an extensive review of scientific journal articles, case studies and other reports that have assessed soil conservation efforts and the sediment trapping efficacy (STE) of vegetative and structural measures. The review is further illustrated through participatory field observation and stakeholders' interview. Vegetation type and integration of two or more measures are important factors influencing STE. In this review, the STE of most measures was evaluated either individually or in such combinations. In real landscape situations, it is not only important to select the most efficient erosion control measures but also to determine their optimum location in the catchment. Hence, there is a need for research that shows a more integrated determination of STE at catchment scale. If integrated measures are implemented at the most appropriate spatial locations within a catchment where they can disconnect landscape units from each other, they will decrease runoff velocity and sediment transport and, subsequently, reduce downstream flooding and sedimentation problems. Copyright © 2014 John Wiley & Sons, Ltd.

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“…1). Baichi is the most upstream section of the Shihmen Reservoir, a strategic resource for all of northern Taiwan (Chiu et al, 2007;.…”

Section: Study Areamentioning

confidence: 99%

Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan

Lahousse

Chang

Lin³

2011

Nat. Hazards Earth Syst. Sci.

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Abstract. We developed a multi-scale OBIA (object-based image analysis) landslide detection technique to map shallow landslides in the Baichi watershed, Taiwan, after the 2004 Typhoon Aere event. Our semi-automated detection method selected multiple scales through landslide size statistics analysis for successive classification rounds. The detection performance achieved a modified success rate (MSR) of 86.5 % with the training dataset and 86 % with the validation dataset. This performance level was due to the multi-scale aspect of our methodology, as the MSR for single scale classification was substantially lower, even after spectral difference segmentation, with a maximum of 74 %. Our multi-scale technique was capable of detecting landslides of varying sizes, including very small landslides, up to 95 m 2 . The method presented certain limitations: the thresholds we established for classification were specific to the study area, to the landslide type in the study area, and to the spectral characteristics of the satellite image. Because updating site-specific and image-specific classification thresholds is easy with OBIA software, our multi-scale technique is expected to be useful for mapping shallow landslides at watershed level.

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Estimation of soil erosion rates in a subtropical mountain watershed using 137Cs radionuclide

Cited by 13 publications

References 38 publications

Creating a Sediment Budget in a Data Poor Context: An Example from Eastern Indonesia

Creating a Sediment Budget in a Data Poor Context: An Example from Eastern Indonesia

Soil Conservation Through Sediment Trapping: A Review

Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan

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