HYDROLOGICAL MODEL FORFLASH FLOOD PREDICTION ANDFLOOD LEVEL MONITORING INRESERVOIR USING WEB SERVER

S.Dhamodaran,G.Rajasekhar Reddy,Pranay Cheetirala, Dr.M.LakshmiAssistantProfessor,UG Student,

UG Student,ProfessorComputerScience And Engineering,

SathyabamaInstitute Of Science and Technology,Chennai.

s.dhamodaran07@gmail.com,rajasekharchanti5599@gmail.com,

pranaycheetirala@gmail.com,laks@icadsindia.com ,

May 22, 2018

Abstract

In the past few years the most unpredictable phenom-ena is flash flood. Most of the countries have suffered in theflash flood and people lost their precious things, residenceand lost their valuable relations too. The occurrence of flashflood is because of heavy rainfall, unpredictable weatherstages, blocked drainage systems, garbage in the reservoir,tank, unequal slope conditions, climate changes, etc [3]. Thehydrological model is used to analyse and predict the spatialand temporal model, Spatial mapping across the flood areas,finding the flood inundation in the study area. Most of the

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International Journal of Pure and Applied MathematicsVolume 118 No. 24 2018ISSN: 1314-3395 (on-line version)url: http://www.acadpubl.eu/hub/Special Issue http://www.acadpubl.eu/hub/

existing algorithm predicts the flood through the analysis ofprevious year data sets stored in the databases. The mainmotive of this paper is to predict the flash flood and classifythe flood level as lower level, middle level or high level. Theflood level can be monitored in the reservoir area using sen-sors and Zigbee technology [5]. The predicted output canbe delivered using the IOT technology.

Key Words:Flood, IOT, Rainfall, Wireless.

1 Introduction

The Major technology concept implement in the paper is how toprotect peoples in flood using zigbee( i.e without net) and withwireless network communication(WSN). Our advancement in tech-nology is not reflected when we are going back to a third worldcountry fighting natural disasters often. We have considered adyarriver as our field of study and we consider the problem of FlashFlood. Flash Flood occurs when the river water level rises rapidlywithin a short period of time (often within 2 hours water level canrise as high as few meters) mainly caused by sudden heavy rain-fall in locality. It is a major problem in many different countrieslike Indonesia, China, Nepal, Malaysia, Philippines and many othercountries. There have been arrays of research studies that considerwater level sensing, monitoring and /or prediction and offer validsystem support for deployment of such system.

E. A. Bashar et al. have worked on water monitoring systemdeployed at Honduras, a river in Massachusetts using a predictivesensor environment; Ivan Stonianov et al. used sensor network tomonitor Boston Sewer Commission Data, JiraponSunkpho et al.uses real time flood monitoring system deployed at Thammarat aSouthern province of Thailand; Danny Hughes et al. uses sensorbased system to study flood monitoring system on the River Ribblein North West England. The major difference lies in the problemscopes. In the cases of previously conducted studies a single riverand river bank is studied. When the geographic location is closelysituated a light weight solution like wireless sensor network basedarchitecture can be an excellent solution as we have seen in manyexisting systems. In Bangladesh, however, we have a network ofrivers that contribute to the flash flood problem[2].

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VinaySachidananda et al have worked on Wireless Sensor Net-works (WSNs) the operating conditions and/or user requirementsare often desired to be evolvable, whether driven by changes of themonitored parameters or WSN properties of configuration, struc-ture, communication capacities, node density, and energy amongmany others. While considering evolvability, delivering the requiredinformation with the specified quality (accuracy, timeliness, relia-bility etc) defined by the user constitutes a key objective of WSNs.Most existing research efforts handle fluctuations of operation con-ditions in order to deliver information with the highest possiblespecified quality. In this paper, we take these aspects into consid-eration and survey existing work on Quality of Information (QoI).As a contribution, we categorize WSN information into a set ofabstract classes for generality across varied application types. Oursurvey shows that currently QoI is usually addressed in isolationby focusing on discrete data processing operations/building blockssuch as raw data collection, in-network processing (compression,aggregation),information transport and sink operations for deci-sion making. This survey comprehensively explains the differentviews of QoI on attributes, metrics and WSN functional operationsmapped with existing approaches. The survey also forms the basisfor specifying needed QoI research issues.

