Flash Flood Forecasting using Different Artificial Intelligence Method

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-59 Number-3
Year of Publication : 2018
Authors : Sangeetha.S, Jayakumar.D
DOI :  10.14445/22315381/IJETT-V59P225


Sangeetha.S, Jayakumar.D"Flash Flood Forecasting using Different Artificial Intelligence Method", International Journal of Engineering Trends and Technology (IJETT), V59(3),140-144 May 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Flash flood forecasting is a sudden occurance of flood in the absence of rainfall due to river discharge, dam breaking, ice and snow melts. Due to sudden occurance of flood it may cause several damages. To avoid the damages and to prevent people from damages several artificial intelligence techniques are used. From those techniques some of the techniques are combined and used to improve the efficiency and performance of the flood forecasting system. With the help of support vector regression volume of rainfall and moisture of the soil is calculated. Finally it may display alert message.

[1] Jain Zhang, Yuansheng Lou, Jiangsu Nanjing , “ Water level prediction based on improved grey RBF neural network model”, 2016.
[2] Fan Liu, Feng Xu, Sai Yang , “A flood forecasting model based on deep learning algorithm via integrating stacked auto encoders with BP neural network”, 2017.
[3] Alexandra Ribeiro, Alberto Cardoso, Alfeu S.Marques, Nuno E.Simoes , “Geosensing-Based platform for supporting operational river flood forecasting”, 2017.
[4] Jialan Sun, Xiaohui Lei, Weihong Liao, Yunzhong Jiang, Hao Wang , “Development of a flood forecasting system and its application to upper reaches of Zhangweehe river basin”, 2012.
[5] Izzati Abdul Rahman, Nik Mohd Asrol Alias, “Rainfall forecasting using an Artificial Neural Network model to prevent flash floods”,2011.
[6] Huang Mincong, Xie Jiancang, Cai Yang, Wang Ni, Zhang Yongjin , “Application of middleware techniques in web of flood forecasting system with multiple models”,2006.
[7] Art Ramli Adnan, Fazlina Ahmat Ruslan, Abd Manan Samad, Zinazlan Md Zain , “Artificial Neural Network modeling and flood water level prediction using Extended Kalman Filter”, 2012.
[8] M.Malathi, K.Aruli, S.Mohamed Nizar, A.Sagaya Selvaraj, “A survey on plant leaf disease detection using Image Processing Techniques”,2015.
[9] K.Poornima, R.Kanchana, “A method to align images using Image Segmentation”,2012.
[10] Khaled Boukharouba, Pierre Roussel, Gérard Dreyfus, Anne Johannet, “Flash Flood Forecasting using Support Vector Regression: An Event Clustering Based Approach”,2013.

Artificial Neural Network, Adaptive Neuro Fuzzy Inference System, Support Vector Regression, Soil moisture sensor.