Novel Methods for Estimating Extreme Design Rainfalls at Gauged and Ungauged Locations in a Changing Climate

Please use this identifier to cite or link to this item: http://tailieuso.udn.vn/handle/TTHL_125/10309

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DC Field	Value	Language
dc.contributor.advisor	Nguyen, Van Thanh Van, Prof.	-
dc.contributor.author	Nguyen, Truong Huy	-
dc.date.accessioned	2020-06-23T08:27:32Z	-
dc.date.available	2020-06-23T08:27:32Z	-
dc.date.issued	2020	-
dc.date.submitted	2020-06-15	-
dc.identifier.uri	http://tailieuso.udn.vn/handle/TTHL_125/10309	-
dc.description	Doctoral thesis. Major: Hydrology and Water resources management; 282 pages.	en
dc.description.tableofcontents	Chapter 1. General Introduction; Chapter 2. A systematic approach to selecting the best probability models for annual maximum rainfalls – A case study using data in Ontario (Canada); Chapter 3. A novel scale - Invariance probability - Weighted - Moment - Based generalized extreme value distribution for modeling rainfall extremes across a wide range of time scales; ...	en
dc.language.iso	en	en
dc.publisher	McGill University	en
dc.source	University of Science and Technology - The University of DaNang	en
dc.subject	Extreme rainfall	en
dc.subject	Probability distribution	en
dc.subject	Scale invariance	en
dc.subject	Climate change	en
dc.subject	Frequency analysis	en
dc.title	Novel Methods for Estimating Extreme Design Rainfalls at Gauged and Ungauged Locations in a Changing Climate	en
dc.title.alternative	Các phương pháp mới trong việc tính toán mưa cực trị thiết kế tại các vị trí có và không có trạm đo trong điều kiện biến đổi khí hậu	en
dc.type	Ph.D Thesis	en
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