Model Reliability Assessment: A Hydrodynamic Modeling Approach for Flood Simulation in Damansara Catchment Using InfoWorks RS

2011 ◽  
Vol 250-253 ◽  
pp. 3769-3775 ◽  
Author(s):  
Awang Nasrizal Awang Ali ◽  
Junaidah Ariffin
Keyword(s):  
Reliability Assessment ◽  
Flood Inundation ◽  
Event Data ◽  
Flood Simulation ◽  
Hydrodynamic Approach ◽  
Digital Elevation ◽  
Flooding Event ◽  
Model Reliability ◽  
Elevation Model ◽  
River Cross Section

This paper presents the flood inundation model using a hydrodynamic approach for flood simulation. A Digital Elevation Model (DEM) for Damansara Catchment was developed and integrated into the InfoWorks River Simulation (RS) program. Hydrographic surveying activity was carried out to collect existing Damansara River cross-section. The 3D flood model was calibrated using the 26th February 2006 and 15th October 2008 flooding event data. The model was validated using the flooding event on 21st March 2007. This computer simulation results produced hydrograph that indicates the capability of the model in dealing with regional flood analysis for future usage in designing structural flood measures.

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.

scholarly journals Flooding Model as the Analysis of the Sea Level Increase as a Result of Global Warming in Coastal Area in Lampung

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Agung Kurniawan
Keyword(s):  
Global Warming ◽  
Sea Level ◽  
Shuttle Radar Topography Mission ◽  
Sea Surface ◽  
Gis Mapping ◽  
Flood Inundation ◽  
Mapping Software ◽  
Level Increase ◽  
Digital Elevation ◽  
Elevation Model

The melting of ice layers, as a direct impact on global warming, is indicated from a lesser thickness of ice layers is specifically causing an increase on the sea level. Lampung, as a province that has an ecosistem of regional coast, can be estimated to submerge. Flood modelling can be done to know the estimated flood range. The model of the flooded region is taken from Shuttle Radar Topography Mission(SRTM) data, which is nomalized to get the visualisation of Digital Elevation Model (DEM). The purpose of this research is to know the estimated region of provincial coast of Lampung that is going to be flooded because of the raising of sea surface. This research uses flood inundation technique that uses one of the GIS mapping software. The result can be used as consideration to achieve policy in the building of regional coast. The regions that are flooded based on the scenario of the raising of two and three meter surface sea level are East Lampung Regency, West Lampung Regency, South Lampung Regency, Tanggamus Regency, Pesawaran Regency, and Bandar Lampung.

scholarly journals The Importance of Digital Elevation Model Selection in Flood Simulation and a Proposed Method to Reduce DEM Errors: A Case Study in Shanghai

2021 ◽  
Author(s):  
Kepeng Xu ◽  
Jiayi Fang ◽  
Yongqiang Fang ◽  
Qinke Sun ◽  
Chengbo Wu ◽  
...  
Keyword(s):  
Open Access ◽  
Critical Role ◽  
Flood Management ◽  
Hydraulic Modeling ◽  
Flood Mapping ◽  
Flood Inundation ◽  
Flood Simulation ◽  
Urban Flood ◽  
Digital Elevation ◽  
Flood Inundation Mapping

AbstractDigital Elevation Models (DEMs) play a critical role in hydrologic and hydraulic modeling. Flood inundation mapping is highly dependent on the accuracy of DEMs. Various vertical differences exist among open access DEMs as they use various observation satellites and algorithms. The problem is particularly acute in small, flat coastal cities. Thus, it is necessary to assess the differences of the input of DEMs in flood simulation and to reduce anomalous errors of DEMs. In this study, we first conducted urban flood simulation in the Huangpu River Basin in Shanghai by using the LISFLOOD-FP hydrodynamic model and six open-access DEMs (SRTM, MERIT, CoastalDEM, GDEM, NASADEM, and AW3D30), and analyzed the differences in the results of the flood inundation simulations. Then, we processed the DEMs by using two statistically based methods and compared the results with those using the original DEMs. The results show that: (1) the flood inundation mappings using the six original DEMs are significantly different under the same simulation conditions—this indicates that only using a single DEM dataset may lead to bias of flood mapping and is not adequate for high confidence analysis of exposure and flood management; and (2) the accuracy of a DEM corrected by the Dixon criterion for predicting inundation extent is improved, in addition to reducing errors in extreme water depths—this indicates that the corrected datasets have some performance improvement in the accuracy of flood simulation. A freely available, accurate, high-resolution DEM is needed to support robust flood mapping. Flood-related researchers, practitioners, and other stakeholders should pay attention to the uncertainty caused by DEM quality.

scholarly journals Flood Inundation Modeling Using Geomorphic Approaches, UAV, and GIS

2020 ◽  
Vol 4 (1) ◽  
pp. 335-342
Author(s):  
Dhoni Wicaksono ◽  
Lufti Gita Iriani ◽  
Hendy Fatchurohman ◽  
Taufik Hery Purwanto ◽  
Dwi Setyo Aji ◽  
...  
Keyword(s):  
Aerial Photographs ◽  
Mitigation Measures ◽  
Flood Inundation ◽  
Digital Elevation ◽  
Aerial Vehicle ◽  
The Indian Ocean ◽  
Elevation Model ◽  
Flood Inundation Modeling ◽  
Inundation Modeling ◽  
Special Region

Flood is one of the most frequently occurring natural disasters in Indonesia. At the end of 2017, Tropical Cyclones Cempaka and Dahlia formed over the Indian Ocean, inducing extreme rains and floods in some parts of Java Island. The Special Region of Yogyakarta was among the most affected areas, especially along the Oyo River section in Imogiri District. This research was designed to identify and map the flood-prone areas in the district as part of flood mitigation measures. For this purpose, The Unmanned Aerial Vehicle (UAV) technology was used to not only provide a detailed and up-to-date description but also produce aerial photographs (orthoimages) and Digital Elevation Model (DEM). These two products were inputted to the inundation modeling developed with a geomorphic approach and simulated in a Geographic Information System (GIS). In terms of accuracy, the resulting models were quite reliable for mapping on a detailed scale and only slightly deviated from the traced inundation in the field. Also, five areas (sub-village) were found with the highest vulnerability to floods, namely, Trukan, Butuh, Dogongan, Siluk Satu, and Kedung Miri.

scholarly journals Sliding Windows Method Based on Terrain Self-Similarity for Higher DEM Resolution in Flood Simulating Modeling

2021 ◽  
Vol 13 (18) ◽  
pp. 3604
Author(s):  
Qian Yin ◽  
Ziyi Chen ◽  
Xin Zheng ◽  
Yingjun Xu ◽  
Tianxue Liu
Keyword(s):  
High Resolution ◽  
Earth Science ◽  
Small Scale ◽  
Self Similarity ◽  
Flood Simulation ◽  
Sliding Windows ◽  
Practical Applications ◽  
Digital Elevation ◽  
Elevation Model ◽  
Matching Window

A digital elevation model (DEM) is a quantitative representation of terrain and an important tool for Earth science and hydrological applications. A high-resolution DEM provides accurate basic Geodata and plays a crucial role in related scientific research and practical applications. However, in reality, high-resolution DEMs are often difficult to obtain. Due to the self-similarity present within terrains, we proposed a method using the original DEM itself as a sample to expand the DEM using sliding windows method (SWM) and generate a higher resolution DEM. The main processes of SWM include downsampling the original DEM and constructing mapping sets, searching for the optimal matching, window replacement. Then, we repeat these processes with the small-scale expansion factor. In this paper, the grid resolution of the Taitou Basin was expanded from 30 to 10 m. Overall, the superresolution reconstruction results showed that the method could achieve better outcomes than other commonly used techniques and exhibited a slight deviation (root mean square error (RMSE) = 3.38) from the realistic DEM. The generated high-resolution DEM prove to be significant in the application of flood simulation modeling.

scholarly journals Hydrological and hydraulic models for determination of flood-prone and flood inundation areas

2016 ◽  
Vol 373 ◽  
pp. 137-141 ◽  
Author(s):  
Hafzullah Aksoy ◽  
Veysel Sadan Ozgur Kirca ◽  
Halil Ibrahim Burgan ◽  
Dorukhan Kellecioglu
Keyword(s):  
Cross Sections ◽  
Urban Areas ◽  
Work Load ◽  
Hydraulic Model ◽  
Flood Inundation ◽  
Detailed Data ◽  
Wetness Index ◽  
Digital Elevation ◽  
Elevation Model ◽  
Flood Prone Areas

Abstract. Geographic Information Systems (GIS) are widely used in most studies on water resources. Especially, when the topography and geomorphology of study area are considered, GIS can ease the work load. Detailed data should be used in this kind of studies. Because of, either the complication of the models or the requirement of highly detailed data, model outputs can be obtained fast only with a good optimization. The aim in this study, firstly, is to determine flood-prone areas in a watershed by using a hydrological model considering two wetness indexes; the topographical wetness index, and the SAGA (System for Automated Geoscientific Analyses) wetness index. The wetness indexes were obtained in the Quantum GIS (QGIS) software by using the Digital Elevation Model of the study area. Flood-prone areas are determined by considering the wetness index maps of the watershed. As the second stage of this study, a hydraulic model, HEC-RAS, was executed to determine flood inundation areas under different return period-flood events. River network cross-sections required for this study were derived from highly detailed digital elevation models by QGIS. Also river hydraulic parameters were used in the hydraulic model. Modelling technology used in this study is made of freely available open source softwares. Based on case studies performed on watersheds in Turkey, it is concluded that results of such studies can be used for taking precaution measures against life and monetary losses due to floods in urban areas particularly.

scholarly journals Improving remote sensing flood assessment using volunteered geographical data

