Hydrological modelling and Classification of Various Models: A Review

Year : 2026 | Volume : 13 | 01 | Page :
    By

    Shreya Kayal,

  • Susmita Ghosh,

  • Swapan Kumar Ghosh,

  • Sandip Sarkar,

  • Subhojit Chattaraj,

Abstract

Hydrology is the science which deals with the existence, movement and distribution of water of the earth, below the earth and earth’s atmosphere. As one of the branches of earth science, hydrology deals with the water in waterways and lakes, precipitation and snow, snow on the terrestrial and water underneath the earth and rocks. Hydrology has its links with meteorology, geography, measurements, science, material science and liquid mechanics. Engineers and hydrologists are highly concerned about the amount of runoff generating from a given rainfall amount. The surface excess water is most basic and vital parameter for the appraisal of watershed water yield. Watershed management has made use of hydrological models since they are crucial instruments for comprehending the hydrological behaviour of the watersheds. The hydrological models can replicate the effects of various soil and water conservation structures. This aids decision-makers in implementing appropriate conservation strategies in regions that are vulnerable to erosion. A summary of various hydrological models and their uses in watershed management is provided in this article.

Keywords: Hydrological modelling, SWAT, SCS-CN, Artificial Neural Network

How to cite this article:
Shreya Kayal, Susmita Ghosh, Swapan Kumar Ghosh, Sandip Sarkar, Subhojit Chattaraj. Hydrological modelling and Classification of Various Models: A Review. Journal of Water Resource Engineering and Management. 2026; 13(01):-.
How to cite this URL:
Shreya Kayal, Susmita Ghosh, Swapan Kumar Ghosh, Sandip Sarkar, Subhojit Chattaraj. Hydrological modelling and Classification of Various Models: A Review. Journal of Water Resource Engineering and Management. 2026; 13(01):-. Available from: https://journals.stmjournals.com/jowrem/article=2026/view=236389


References


Ahead of Print Subscription Review Article
Volume 13
01
Received 06/12/2025
Accepted 21/01/2026
Published 24/01/2026
Publication Time 49 Days


Login


My IP

PlumX Metrics