http://scholars.ntou.edu.tw/handle/123456789/10935
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chih-Chiang Wei | en_US |
dc.contributor.author | Nien-Sheng Hsu | en_US |
dc.contributor.author | Chien-Lin Huang | en_US |
dc.date.accessioned | 2020-11-21T06:54:23Z | - |
dc.date.available | 2020-11-21T06:54:23Z | - |
dc.date.issued | 2016-01 | - |
dc.identifier.issn | 0920-4741 | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/10935 | - |
dc.description.abstract | In meteorology and engineering, the prediction of quantitative precipitation and streamflow during typhoon events is a vital research topic. In Southern Taiwan, typhoons often occur in the summer. The interaction between the typhoon circulation and southwesterly monsoon flow frequently transports abundant moisture into Southern Taiwan leading to the substantial pouring rains. This study proposes a rainfall-runoff prediction methodology for addressing the complicated inflow forecasts of southwest monsoon rainfall during typhoons in the upper Tsengwen River in Southern Taiwan. This paper is novel in that it incorporates various data types (reservoir inflows, watershed rainfalls, typhoon information, and ground-weather characteristics) that were applied as model inputs. The most frequently used support vector regressions were employed to construct the rainfall-runoff models on the basis of three designed data combination scenarios. Typhoons Kalmaegi (2008), Fung-wong (2008), Jangmi (2008), and Morakot (2009) were used as validation typhoons. The model cases, involving lead times of 1 h to 6 h, were evaluated. Six performance criteria were used in the three scenarios to highlight the scenario capable of identifying the optimal performance level. In addition, this study compared the error rates between accumulation observations and accumulation predictions. The results showed that Scenario 3, which considered typhoon information and ground-weather characteristics simultaneously, had superior watershed rainfall and runoff predictions to those of the other scenarios. Thus, this study demonstrated the feasibility of using the proposed methodology to increase the accuracy of rainfall-runoff predictions. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Water Resources Management | en_US |
dc.title | Rainfall-Runoff Prediction Using Dynamic Typhoon Information and Surface Weather Characteristic Considering Monsoon Effects | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | <Go to ISI>://WOS:000369520400025 | - |
dc.identifier.doi | 10.1007/s11269-015-1196-3 | - |
dc.identifier.doi | <Go to ISI>://WOS:000369520400025 | - |
dc.identifier.url | <Go to ISI>://WOS:000369520400025 | |
dc.relation.journalvolume | 30 | en_US |
dc.relation.journalissue | 2 | en_US |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | College of Ocean Science and Resource | - |
crisitem.author.dept | Department of Marine Environmental Informatics | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.dept | Center of Excellence for Ocean Engineering | - |
crisitem.author.dept | Data Analysis and Administrative Support | - |
crisitem.author.orcid | 0000-0002-2965-7538 | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Ocean Science and Resource | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | Center of Excellence for Ocean Engineering | - |
Appears in Collections: | 海洋環境資訊系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.