Suitability Assessment of Fish Habitat in a Data-Scarce River

Assessing fish habitat suitability in a data-scarce tidal river is often challenging due to the absence of continuous water quantity and quality records. This study comprised an intensive field on 42 km reach which recorded bathymetry physical parameters (pH, electroconductivity, dissolved oxygen, total solids) testing corresponding levels velocity. Frequent sampling was carried out 17 90 locations for laboratory tests. Based this, interpolation technique, i.e., Inverse Distance Weighted (IDW), generates map Geographic Information System (GIS) environment using ArcGIS software determine parameters. Additionally, hydrodynamic model conducted simulate hydraulic Delft3D followed by distribution. During validation, Delft3D-simulated could reasonably mimic most data, GIS featured oxygen. The overall distribution showed lower oxygen level (~3 mg/L) industrial zone compared other two zones during period. On hand, these validated properties were applied Physical Habitat Simulation Model (PHABSIM) set up conduct Labeo rohita (Rohu fish). Thus, represent details studied future decision support systems, this envisaged applying it similar rivers.