scholarly journals KRITERIA RUANG TERBAIK KOMPLEK PERMUKIMAN BERDASARKAN PEMETAAN RISIKO BENCANA BANJIR DI KABUPATEN HULU SUNGAI TENGAH KALIMANTAN SELATAN

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Rosalina Kumalawati ◽  
Farida Angriani ◽  
Dienny Redha Rahmani
Keyword(s):  
Flood Risk ◽  
Flood Plain ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Risk Mapping ◽  
Main River ◽  
Risk Approach ◽  
Natural Disaster Risk ◽  
Flood Risk Mapping

Banjir mulai muncul sejak manusia bermukim dan melakukan berbagai kegiatan di kawasan yang berupa dataran banjir (flood plain) suatu sungai termasuk di Kalimantan Selatan, Indonesia. Kabupaten Hulu Sungai Tengah beberapa kali terkena bencana banjir di daerah yang padat penduduk. Penelitian ini bertujuan untuk mengetahui kriteria  ruang terbaik komplek permukiman berdasarkan pemetaan risiko bencana banjir di Kabupaten Hulu Sungai Tengah Kalimantan Selatan. Metode penelitian ini adalah mix method. Teknik analisis yang akan digunakan untuk penentuan kriteria ruang terbaik komplek permukiman berbasis risiko bencana banjir dalam bentuk peta (2D) dan maket (3D) dengan pendekatan tingkat risiko sungai utama dan kepadatan permukiman. Wilayah yang direncanakan untuk pembangunan ruang yang baru, harus memasukkan faktor risiko bencana alam. Hasil dari penelitian ini adalah kriteria ruang terbaik komplek permukiman berdasarkan pemetaan risiko bencana banjir di Kabupaten Hulu Sungai Tengah Kalimantan Selatan  dalam bentuk maket. Sebagian besar kecamatan di Kabupaten Hulu Sungai Tengah tidak mempunyai risiko terhadap bencana banjir. Daerah yang tidak mempunyai risiko bencana banjir dapat dijadikan untuk pembangunan tempat pengungsian dan alokasi pengembangan permukiman yang baru.Kata kunci: Banjir, komplek permukiman, risiko. Floods began to emerge since humans being lives and did various activities in the area of flood plain (flood plain) of a river including in South Kalimantan, Indonesia. Hulu Sungai Tengah District has been affected by floods in densely populated areas. The purpose of this research is to know the best space criteria for complex of settlement based on flood risk mapping in Hulu Sungai Tengah, South Kalimantan. The method of this research is mix method. Analyze technique that used for the determination of the best space criteria of residential complex based on disaster risk in flood map form (2D) and maket (3D) with the main river level risk approach and settlement density. The planned area for new spatial development should include natural disaster risk factors. The results of this study are the best criteria for residential complex based on disaster risk mapping floods in Hulu Sungai Tengah Selatan Selatan Regency in the form of mockups. Most of the sub-districts in Hulu Sungai Tengah have no risk of flood disaster. The areas that do not have the risk of flood disaster can be used for the construction of evacuation sites and the new settlement.Keywords: Flood, risk, settlement complex.

Flood risk mapping and scaling

2012 ◽  
Author(s):  
Nathalie Saint-Geours ◽  
Jean-Stéphane Bailly ◽  
Frédéric Grelot ◽  
Christian Lavergne
Keyword(s):  
Flood Risk ◽  
Risk Mapping ◽  
Flood Risk Mapping

scholarly journals Building Asset Value Mapping in Support of Flood Risk Assessment: A Case Study of Shanghai, China

2017 ◽  
Author(s):  
Jidong Wu ◽  
Xu Wang ◽  
Elco Koks
Keyword(s):  
Risk Assessment ◽  
Natural Disaster ◽  
Flood Risk ◽  
Statistical Data ◽  
Disaster Risk ◽  
Flood Risk Assessment ◽  
Building Stock ◽  
Floor Area ◽  
Asset Value ◽  
Natural Disaster Risk

Abstract. Exposure is an integral part of any natural disaster risk assessment. As one of the consequences of natural disasters, damage to buildings is one of the most important concerns. As such, estimates of the building stock and the values at risk can assist natural disaster risk management, including determining the damage extent and severity. Unfortunately, only little information about building asset value is readily available in most countries (especially its spatial distributions) including in China, given that the statistical data on building floor area (BFA) is collected by administrative unities in China. In order to bridge the gap between aggregated census statistical buildings floor-area data to geo-coded building asset value data, this article introduces a methodology for a city-scale building asset value mapping using Shanghai as an example. It consists of a census BFA disaggregation (downscaling) by means of a building footprint map extracted from high-resolution remote sensing data and LandScan population density data, and a financial appraisal of building asset values. A validation with statistical data confirms the feasibility of the modelled building storey. The example of the use of the developed building asset value map in exposure assessment of a flood scenario of Shanghai demonstrated that the dataset offers immense analytical flexibility for flood risk assessment. The method used in this paper is transferable to be applied in other cities of China for building asset value mapping.

The land morphology approach to flood risk mapping: An application to Portugal

2017 ◽  
Vol 193 ◽  
pp. 172-187 ◽  
Author(s):  
N.S. Cunha ◽  
M.R. Magalhães ◽  
T. Domingos ◽  
M.M. Abreu ◽  
C. Küpfer
Keyword(s):  
Flood Risk ◽  
Risk Mapping ◽  
Flood Risk Mapping
Sign in / Sign up

Export Citation Format

Share Document