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Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia
Sediment yield estimation along with identification of soil erosion mechanisms is essential for developing sophisticated management approaches, assessing, and balancing different management scenarios and prioritizing better soil and water conservation planning and management. At the watershed scale,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209247/ https://www.ncbi.nlm.nih.gov/pubmed/37222946 http://dx.doi.org/10.1007/s10661-023-11337-z |
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author | Leta, Megersa Kebede Waseem, Muhammad Rehman, Khawar Tränckner, Jens |
author_facet | Leta, Megersa Kebede Waseem, Muhammad Rehman, Khawar Tränckner, Jens |
author_sort | Leta, Megersa Kebede |
collection | PubMed |
description | Sediment yield estimation along with identification of soil erosion mechanisms is essential for developing sophisticated management approaches, assessing, and balancing different management scenarios and prioritizing better soil and water conservation planning and management. At the watershed scale, land management practices are commonly utilized to minimize sediment loads. The goal of this research was to estimate sediment yield and prioritize the spatial dispersion of sediment-producing hotspot areas in the Nashe catchment using the Soil and Water Assessment Tool (SWAT). Moreover, to reduce catchment sediment output, this study also aims to assess the effectiveness of certain management practices. For calibration and validation of the model, monthly stream flow and sediment data were utilized. The model performance indicators show good agreement between measured and simulated stream flow and sediment yields. The study examined four best management practice (BMP) scenarios for the catchment’s designated sub-watersheds: S0 (baseline scenario), S1 (filter strip), S2 (stone/soil bunds), S3 (contouring), and S4 (terracing). According to the SWAT model result, the watershed’s mean yearly sediment output was 25.96 t/ha. yr. under baseline circumstances. The model also revealed areas producing the maximum sediment quantities indicating the model’s effectiveness for implementing and evaluating the sensitivity of sediment yield to various management strategies. At the watershed scale, treating the watershed with various management scenarios S1, S2, S3, and S4 decreased average annual sediment yield by 34.88%, 57.98%, 39.55%, and 54.77%, respectively. The implementations of the soil/stone bund and terracing scenarios resulted in the maximum sediment yield reduction. The findings of this study will help policymakers to make better and well-informed decisions regarding suitable land use activities and best management strategies. |
format | Online Article Text |
id | pubmed-10209247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102092472023-05-26 Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia Leta, Megersa Kebede Waseem, Muhammad Rehman, Khawar Tränckner, Jens Environ Monit Assess Research Sediment yield estimation along with identification of soil erosion mechanisms is essential for developing sophisticated management approaches, assessing, and balancing different management scenarios and prioritizing better soil and water conservation planning and management. At the watershed scale, land management practices are commonly utilized to minimize sediment loads. The goal of this research was to estimate sediment yield and prioritize the spatial dispersion of sediment-producing hotspot areas in the Nashe catchment using the Soil and Water Assessment Tool (SWAT). Moreover, to reduce catchment sediment output, this study also aims to assess the effectiveness of certain management practices. For calibration and validation of the model, monthly stream flow and sediment data were utilized. The model performance indicators show good agreement between measured and simulated stream flow and sediment yields. The study examined four best management practice (BMP) scenarios for the catchment’s designated sub-watersheds: S0 (baseline scenario), S1 (filter strip), S2 (stone/soil bunds), S3 (contouring), and S4 (terracing). According to the SWAT model result, the watershed’s mean yearly sediment output was 25.96 t/ha. yr. under baseline circumstances. The model also revealed areas producing the maximum sediment quantities indicating the model’s effectiveness for implementing and evaluating the sensitivity of sediment yield to various management strategies. At the watershed scale, treating the watershed with various management scenarios S1, S2, S3, and S4 decreased average annual sediment yield by 34.88%, 57.98%, 39.55%, and 54.77%, respectively. The implementations of the soil/stone bund and terracing scenarios resulted in the maximum sediment yield reduction. The findings of this study will help policymakers to make better and well-informed decisions regarding suitable land use activities and best management strategies. Springer International Publishing 2023-05-24 2023 /pmc/articles/PMC10209247/ /pubmed/37222946 http://dx.doi.org/10.1007/s10661-023-11337-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Leta, Megersa Kebede Waseem, Muhammad Rehman, Khawar Tränckner, Jens Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title | Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title_full | Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title_fullStr | Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title_full_unstemmed | Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title_short | Sediment yield estimation and evaluating the best management practices in Nashe watershed, Blue Nile Basin, Ethiopia |
title_sort | sediment yield estimation and evaluating the best management practices in nashe watershed, blue nile basin, ethiopia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209247/ https://www.ncbi.nlm.nih.gov/pubmed/37222946 http://dx.doi.org/10.1007/s10661-023-11337-z |
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