Policy progress in mitigation of climate change in Taiwan

Hwang, Jenn Jiang; Chang, Wei Ru

doi:10.1016/j.enpol.2010.11.033

Cited by 14 publications

(6 citation statements)

References 10 publications

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“…The increasing trend of climate change-related weather is a topic of policy debates [ 41 ]. The Taiwanese government has made a commitment to mitigate climate change [ 59 ], but the cooperation and coping of the public have yet to show any serious adaptations. Most of the current studies on climate change in Taiwan focus on the “hard” science aspect or the potential impacts, such as on water resources [ 60 ], the fishing industry [ 61 ], and infectious diseases [ 62 ], of climate change.…”

Section: Introductionmentioning

confidence: 99%

Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors

Sun

Han

2018

IJERPH

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This study differentiates the risk perception and influencing factors of climate change along the dimensions of global severity and personal threat. Using the 2013 Taiwan Social Change Survey (TSGS) data (N = 2001) as a representative sample of adults from Taiwan, we investigated the influencing factors of the risk perceptions of climate change in these two dimensions (global severity and personal threat). Logistic regression models were used to examine the correlations of individual factors (gender, age, education, climate-related disaster experience and risk awareness, marital status, employment status, household income, and perceived social status) and societal factors (religion, organizational embeddedness, and political affiliations) with the above two dimensions. The results demonstrate that climate-related disaster experience has no significant impact on either the perception of global severity or the perception of personal impact. However, climate-related risk awareness (regarding typhoons, in particular) is positively associated with both dimensions of the perceived risks of climate change. With higher education, individuals are more concerned about global severity than personal threat. Regarding societal factors, the supporters of political parties have higher risk perceptions of climate change than people who have no party affiliation. Religious believers have higher risk perceptions of personal threat than non-religious people. This paper ends with a discussion about the effectiveness of efforts to enhance risk perception of climate change with regard to global severity and personal threat.

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Section: Introductionmentioning

confidence: 99%

Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors

Sun

Han

2018

IJERPH

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“…This finding was consistent with Hsu and Chen [25], who discovered that temperature in the North of Taiwan tended to rise while LST in the South tended to fall over the past century. This difference might be due to the implementation of government policies aimed at reducing greenhouse gases and global warming [26].…”

Section: Discussionmentioning

confidence: 99%

The Influence of Elevation, Land Cover and Vegetation Index on LST Increase in Taiwan from 2000 to 2021

2023

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Land Surface Temperature (LST) is an important factor in ground surface energy balance and in universal climatology studies. Elevation, Land Cover (LC), and vegetation index are three factors that influence ground surface variation, and their influences vary depending on geography. This study aimed to: (i) investigate the seasonal patterns and trends of daytime LST, and (ii) examine the influence of elevation, LC, and vegetation index on daytime LST increase in Taiwan from 2000 to 2021. LST, vegetation, and LC data were downloaded from the Moderate Resolution Imaging Spectroradiometer (MODIS) website, and elevation data were downloaded from the United States Geological Survey (USGS) website. The natural cubic spline method was applied to investigate annual seasonal patterns and trends in daytime LST. Linear regression modeling was applied to investigate the influence of elevation, LC, and vegetation index on daytime LST increases. The results showed that the average increase in daytime LST per decade in Taiwan was 0.021 °C. Elevation, LC, and vegetation had significantly affected the daytime LST increase, with R2 of 32.5% and 28.1% for the North and South parts of the country, respectively. The daytime LST increase in the North at elevations higher than 1000 m had an increasing trend, while in the South the increasing trend was found at elevations higher than 350 m above sea level. All types of forest and urban areas in the North had a higher daytime LST increase than the average, while in the South, the areas with water, closed shrubland, and urban parts had a higher daytime LST increase than the average.

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“…After the event, much work has also been done in societal aspects to mitigate the disasters such as Morakot (e.g., Chern 2011;Huang and Chang 2011;WRA 2015), but these societal aspects are beyond the scope of the present review.…”

Section: Summary and Concluding Remarksmentioning

confidence: 99%

A Decade after Typhoon Morakot (2009): What Have We Learned about Its Physics and Predictability?

Wang

Kuo

Chen

et al. 2022

Weather and Forecasting

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Typhoon Morakot struck Taiwan during 7-9 August 2009 and became the deadliest tropical cyclone (TC) in five decades by producing up to 2635 mm of rain in 48 h, breaking the world record. The extreme rainfall of Morakot resulted from the strong interaction among several favorable factors that occurred simultaneously. These factors from large scale to small scale include: (1) weak environmental steering flow linked to the evolution of the monsoon gyre and consequently slow TC motion; (2) a strong moisture surge due to low-level southwesterly flow; (3) asymmetric rainfall and latent heating near southern Taiwan to further reduce the TC’s forward motion as its center began moving away from Taiwan; (4) enhanced rainfall due to steep topography; (5) atypical structure with a weak inner core, enhancing its susceptibility to the latent heating effect; and (6) cell merger and back building inside the rainbands associated with the interaction between the low-level jet and convective updrafts. From a forecasting standpoint, the present-day convective-permitting or cloud-resolving regional models are capable of short-range predictions of the Morakot event starting from 6 August. At longer ranges beyond 3 days, larger uncertainty exists in the track forecast and an ensemble approach is necessary. Due to the large computational demand at the required high resolution, the time-lagged strategy is shown to be a feasible option to produce useful information on rainfall probabilities of the event.

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Policy progress in mitigation of climate change in Taiwan

Cited by 14 publications

References 10 publications

Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors

Climate Change Risk Perception in Taiwan: Correlation with Individual and Societal Factors

The Influence of Elevation, Land Cover and Vegetation Index on LST Increase in Taiwan from 2000 to 2021

A Decade after Typhoon Morakot (2009): What Have We Learned about Its Physics and Predictability?

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