不法行为
发表于 2025-3-28 18:05:36
http://reply.papertrans.cn/103/10212/1021147/1021147_41.png
傲慢人
发表于 2025-3-28 19:21:33
http://reply.papertrans.cn/103/10212/1021147/1021147_42.png
SPER
发表于 2025-3-29 02:35:54
http://reply.papertrans.cn/103/10212/1021147/1021147_43.png
MIR
发表于 2025-3-29 04:22:44
Investigation of Flash Flood Producing Rainstorm in Northeast Bangladesh Using WRF Model,d rainfall was about 152 mm for outer domain-1, 195 mm for inner domain-2 and 209 mm for the innermost domain-3 whereas actual rainfall was 223 mm as recorded by BMD. For instance, in convection resolving resolution at 9 km and 3 km domain, the model error was 12.3% and 5.9% respectively.
analogous
发表于 2025-3-29 07:57:15
http://reply.papertrans.cn/103/10212/1021147/1021147_45.png
Dri727
发表于 2025-3-29 11:37:12
An Overview on Isotopes in Precipitation of Bangladesh,s been observed in coastal stations and DN during January to May, while monsoon precipitation is mostly characterized by reduced amount effect and “anti-amount effect”. Moreover, wide range of d-excess during non-monsoon precipitation bears the evidence of mixture of vapour from different sources an
CURL
发表于 2025-3-29 15:48:37
http://reply.papertrans.cn/103/10212/1021147/1021147_47.png
表示问
发表于 2025-3-29 22:08:26
http://reply.papertrans.cn/103/10212/1021147/1021147_48.png
放纵
发表于 2025-3-30 03:46:15
Impact of Internal Road Network on Water-Logging Inside Polders,nd the dredging of peripheral river on water-logging. It is found that the appropriate drainage route along with river excavation can reduce the extent of water-logging in the area. The strategic placement of culverts plays an important role in determining maximum drainage rate. River dredging is on
interlude
发表于 2025-3-30 06:24:30
Application of Machine Learning Algorithms for Local Level Flood Prediction: A Simplest Way of Likeupon. Each model has been trained with one set of water level time series data of associated station, but models for all the stations share the same set of spatio-temporal rainfall data, observed from a common station. ANN and SVM have a reputation for delivering good performance for many applicatio