Your search found 4 records
1 Fayas, C. M.; Abeysingha, N. S.; Nirmanee, K. G. S.; Samaratunga, D.; Mallawatantri, A. 2019. Soil loss estimation using RUSLE model to prioritize erosion control in Kelani River Basin in Sri Lanka. International Soil and Water Conservation Research, 7(2):130-137. [doi: https://doi.org/10.1016/j.iswcr.2019.01.003]
Revised Universal Soil Loss Equation ; Estimation ; Soil erosion models ; Erosion control ; Land degradation ; Land use mapping ; Land cover mapping ; River basins ; Slope ; Rain ; Runoff / Sri Lanka / Kelani River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H049211)
https://www.sciencedirect.com/science/article/pii/S2095633918301734/pdfft?md5=a3753a3c707e963d96f83f94ed76ed9d&pid=1-s2.0-S2095633918301734-main.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
https://vlibrary.iwmi.org/pdf/H049211.pdf
(3.17 MB) (3.17 MB)
Soil erosion contributes negatively to agricultural production, quality of source water for drinking, ecosystem health in land and aquatic environments, and aesthetic value of landscapes. Approaches to understand the spatial variability of erosion severity are important for improving landuse management. This study uses the Kelani river basin in Sri Lanka as the study area to assess erosion severity using the Revised Universal Soil Loss Equation (RUSLE) model supported by a GIS system. Erosion severity across the river basin was estimated using RUSLE, a Digital Elevation Model (15 15 m), twenty years rainfall data at 14 rain gauge stations across the basin, landuse and land cover, and soil maps and cropping factors. The estimated average annual soil loss in Kelani river basin varied from zero to 103.7 t ha-1 yr1 , with a mean annual soil loss estimated at 10.9 t ha1 yr1 . About 70% of the river basin area was identified with low to moderate erosion severity (o12 t ha1 yr1 ) indicating that erosion control measures are urgently needed to ensure a sustainable ecosystem in the Kelani river basin, which in turn, is connected with the quality of life of over 5 million people. Use of this severity information developed with RUSLE along with its individual parameters can help to design landuse management practices. This effort can be further refined by analyzing RUSLE results along with Kelani river sub-basins level real time erosion estimations as a monitoring measure for conservation practices.
2 Bhatti, Muhammad Tousif; Ashraf, M.; Anwar, Arif A. 2021. Soil erosion and sediment load management strategies for sustainable irrigation in arid regions. Sustainability, 13(6):3547. (Special issue: Sustainable Agricultural, Biological, and Environmental Engineering Applications) [doi: https://doi.org/10.3390/su13063547]
Soil erosion ; Sediment yield ; Irrigation systems ; Sediment transport ; Modelling ; Arid zones ; Sustainability ; Strategies ; Revised Universal Soil Loss Equation ; Rainfall-runoff relationships ; Normalized difference vegetation index ; Crop management ; Rivers ; Catchment areas ; Reservoirs ; Canals / Pakistan / Afghanistan / Gomal River
(Location: IWMI HQ Call no: e-copy only Record No: H050370)
(4.00 MB) (4.00 MB)
Soil erosion is a serious environmental issue in the Gomal River catchment shared by Pakistan and Afghanistan. The river segment between the Gomal Zam dam and a diversion barrage (~40 km) brings a huge load of sediments that negatively affects the downstream irrigation system, but the sediment sources have not been explored in detail in this sub-catchment. The analysis of flow and sediment data shows that the significant sediment yield is still contributing to the diversion barrage despite the Gomal Zam dam construction. However, the sediment share at the diversion barrage from the sub-catchment is much larger than its relative size. A spatial assessment of erosion rates in the sub-catchment with the revised universal soil loss equation (RUSLE) shows that most of the sub-catchment falls into very severe and catastrophic erosion rate categories (>100 t h-1y -1 ). The sediment entry into the irrigation system can be managed both by limiting erosion in the catchment and trapping sediments into a hydraulic structure. The authors tested a scenario by improving the crop management factor in RUSLE as a catchment management option. The results show that improving the crop management factor makes little difference in reducing the erosion rates in the sub-catchment, suggesting other RUSLE factors, and perhaps slope is a more obvious reason for high erosion rates. This research also explores the efficiency of a proposed settling reservoir as a sediment load management option for the flows diverted from the barrage. The proposed settling reservoir is simulated using a computer-based sediment transport model. The modeling results suggest that a settling reservoir can reduce sediment entry into the irrigation network by trapping 95% and 25% for sand and silt particles, respectively. The findings of the study suggest that managing the sub-catchment characterizing an arid region and having steep slopes and barren mountains is a less compelling option to reduce sediment entry into the irrigation system compared to the settling reservoir at the diversion barrage. Managing the entire catchment (including upstream of Gomal Zam dam) can be a potential solution, but it would require cooperative planning due to the transboundary nature of the Gomal river catchment. The output of this research can aid policy and decision-makers to sustainably manage sedimentation issues in the irrigation network.
