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Community-based early warning systems (CBEWS) is a " people-centered " system and empowers individuals and communities threatened by hazards to act on sufficient time and in an appropriate manner to reduce the possibility of personal injury, loss of life, damage to property, environment and loss of livelihood. These things lead to the development of the device necessary for the protection of the community against flood hazards as it allows people to get prepared with sufficient time. An alarm system was developed to monitor the water level on Salog River that overflows during heavy rains. The water level sensors were submerged in a canal of water to test the functionality of the device before its installation. Computer programs were created to enhance the monitoring of water level: the River Monitor Software and the Water Level Monitor. The LED arrays emit light according to water level; green for low, orange for medium, and red for high. A siren also alarms with different intervals (30 seconds for low, 15 seconds for medium, and a continuous alarm for high). Automatic emergency lighting was integrated in the design and lights up during power outages powered by rechargeable sealed battery that charges when ac power is supplied to the device. Levels were established based on available data; low water level means awareness; medium water level means preparedness and high water level means immediate response is necessary.
International Journal of Electrical and Computer Engineering (IJECE), 2019
The early warning systems for flood management have been developed rapidly with the growth of technologies. These system help to alert people early with the used of Short Message Service (SMS) via Global System for Mobile Communications (GSM). This paper presents a simple, portable and low cost of early warning system using Arduino board, which is used to control the whole system and GSM shields to send the data. System has been designed and implemented based on two components which is hardware and software. The model determines the water level using float switch sensors, then it analyzes the collected data and determine the type of danger present. The detected level is translated into an alert message and sent to the user. The GSM network is used to connect the overall system units via SMS. 1. INTRODUCTION Flood is commonly occured natural disaster around the world. It will cause unsafely manner to human by causing death, injury, damages and great property losses. In Malaysia, flood is considered as norm disaster that happen escpecially during monsoon season at the end of the year. As Malaysia located near the equator, the most worst climatic related natural disasters are monsoonal flood. Communities living around the low-laying area are facing high risk of losses caused by flooding. This natural disaster is inevitable but with advance warning system and early response, the destruction can be minimized. Forecasting and warning systems is one of the methods that could significantly mitigate the impact of losses. Alerting or warning to notify the public about the upcoming disaster in the early stages is very important as safety measures can be taken to prevent unwanted mishaps. The early warning system must be able to provide timely warning of imminent dangers, which gives the local authorities time to prepare for effective response. There is a lack of concern in the substantial of an early warning system eventhough the technologies are widely available. Warning might fail to reach the local authorities and sometimes it may not be understood due to ineffective or unsuitable alert tools of communication channels. However, with the advance of technologies produce simple and low cost tools that can be used to solve such problems. This paper focuses on flood disaster monitoring system to help local authority to provide more systematic solution. The designed system can detect the floods and give continuous alert or information. The information of water level can be detected by the sensors. The goal of the system is to alert the community, so that safety precautions can be taken to protect their life and properties. The developed system utilizes GSM and SMS to transmit data from sensors to the respective users through their mobile phone. By using GSM module, GSM network can be used since it is much more accountable during flood season. An Arduino UNO
From a national economic viewpoint, floods, both riverine and coastal, are the most destructive category of natural hazards in India. The economic losses to homes and personal property, to crops, business facilities and stock , utilities are major manifestations of flood losses. India is highly vulnerable to floods. in that scenario there is a urgent requirement for development and installation of enhanced flood forecasting sites in various commonly flooding regions . In this paper, we describe the design and implementation of a sensor-based embedded system for flood management. The project is mainly concerned on how the data of the flood is being used and analyzed for future forecasting. The Embedded system acquires many types of electronic devices such as GSM, Level sensor and many other to be deployed at remote locations, wherever mobile network is available. Collection of data occurs at user defined intervals of time and is to uploaded to the database .the information acquired into the database can then be easily viewed from anywhere , used for further analysis . The system is being designed on MATLAB Software for the ease of analysis.
The main important thing that occurs after and along with the disaster is information dissemination. One such disaster is flood, in this paper we make use of IOT internet to thing allows the use of devices that help the people to take the decision during such disaster. In this paper, sensor is used to measure the water level in river streams and lakes. Micro model is designed and constructed with sensor to measure experimentally the water container in controlled environment. The Micro model is programmable electronic board connected to electrical resistances that are placed at particular height within the water container. When the water rises and reaches the resistor, the impedance will vary that shows the different height of water level. Thereby the sensor transmits the information through the WiFi to Computer and also be seen in smart phones. From this users can see the water level in the river. At last micro model is examined under manipulated environment and acceptable results are obtained.
International Journal of Physical Sciences, 2020
Senate Report recorded last 2013 show that tropical storms and floods are the principal disasters with 102 and 72 occurrences, respectively. Distinctly, flood is still one of the biggest problems of the country. Statistics shows that 31.9% of the natural disasters, which occur in the Philippines in the years 1990-2014, are attributed to flood related episodes with a mortality rate of 5.9%. The researchers seek to approach non-structural measures to mitigate flooding problems of the country, specifically creating flood warning systems and to conduct several experiments testing the effectivity and efficiency of the flood warning system. This paper also aims to confront the century long problem of flooding and address the lack of real time flood warning system, thus reducing the loss of lives and damage to property; and to determine the effectiveness of the design of the river warning system in giving real time river water level updates. Results show that it works better if in contact with river waters than tap water. The device is audible in all distances at average ambient sound level of 50 to 60 decibels. Hence, the device is efficient in giving off sound alarms when deployed in different river systems.
