Related Experiment Video
Updated: May 20, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Exploring the morpho-tectonic nature, hydrological and physical characteristics of a watershed and prioritizing
1School of Water Resources Engineering, Jadavpur University, Kolkata, 700032, West Bengal, India.
Abstract:
Much effective rainfall often leads to natural and human-induced hazards when unused. Therefore, monitoring and managing water resources by assessing comprehensive surface runoff (SR) potential is crucial instead of relying on broad sub-watershed (SW) generalizations. This study aims to identify the characteristics of landscape evolution and hydro-physical factors that influence SR. It prioritizes the SR potentials of SWs by examining multi-dimensional aspects of hybrid MCDM models integrated with ensemble machine learning techniques. Findings show SW shapes vary from elongated (0.57) to oval (0.87). Stream length ratios ranging from SW4 (0.61) to SW5 (9.99) indicate diverse slope magnitudes and geomorphic development stages. Moderate drainage densities (0.65-0.89 km/km2) indicate underlying litho-structural influences on drainage networks. Low to moderate drainage textures (1.33-2.33) suggest potential SR zones, mainly due to the Proterozoic gneissic complex dominance. Landscape evolution analysis shows SWs are at an early mature stage (average 0.49). The prioritization results from the hydro-morphotectonic (MPT) and hydro-physical (HYP) TOPSIS and VIKOR integrated extra trees regression (ETR) models achieve the best accuracy, followed by XGBoost, Bagging, and Voting models. Among the 24 models analyzed, TOPCOM-ETR (RMSE = 0.106), VIKHYP-ETR (RMSE = 0.093), and TOPMPT-ETR (RMSE = 0.129) are found most effective for prioritizing SWs. The study identifies that sloping SWs 1-2, 9-11, besides concave SWs 5 and 8, are optimal for maximizing SR. The TOPCOM-ETR model highlights the foothill SWs with the highest runoff potential based on relief, slope, and hydrological features. The findings of this study can help guide government agencies in making informed decisions to tackle water-related challenges and uncertainties.
More Related Videos
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
09:44Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Modeling and Similitude
Typical Model Studies
Design Example: Creating a Hydraulic Model of a Dam Spillway
Conservation of Mass in Moving, Nondeforming Control Volume
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
Applications of GIS: Disaster Management and Emergency Response