International Journal For Multidisciplinary Research

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Watershed Impact Mapper

Author(s) Mr. Hussain Hamid, Dr. Manisha Bharati
Country India
Abstract Watershed degradation poses significant environmental and socio-economic challenges, especially under increasing anthropogenic and climatic pressures [1]. Existing geospatial and hydrological tools often lack integrated, automated frameworks for comprehensive impact assessment and scenario analysis [2]. This paper introduces the Watershed Impact Mapper (WIM), an open-source system that combines GIS-based spatial analysis with custom Python algorithms to automate the quantification of environmental impacts on watershed health [3]. The technical contributions of WIM include:
(1) a sediment transport model leveraging the Revised Universal Soil Loss Equation (RUSLE) and digital elevation model (DEM) preprocessing;
(2) a dynamic water quality index using weighted parameter fusion; and
(3) habitat fragmentation analysis through landscape metrics, all implemented in a modular, reproducible codebase[3][4].
Validation on a case study watershed demonstrates that WIM achieves high accuracy in erosion risk prediction and efficient computation relative to commercial alternatives [4]. The system’s dashboard enables policymakers to visualize and simulate land-use change scenarios, addressing the decision-support gap in current watershed management practice [1]. By making all code and workflows publicly available, WIM advances reproducible research and supports adaptive management strategies aligned with sustainable development goals[2][3].
Keywords Watershed delineation, Digital Elevation Model (DEM), Hydrological modeling, Stream network extraction, GIS automation, Python scripting, Flow accumulation, Sink filling, Slope analysis, Watershed management, Geospatial analysis, Environmental impact assessment.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-31
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.46609
Short DOI https://doi.org/g9mvxz
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