Risk assessment of a dam-break using GIS technology

2003 ◽  
Vol 48 (10) ◽  
pp. 89-95 ◽  
Author(s):  
D.Z. Seker ◽  
S. Kabdasli ◽  
B. Rudvan
Keyword(s):  
Flood Control ◽  
Dam Break ◽  
Flood Wave ◽  
Economic Activities ◽  
Gis Technology ◽  
Process Data ◽  
Hydrologic Modelling ◽  
Digital Elevation ◽  
Elevation Model ◽  
Arcview Gis

Flood disasters cause massive loss of human lives and immense damage to the infrastructure and economic activities, not only in Turkey but also all over the world. Governments consider several long-term and short-term precautions for flood control. The numerical simulation of dam-break problems could be accomplished with geographic information systems and innovation maps. Spread of the flood wave after a dam break can be predicted using these enabling technologies. This kind of advanced modelling technology is becoming an inevitable tool for the decision-making process. Data produced by GIS are used as initial values for FLDWAV. ArcView GIS has been used to produce a Digital Elevation Model and visualization of dam-break effects and propagation of a possible flood wave. Using GIS techniques and hydrologic modelling software, possible effects and damage of a dam-break flood have been investigated and results were simulated to show significant dam break effects on the region.

Reservoir Capacity Measurement and its Curve Preparation Based on DEM

2013 ◽  
Vol 295-298 ◽  
pp. 2384-2387
Author(s):  
Lin Chen ◽  
Yi Fu Zhou ◽  
Jian Feng Liu ◽  
Zhong Hua Yang
Keyword(s):  
Water Surface ◽  
Flood Control ◽  
Storage Capacity ◽  
Topographic Map ◽  
Reservoir Capacity ◽  
Gis Technology ◽  
Capacity Measurement ◽  
Digital Elevation ◽  
Elevation Model ◽  
Control And Management

A precise and reliable basic data is an important for flood control and management for each reservoir, especially DEM. The topographic map above water surface can easily be digitized based on GIS technology. The underwater digital elevation model (DEM) was measured integrated with GPSRTK technology and precision shallow water echo sounder. Therefore, DEM overall reservoir area can be built by integrating these two results. Using the methods of this paper, the reservoir capacity can be automatically generated, reservoir storage capacity table can be automatically prepared, and reservoir capacity curve can also be automatically drawn. The applications in the Guxian and Baisha Reservoir show that this method is simple and feasible.

scholarly journals Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach

2020 ◽  
Vol 12 (17) ◽  
pp. 2767
Author(s):  
Yu Chen ◽  
Yongming Wei ◽  
Qinjun Wang ◽  
Fang Chen ◽  
Chunyan Lu ◽  
...  
Keyword(s):  
Landslide Susceptibility ◽  
Environmental Influence ◽  
Landslide Susceptibility Mapping ◽  
Slope Aspect ◽  
Support Vector ◽  
Gis Technology ◽  
2008 Wenchuan Earthquake ◽  
Structure Information ◽  
Digital Elevation ◽  
Elevation Model

A serious earthquake could trigger thousands of landslides and produce some slopes more sensitive to slide in future. Landslides could threaten human’s lives and properties, and thus mapping the post-earthquake landslide susceptibility is very valuable for a rapid response to landslide disasters in terms of relief resource allocation and posterior earthquake reconstruction. Previous researchers have proposed many methods to map landslide susceptibility but seldom considered the spatial structure information of the factors that influence a slide. In this study, we first developed a U-net like model suitable for mapping post-earthquake landslide susceptibility. The post-earthquake high spatial airborne images were used for producing a landslide inventory. Pre-earthquake Landsat TM (Thematic Mapper) images and the influencing factors such as digital elevation model (DEM), slope, aspect, multi-scale topographic position index (mTPI), lithology, fault, road network, streams network, and macroseismic intensity (MI) were prepared as the input layers of the model. Application of the model to the heavy-hit area of the destructive 2008 Wenchuan earthquake resulted in a high validation accuracy (precision 0.77, recall 0.90, F1 score 0.83, and AUC 0.90). The performance of this U-net like model was also compared with those of traditional logistic regression (LR) and support vector machine (SVM) models on both the model area and independent testing area with the former being stronger than the two traditional models. The U-net like model introduced in this paper provides us the inspiration that balancing the environmental influence of a pixel itself and its surrounding pixels to perform a better landslide susceptibility mapping (LSM) task is useful and feasible when using remote sensing and GIS technology.

GIS Application in Analysis of Flood Inundation

2013 ◽  
Vol 274 ◽  
pp. 496-499
Author(s):  
Ya Qiu Liu ◽  
Chen Hui Zhang ◽  
Xiao Peng Zhang
Keyword(s):  
Damage Assessment ◽  
Flood Control ◽  
Flood Damage ◽  
Ecological Environment ◽  
Flood Inundation ◽  
Gis Application ◽  
Simulation Performance ◽  
Digital Elevation ◽  
Control Decision ◽  
Elevation Model

Flood disaster affects the development of our national economy seriously and made people’s life and property in danger. It also destroyed our ecological environment. In this paper, a model which is based on the geographic information system (GIS) has been introduced with the flood submerging range and submerging algorithm. Experimental results with Xi-tiao-xi area flood region using of digital elevation model (DEM), provides that it is possible to make a rapid flood damage assessment and scientific flood control decision service. The simulation performance is accurate and rapid.

