Landslide database and susceptibility map updating of a test area in the Serchio River basin (northern Tuscany, Italy)

2019 ◽  
Vol 48 ◽  
pp. 29-34
Author(s):  
Margherita Agostini ◽  
Yuri Galanti ◽  
Nicola Del Seppia ◽  
Giacomo D'Amato Avanzi ◽  
Roberto Giannecchini
Keyword(s):  
River Basin ◽  
Test Area ◽  
Susceptibility Map ◽  
Landslide Database ◽  
Map Updating

scholarly journals Soil Erosion Susceptibility Mapping of Imo River Basin Using Modified Geomorphometric Prioritisation Method

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Peter C. Nwilo ◽  
Caleb O. Ogbeta ◽  
Olagoke E. Daramola ◽  
Chukwuma J. Okolie ◽  
Michael J. Orji
Keyword(s):  
Soil Erosion ◽  
River Basin ◽  
Low Income ◽  
Prediction Accuracy ◽  
Remote Sensing Data ◽  
Shuttle Radar Topography Mission ◽  
Low Income Countries ◽  
Susceptibility Map ◽  
Operating Characteristics ◽  
Very High

Abstract Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, environmental biodiversity and food safety for the world's population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-watersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model's prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high priority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.

scholarly journals Landslide susceptibility zonation in the Tartagal River basin, Sierras Subandinas, Salta, Argentina

2021 ◽  
Vol 48 (1) ◽  
pp. 75
Author(s):  
Claudia Paola Cardozo ◽  
Guillermo Toyos ◽  
Valérie Baumann
Keyword(s):  
River Basin ◽  
Accuracy Assessment ◽  
Mitigation Strategies ◽  
Susceptibility Map ◽  
Stereo Pair ◽  
High Susceptibility ◽  
Conditioning Factors ◽  
Inventory Map ◽  
Using Data ◽  
Very High

On February 2009 intense rainfall triggered landslides in the Tartagal River basin that evolved into a debris flow that caused severe flooding in the town of Tartagal, Salta, Argentina. Based on these events, this paper presents a first attempt to map the landslides susceptibility in the Tartagal River basin. First, we elaborated an inventory map by using a 10 m pixel SPOT image acquired just after the disaster. Second, we evaluated a set of conditioning factors, which included lithology, slope and curvature; we derived the topographical variables from a 12.5 m pixel digital elevation model (DEM) based on a stereo-pair of satellite images ALOS-PRISM. Finally, we used these conditioning factors and the 2009 landslides inventory map as input for a heuristic model to elaborate the susceptibility map. The results indicated that landslides affected an area of 8 km2 and that at least 2.2x106 m3 of material were removed. The susceptibility map identified zones of low, moderate, high and very high susceptibility that occupied 18, 22, 25 and 17 km2, respectively. Accuracy assessment using data covering landslides occurred in 2006 showed that 95% of them fell within the high and very high susceptibility areas. The results presented herein provide vital baseline information for future studies and may contribute for the development of landslide hazard mitigation strategies.

Perencanaan Sistem Pengurangan Sampah Permukiman Bantaran Sungai Cidurian Kota Bandung

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Raka Maulana ◽  
Yulianti Pratama ◽  
Lina Apriyanti
Keyword(s):  
Waste Management ◽  
River Basin ◽  
River Flow ◽  
Waste Reduction ◽  
Residential Areas ◽  
Community Based ◽  
Inorganic Waste ◽  
Waste Bank ◽  
The City

<p>Some areas in the city of Bandung is an area that dilitasi by the flow of the river, to prevent the introduction of garbage into the river basin is necessary to note the waste management systems in residential areas along the river. Cidurian river has a length of 24.86 Km along the river flow. Consists of the city of Bandung and Bandung regency. Administrative regions Cidurian River past eight (8) districts, from the region in the District Kiaracondong precisely Village Babakan Babakan Sari and Surabaya populous and the most densely populated. Thus, there should be community-based waste management in the form of a reduction in resources to prevent potential entry of waste into the river basin. Planning waste reduction will be divided into two, namely the reduction of inorganic waste with waste bank then the reduction of organic waste with absorption holes biopori, and bio reactor mini determination of the reduction is determined by the results of the analysis of the sampling covers the composition and garbage, then the result of the measurement characteristics test and analysis results questionnaire.</p>

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