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Titlebook: Sustainable Water Resources Management; Proceedings of SWARM Rajib Kumar Bhattacharjya,Bipul Talukdar,Konstanti Conference proceedings 2023

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Comparison of Simple and Modified SCS-CN in Runoff Prediction in a Highly Flood Prone Zonecerning factor, types of landuse and landcover (LU/LC), and the other influencing factor (rainfall for the year 2007–2017) of HSG required to derive the curve number (CN). But in the modified SCS-CN method, additional affecting parameter slope is considered to enhance the accuracy of modeled results
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Quantification of Discharge Hysteresis Produced in Amazon River Basinrgest area in Mississippi River basin have hysterical pattern for less lag time. The hysterical index for Mississippi River basin was found around 0.23. In some of the basins, no hysteresis were formed, so for them hysterical index is not determined as it will be close to zero.
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Impact of Climate Change on Daily Maximum Temperature of the Brahmaputra River Basine temperature and precipitation cycles. These changes lead to the spatial and temporal variations of the global precipitation patterns. Consequently, the water resources are affected in terms of both the quantity and quality of natural water bodies. The Brahmaputra River Basin having wide spatial va
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Impact of Sea-Level Rise on a Coastal Catchment of Brunei Darussalamise. Brunei Darussalam is a small country located along the coast of Borneo Island on the South China Sea. Case studies of several countries for flood hazard are taken into consideration to understand flood simulation models and predictions of future flooding event after calibration and validation.
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Challenges of Data Scarcity in Statistical Downscaling of Rainfall Using Large-Scale GCM Modelseter. However, complications arise when available data is of short duration. In the northeastern states of India, researchers have been facing this difficulty of scarcity of data for a long time. Short duration of observed data makes it difficult to choose suitable datasets for calibration and valid
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Investigation of Climate Extremes: A Study in Dudhnoi River Basin, Indian—a sub-watershed of the mighty Brahmaputra River through climate change indicators using daily gridded temperature and precipitation data. Determination of trends in the climate extremes instead of trends in climatic means is one of the main objectives in this study, since extreme events as a resul
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