Climate Change Impacts on Soil Erosion and Sediment Yield in a Watershed

This study analyzed the influence of climate change on sediment yield variation, sediment transport and erosion deposition distribution at the watershed scale. The study was based on Gaoping River basin, which is among the largest basins in southern Taiwan. To carry out this analysis, the Physiographic Soil Erosion Deposition (PSED) model was utilized. Model results showed a general increase in soil erosion and deposition volume under the A1B-S climate change scenario. The situation is even worsened with increasing return periods. Total erosion volume and total sediment yield in the watershed were increased by 4–25% and 8–65%, respectively, and deposition volumes increased by 2–23%. The study showed how climate change variability would influence the watershed through increased sediment yields, which might even worsen the impacts of natural disasters. It has further illustrated the importance of incorporating climate change into river management projects.

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Levee Overtopping Risk Assessment under Climate Change Scenario in Kao-Ping River, Taiwan

Sustainability ◽

10.3390/su12114511 ◽

2020 ◽

Vol 12 (11) ◽

pp. 4511

Author(s):

Hsiao-Ping Wei ◽

Yuan-Fong Su ◽

Chao-Tzuen Cheng ◽

Keh-Chia Yeh

Keyword(s):

Climate Change ◽

Water Level ◽

Climate Change Scenario ◽

Mapping Method ◽

Change Scenario ◽

Quantile Mapping ◽

Meteorological Research Institute ◽

The Future ◽

Overtopping Probability ◽

Southern Taiwan

With the growing concern about the failure risk of river embankments in a rapidly changing climate, this study aims to quantify the overtopping probability of river embankment in Kao-Ping River basin in southern Taiwan. A water level simulation model is calibrated and validated with historical typhoon events and the calibrated model is further used to assess overtopping risk in the future under a climate change scenario. A dynamic downscaled projection dataset, provided by Meteorological Research Institute (MRI) has been further downscaled to 5-km grids and bias-corrected with a quantile mapping method, is used to simulate the water level of Kao-Ping River in the future. Our results highlighted that the overtopping risk of Kao-Ping River increased by a factor of 5.7~8.0 by the end of the 21st century.

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Using Satellite Remote Sensing and Regional Climate Change Scenario Data for Projecting Soil Erosion risk. a Case Study in Crete, Greece.

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8900533 ◽

2019 ◽

Author(s):

Dimitrios Alexakis ◽

Efie Tampakopoulou ◽

Manolis Grilllakis ◽

Ioannis Tsanis

Keyword(s):

Climate Change ◽

Remote Sensing ◽

Soil Erosion ◽

Satellite Remote Sensing ◽

Climate Change Scenario ◽

Regional Climate ◽

Regional Climate Change ◽

Change Scenario ◽

Erosion Risk

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Variability Analysis of Climate Extreme Index using Downscaled Multi-models and Grid-based CMIP5 Climate Change Scenario Data

Journal of Climate Change Research ◽

10.15531/ksccr.2020.11.2.123 ◽

2020 ◽

Vol 11 (2) ◽

pp. 123-132

Author(s):

Jae-Pil Cho ◽

Jae-Uk Kim ◽

Soon-Kun Choi ◽

Sye-Woon Hwang ◽

Hui-Cheul Jung

Keyword(s):

Climate Change ◽

Climate Change Scenario ◽

Extreme Index ◽

Change Scenario ◽

Climate Extreme ◽

Variability Analysis ◽

Grid Based

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Simulating Agroforestry Adoption in Rural Indonesia: The Potential of Trees on Farms for Livelihoods and Environment

Land ◽

10.3390/land10040385 ◽

2021 ◽

Vol 10 (4) ◽

pp. 385

Author(s):

Beatrice Nöldeke ◽

Etti Winter ◽

Yves Laumonier ◽

Trifosa Simamora

Keyword(s):

