stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
羅英秦 , Masters Advisor：張斐章
繁體中文 DOI： 10.6342/NTU.2013.01108
- 1. Anderl, B., Attmannspacher, W., & Schultz, G. A. (1976). Accuracy of reservoir inflow forecasts based on radar rainfall measurements. Water Resources Research, 12(2), 217-223.
- 2. Andreassian, V., Oddos, A., Michel, C., Anctil, F., Perrin, C., & Loumagne, C. (2004). Impact of spatial aggregation of inputs and parameters on the efficiency of rainfall‐runoff models: A theoretical study using chimera watersheds. Water Resources Research, 40(5).
- 3. Atger, F. (2001). Verification of intense precipitation forecasts from single models and ensemble prediction systems. Nonlinear processes in Geophysics,8(6), 401-417.
- 4. Bartholmes, J. C., Thielen, J., Ramos, M. H., & Gentilini, S. (2009). The european flood alert system EFAS–Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrology and Earth System Sciences, 13(2), 141-153.
- 5. BALINT, G., CSIK, A., BARTHA, P., GAUZER, B., & BONTA, I. (2006). Application of meteorological ensembles for Danube flood forecasting and warning. In Transboundary floods: reducing risks through flood management(pp. 57-68).
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