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Jiun-Chuan Lin

Researcher at National Taiwan University

Publications -  22
Citations -  1619

Jiun-Chuan Lin is an academic researcher from National Taiwan University. The author has contributed to research in topics: Erosion & Landslide. The author has an hindex of 11, co-authored 22 publications receiving 1457 citations.

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Links between erosion, runoff variability and seismicity in the Taiwan orogen

TL;DR: Erosion rates in the Taiwan mountains are estimated from modern river sediment loads, Holocene river incision and thermochronometry on a million-year scale and the pattern of erosion has changed over time in response to the migration of localized tectonic deformation.
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Earthquake-triggered increase in sediment delivery from an active mountain belt

TL;DR: In this article, the authors quantify the geomorphic impact of the 1999 Mw 7.6 Chi-Chi earthquake in Taiwan, which triggered >20,000 landslides and showed that the sequential processes have led to a factor-of-four increase in unit sediment concentration in rivers draining the epicentral area and increased the magnitude and frequency of hyperpycnal sediment delivery to the ocean.
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Stochastic procedure to extract and to integrate landslide susceptibility maps: an example of mountainous watershed in Taiwan

TL;DR: The Generalized Likelihood Uncertainty Estimation (GLUE) is here incorporated into a deterministic landslide model (SHALSTAB) to generate 4000 landslide susceptibility maps which enclose various combinations of full range parameters.
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Slope Movements in a Dynamic Environment - A case study of Tachia River, Central Taiwan

TL;DR: In this article, the authors examined the Tachia River basin in western Taiwan, which was extensively affected by landslides during the 1999 Chi-Chi earthquake, using vertical cartographic aerial photographs and satellite images.
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A QoS-guaranteed coverage precedence routing algorithm for wireless sensor networks.

TL;DR: A routing protocol to accommodate both energy-balance and coverage-preservation for sensor nodes in WSNs is proposed and the results demonstrate that the proposed protocol is able to increase the duration of the on-duty network and provide up to 98.3% and 85.7% of extra service time with 100% sensing coverage ratio comparing with LEACH and the LEACH-Coverage-U protocols, respectively.