Climate Change ◽

Climate Change Scenario ◽

Agroforestry System ◽

Environmental Benefits ◽

Small Scale ◽

Change Scenario ◽

Trees On Farms ◽

Agroforestry Adoption ◽

Mitigate Climate Change ◽

Small Scale Farmers

In recent years, agroforestry has gained increasing attention as an option to simultaneously alleviate poverty, provide ecological benefits, and mitigate climate change. The present study simulates small-scale farmers’ agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time. To explore the interdependencies between agroforestry adoption, livelihoods, and the environment, an agent-based model adjusted to a case study area in rural Indonesia was implemented. Thereby, the model compares different scenarios, including a climate change scenario. The agroforestry system under investigation consists of an illipe (Shorea stenoptera) rubber (Hevea brasiliensis) mix, which are both locally valued tree species. The simulations reveal that farmers who adopt agroforestry diversify their livelihood portfolio while increasing income. Additionally, the model predicts environmental benefits: enhanced biodiversity and higher carbon sequestration in the landscape. The benefits of agroforestry for livelihoods and nature gain particular importance in the climate change scenario. The results therefore provide policy-makers and practitioners with insights into the dynamic economic and environmental advantages of promoting agroforestry.

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Benefits of Extensive Solar Electricity Generation in Reference to Current Climate Change Scenario

Journal of Physics Conference Series ◽

10.1088/1742-6596/1714/1/012048 ◽

2021 ◽

Vol 1714 ◽

pp. 012048

Author(s):

Rutvik Joshi

Keyword(s):

Climate Change ◽

Electricity Generation ◽

Climate Change Scenario ◽

Change Scenario ◽

Current Climate ◽

Solar Electricity

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Prioritization of Sub-Watersheds to Sediment Yield and Evaluation of Best Management Practices in Highland Ethiopia, Finchaa Catchment

Land ◽

10.3390/land10060650 ◽

2021 ◽

Vol 10 (6) ◽

pp. 650

Author(s):

Wakjira Takala Dibaba ◽

Tamene Adugna Demissie ◽

Konrad Miegel

Keyword(s):

Soil Erosion ◽

Best Management Practices ◽

Sediment Yield ◽

Soil Loss ◽

Crop Production ◽

Management Practices ◽

Assessment Tool ◽

Swat Model ◽

Sediment Yields ◽

Soil And Water

Excessive soil loss and sediment yield in the highlands of Ethiopia are the primary factors that accelerate the decline of land productivity, water resources, operation and function of existing water infrastructure, as well as soil and water management practices. This study was conducted at Finchaa catchment in the Upper Blue Nile basin of Ethiopia to estimate the rate of soil erosion and sediment loss and prioritize the most sensitive sub-watersheds using the Soil and Water Assessment Tool (SWAT) model. The SWAT model was calibrated and validated using the observed streamflow and sediment data. The average annual sediment yield (SY) in Finchaa catchment for the period 1990–2015 was 36.47 ton ha−1 yr−1 with the annual yield varying from negligible to about 107.2 ton ha−1 yr−1. Five sub-basins which account for about 24.83% of the area were predicted to suffer severely from soil erosion risks, with SY in excess of 50 ton ha−1 yr−1. Only 15.05% of the area within the tolerable rate of loss (below 11 ton ha−1yr−1) was considered as the least prioritized areas for maintenance of crop production. Despite the reasonable reduction of sediment yields by the management scenarios, the reduction by contour farming, slope terracing, zero free grazing and reforestation were still above the tolerable soil loss. Vegetative contour strips and soil bund were significant in reducing SY below the tolerable soil loss, which is equivalent to 63.9% and 64.8% reduction, respectively. In general, effective and sustainable soil erosion management requires not only prioritizations of the erosion hotspots but also prioritizations of the most effective management practices. We believe that the results provided new and updated insights that enable a proactive approach to preserve the soil and reduce land degradation risks that could allow resource regeneration.

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