In most developing countries, flood monitoring and early warning systems are critical due to the devastating effects of flooding on lives and properties. Unfortunately, in developing countries a vast majority of citizens living in high risk flood zones do not have any flood monitoring/early warning system and in the eventuality of a flood, lives, properties and means of livelihood are greatly affected. This paper therefore proposes the development of a low cost, community based, real time flood monitoring and early warning system. A prototype was implemented to validate the proposed flood monitoring and early warning system using low cost of the shelf components. The proposed system employs the use of low cost Arduino Uno microcontrollers and other low cost devices to detect potential flood and alert the community in real time. Results obtained shows that the proposed system is robust and effective for flood monitoring and early warning.
ABDIMAS: Jurnal Pengabdian Masyarakat, 2022
In 2020 a number of areas in DKI Jakarta were hit by floods, one of which was the North Tanjung Duren Village, Grogol Petamburan District, West Jakarta. The extreme rainfall of 377 mm/day has flooded almost all areas of DKI Jakarta and its surroundings. In addition, poor drainage causes water to stagnate, causing flooding. However, the absence of an early flood information system makes residents restless when the rainy season arrives. The Community Service (Community service activity) activity carried out aims to provide training to the community in the Tanjung Duren Utara Village area RW 04, RT 0010 regarding water level detection equipment placed in culverts. This tool serves to provide early information if the volume of water in the culvert is full of information in the form of a siren sound. The method used in this Community service activity activity is to provide online counseling and training to the community in RT 0010 / RW 04, North Tanjung Duren Village, Grogol Petamburan D...
The Restless River. 2021. World Bank, Washington, DC, Edited by: Ganesh Pangare, Bushra Nishat, Xiawei Liao, Halla Maher Qaddumi
This book tells a fascinating story of one of the world's longest and diverse river systems. It combines beautiful illustrations and a narrative based on good science and the ability to tell a complex story which should be of interest to a wide public".
Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia, 2020
Warning early detection of flood hazards and safety systems are needed to minimize losses of property and people. This study aims to design the building of an early flood detection system in a dam based on the water level in the dam and be integrated with its security system so that no one steals the system installed in the dam area. In this study two sensors are used, namely ultrasonic sensors to detect water levels and passive infrared (PIR) sensors as a safety detection system using Arduino Uno microcontroller. Measurement of water level based on the status of "standby (Siaga)" at Katulampa dam on a scale of 1:10. The test results at a water level of 6-23 cm have an average difference of 0.992% compared with water level information displayed via the LCD. The standby status sent via SMS to the user phone. PIR sensor test results on the maximum distance at 2.5 m. If the status in the system is "Siaga", the system will call the registered user by phones. Based on the test results, the flood detection system and its security system were successfully implemented according to the initial scenario.
Floods are a constant threat throughout the year in areas such as the United States and Puerto Rico. Although different methods of alerts are available; Such as an emergency broadcast system or a siren, neither of which can alert a user remotely in an efficient and timely manner. The design goal of this project is to provide a real-time system capable of monitoring sudden floods in dam lots, addressing concerns of water damage in vehicles; creating a personal opt-in alert that can reach the end user through their mobile phone. In this case, the system defines two types of nodes: sensing and sync. Each sensing node uses a hydrostatic pressure sensor to monitor the water level; It will then communicate with neighboring nodes via XBee radio. The data reaches the sink node. The sink node is then responsible for sending the data received from the sensor to the remote server via the mobile communication network (GSM). By then the database of users and flood levels will be processed and processed by the server, which will send an email alert to users that will reach any mobile phone in the form of a text message (SMS). Under such a scenario, the use of exclusively freshwater resource water by agriculture would be very high and according to current market surveys it is estimated that agriculture uses 85% of the freshwater resources available worldwide, and this percentage of Due to this, population growth and food demand will remain predominant. It calls for planning and strategy to use water wisely using advances in science and technology. There are many systems for achieving water savings in various crops, ranging from basic to more technologically advanced. One of the existing systems uses thermal imaging to monitor plant water conditions and irrigation scheduling. Automation of the irrigation system is also possible by measuring water levels in the soil and by control actuators to irrigate when needed, rather than predetermining irrigation time, thus saving and using water in a more sensible way. When the volume of the substrate's volumetric water decreases below a set point, an irrigation controller is used to open solenoid valves and apply water to bed plants (Impetance, Petunia, Salvia, and Vinca Roja) goes. Emerging Global Water Crisis: Apart from managing scatter and conflict among water users, available fresh water is further contaminated by human and animal populations and pollution levels have increased at an alarming rate. If this continues, food production will be limited which in turn will affect human productivity and thus the entire ecosystem in the coming years. The primary and most important cause of this problem is the tremendous growth in population that has grown at a rate that is faster than the rate of food production. This population growth is especially in water scarcity countries Its growth will directly impact on the world map. Food production must be increased by at least 50% for projected population growth.
For several thousand years, human population has experienced the catastrophes brought by the natural disasters. Since the disasters occur without any prior warning to people, there is no enough time to evacuate the area of disaster. Even though the disasters are suddenly occurring, it is possible to predict the occurrence of some of them. Flood is one these disasters. It is one of the most commonly occurring natural disasters in the world and accounts for the highest loss that it brings to humanity. In this paper, we present a system which we designed to provide alert using short message system before flood. The system is also designed to store the history of water level in its database. The database is present on a centralized server which does all the jobs from data collection to sending message before flood.
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