The Indian subcontinent is annually affected by floods that cause profound irreversible damage to crops and livelihoods. With increased incidences of floods and their related catastrophes, the design, development, and deployment of an Early Warning System for Flood Prediction (EWS-FP) for the river basins of India is needed, along with timely dissemination of flood-related information for mitigation of disaster impacts. Accurately drafted and disseminated early warnings/advisories may significantly reduce economic losses incurred due to floods. This study describes the design and development of an EWS-FP using advanced computational tools/methods, viz. HPC, remote sensing, GIS technologies, and open-source tools for the Mahanadi River Basin of India. The flood prediction is based on a robust 2D hydrodynamic model, which solves shallow water equations using the finite volume method. The model is open-source, supports geographic file formats, and is capable of simulating rainfall run-off, river routing, and tidal forcing, simultaneously. The model was tested for a part of the Mahanadi River Basin (Mahanadi Delta, 9225 sq km) with actual and predicted discharge, rainfall, and tide data. The simulated flood inundation spread and stage were compared with SAR data and CWC Observed Gauge data, respectively. The system shows good accuracy and better lead time suitable for flood forecasting in near-real-time.
Wetlands are very important ecosystems from the ecological, productivity and conservation perspective. Economic valuation of ecosystem services provided by wetlandsquantifies the various benefits derived from wetlands and puts a value on their conservation. One such wetland of importance is the Renuka wetland, which is a natural wetland located in the Western Himalayas, in the State of Himachal Pradesh of India. The article aims to assess and evaluate the wetland for its water purification service. The study is based on multisource data and conventional evaluation method. The results show that the average depth of the Renuka wetland is 6.01 m and average volume was determined as 1072530.176 m3. The economic value of water purification service for Renuka wetland is estimated to be INR 31.9 million(0.44 million USD) thus identifying the Renuka wetland as a significant healthy ecosystem. The water purification value itself advocates its proper management and conservation.
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