Authors: Asha Owandkar, Jayashree Jogi, Tejas Sangle, Vivekanand Bachche, Dr. A. W. Dhawale
DOI Link: https://doi.org/10.22214/ijraset.2022.42116
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Floods are the most frequent and damaging of all types of natural disasters and annually affect the lives of millions all over the globe. Against this background, enhanced climate variability and climate change are expected to increase the frequency and intensity of floods. There are growing demands for deep tunnels to mitigate severe rural flooding by providing a large tunnelling capacity for excess storm runoff. This study aims to assess the flooding mitigation effect of a deep tunnel system proposed in the old downtown of Kolhapur, India. By providing a sufficient tunnel of a particular type of size, we can reduce the flood force on the downstream side for minimizing the negative impacts of floods, often making the difference between life and death
Rainfall extremes cause flooding. Increased surface run-off, and precipitation higher than the capacity of outgoing discharge cause the water level to rise, leading to submergence of regions, debris flows/landslides, water-borne health disasters, and posing threats to sustainable development. Floods impact the ecosystem and society by destroying habitats, affecting lives, damaging infrastructure, etc. Nearly 40 m ha area in India is flood-prone and every year nearly 8 m ha of land is affected by floods. Apart from these, floods during the Rabi and Kharif seasons affect the food security of the nation. Due to the warming climate, increased frequency of rainfall extremes is reported in India. In addition, in recent decades, the warming trend over the Indian Ocean has potentially enhanced moisture supply leading to rainfall extremes in the country. Modern underwater tunnelling begins by constructing an immersed tube within a pre-dug trench on the river or seafloor, to do this pre-fabricated sections of steel and concrete tube are floated into position and strategically sunk into the trench
A. Limitations of Existing System
Based on the literature review and survey conducted in the study area, the following objective is set
III. LITERATURE REVIEW
A. Amir mosavi, published on, 28 October 2018
Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestions, minimization of the loss of human life, and reduction of the property damage associated with floods. To mimic the complex mathematical expressions of physical processes of floods, machine learning (ML) methods contributed highly to the advancement of prediction systems providing better performance and cost-effective solutions during the past two decades. Due to the vast benefits and potential of ML, its popularity dramatically increased among hydrologists.
B. Galateia Terti,1, Isabelle Ruin, Jonathan J. Gourley.
This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance-specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, the vehicle-related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and the built environment in the county level.
C. J. Teng, A.J. Jakeman b, B.F.W. Croke (Article · April 2017)
at: https://www.researchgate.net/publication/316512624 This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation. It explores their advantages and limitations, highlights the most recent advances, and discusses future directions. It addresses how uncertainty is analysed in this field with the various approaches and identifies opportunities for handling it better. The aim is to inform scientists new to the field and help emergency response agencies, water resources managers, insurance companies and other decision-makers keep up to date with the latest developments. Guidance is provided for selecting the most suitable method/model for solving practical flood-related problems.
D. Saksena Rashmi (2007)
According to this report Bangladesh, a country very vulnerable to floods, saw flash flood and landslides in the Chittagong district take as many as 100lives and injure more than 60 people. Fish farms and rice fields were devastated and jute agriculture suffered. The capital city of Dhaka was in knee-high water during a recent flood. Due to an active monsoon rainfall 2007 water level in the majority of rivers are fast approaching the danger mark threatening to inundate more districts and areas.
E. Hire Pramod Kumar S. and Kale Vishwas S. (2006)
In this paper an attempt has been made to quantitatively evaluate the geomorphic effectiveness of three large magnitude floods occurred in 1959, 1968, and 1969 in the lower Tapi basin. Flood hydrographs of these and other flood events show that the duration of floods can range from 6 to 10 days, and in exceptional cases up to 15 days. Hence to produce substantial changes in the alluvial sections of the Tapi River.
For achieving the above set objective following methodology is adopted as shown in fig.1
A. Case study
Natural disasters are a leading cause of human mortality, cause damage to private and public property, deterioration of human health, and environmental degradation. Natural disaster impact and disaster intensity are similar across developed and developing countries, but developed countries have better disaster management and advanced disaster warning systems to prevent the post and pre-disaster impact compared to developing nations. Evidence shows that the USA has faced the highest number of disaster events (506 reported events between 1974-2003) compared to any other country, but less number of people have become victims of these disaster events (4.5 million between1974-20030
B. Field Survey
A field survey is conducted by collecting and gathering information at the local level by conducting primary surveys. The primary surveys are also called field survey.
For the selection of village, firstly we visited several villages Also we visit their corresponding authorities for the collection of basic data likewise total area, an agricultural area, residential area, A village After that we collected the data on Flood impact & also observed that condition of that village after the flood. All-knowing the point of above mentioned Finally we selected the village which is more impacted due to flood as compared to others which village is June Pargaon.The area is shown in fig given below.
C. Assessment of Flood Impact on June Paregaon
D. Reason of Flood
Following are the reasons which cause flooding in the study area.
E. Planning of Underground Tunnel
This is the method we adopted to divert the floodwater.
After doing the study of June Pargoan following conclusion is drawn 1) Provide an underground tunnel to minimize the loss of life and property from flooding. 2) Developed the plan to reduce the area of inundation on floodplains. 3) Recommendation of given study will help the local authorities for future planning.
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Copyright © 2022 Asha Owandkar, Jayashree Jogi, Tejas Sangle, Vivekanand Bachche, Dr. A. W. Dhawale. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors : Asha Owandkar
Paper Id : IJRASET42116
Publish Date : 2022-05-01
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here