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Interphase Modeling of Soil Erosion Hazard Using a Geographic Information System and the Universal Soil Loss Equation
Azmeria, Legowo S.b, Rezkyna N.a
a Department of Civil Engineering, Syiah Kuala University, Aceh Province, Banda Aceh, 23111, Indonesia
b Faculty of Civil and Environmental Engineering, Institute Technology of Bandung (ITB), West Java Province, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020, Chinese Soil and Water Conservation Society. All right reserved.Rapid erosion is a complex problem that affects regional environments and economies worldwide. Soil erosion should be spatially evaluated to develop effective land management strategies. In recent decades, soil erosion models have been integrated with geographic information systems (GISs) for the temporal-spatial analysis of soil erosion transport. The Universal Soil Loss Equation (USLE) has been used in many countries, and its input parameter data have been well established. In this study, a GIS was used to generate accurate estimates of the spatial distributions of the USLE parameters. According to the modeling of soil erosion, the watershed of the Krueng Baro river exhibited a spatially varied level of erosion. The interaction between the USLE factors significantly influenced the average of annual rate of soil loss. Evidently, the regions experiencing severe and very severe soil loss were closely correlated with steep gradients and deforestation. The low and very low rates of soil loss were associated with conservation practices and protected areas. The results of this study can be used by decision makers and planners to simulate regional scenarios and design interventions to reduce erosion.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]GIS,Krueng Baro watershed,Soil erosion,USLE[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]The authors would like to thank Syiah Kuala University and the Ministry of Research, Technology and Higher Education of the Republic of Indonesia for all the funding provided for this research.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.29417/JCSWC.202006_51(2).0003[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]