Arina Miardini
Balai Penelitian dan Pengembangan Teknologi Pengelolaan DAS

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Spatial Distribution of Potential Area for Community Forest Development in Grindulu Watershed Arina Miardini; Pranatasari Dyah Susanti
Geoplanning: Journal of Geomatics and Planning Vol 6, No 1 (2019)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (924.911 KB) | DOI: 10.14710/geoplanning.6.1.73-80

Abstract

The effect of deforestation on environmental degradation shifted the orientation of forest management into carrying capacity of the watershed. Based on Law No. 41/1999 on Forestry, mandates adequacy forest area defined a minimum of 30% of the watershed area which fulfilled by public forest and private forest. State forest area has limitations, so the development of community forests is needs for optimal forest area in a watershed is required. The purpose of this study was to determine the spatial distribution of potential areas for community forest development in Grindulu Watershed. The potential of community forest was examined through an interpretation of Landsat 8 of 2016 Path/Row 119/668 for land availability and the transformation of NDVI (Normalized Difference Vegetation Index) as the density classifier. The classification of forest density was low density class of 5148.12 hectares or 7.20% (NDVI = 0 to 0.356), moderate density class of 12,076.39 hectares or 16.88% (NDVI = 0.356 to 0.590), and high density class of 54,294.04 ha or 75.92% (NDVI = 0.590 to 0.841). The land available for prioritized community forest development was 37,774.40 hectares (52.82%) in the form of dry-fields, shrubs, grasses, farms, which were located outside the protected areas and production forest. Based on the assessment of field surveys which were conducted proportionally at 89 samples, known good accuracy results by 0.84. Potential area for community forest development was 31,281.54 ha (43.74%) including in Pacitan (9 districts) of 29,111.98 hectares, Ponorogo (5 districts) of 263.29 hectares, and Wonogiri (2 districts) of 1,906.27 hectares.
PENENTUAN PRIORITAS PENANGANAN BANJIR GENANGAN BERDASARKAN TINGKAT KERAWANAN MENGGUNAKAN TOPOGRAPHIC WETNESS INDEX Studi Kasus di DAS Solo Arina Miardini; Grace Serepina Saragih
Jurnal Ilmu Lingkungan Vol 17, No 1 (2019): April 2019
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1191.376 KB) | DOI: 10.14710/jil.17.1.113-119

Abstract

The increasing frequency of flood events is an indication of the failure of watershed management. Natural resource utilization activities in the Solo watershed tend to be intensive from upstream to downstream, cause a decrease in the carrying capacity of the watershed. To restore the carrying capacity of the watershed, efforts are needed to monitor and evaluate watersheds. The initial stage that needs to be done is to ensure the accuracy of the flood-prone areas by determining priority areas. The purpose of the study is to determine the flood-prone areas in the Solo watershed based on the level of flood vulnerability. Flood vulnerability is influenced by topographic conditions. The Topographic Wetness Index (TWI) method was used to determine the flood-prone areas. The high TWI value indicates that the area has high flood vulnerability and is associated with flat topography with high flow density. This method is based on raster data was derived from DEM 30 m data which is reduced to slope through spatial analysis tools and the accumulation flow is analyzed using Watershed Delineation Tools (WDT). Based on the results of the analysis, the priority of flood handling is determined in the criterion-very vulnerable area with TWI 11.65-38.30 identified as 387098.23 ha (39.68%). Flood handling in the Solo watershed is prioritized on 1) Bojonegoro Regency covering 105215.13 ha, 2) Ngawi (56810.68 ha), 3) Madiun (44102.06 ha), 4) Tuban covering an area of 43072.06 ha, and 5) Ponorogo (35853.62 ha).