Food Submergence Calculation and Analysis Using Digital Elevation Model and Geographical Information System

2014 ◽  
Vol 571-572 ◽  
pp. 792-795
Author(s):  
Xiao Qing Zhang ◽  
Kun Hua Wu
Keyword(s):  
Information System ◽  
Digital Elevation Model ◽  
Flood Control ◽  
Large Scale ◽  
Geographical Information ◽  
Economic Losses ◽  
Model Data ◽  
Digital Elevation ◽  
Elevation Model ◽  
Digital Elevation Model Data

Floods usually cause large-scale loss of human life and wide spread damage to properties. Determining flood zone is the core of flood damage assessment and flood control decision. The aim of this paper is to delineate the flood inundation area and estimate economic losses arising from flood using the digital elevation model data and geographic information system techniques. Flood extent estimation showed that digital elevation model data is very precious to model inundation, however, in order to be spatially explicit flood model, high resolution DEM is necessary. Finally, Analyses for the submergence area calculation accuracy.

scholarly journals Estimation of Hydrological Outputs using HEC-HMS and GIS

2017 ◽  
Vol 1 (2) ◽  
pp. 390-402
Author(s):  
D. N. Olayinka ◽  
H. E. Irivbogbe
Keyword(s):  
Daily Rainfall ◽  
Depth Estimation ◽  
Hydrologic Modelling ◽  
Runoff Volume ◽  
Flood Warning ◽  
Digital Elevation ◽  
Catchment Delineation ◽  
Computer Based ◽  
Flood Warning Systems ◽  
Elevation Model

Estimating runoff and understanding of the relationship between rainfall and runoff are of great importance in the management of flood. Several computer based hydrological models have been developed and used in simulating runoff in various watersheds in different parts of the world and in water resource studies. This study focuses on the combination of Geographic Information System (GIS) with Hydrologic Engineering Center –Hydrologic Modelling System (HEC-HMS) hydrological model to simulate runoff process of the adjoining areas of the Lagos Island and Eti-Osa Local Government Areas (LGAs). The study makes use of LIDAR Digital Elevation Model (DEM), drainage data and land use map for catchment delineation and hydrological modelling, using HECGeoHMS and ArcGIS 10.2. In HEC-HMS 4.2.1, the delineated catchment with all hydrological parameters and average daily rainfall data, are used to simulate and compute rainfall runoff volume, peak discharges for 10 months (between Jan to October) and a total of three years (2012, 2015 and 2017) were considered. Direct runoff volume and depth estimation for the years under review were determined. Results show that the peak discharge occurred on the 2nd of July 2012 at a rate of 14m3/s with an estimated runoff volume at the basin outlet of 39,669.70 x 103m3 (this date tallies with the severe flood events that occurred in that year). The study shows that estimating hydrological outputs is possible with the use of HEC-HMS and GIS. It recommends the application of such technologies in the prediction and development of basic flood warning systems for the area.

scholarly journals VO-SMOG: A VERSATILE, SMOOTH SEGMENT-BASED GROUND FILTER FOR POINT CLOUDS VIA MULTI-SCALE VOXELIZATION

2021 ◽  
Vol VIII-4/W2-2021 ◽  
pp. 59-66
Author(s):  
E. Che ◽  
A. Senogles ◽  
M. J. Olsen
Keyword(s):  
Laser Scanning ◽  
Large Scale ◽  
Mean Squared Error ◽  
Point Clouds ◽  
Process Data ◽  
Multi Scale ◽  
Digital Elevation ◽  
Real World Datasets ◽  
Aircraft System ◽  
Elevation Model

Abstract. Point clouds acquired by light detection and ranging (lidar) and photogrammetry technology (e.g., structure from motion/multi-view stereo-SfM/MVS) are widely used for various applications such topographic mapping due to their high resolution and accuracy. To generate a digital elevation model (DEM) or extract other features in the data, the ground points and non-ground points usually need to be separated first. This process, called ground filtering, can be tedious and time consuming as it requires substantial manual effort for high quality results. Although many have developed automated ground filtering algorithms, very few have the versatility to process data acquired from different scenes and systems. In this paper, we propose a versatile ground filter based on multi-scale voxelization and smooth segments, named Vo-SmoG. The proposed method introduces a novel voxelization approach, followed by isolated voxel filtering, lowest point filtering, local smooth filtering, and ground clustering. The result of the Vo-SmoG ground filtering is a classified point cloud. The effectiveness and efficiency of our method are demonstrated qualitatively and quantitatively. The quantitative evaluation consists of both point-wise and grid-wise comparisons. The recall, precision, and F1-score are over 97% in terms of classification while the root mean squared error (RMSE) of the DEM is within 0.1 m, which is on par with the reported vertical accuracy of the tested data. We further demonstrate the versatility of the Vo-SmoG via large-scale, real-world datasets collected from different environments with mobile laser scanning, airborne laser scanning, terrestrial laser scanning, uncrewed aircraft system (UAS)-SfM, and UAS-lidar.

