Urban Flood Prevention

2019 ◽  
pp. 173-193
Author(s):  
Marc Illgen ◽  
Holger Ackermann
Keyword(s):  
Urban Flood ◽  
Flood Prevention

scholarly journals Dynamic Assessment of Flood Hazard Based on Points-of-Interest Data

2021 ◽  
Author(s):  
Xin Su ◽  
Weiwei Shao ◽  
Jiahong Liu
Keyword(s):  
Hazard Assessment ◽  
Flood Hazard ◽  
Dynamic Assessment ◽  
Disaster Mitigation ◽  
Mitigation Measures ◽  
Urban Flood ◽  
Flood Prevention ◽  
Points Of Interest ◽  
High Degree ◽  
The Impact

In order to better formulate flood prevention and disaster mitigation measures and reduce the impact of urban flood on social development, it is necessary to conduct a scientific and accurate flood hazard assessment. The development of big data technology has brought new opportunities for flood hazard assessment. This study used a coupling model to simulate urban flood, and used the HR method to classify flood hazard. The dynamic change process of two types of Points-of-Interest(POIs) for catering services and living services under different flood hazard degrees were counted. The results showed that (1) In the northern part of the basin, mountainous, impervious ground and the lack of effective drainage channels have combined to cause more serious floods; (2) The flood hazard were mainly low-degree in the study area. Moderate flood hazard mainly occurred in farmland and built-up land. High-degree and extreme-degree flood hazard mainly occurred on both sides of rivers in the northwest of the basin; (3) Affected by the rainfall pattern, the number of POI affected by flood presented the characteristics of “three stages” under four flood hazard degrees; (4) The POIs of the two services was most seriously affected by the flood when the rainfall just stopped; (5) In terms of the proportion of POIs affected by floods, the impact of floods on the two industries is basically the same, but from the perspective of the number of POIs affected by floods, catering services will be more affected; (6) The spatial location of the POIs led to a slight difference in the trend of the number of POIs under high-degree and extreme-degree flood hazard. This study provided a new method for urban flood hazard dynamic assessment, which could help decision makers formulate more targeted flood prevention and disaster mitigation measures

scholarly journals THE PERFORMANCE ANALYSIS OF THE URBAN FLOOD PREVENTION PROJECT IN KOREA

2017 ◽  
Author(s):  
JUNGNAM PARK ◽  
JEONGMIN KWON ◽  
SANGWON HAN ◽  
BYOUNGMANN PARK ◽  
JUNGGYU HAN ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Urban Flood ◽  
Flood Prevention ◽  
Prevention Project

scholarly journals Analysis of urban flood prevention emergency plan in Pinghu City

2019 ◽  
Vol 376 ◽  
pp. 012056
Author(s):  
Lirong Wang ◽  
Bin Yan ◽  
Xiaobing Ma
Keyword(s):  
Emergency Plan ◽  
Urban Flood ◽  
Flood Prevention

The Miami Conservancy Flood Prevention Plan

1919 ◽  
Vol 120 (12) ◽  
pp. 282-283
Author(s):  
W. A. Drake
Keyword(s):  
Flood Prevention ◽  
Prevention Plan

Floods and Flood Prevention in China

1935 ◽  
Vol 4 (21) ◽  
pp. 164-168
Author(s):  
Edward T. Lockwood
Keyword(s):  
Flood Prevention

Kajian Debit Sungai di DAS Wae Ruhu, Kota Ambon

2018 ◽  
Vol 1 (1) ◽  
pp. 18-23
Author(s):  
Matheus Souisa ◽  
Paulus R. Atihuta ◽  
Josephus R. Kelibulin
Keyword(s):  
River Discharge ◽  
River Flow ◽  
Secondary Data ◽  
Data Retrieval ◽  
Sediment Discharge ◽  
Flood Prevention ◽  
Retrieval Processes ◽  
Water Catchment ◽  
Steep Slopes ◽  
Station Point

Ambon City is a region consisting of hilly areas and steep slopes with diverse river characteristics. Research has been carried out in the Wae Ruhu watershed in Ambon City which starts from upstream (water catchment) to downstream. This study aims to determine the magnitude of river discharge and sediment discharge in the Wae Ruhu watershed. This research was conducted in several stages including, secondary data collection, research location survey, preparation of research tools and materials as well as field data retrieval processes which included tracking coordinates at each station point and entire watershed, calculation of river flow velocity, river geometry measurements, and sampling sediment. The results showed that the average river discharge in the Wae watershed in the year 2018 was 1.24 m3 / s, and the average sediment discharge was 6.27 kg / s. From the results of this study and the field observations proposed for flood prevention and the rate of sediment movement are the construction of cliffs with sheet pile and gabions.

Urban Flood Mapping

2017 ◽  
Author(s):  
Indra Riyanto ◽  
Lestari Margatama
Keyword(s):  
Natural Disasters ◽  
Satisfying Condition ◽  
Three Dimensions ◽  
Urban Flood ◽  
Digital Elevation ◽  
Elevation Data ◽  
Recent Occurrence ◽  
Elevation Model ◽  
Digital Elevation Model Data ◽  
Potential Area

The recent degradation of environment quality becomes the prime cause of the recent occurrence of natural disasters. It also contributes in the increase of the area that is prone to natural disasters. Flood history data in Jakarta shows that flood occurred mainly during rainy season around January – February each year, but the flood area varies each year. This research is intended to map the flood potential area in DKI Jakarta by segmenting the Digital Elevation Model data. The data used in this research is contour data obtained from DPP–DKI with the resolution of 1 m. The data processing involved in this research is extracting the surface elevation data from the DEM, overlaying the river map of Jakarta with the elevation data. Subsequently, the data is then segmented using watershed segmentation method. The concept of watersheds is based on visualizing an image in three dimensions: two spatial coordinates versus gray levels, in which there are two specific points; that are points belonging to a regional minimum and points at which a drop of water, if placed at the location of any of those points, would fall with certainty to a single minimum. For a particular regional minimum, the set of points satisfying the latter condition is called the catchments basin or watershed of that minimum, while the points satisfying condition form more than one minima are termed divide lines or watershed lines. The objective of this segmentation is to find the watershed lines of the DEM image. The expected result of the research is the flood potential area information, especially along the Ciliwung river in DKI Jakarta.

Sign in / Sign up

Export Citation Format

Share Document