Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia
The application of remote sensing data has been significant in modeling soil erosion. However, previous studies have fallen short in elucidating and lacked an understanding of the multifactor influencing erosion. This study addresses these limitations by employing the InVEST and the Geodetector mode...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Scientifica |
| Online Access: | http://dx.doi.org/10.1155/2024/7251691 |
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| author | Irmadi Nahib Yudi Wahyudin Fahmi Amhar Wiwin Ambarwulan Nunung Puji Nugroho Bono Pranoto Destika Cahyana Fadhlullah Ramadhani Nawa Suwedi Mulyanto Darmawan Turmudi Turmudi Jaka Suryanta Vicca Karolinoerita |
| author_facet | Irmadi Nahib Yudi Wahyudin Fahmi Amhar Wiwin Ambarwulan Nunung Puji Nugroho Bono Pranoto Destika Cahyana Fadhlullah Ramadhani Nawa Suwedi Mulyanto Darmawan Turmudi Turmudi Jaka Suryanta Vicca Karolinoerita |
| author_sort | Irmadi Nahib |
| collection | DOAJ |
| description | The application of remote sensing data has been significant in modeling soil erosion. However, previous studies have fallen short in elucidating and lacked an understanding of the multifactor influencing erosion. This study addresses these limitations by employing the InVEST and the Geodetector models. Specifically, it aims (1) to delineate both spatial and temporal variations in soil erosion within the Citarum watershed from 2010 to 2020, (2) to identify the key drivers of soil erosion and unravel the underlying mechanisms, and (3) to identify the high-risk zones for soil erosion. Both models consider a range of natural predictors, including topography (slope factor), climate (precipitation factor), and vegetation cover (vegetation factor). In addition, they incorporate social parameters such as income per capita and population density, which interact with the watershed’s position in the downstream, middle, and upper streams. The results reveal that, over a decade, the average soil erosion increased by 15.50 × 106 tons, marking a 16.65% surge. The impact of factors varies significantly across different subwatershed areas. For example, fraction vegetation cover interactions influence upper- and middle-stream regions, while the downstream area is notably affected by precipitation interactions. The high-risk erosion areas in the watershed are primarily influenced by slope, precipitation, and fractional vegetation cover. In these areas, factors causing high erosion risks include slope, precipitation, and other environmental variables categorized into strata. The study highlights the varying influential factors in different watershed areas. |
| format | Article |
| id | doaj-art-d500e14792664080b62fb94f5178d00d |
| institution | Kabale University |
| issn | 2090-908X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Scientifica |
| spelling | doaj-art-d500e14792664080b62fb94f5178d00d2025-02-03T06:47:13ZengWileyScientifica2090-908X2024-01-01202410.1155/2024/7251691Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, IndonesiaIrmadi Nahib0Yudi Wahyudin1Fahmi Amhar2Wiwin Ambarwulan3Nunung Puji Nugroho4Bono Pranoto5Destika Cahyana6Fadhlullah Ramadhani7Nawa Suwedi8Mulyanto Darmawan9Turmudi Turmudi10Jaka Suryanta11Vicca Karolinoerita12Research Center for GeospatialFaculty of AgricultureResearch Center for GeospatialResearch Center for GeospatialResearch Center for Ecology and EthnobiologyResearch Center for GeospatialResearch Center for Food CropsResearch Center for GeospatialResearch Center for GeospatialResearch Center for GeospatialResearch Center for GeospatialResearch Center for GeospatialResearch Center for GeospatialThe application of remote sensing data has been significant in modeling soil erosion. However, previous studies have fallen short in elucidating and lacked an understanding of the multifactor influencing erosion. This study addresses these limitations by employing the InVEST and the Geodetector models. Specifically, it aims (1) to delineate both spatial and temporal variations in soil erosion within the Citarum watershed from 2010 to 2020, (2) to identify the key drivers of soil erosion and unravel the underlying mechanisms, and (3) to identify the high-risk zones for soil erosion. Both models consider a range of natural predictors, including topography (slope factor), climate (precipitation factor), and vegetation cover (vegetation factor). In addition, they incorporate social parameters such as income per capita and population density, which interact with the watershed’s position in the downstream, middle, and upper streams. The results reveal that, over a decade, the average soil erosion increased by 15.50 × 106 tons, marking a 16.65% surge. The impact of factors varies significantly across different subwatershed areas. For example, fraction vegetation cover interactions influence upper- and middle-stream regions, while the downstream area is notably affected by precipitation interactions. The high-risk erosion areas in the watershed are primarily influenced by slope, precipitation, and fractional vegetation cover. In these areas, factors causing high erosion risks include slope, precipitation, and other environmental variables categorized into strata. The study highlights the varying influential factors in different watershed areas.http://dx.doi.org/10.1155/2024/7251691 |
| spellingShingle | Irmadi Nahib Yudi Wahyudin Fahmi Amhar Wiwin Ambarwulan Nunung Puji Nugroho Bono Pranoto Destika Cahyana Fadhlullah Ramadhani Nawa Suwedi Mulyanto Darmawan Turmudi Turmudi Jaka Suryanta Vicca Karolinoerita Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia Scientifica |
| title | Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia |
| title_full | Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia |
| title_fullStr | Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia |
| title_full_unstemmed | Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia |
| title_short | Analysis of Factors Influencing Spatial Distribution of Soil Erosion under Diverse Subwatershed Based on Geospatial Perspective: A Case Study at Citarum Watershed, West Java, Indonesia |
| title_sort | analysis of factors influencing spatial distribution of soil erosion under diverse subwatershed based on geospatial perspective a case study at citarum watershed west java indonesia |
| url | http://dx.doi.org/10.1155/2024/7251691 |
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