3 Getu, L. A.; Nagy, A.; Addis, H. K. 2022. Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech Watershed, Ethiopia. Environmental Challenges, 8:100560. [doi: https://doi.org/10.1016/j.envc.2022.100560]
Soil erosion ; Estimation ; Models ; Revised Universal Soil Loss Equation ; Geographical information systems ; Watersheds ; Soil conservation ; Highlands ; Land use ; Land cover ; Farmland / Ethiopia / Amhara / Megech Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H051269)
https://www.sciencedirect.com/science/article/pii/S2667010022001172/pdfft?md5=f6b63be7ec22e67c8a50fa904c939dfa&pid=1-s2.0-S2667010022001172-main.pdf
https://vlibrary.iwmi.org/pdf/H051269.pdf
https://vlibrary.iwmi.org/pdf/H051269.pdf
(5.75 MB) (5.75 MB)
Soil erosion is the most serious problem that affects economic development, food security, and ecosystem services, which is the main concern in Ethiopia. This study focused on quantifying soil erosion rate and severity mapping of the Megech watershed for effective planning and decision-making processes to implement protection measures. The RUSLE model integrated with ArcGIS software was used to accomplish the objectives. The six RUSLE model parameters: erosivity, erodibility, slope length and steepness, cover management, and erosion control practices were used as input parameters to compute the average annual soil loss and identify erosion hotspots in the watershed. The RUSLE estimated a total soil loss of 1,399,210 t yr-1 from the watershed with a mean annual soil loss of 32.84 t ha-1yr-1. The soil erosion rate varied from 0.08 to greater than 500 t ha-1yr-1. A severity map with seven severity classes was created for 27 sub-watersheds: low (below 10), moderate (10–20), high (20–30), very high (30–35), severe (35–40), very severe (40–45) and extremely severe (above 45) in which the values are in ton ha-1yr-1. The area coverage was 6.5%, 11.1%, 8.7%, 22%, 30.9%, 13.4%, and 7.4% for low, moderate, high, very high, severe, very severe, and extremely severe erosion classes, respectively. About 82% of the watershed was found in more than the high-risk category which reflects the need for immediate land management action. This paper could be important for decision-makers to prioritize critical erosion hotspots for comprehensive and sustainable management of the watershed.
4 Sanogo, K.; Birhanu, B. Z.; Sanogo, S.; Ba, A. 2023. Landscape pattern analysis using GIS and remote sensing to diagnose soil erosion and nutrient availability in two agroecological zones of southern Mali. Agriculture and Food Security, 12:4. [doi: https://doi.org/10.1186/s40066-023-00408-6]
Landscape ; Soil erosion ; Nutrient availability ; Soil fertility ; Agroecological zones ; Revised Universal Soil Loss Equation ; Models ; Geographical information systems ; Remote sensing ; Land use change ; Land cover change ; Soil conservation ; Water conservation ; Farmland / Mali / Bougouni / Koutiala
(Location: IWMI HQ Call no: e-copy only Record No: H051834)
https://agricultureandfoodsecurity.biomedcentral.com/counter/pdf/10.1186/s40066-023-00408-6.pdf
https://vlibrary.iwmi.org/pdf/H051834.pdf
https://vlibrary.iwmi.org/pdf/H051834.pdf
(2.82 MB) (2.82 MB)
Background: Soil is a basic natural resource for the existence of life on earth, and its health is a major concern for rural livelihoods. Poor soil health is directly associated with reduced agricultural land productivity in many sub-Saharan countries, such as Mali. Agricultural land is subjected to immense degradation and the loss of important soil nutrients due to soil erosion. The objective of the study was to diagnose the spatial distribution of soil erosion and soil nutrient variations under different land use in two agroecological zones of Southern Mali using the Geographical Information System (GIS) software, the empirically derived relationship of the Revised Universal Soil Loss Equation, in-situ soil data measurement and satellite products. The soil erosion effect on agricultural land productivity was discussed to highlight the usefulness of soil and water conservation practices in Southern Mali.
Results: The results of the land use and land cover change analysis from 2015 to 2019 revealed significant area reductions in water bodies, bare land, and savanna woodland for the benefit of increased natural vegetation and agricultural land. There was significant variation in the annual soil loss under the different land use conditions. Despite recordings of the lowest soil erosion rates in the majority of the landscape (71%) as a result of field-based soil and water conservation practices, the highest rates of erosion were seen in agricultural fields, resulting in a reduction in agricultural land area and a loss of nutrients that are useful for plant growth. Spatial nutrient modelling and mapping revealed a high deficiency and significant variations (p < 0.05) in nitrogen (N), phosphorus (P), potassium (K), and carbon (C) in all land use and land cover types for the two agroecologies.
Conclusions: The study highlighted the inadequacies of existing field-based soil and water conservation practices to reduce soil erosion and improve landscape management practices. The findings of the study can inform land management planners and other development actors to strategize and prioritize landscape-based intervention practices and protect catchment areas from severe erosion for the enhanced productivity of agricultural fields.
Results: The results of the land use and land cover change analysis from 2015 to 2019 revealed significant area reductions in water bodies, bare land, and savanna woodland for the benefit of increased natural vegetation and agricultural land. There was significant variation in the annual soil loss under the different land use conditions. Despite recordings of the lowest soil erosion rates in the majority of the landscape (71%) as a result of field-based soil and water conservation practices, the highest rates of erosion were seen in agricultural fields, resulting in a reduction in agricultural land area and a loss of nutrients that are useful for plant growth. Spatial nutrient modelling and mapping revealed a high deficiency and significant variations (p < 0.05) in nitrogen (N), phosphorus (P), potassium (K), and carbon (C) in all land use and land cover types for the two agroecologies.
Conclusions: The study highlighted the inadequacies of existing field-based soil and water conservation practices to reduce soil erosion and improve landscape management practices. The findings of the study can inform land management planners and other development actors to strategize and prioritize landscape-based intervention practices and protect catchment areas from severe erosion for the enhanced productivity of agricultural fields.
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