JOURNAL ARTICLE

RAINFALL PATTERNS AND ITS IMPACT ON STORM WATER RUNOFF USING WEIBULL DISTRIBUTION METHOD: A CASE STUDY OF DAHISAR, MUMBAI, INDIA.

  • Published In: i-Manager's Journal on Civil Engineering, 2025, v. 15, n. 3. P. 35 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: ABHISHEK, S. N.; GODIHAL, SURAJ PARAMANNA; GAIKWAD, CHETANA; PAGAR, SHAILESH J. 3 of 3

Abstract

This research investigates the effects of urbanization on stormwater runoff in Dahisar, Mumbai, India, over the period 2003-2023. NASA POWER data, along with the Weibull distribution method, is employed to assess long-term trends in rainfall and temperature. The study highlights a notable rise in impervious surfaces driven by urban growth, as identified through the Weibull distribution analysis. The peak stormwater discharge is estimated at 1433.44 cubic meters per second, highlighting the growing risk of urban flooding. The findings indicate an annual average rainfall of 1720 mm, which directly influences stormwater dynamics and drainage capacity. The study underscores the pressing need for sustainable urban planning strategies that integrate resilient water management solutions. Green infrastructure, permeable pavements, and improved drainage networks are recommended to mitigate the adverse effects of rapid urbanization on stormwater systems. As Mumbai continues to expand, addressing these hydrological challenges is essential to reduce flood risks and enhance climate resilience. The study provides valuable insights for policymakers, urban planners, and environmental engineers, advocating for adaptive measures to improve urban water management in coastal megacities. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:i-Manager's Journal on Civil Engineering. 2025/09, Vol. 15, Issue 3, p35
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2025
  • ISSN:22311068
  • DOI:10.26634/jce.15.3.22243
  • Accession Number:188340576
  • Copyright Statement:Copyright of i-Manager's Journal on Civil Engineering is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.