2013 ◽  
Vol 13 (3) ◽  
pp. 669-677 ◽  
Author(s):  
E. Schnebele ◽  
G. Cervone
Keyword(s):  
Remote Sensing ◽  
Flood Hazard ◽  
Hazard Maps ◽  
Geographical Data ◽  
Machine Learning Classification ◽  
Digital Elevation ◽  
Flooding Event ◽  
Elevation Model ◽  
Flooded Areas

Abstract. A new methodology for the generation of flood hazard maps is presented fusing remote sensing and volunteered geographical data. Water pixels are identified utilizing a machine learning classification of two Landsat remote sensing scenes, acquired before and during the flooding event as well as a digital elevation model paired with river gage data. A statistical model computes the probability of flooded areas as a function of the number of adjacent pixels classified as water. Volunteered data obtained through Google news, videos and photos are added to modify the contour regions. It is shown that even a small amount of volunteered ground data can dramatically improve results.

scholarly journals Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model

Hydrology ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 65
Author(s):  
Anson Hu ◽  
Ibrahim Demir
Keyword(s):  
Flood Mapping ◽  
Flood Inundation ◽  
Inundation Maps ◽  
Hand Model ◽  
Digital Elevation ◽  
Insurance Rate ◽  
Elevation Model ◽  
Client Side ◽  
High Degree ◽  
The City

The height above nearest drainage (HAND) model is frequently used to calculate properties of the soil and predict flood inundation extents. HAND is extremely useful due to its lack of reliance on prior data, as only the digital elevation model (DEM) is needed. It is close to optimal, running in linear or linearithmic time in the number of cells depending on the values of the heights. It can predict watersheds and flood extent to a high degree of accuracy. We applied a client-side HAND model on the web to determine extent of flood inundation in several flood prone areas in Iowa, including the city of Cedar Rapids and Ames. We demonstrated that the HAND model was able to achieve inundation maps comparable to advanced hydrodynamic models (i.e., Federal Emergency Management Agency approved flood insurance rate maps) in Iowa, and would be helpful in the absence of detailed hydrological data. The HAND model is applicable in situations where a combination of accuracy and short runtime are needed, for example, in interactive flood mapping and supporting mitigation decisions, where users can add features to the landscape and see the predicted inundation.

scholarly journals Pemanfaatan Teknologi Light Detection And Ranging (Lidar) Dalam Pemodelan Banjir Akibat Luapan Air Sungai

2017 ◽  
Author(s):  
nur asriyah ◽  
Agung Budi Harto ◽  
Ketut Wikantika
Keyword(s):  
Hydrodynamic Model ◽  
Three Dimensional ◽  
Disaster Mitigation ◽  
Flood Inundation ◽  
Dem Simulation ◽  
Digital Elevation ◽  
Elevation Data ◽  
Lidar Dem ◽  
Inundation Map ◽  
Elevation Model

AbstrakPenelitian ini bertujuan untuk membuat model genangan banjir akibat luapan air sungai Cikapundung dari data DEM hasil pengukuran teknologi LIDAR untuk menunjukkan kawa- san berpotensi banjir sehingga dapat membantu dalam upaya mitigasi bencana banjir.Ana- lisis pemodelan banjir memerlukan data topografi yang akurat untuk mendukung kualitas hasil pemodelan banjir. Saat ini, LIDAR merupakan teknologi penginderaan jauh terbaik yang digunakan untuk membuat relief permukaan bumi dalam bentuk tiga dimensi yang di- mana sering disebut sebagai DEM (Digital Elevation Model). Tugas akhir ini membahas tentang pemanfaatan teknologi LIDAR dalam analisis genangan banjir akibat luapan sungai berdasarkan simulasi model hidrodinamik. Pemetaan genangan banjir berdasarkan simulasi model hidrodinamik dapat memberikan gambaran yang cukup baik mengenai daerah-daerah di sekitar sungai yang berpotensi tergenang banjir. Hasil pemetaan genangan banjir dalam penelitian ini sangat bermanfaat untuk upaya mitigasi bencana banjir pada daerah studi.Kata kunci: LIDAR, DEM, Simulasi model hidrodinamik. AbstractThe purpose of this thesis is to create a model of flooding caused by flood waters of Cika- pundung River from DEM data of LIDAR technology measurement to show potential flood areas so that it can assist in mitigation of flood disaster.Flood analysis requires accurate topographic data to obtain a good overview of flood inundation. At this time, LIDAR is the best technology of remote sensing for collecting elevation data from earth surface. This ele- vation data can be used to create relief of the earth’s surface in three-dimensional format which is often referred to as a DEM. This undergraduate thesis dealt with the utilization of LIDAR technology in analysis of flood inundation due to overflowing river based on simu- lation of hydrodynamic model. The flood inundation map based on simulation of hydrody- namic model can show the potential flood areas around the river pretty good. The result of flood inundation map in this thesis can be used for flood disaster mitigation on study area.Keywords: LIDAR, DEM, Simulation of hydrodynamic model.

Sign in / Sign up

Export Citation Format

Share Document