2 ARCHTECTURE OF WSN NETWORK

Wireless Sensor Network can be identified the node network in num-ber of the nodes form in the cluster model and all the clusters areconnected in the network .Each cluster node have the sensor,likewater level sensor, precipitation sensor,humitity sensor, rainfall sen-sor etc. In each node sensor are connected to the protocol /IEEE802.15.4 ,the operation of zigbee to connect the WSN network node.

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Figure 1 : Architecture of Wireless Sensor Network With CurrentScenerio

Zigbee is connected in the watershed for immediate communi-cation of water & its flow level to communicate with the regionalserver where another Zigbee is connected. Public can communi-cate to the regional server to fetch the levels of water release &emergency alert is provided in case of excess water release fromthe Watershed . This event will happen with Network presence orwithout network presence. User can also make Emergency call /send SMS to the prestored numbers like Hospitals / Corporation /Police / Relatives. User can also fetch Safe Zone live Mapping withinternet or stored images without Internet.

3 SERVER DEPLOYMENT

The Server will monitor the entire flood information in their databaseand verify them if required. Also the Server will store the entireflood information in their database. Also the Server has to estab-lish the connection to communicate with the Users. The Server willauthenticate each user before they access the Application. So thatthe Server will prevent the Unauthorized User from accessing theApplication.

4 EMBEDDED SENSORS INTERFACE

In this module, we use zigbee to communicate the server. USBOTG grew from the increasing need for portable devices to be ableto communicate with each other as the culture of technology movesfrom a PC Centric world. There are two sensors used here ie. Waterlevel sensor and flow level sensor.

5 WIRELESS ZIGBEE COMMUNICA-

TION

In this module we use zigbee to communicate the various devices.Zigbee is a wireless technology standard for exchanging data over

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short distances from fixed and mobile devices, creating personalarea networks (PANs) with high levels of security. It can connectseveral devices, overcoming problems of synchronization. All de-vices are monitoring the water level and forward the readings toserver using zigbee. Zigbee is connected to dam and main sever.

Figure 2: Flow model for flood level monitoring

6 AUTO CALL & SMS INTERFACE

We can design and implementation of water level detection andalerting. Detect the water level using sensor. In case increase thewater level and speed, information is send to server. Finally alert isgiven to android users. SMS will send to registered mobile numberin case of any emergency. Also SMS send to hospital, police andrelatives like that.

7 GPS SAFE ZONE NOTIFICATION

In this module, we can design and implementation of safe zonenotification. User fetch safe zone live mapping in your nearest areawith internet or stored images without internet.

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8 RESULTS

Figure 3 WSN model view in flood model

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Figure 4 flood model specification using WSN

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Figure 5 Selection of flood zone alert areas

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Figure 6 Cluster Model WSN node connectivity

9 CONCLUSION AND FUTURE EN-

HANCEMENT

The above method are explained the flood model in wireless sensornetwork finally we will get the flood alert from the web server nodeand the alert can be splitter to the public or social environment.In future it can be settled to the broad environment node can beconnected to the sever and used in various application based on thecloud servers.

References

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[2] Nethaji Mariappan, V.E., and R. Shanthi Devi. 2012 Inter-national Journal of Remote Sensing and GIS. Chennai coastVulnerability Assessment Using Optical Satellite data and GIStechniques. Vol 1(3) pp. 175-182 ISSN 2277-9051.

[3] S.Dhamodaran, A.Shrthi ,Adline Thomas, High-ResolutionFlood Hazard Mapping Using Remote Sensing Data, Interna-tional Conference on Computation of Power, Energy Informa-tion and Communication (ICCPEIC),ISBN: 978-1-5090-0901-5,IEEE.

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[4] Ke Wang , Qingfeng Guan,Optimizing the configuration of pre-cipitation stations in a space-ground integrated sensor networkbased on spatial-temporal coverage maximization, Journal ofHydrology 548 (2017) 625640.

[5] S. Dhamodaran, Kumar Shivam, Sonal Kumar Pandit, IndianJournal of Science and Technology Learning a Variety of Re-turn Periods in Digital Altitude based Flood Risk and Liability,Vol 8(22), IPL0277, September 2015ISSN (Print) : 0974-6846ISSN (Online) : 0974-5645.

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[7] Nuhu B. K, Arulogun O. T Et Al ., Wireless Sensor Networkfor Real-time Flood Monitoring Based on 6loWPAN Commu-nication Standard, APTIKOM Journal on Computer Scienceand Information Technologies ,Vol. 1, No. 1, 2016, pp. 12-22,ISSN: 2528-2417.

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