HYDROGEOMORPHOLOGICAL MODELING OF KHOR OMAR OMDURMAN - SUDAN BY USING GIS

2020 ◽  
pp. 20-36
Author(s):  
Omar Abd Almajd Sayd AHMMAD ◽  
Alimam omar ALİMAM AİL ◽  
Hussein Salem Hussein SALEM ◽  
Muzamil Elrais Ahmed ALI
Keyword(s):  
Meteorological Data ◽  
Satellite Image ◽  
Curve Number ◽  
Digital Data ◽  
Geographical Information ◽  
Hydrologic Modelling ◽  
Model Soil ◽  
Digital Elevation ◽  
Elevation Model

e study addressed the hydro geomorphological modeling of koher Omar Oum Dorman Area by analyzing many digital data, including satellite Image, and Digital Elevation Model, soil and meteorological data, by using ARC.GIS -WMS - Hydrologic Engineering Center – Hydrologic Modelling System, (HEC-HMS). in order to analyzing geomorphological characteristics and hydro geomorphological, estimation of the amount of runoff and determination of affected areas through Hydro morphometric measurements, determination of soil varieties and land cover to extract Curve number (CN) the study found that the annual surface runoff volume is 21830.5M3 – 33938.1M3 areas affected by runoff are located to the east and south-east of the basin of koher Omar, and the study Reflced Meany recommendetoin, the most important of which is the utilization of water in development processes and the application of Geographical information system in hydro geomorphological studies. Key words: : GIS – RS - Rain off - WMS.

scholarly journals Classification Method and Determination of Mountainous Area Types at Township Scales: A Case Study of Yuxi City, Yunnan Province

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Li Wu ◽  
Binggeng Xie ◽  
Xiao Xiao ◽  
Bing Xue ◽  
Jingzhong Li
Keyword(s):  
Yunnan Province ◽  
Classification Method ◽  
Mountainous Area ◽  
Target Area ◽  
Gis Technology ◽  
Ecological Civilization ◽  
Mountain Area ◽  
Digital Elevation ◽  
Elevation Model ◽  
Land Space

The high-resolution regional division of mountainous area types has important scientific significance for promoting precise management of land space and regional sustainable development. At present, the classification method of mountainous area types is mainly at the county level and above, while classifications for towns and villages are nearly nonexistent, which poses a technical challenge for rural revitalization and the construction of ecological civilization in mountainous areas. We used Yuxi city, Yunnan Province, as the target area of this research, which was based on GIS technology and Digital Elevation Model (DEM) data and socioeconomic environmental monitoring data. The most appropriate statistical unit (e.g., 2.8224 km2) for topographic relief was defined, and the study area was divided into six mountain types: flatlands, hills, low mountains, medium-low mountains, midmountains, and subhigh mountains. Based on the township scale, an index system and classification method dominated by the plain comprehensive index were established to carry out mountain area classifications at township scales. The 75 towns of Yuxi city can be classified into 27 plain towns, 23 mountain-plain towns, and 25 mountain towns from an empirical application perspective, which can provide strong data support and a reference basis for studying the evolution characteristics of land use in different geographical spaces and their interrelationships as well as differentiated land space planning and governance.

scholarly journals A Method for Dynamical Sub-Watershed Delimitating by No-Fill Digital Elevation Model and Defined Precipitation: A Case Study of Wuhan, China

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 486
Author(s):  
Hongping Zhang ◽  
Xinwen Cheng ◽  
Lei Jin ◽  
Dong Zhao ◽  
Tianjing Feng ◽  
...  
Keyword(s):  
Water Level ◽  
Digital Elevation Model ◽  
Flood Control ◽  
Return Periods ◽  
Wuhan City ◽  
Urban Flood ◽  
Digital Elevation ◽  
Elevation Model ◽  
Control Management

Watershed delimitation is very important in flood control management. The traditional sub-watersheds delimitated by a filling digital elevation model (DEM) may change the real sink area, such that it may not be the best choice in studies sensitive to sub-watershed storage. This paper proposes a dynamical watershed delimitation method using a no-fill DEM and precipitation. It considers a closed sink area containing cells that fully flow into a large special cell, which can flow out when its water level is “higher than outlet”. We took Wuhan City as a study area and defined the precipitation in return periods of 1, 5, 20, or 100 years to derive the sub-watersheds. It is found that, in the four delimitations, the ratio of isolated basic units which could not flow outside were 27%, 9%, 5%, and 1%, respectively, as the precipitation increased. The results show that the provided method satisfies the assumption that the sink area might overflow with increased precipitation. The sub-watershed delimitated by the proposed method has higher correlation with the distribution of waterlogging points than those delimitated according to the D8 algorithm. These findings indicate that the proposed method can derive reasonable sub-watershed delimitation and that it may be helpful in the practice of urban flood control management.

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