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Y.Y. Yin

Researcher at Environment Canada

Publications -  14
Citations -  503

Y.Y. Yin is an academic researcher from Environment Canada. The author has contributed to research in topics: Land use & Environmental science. The author has an hindex of 8, co-authored 11 publications receiving 472 citations. Previous affiliations of Y.Y. Yin include University of Regina.

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A system dynamics approach for regional environmental planning and management: a study for the Lake Erhai Basin.

TL;DR: An environmental system dynamics model, named ErhaiSD, is developed for supporting this planning task of effective planning for the Lake Erhai Basin, China, and the results are directly useful for simulating and evaluating a variety of decision actions and their dynamic consequences.
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Incorporation of Inexact Dynamic Optimization with Fuzzy Relation Analysis for Integrated Climate Change Impact Study

TL;DR: The FRA method provides a viable means for synthetic analysis of general climate change impact pattern based on the IDO outputs and is helpful for obtaining insight into the interrelations between different system components.
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Land resources adaptation planning under changing climate - a study for the Mackenzie Basin.

TL;DR: In this article, an inexact-fuzzy multiobjective programming model was proposed for adaptation planning of land resources management in the Mackenzie Basin under changing climate, which enables the inclusion of systems interaction and feedback mechanisms and can therefore yield insights that scattered information cannot offer.
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Integrated resource assessment and sustainable land use

TL;DR: In this article, an integrated analytical system is developed and applied to the Peace River Region, British Columbia, Canada, to examine the impacts of a wide range of land-use options and policies upon the achievement of multiple resource use goals.
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Toward quantifying the effectiveness of water trading under uncertainty.

TL;DR: An optimization model based on the interval-parameter two-stage stochastic program (TSP) technique can effectively measure the effectiveness of a water-trading program through estimating the water volume being released through trading in a long-term view.