GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost,Bagging, and MultiBoost ensemble frameworks     

Dieu Tien Bui  Tien-Chung Ho  Biswajeet Pradhan  Binh-Thai Pham  Viet-Ha Nhu  Inge Revhaug 《Environmental Earth Sciences》2016,75(14):1101

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Seasonal variations in the low-salinity intermediate water in the region south of sub-polar front of the East Sea (Sea of Japan)     

Chang-Woong Shin  Sang-Kyung Byun  Cheolsoo Kim  Jae Hak Lee  Bong-Chae Kim  Sang-Chull Hwang  Young Ho Seung  Hong-Ryeol Shin 《Ocean Science Journal》2013,48(1):35-47

Seasonal variations in the low-salinity intermediate water (ESIW) in the region south of the sub-polar front of the East Sea were investigated by using historical hydrographic data. The salinity of the representative density (sigma-0=27.2) of the ESIW was minimal in summer and maximal in winter in the region south of the sub-polar front. The selected four subregions showed different salinity variations. In the west of Oki Spur and the Yamato Basin, salinity fluctuated similarly, with a minimum during summer. In the Ulleung Basin and northwest of Sado Island, however, variations in salinity showed two minima, one is in winter and the other is in summer. These results imply differences in the flow path of the ESIW into the region south of the sub-polar front over time.  相似文献   

Evaluating the contribution of multi-model combination to streamflow hindcasting by empirical and conceptual models   总被引：1，自引：1，他引：0  

Yen-Ming Chiang  Ruo-Nan Hao  Hao-Che Ho  Tsang-Jung Chang 《水文科学杂志》2017,62(9):1456-1468

The contribution of multi-model combination to daily streamflow hindcasting was evaluated through the HBV (Hydrologiska Byråns Vattenbalansavdelning) and RNN (recurrent neural networks) models with 100 ensemble members generated with different initial conditions for both. In the calibration phase, the analysis showed that the HBV and RNN models with 20 members have better accuracy and require less calibration time. The combination of two models, however, did not provide significant improvements when 80 more members were added in the combination. In the validation phase, the results indicated that both HBV and RNN models with 20 members not only accurately produce reliable and stable streamflow hindcasting, but also effectively simulate the timing and the value of peak flows. From the consistency of calibration and validation results, the study provides an important contribution, namely, that ensemble size is not sensitive to the type of hydrological model in terms of streamflow hindcasting.  相似文献   

Mortality risk of a future heat event across a subtropical city: implications for community planning and health policy     

Ho  Hung Chak  Wai  Ka Ming  He  Minhao  Chan  Ta-Chien  Deng  Chengbin  Wong  Man Sing 《Natural Hazards》2020,103(1):623-637

Natural Hazards - In this study, we applied the Weather Research and Forecasting model to project 2050 urban and rural temperature. We applied a time-stratified analysis to compare it with...  相似文献