Flood Problem in Pekanbaru City Analysis Using GIS Approach

Kausarian, Husnul; Suryadi, Adi; Susilo,; Batara, B.; Sumantyo, Josaphat Tetuko Sri

doi:10.1088/1742-6596/1783/1/012090

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The landslide vulnerability of an area can be seen from how often landslides occur and can also be seen from the geological condition of the area [1][2][3][4][5] . A landslide is a movement of soil mass on the slope plane, from high elevation to low elevation at a time [6][7][8][9] . The trigger for this movement of soil mass is internal instability in the soil, where the shear strength of the soil has been exceeded.…”

Section: Introductionmentioning

confidence: 99%

Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Kausarian,

Septio,

Josaphat Tetuko Sri Sumantyo

et al. 2023

Evergreen

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This study focuses on mapping areas that are vulnerable to landslides in tropical areas by taking a case study in the district of XIII Koto Kampar, Riau Province, Indonesia, which is in the tropical areas on 0°01'40"N to 0°27'00"N and 100°28'30"E -101°14'30"E. This study aims to determine the characteristics of landslide assessment and the zone mapping of the landslide vulnerability level using a comprehensive method from primary and secondary data. Primary data are Geological Data, Digital Elevation Model (DEM), and Landsat-8 OLI Satellite Imagery Data. Furthermore, secondary data consists of Lithological Data, Slopes Data, Relative Relief Data, Land Wetness Data, Land Cover Data, and 2021 Rainfall Data. The analysis of landslide vulnerability areas in this study is processed using a Geographic Information System (GIS) for scoring and classifying landslide vulnerability areas. From all the processed data, an analysis is carried out to connect and overlay them to get complete data in determining the zoning of the landslide vulnerability classification in the research area. The study in this research area resulted in a landslide vulnerability score and classification that was divided into 4 categories: Very Low Vulnerability area (22.6%), Low Vulnerability area (61.8%), Medium Vulnerability area (15.2%), High Vulnerability area (0.4%).

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Section: Introductionmentioning

confidence: 99%

Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Kausarian,

Septio,

Josaphat Tetuko Sri Sumantyo

et al. 2023

Evergreen

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“…Fibrous peat soils have poor physical and technical properties, namely high-water content and void ratio, low specific gravity and carrying capacity, and large and uneven compression. Peatlands that are dry and no longer store water which then causes subsidence or subsidence (Anbalagan, 1992;He et al, 2022;Kausarian et al, 2020Kausarian et al, , 2021. There are two types of subsidence, namely endogenic subsidence and exogenic subsidence.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Land Subsidence in Peatlands in the Awareness Area of Pekanbaru, Riau, Indonesia

Kausarian,

Sari,

Mairizki

et al. 2023

JAGI

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This study area is administratively located in Parit Indah District, Bukit Raya District, Pekanbaru City, Riau Province. Geographically, the research area is located at coordinates 0° 28' 30.92" N 101° 28' 9.45" E N 0° 27' 25.63" - 101° 29' 47.30" E. The aim of this study was to find out the effect of peat soil types on subsidence. The data collection method in this study was carried out using sieve analysis, water content analysis, specific gravity, subsidence analysis, and soil testing in the laboratory. The effect of peat soil on subsidence has a significant effect between the type of peat and subsidence, the higher the maturity level of the peat, the lower the level of subsidence on peat soil. Based on the study's results, the soil consolidation test with a depth of 75cm-3m had a soil settlement value of 0.467. It is recommended to do this to reduce the impact of subsidence in the land area such as the research area so that it does not have too much impact on the construction which is carried out by hardening the location using the vertical wick drain method, as well as for building foundations it can be done using chicken claw foundation.

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Catchment Morphometric Characterization of the Akaki River in the Upper Awash Sub-Basin, Ethiopia

Sisay

2022

Preprint

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Morphometry is the measurement and analysis of a catchment in the form of fingerprint characteristics. Morphometric studies play an important role in the areas of soil and water conservation, flood control, pollutant and waste management and socio – environmental protection. In this study, morphometrical data analysis indices are gained from high-resolution (12.5 m X 12.5 m) digital elevation model dataset for the of the Akaki watershed. The techniques performed using spreadsheet, R-programming, and ArcGIS tools. Results designate the Akaki watershed as dendritic drainage with elongated channels and irregular spreading streams ramifications. The big Akaki is the longest distance routing river among tributaries in the watershed. The Akaki watershed is expressed by 25% of steep sloppy coverages of Entoto, Yeka, and Sebeta mountainous areas. The implication on the morphometry of the catchment is to higher lag time of flow to reach its outlet. But the flood risk in the downstream areas can be due to the urban and peri – urban land uses with high pavement structures. In terms of the topographic wetness index (TWI), the higher elevation and river abatements areas have low moisture-holding capacities due to the hypsometrical characteristics of the landforms. High rainfall with lower evaporation rate recordings implies that the watershed has good groundwater recharge with good aquifer characteristics. This study could be a primary source of information for future development projects of watershed management, urban planning, riverside rehabilitation, flood controls and stormwater management practices in the Akaki watershed.

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Flood Problem in Pekanbaru City Analysis Using GIS Approach

Cited by 3 publications

References 8 publications

Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Landslide Vulnerability Identification Based on the Geological Condition, GIS Calculation, and Field Validation in the Tropical Area

Analysis of Land Subsidence in Peatlands in the Awareness Area of Pekanbaru, Riau, Indonesia

Catchment Morphometric Characterization of the Akaki River in the Upper Awash Sub-Basin, Ethiopia

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