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Titlebook: Water Resources and Environmental Engineering II; Climate and Environm Maheswaran Rathinasamy,S. Chandramouli,Uma Mahesh Conference proceed

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31#
發(fā)表于 2025-3-26 22:36:46 | 只看該作者
32#
發(fā)表于 2025-3-27 04:03:25 | 只看該作者
33#
發(fā)表于 2025-3-27 07:39:20 | 只看該作者
A Study on Effect of Water Temperature on the Seepage Pressure Under Subsurface Floor of a Barrage:arrage constructed across Champavati River. During 60% of the year, a constant temperature of 28?°C is maintained and varies during the remaining period. The kinematic viscosities of water are varying in the range of 0.008275–0.009038?cm./sin a year. The seepage velocities are found to vary in propo
34#
發(fā)表于 2025-3-27 09:40:01 | 只看該作者
35#
發(fā)表于 2025-3-27 13:49:38 | 只看該作者
Review of Application of Systems Engineering Approaches in Development of Integrated Solid Waste Mal sustainability indicators. Integrated solid waste management (ISWM) involves multiple operations by interconnecting a wide range of stakeholders. The constraints in decision-making process are posing a challenging task for the urban local bodies. Integration of the modern technologies and systems
36#
發(fā)表于 2025-3-27 19:17:30 | 只看該作者
37#
發(fā)表于 2025-3-28 00:42:20 | 只看該作者
Unfolding Community Structure in Rainfall Network of Germany Using Complex Network-Based Approach,odes. Unfolding structure of such densely interconnected nodes in hydro-climatology is essential for reliable parameter transfer, model inter-comparison, prediction in ungauged basins, and estimating missing information. This study presents the application of complex network-based approach for regio
38#
發(fā)表于 2025-3-28 03:02:35 | 只看該作者
39#
發(fā)表于 2025-3-28 06:37:52 | 只看該作者
40#
發(fā)表于 2025-3-28 13:14:26 | 只看該作者
Comparative Analysis of the Performance of Wavelet-Based and Stand-alone Models in Capturing Non-stmodels have been used to address the non-stationarity in the individual predictor (explanatory) time series where each predictor is “decomposed” into its discrete wavelet components at multiple time–frequency resolutions. However, in the warming climate, the predictor–predictand relationships (PPRs)
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