Analisis Koefisien Limpasan Permukaan Kota Makassar Dengan Metode Cook

Nganro, Sudirman; Trisutomo, Slamet; Barkey, Roland A.; Ali, Mohamad

doi:10.14710/tataloka.21.2.285-292

Cited by 8 publications

(18 citation statements)

References 2 publications

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“…The calculation was processed using intersect. The data for the flow coefficients classification was obtained from the results of intersect processing [9]- [11], [13].…”

Section: Flow Coefficient Classificationmentioning

confidence: 99%

“…The Landsat 8 data was obtained from the process of conversion coordinates system, composite band, crop composite, extent shp, sharpen band, unsupervised classification, and land cover classification analysis [8] [9] [10] [11] . The classification of land cover based on the flow coefficient is presented in the following table.…”

Section: Land Use Classificationmentioning

confidence: 99%

“…The flow coefficient classification of the study area is obtained by combining slope classification and land use classification [2]. The percentage value of water that enters the ground and the percentage of water that runs off the surface is obtained based on the results of flow coefficient classification [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

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Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency

Utama¹,

Immaduddin²,

Indriani

2022

IOP Conf. Ser.: Earth Environ. Sci.

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This study aims to determine physiographic characteristics based on the slope and land use which affect water control in Embung Hendrosari area, Gresik. The data used in this study are DEM data, Landsat 8 image data, and river data. The slope data processing is carried out through slope classification analysis. The Landsat 8 data processing is used for land use classification analysis. The slope classification maps and land use classification maps are used to classify flow coefficients. There are five land classifications obtained in land cover classification map including agriculture, settlements, industrial areas, plantations, and waters. There are 5 classifications obtained on the slope classification map, including flat, sloping, slightly steep, steep and very steep. The flow coefficient analysis is performed from the combination of land use data and slope data. The flow coefficient is influenced by the characteristics of the land cover and the slope of the slope. The average flow coefficient of Embung Hendrosari area is 0.31, which classified as medium flow coefficient. This indicates that 31% of the water is run off on the ground surface and 69% of the water is absorbed below the soil surface. There are changes in land function in Embung Hendrosari area, for example, agriculture area which changed into settlement and/or industry, which will significantly affect the value of the flow coefficient. The change in land use causes more water to run off the surface. This runoff water management requires a water reservoir that can be directed toward reservoir. The results of this study show such an initial step in hydrological engineering by its development, improvement, utilization, and control of water flow by utilizing the function of Hendrosari Gresik reservoir.

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“…The calculation was processed using intersect. The data for the flow coefficients classification was obtained from the results of intersect processing [9]- [11], [13].…”

Section: Flow Coefficient Classificationmentioning

confidence: 99%

Section: Land Use Classificationmentioning

confidence: 99%

See 1 more Smart Citation

Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency

Utama¹,

Immaduddin²,

Indriani

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Unsur geografi lingkungan yang meliputi penggunaan lahan dan tutupan lahan (Aurdin, 2014;Dewi, Limantara, 2016), dan identifikasi daerah aliran sungai (DAS) yang berdampak banjir pada objek penelitian menggunakan teknik analisis citra berbasis SIG. Penentuan koefisien limpasan permukaan pada objek penelitian menggunakan metode Cook ( Wahyuningrum, 2007;Samaawa, 2016 ), nilai koefisien limpasan permukaan adalah salah satu parameter untuk menghitung debit banjir dengan metode HSS Nakayasu (Subarkah, 1980;Nganro, Trisutomo, 2019).…”

Section: Aspek Geografi Lingkunganunclassified

“…Berdasarkan analisis dengan metode Cook, nilai koefisien limpasan permukaan objek penelitian diperoleh sebesar 0,4734 (Nganro, Trisutomo, 2019 Kota Makassar pada saat hujan dengan intensitas tinggi, pada sebagian wilayah mengalami banjir dan menyebabkan rumah tergenang air, sehingga diperlukan suatu model yang berfungsi sebagai instrumen spasial penentuan level dasar bangunan (peil). Model spasial level dasar bangunan dibangun dengan memperhitungkan variable kenaikan muka air laut global, pasang air laut, banjir aluvial dan banjir kiriman, penggunaan lahan dan tutupan lahan dengan 5 kelas yaitu bisnis, permukiman, hutan, pertanian, dan tubuh air.…”

Section: Kenaikan Muka Air Laut Globalunclassified

Model Spasial Level Dasar Bangunan Kota Tepian Air (Studi Kasus: Kota Makassar)

Nganro¹,

Trisutomo

Barkey

et al. 2020

tataloka

Self Cite

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Flooding is a threat to coastal cities such as Makassar City. To Avoid the threat of flooding, it is necessary to determine the ground level of the building. This study aims to develop a spatial model for determining the ground level of buildings for Makassar City based on climate change data and environmental geography. Prediction of sea level rise using MAGICC/SCENGEN application, GIS-based satellite image analysis, rainfall analysis using Thiessen polygon method, surface runoff coefficient value determined by Cook method, and design flood discharge analysis with HSU Nakayasu method. The spatial model of the ground level of Makassar City building for 2030 is a function of sea tides, sea level rise due to climate change, alluvial floods and inflow floods that can occur simultaneously. The model produces a spatial map with attributes of geographic coordinates (x,y,z).

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Physiographic Study for Hydrology of Benowo Region Surabaya

Indriani¹,

Utama

2023

IOP Conf. Ser.: Earth Environ. Sci.

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This study seeks to identify the physiographic characteristics based on slope and land use that influence water management in the Benowo area of Surabaya. This research utilized DEM data and Landsat 8 data. Slope analysis and land use analysis were employed in the data processing procedure. The slope classification map yielded five categories: flat, sloping, slightly steep, steep, and very steep. The land classification map featured five categories: agriculture, settlements, industrial, plantations, and waters. Based on the slope and land use, a flow coefficient analysis was performed. The average flow coefficient for the Benowo area of Surabaya was 0.35, which was categorized as a medium flow coefficient, and 65 percent of the water was absorbed by the soil below the surface. Changes in land function in the Benowo region, from agriculture and water to residential or industrial, will have a significant impact on the flow coefficient value. Changes in land function result in increased surface runoff. Water management is a crucial aspect of development planning. This study’s findings provide a foundation for hydrological engineering, development, improvement, utilization, and control of water flow, particularly in the Benowo area of Surabaya.

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Analisis Koefisien Limpasan Permukaan Kota Makassar Dengan Metode Cook

Cited by 8 publications

References 2 publications

Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency

Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency

Model Spasial Level Dasar Bangunan Kota Tepian Air (Studi Kasus: Kota Makassar)

Physiographic Study for Hydrology of Benowo Region Surabaya

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