Flood Control Measures: A Case Study On Krishna River Bank (Digraj Village, Sangli) Using Q-GIS Software

  • Unique Paper ID: 180572
  • PageNo: 1723-1728
  • 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.

Copyright & License

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.

BibTeX

@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},
        }

Cite This Article

DONGRE, O., & KADU, A., & LAGAD, A. (2025). Flood Control Measures: A Case Study On Krishna River Bank (Digraj Village, Sangli) Using Q-GIS Software. International Journal of Innovative Research in Technology (IJIRT), 12(1), 1723–1728.

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