scholarly journals Flash Flood Monitoring with an Inclined Lidar Installed at a River Bank: Proof of Concept

2016 ◽  
Vol 8 (10) ◽  
pp. 834 ◽  
Author(s):  
Serge Tamari ◽  
Vicente Guerrero-Meza
Keyword(s):  
Flash Flood ◽  
Proof Of Concept ◽  
River Bank ◽  
Flood Monitoring

Street Level Flood Monitoring and Warning System, a conceptual model using IoT: A Case of Surat City

2021 ◽  
Vol 14 (12) ◽  
pp. 55-65
Author(s):  
Anant Patel ◽  
Sanjay Yadav
Keyword(s):  
Developing Countries ◽  
Water Level ◽  
Warning System ◽  
Water Levels ◽  
Mitigation Measures ◽  
Developed Country ◽  
River Bank ◽  
Street Level ◽  
Flood Warning ◽  
Flood Monitoring

Most of the natural disasters are unpredictable, but the most frequent occurring catastrophic event over the globe is flood. Developing countries are severely affected by the floods because of the high frequencies of floods. The developing countries do not have good forecasting system compared to the developed country. The metro cities are also settled near the coast or river bank which are the most vulnerable places to floods. This study proposes plan for street level flood monitoring and warning system for the Surat city, India. Waterlogging happens in the low lying area of the Surat city due to heavy storm and heavy releases from the Ukai dam. The high releases from upstream Ukai dam and heavy rainfall resulted into flooding in the low lying area of the Surat city. This research proposed a wireless water level sensor network system for the street water level flood monitoring. The system is proposed to monitor the water levels of different areas of city through the wireless water level sensors as well as to capture live photos using CCTV camera. This will help authority not only to issue flood warning but also to plan flood mitigation measures and evacuation of people.

scholarly journals Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 502 ◽  
Author(s):  
Sami Salama Hussen Hajjaj ◽  
Mohamed Thariq Hameed Sultan ◽  
Muhammad Hafizuddin Moktar ◽  
Seng Hua Lee
Keyword(s):  
Water Management ◽  
Internet Of Things ◽  
Rural Areas ◽  
Flood Mitigation ◽  
The Internet ◽  
Proof Of Concept ◽  
Flood Monitoring ◽  
Coordination System ◽  
And Control ◽  
The Internet Of Things

In recent years, floods have increased in frequency and intensity, causing tremendous hardship. In badly affected regions, mostly the rural areas, Weir-type floodgates are the only measure against floods. However, these manually operated gates are numerous and scattered over vast areas. This makes flood mitigation efforts very challenging, which causes severe devastation. Current solutions to automate the floodgates are expensive, black-boxed, and focused on individual gates. In this paper, we present a Centralized Flood Monitoring and Coordination System developed through the Internet of Things (IoT) and other open-source technologies. For this work, we developed a working prototype of an autonomous floodgate that opens/closes according to the level of water. We also developed the required program to allow the gate controller to publish its data through the IoT gateway to the cloud. The data was then captured and viewed on a number of IoT clients, both for individuals and groups of floodgates, in real time. The developed system proved successful as the autonomous gates were monitored remotely through the established IoT framework, with room for future development and improvement. This paper serves as a proof of concept and a preparation for real, on-site implementation of the IoT-floodgates.

scholarly journals The concept of Arduino based on Wireless communications for flood warning system

2018 ◽  
Vol 7 (3.7) ◽  
pp. 58
Author(s):  
Mahanijah Md Kamal ◽  
Aqil Muhammad Sabri
Keyword(s):  
Wireless Communication ◽  
Warning System ◽  
Base Station ◽  
Water Levels ◽  
River Bank ◽  
Affected Area ◽  
Flood Warning ◽  
Flood Monitoring ◽  
Local Residents ◽  
Flood Warning System

Wireless communication for flood monitoring is developed to observe the status of flooding which could alert people who were in the area when it happens. Flood is a very common problem that Malaysian faced every year caused by the change of climate and also due to urbanization. These floods can cause a lot of damages and can even endanger to human lives. The flooding can be caused by the overflowing of rivers or drains in the affected area. Problems in rural areas near the river bank, not all equipped with flood warning system. Flood warning system is usually found in the main streets with limited warning distance. Therefore, it is necessary to put a wireless communication system that can detect the rising water levels during flooding and also gives warn the local residents especially those who live along the river banks. This system can be used as flood monitoring tool as well as for evacuation during save and rescue operation. The purpose of this paper is to propose a wireless communication based on Arduino system that can help the local residents by detecting the water levels and give an early warning when a flood occurs. Basically, there are two part of the system which are the sensor node and the base station that can generate warning signal during flooding to the affected area. 

Flash flood simulation using unit hydrograph and hydrodynamic models (case study of Western Caucasus, Russia)

2020 ◽  
Author(s):  
Pelagiya Belyakova ◽  
Ekaterina Vasil'eva ◽  
Andrey Aleksyuk ◽  
Vitaly Belikov ◽  
Boris Gartsman ◽  
...  
Keyword(s):  
Shallow Water ◽  
Monitoring System ◽  
Input Data ◽  
Flash Flood ◽  
Rainfall Runoff ◽  
Western Caucasus ◽  
Unit Hydrograph ◽  
Runoff Simulation ◽  
Flood Simulation ◽  
Flood Monitoring

<p>In the Russian part of Western Caucasus heavy rainfall episodes frequently occur, leading to flash floods that often cause fatalities and severe damage. As soon as climate change is expected to increase the risk of flash floods it is necessary to improve flood forecasting and flood risk mapping as well as other precautionary measures. For this scope the better knowledge of catchment response on heavy precipitation is needed using rainfall-runoff simulation and further hydrodynamic modelling of inundation of urbanized areas.</p><p>There is a number of models used for flash flood simulation. In this study we used an available unit hydrograph model KW-GIUH [1] and a hydrodynamic model STREAM 2D CUDA [2]. KW-GIUH model only schematically describes overland flow over the catchment, nonlinear character of response is introduced via kinematic-wave approximation of the travel time. STREAM 2D CUDA is based on numerical solution of shallow water equations in a two-dimensional formulation according to the original algorithm using the exact solution of the Riemann problem [2], due to which the calculation is performed for the entire catchment without special allocation of the channel network. Models were tested on several flash flood events on the river Adagum (6-7 July 2012, catastrophic flood in the Krymsk town) and the Zapadny Dagomys river (25 June 2015, 24-25 October 2018, Sochi).</p><p>Comparison of simulation results was done as the same input data set was used. Input data included DEM HydroSHEDS, measured hourly precipitation and runoff volumes observed on gauges and estimated after high-water marks. Also 10-min water levels from a regional automated flood monitoring system of the Krasnodar Territory were applied. Simulated runoff volumes and peak timing were analyzed. For the Zapadny Dagomys river a forecasting calculation was done using precipitation forecast from COSMO-Ru. For the Adagum river STREAM 2D CUDA allowed to conduct an experiment to assess possible effect from potential reservoir-traps in the tributaries. The results of the rainfall-runoff simulation by the KW-GIUH model can be used as inflow to the boundary of the area for hydrodynamic modeling using STREAM 2D CUDA, also for operational use. Scenario calculations with changing hydraulic conditions at the catchment can be simulated using the STREAM 2D CUDA model itself.</p><p>The flood simulation was supported by the Russian Science Foundation under grant №17-77-30006. Data processing from an automated flood monitoring system in the Krasnodar Territory is funded by Russian Foundation for Basic Research and the Krasnodar Territory, grant № 19-45-233007.</p><p>References:</p><ol><li>Lee K.T., Cheng N.K., Gartsman B.I., Bugayets A.N. (2009): A current version of the model of a unit hydrograph and its use in Taiwan and Russia, Geography and Natural Resources, Volume 30, issue 1, pp. 79–85. https://doi.org/10.1016/j.gnr.2009.03.015</li> <li>Aleksyuk A.I., Belikov V.V. (2017): Simulation of shallow water flows with shoaling areas and bottom discontinuities, Computational Mathematics and Mathematical Physics, Volume 57, issue 2, pp. 318–339. https://doi.org/10.1134/S0965542517020026</li> </ol>

