Copyright © 2026 Authors retain the copyright of this article. This article 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.
@article{180572,
author = {OM DONGRE and AVADHOOT KADU and ATHARVA LAGAD},
title = {Flood Control Measures: A Case Study On Krishna River Bank (Digraj Village, Sangli) Using Q-GIS Software},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {1},
pages = {1723-1728},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=180572},
abstract = {The Krishna river bank Bank (Digraj Village)
is
prone to frequent and severe flooding, posing
significant risks to the communies and ecosystems along
its course. Q-GIS enables the integra on of spa al data to
analyse and model the river Bank ( Digraj)'s topography,
land use pa erns, and hydrological characteristics. The
research focuses on developing a comprehensive flood
control strategy, incorpora ng Q-GIS- based tools for real-
me monitoring, early warning systems, and decision
support. Implementaion of structural measures such as
reservoir management and embankments, coupled with
nonstructural measures like land-use planning and
community awareness, are examined for their efficacy in
mi ga ng flood impacts. The study aims to provide
valuable insights for policymakers and stakeholders
involved in disaster management, offering a sustainable
approach to enhance the resilience of the Krishna river
bank Bank (Digraj) against floods. Krishna river bank is
one of the largest River Banks in India, covering an area
of around 258,948 sq. km. It is a major source of
irrigation, hydropower, and drinking water for the states
of Maharashtra, Karnataka, and Andhra Pradesh.
However, the Bank is also highly prone to floods, which
cause extensive damage to life and property. The causes
of floods in the Krishna river bank, Digraj can be a
ributed to both natural and human factors. Heavy rainfall
during the monsoon season is the most common cause of
floods in the region. To mi gate the impact of floods in the
Krishna river bank, several flood control measures have
been implemented. These measures can be classified into
structural and non-structural measures.},
keywords = {Krishna river bank Bank (Digraj), Flood Control, Quantum Geographic Information System (Q GIS), Hydrological Modelling, Reservoir Management, Early Warning Systems, Structural Measures.},
month = {June},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry