Titlebook: Spatial Modelling of Flood Risk and Flood Hazards; Societal Implication Biswajeet Pradhan,Pravat Kumar Shit,Hamid Reza Pou Book 2022 The Ed

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Suvendu Roy variances. A VAR process has this property if the determinantal polynomial of its VAR operator has all its roots outside the complex unit circle. Clearly, stationary processes cannot capture some main features of many economic time series. For example, trends (trending means) are quite common in pr

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Aznarul Islam,Susmita Ghosh,Suman Deb Barman variances. A VAR process has this property if the determinantal polynomial of its VAR operator has all its roots outside the complex unit circle. Clearly, stationary processes cannot capture some main features of many economic time series. For example, trends (trending means) are quite common in pr

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Biraj Kanti Mondal,Satiprasad Sahoo variances. A VAR process has this property if the determinantal polynomial of its VAR operator has all its roots outside the complex unit circle. Clearly, stationary processes cannot capture some main features of many economic time series. For example, trends (trending means) are quite common in pr

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Flood Susceptibility Mapping Using Morphometric Parameters and GIS, parameters. This river basin is a sixth-order drainage system with an adendritic drainage pattern and traverses an area of 4247.99 km.. Almost every year, the lower stretch of the Silabati river basin experiences floods due to physiographic characteristics and excessive rainfall during a short time

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Dynamics River Networks and Determination of the Flood Potential in Lower Brahmaputra Valley Using ogy, rapid bed aggradations, bank line recession, and erosion as well. Floods are considered to be the most common natural disaster that affects the major regions of Northeast India. The objective of this paper is majorly to evaluate the flood vulnerability, which is primarily based on multi-criteri