Unseen Corner of the Conservation Efforts: Safeguarding Life and Livelihoods (A Case from Dhanusha District)

1970 ◽  
Vol 2 (1) ◽  
pp. 104-108
Author(s):  
Shiva Shankar Neupane
Keyword(s):  
Soil Erosion ◽  
Financial Support ◽  
Land Reclamation ◽  
Flash Flood ◽  
The Other ◽  
Large Area ◽  
River Bank ◽  
Root Cause ◽  
Bio Engineering ◽  
Flood Diversion

The major environmental problems in Nepal are caused by land degradation, deforestation and pollution. Poverty is the root cause of environmental degradation. The Mahadev Math, one of the settlements of Hariharpur VDC-1, Dhanusha lies at the western bank of the Jaladh river, has seriously been affected due to annual flash flood from Jaladh river and subsequent soil erosion. About 5.35 hectares of degraded farmlands has been reclaimed in the bank of the Jaladh river with applying bio-engineering methods for flood diversion and gulley treatments. It can be concluded that it is possible to reclaim the large area of the degraded and /or eroded land for safeguarding their lives and livelihoods even with the active participation of the local people and their subsequent contributions by way of using small financial support from the other external donors/ organizations. Key Words: River bank conservation, Land reclamation, Bio-engineering, Safeguarding life and livelihoods DOI: 10.3126/init.v2i1.2530 The Initiation Vol.2(1) 2008 pp104-108

scholarly journals IDENTIFICATION OF TEMPORARY SURFACE WATER USING SENTINEL-1 SAR DATA, CASE STUDY: SENTANI FLASH FLOODING, INDONESIA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 55-59
Author(s):  
T. A. Gasica ◽  
F. Bioresita ◽  
A. Murtiyoso
Keyword(s):  
Surface Water ◽  
Large Scale ◽  
Flash Flood ◽  
Remote Sensing Data ◽  
Mapping Method ◽  
Flash Flooding ◽  
Rapid Mapping ◽  
Flood Monitoring ◽  
Spatio Temporal ◽  
Sar Imagery

Abstract. Temporary surface water monitoring can provide accurate and reliable information about the spatio-temporal level of surface water. This is very important for various environmental applications, such as flood monitoring. Remote sensing data such as Synthetic Aperture Radar (SAR) is very useful for a large-scale flood monitoring. SAR sensors offer clear advantages by providing their own sources of illumination, thus being able to operate in nearly all-weather/day-night conditions. About 30% disasters which occurred in Indonesia are floods. This hazard has become a recurring disaster that takes place annually. A massive flash flood struck Sentani in the Jayapura Regency in the province of Papua, Indonesia on 16 March 2019, causing 104 deaths. The objective of this work is thus to map temporary surface water (flood) of the Sentani flash flooding event in Indonesia using Sentinel-1 SAR imagery. Sentinel-1 IW GRD and SLC (dual polarimetry) on the event period were used. With two types of Sentinel-1 data, this research produced temporary surface water map using rapid mapping method and SAR polarimetry method. Comparing the results, the similarity of SAR polarimetry method to rapid mapping method is about 39%. Based on reference data, rapid mapping result show better accuracy (82%) than SAR polarimetry method (62%). In addition, processing SLC data needs longer time and higher performance than processing GRD data. Thus, for rapid mapping, it is better to use only Sentinel-1 GRD data.

Sign in / Sign up

Export Citation Format

Share Document