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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters


DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
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「」 「 」 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: 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 ) 。

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Reference ( 32 ) 〈TOP〉
  1. Anibas, C., Buis, K., Verhoeven, R., Meire, P. and Batelaan, O., 2011, “A simple thermal mapping method for seasonal spatial patterns of groundwater–surface water interaction”, Journal of Hydrology, 397:93-104.
  2. Banerjee, P., Singh, V.S., Chatttopadhyay, K., Chandra, P.C., Singh, B.,2011,”Artificial Neural Network Model as A Potential Alternative for Groundwater Salinity Forecasting.”, Journal of Hydrology, 398(3):212-220.
  3. Batlle-Aguilar, J., Xie, Y., Cook, P. G, 2015, “Importance of stream infiltration data for modelling surface water–groundwater interactions”, Journal of Hydrology, 528:683–693.
  4. Chang, F.J., Chen, P.A., Lu, Y.R., Eric Huang, Chang, K.Y., 2014, “Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control", Journal of Hydrology, 517: 836-846.
  5. Ewa, O., Błażej, K., Stefan, T., Marek, R., Vasil, S., Zaneta, P.,2014, ” Assessment of the water quality of Kłodnica River catchment using self-organizing maps”, Science of The Total Environment ,476-477:477-484.
Times Cited (1) 〈TOP〉
  1. 賴佳薇(2017)。以自組特徵映射網路探討地下水資源時空變化特性。臺灣大學生物環境系統工程學研究所學位論文。2017。1-100。 
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