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Journal : Forum Geografi

Study on Geomorphology of Cepogo Sub-District, Boyolali, Central Java Purwanto, Ajun
Forum Geografi Vol 11, No 1 (1997)
Publisher : Forum Geografi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

There are two point of this geomorphological research. Firstly, to study the characteristic or physical condition of the observed area. Secondly, data providing or geomorphology information extracted from geomorphological map of scale 1 : 25.000. this research included literature study collecting of primary and secondary data. The method applied in this researh was the map interpretation of the observed area. The maps interpretation  included topographical, geological, slope, and soil. Fieldwork was carried out to compare the result of maps interpretation  with the facts of field, all at once for recording and surveying of the field physical data observed in the research. There were four types of recorded physical data i.e morphology, morphogenesis, morphocronology,, and morphoarrangement. In the research there was known that the observed area consists of an origin landform i.e. formation of volcanic origin and distinguished into nine units of landform. In broad outline, in the observed area of the research, there were many geomorphological processes i.e. weathering, erosion, and massdenudation of rocks, and there were also found steeply slopes deep valleys and formation of alluvial fan.
Study on Geomorphology of Cepogo Sub-District, Boyolali, Central Java Ajun Purwanto
Forum Geografi Vol 11, No 1 (1997)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v11i1.497

Abstract

There are two point of this geomorphological research. Firstly, to study the characteristic or physical condition of the observed area. Secondly, data providing or geomorphology information extracted from geomorphological map of scale 1 : 25.000. this research included literature study collecting of primary and secondary data. The method applied in this researh was the map interpretation of the observed area. The maps interpretation  included topographical, geological, slope, and soil. Fieldwork was carried out to compare the result of maps interpretation  with the facts of field, all at once for recording and surveying of the field physical data observed in the research. There were four types of recorded physical data i.e morphology, morphogenesis, morphocronology,, and morphoarrangement. In the research there was known that the observed area consists of an origin landform i.e. formation of volcanic origin and distinguished into nine units of landform. In broad outline, in the observed area of the research, there were many geomorphological processes i.e. weathering, erosion, and massdenudation of rocks, and there were also found steeply slopes deep valleys and formation of alluvial fan.
Validating the GIS-based Flood Susceptibility Model Using Synthetic Aperture Radar (SAR) Data in Sengah Temila Watershed, Landak Regency, Indonesia Ajun Purwanto; Dony Andrasmoro; Eviliyanto Eviliyanto; Rustam Rustam; Mohd Hairy Ibrahim; Arif Rohman
Forum Geografi Vol 36, No 2 (2022): December 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i2.16368

Abstract

In Indonesia, especially in regions where natural conditions and human activity coexist, flood disasters are a strong possibility. Flooding regularly has an impact on Sengah Temila, which is a component j/ of Indonesia's West Kalimantan Province. The issue in Sengah Temila is that there is little knowledge of the distribution of flood susceptibility in this region. The GIS-based flood susceptibility model has been widely used in Indonesia, but research dedicated to validating the model is limited. SAR-based analysis has been used for flood mapping in Indonesia, but its use for validating flood models has been limited.  The objective of this study is to identify the optimal weighting scenario for a GIS-based multi-criteria analysis flood model for use in the Sengah Temila Watershed. The GIS-based model is created by merging spatial parameters, including slope, elevation, flow accumulation, drainage density, land use and land cover (LULC), soil type, normalized difference vegetation index (NDVI), curvature, rainfall, distance to river, and topographic wetness index (TWI) with weighted multi-criteria analysis. In addition, Sentinel-1 GRD images from before and after the floods have been retrieved from Google Earth Engine using past floods of the watershed. In order to create a SAR-based flood model, the researchers then integrated and categorized the results. Eleven weighting scenarios were used to create eleven GIS-based flood models. To calculate the degree of spatial similarity, all of these models were contrasted with the SAR-based model using the Fuzzy Kappa approach. We found that in order to achieve ideal weighting, slope, topographic wetness index (TWI), rainfall, and flow accumulation should each be given a larger value.