The implementation period of this project is from May 18, 2020 to May 17, 2021. All work items have been accomplished and the first draft of term report was submitted by April 27, 2021 in accordance with the project contract requirements. After receiving the opinions and suggestions from scholars and commissioners on June 15, 2021, this project modified the term report and replied to scholars’ and commissioners’ opinions and suggestions, and submitted their consent replies to the bureau for review on June 30. Extracts of the enforcement results of all work items are shown as follows:
This project has been horizontally combining other projects’ capacity of unmanned aerial vehicle (UAV), grasping the distribution of exposed riverbed in a rolling manner and urging the river management offices to finish exposed riverbed improvement earlier under the concept of preventive deployment. A total of 651.2 hectares of exposed reverbed have been improved in 2020, which is 8% higher compared with 2019 and the most improvement areas for exposed reverbed in the recent five years, and correspond to 16.73 tons of PM10 emission reduction based on their actual control periods. In addition, this project invited the 7th River Management Office to extract river dust improvement experiences from Zhuoshui River to go forward the creative and strategic thinking by hosting an inter-office observation tour for river dust improvement of Zhuoshui River. This project also drafted a battle strategy map for Gaoping River dust improvement with river management offices by holding the liaison meeting for Gaoping River dust control. The river management offices have been adding scattering grass seed method by using Plant Protection UAV and spraying water method for emergency response capacity by using refitted excavators to reinforce river dust prevention capacity under the concept of site-based and time-based exposed riverbed improvement.
The highest maximum hourly average concentration is 440.3 μg/m3 based on analyses of three river fugitive dust episode days during January to December of 2020, which is 27% lower compared with 2019 (601.7 μg/m3). Furthermore, this project has utilized ISCST3 Dispersion Model with three times (May 4, May 14 and May 15, 2021) of river dust early-warning data provided by Environmental Protection Administration (EPA) to simulate the PM10 incremental concentrations at monitoring stations and potential impact levels and extents six times in a rolling manner and also compared the simulation results with UAV aerial photographs to analyze the critical exposed riverbed that may cause river fugitive dust events. This project has offered related information to river management offices to go forward preventive dust control operations so that the river dust influence concentration or occurrence probability may decrease. There is no river fugitive dust episode day during January to May of 2021, which is a significant progress on number of episode days compare to the same periods in the past four years (2017~2020).
As regards the environmental cleanup, this project has finished 3057.8 kilometers of river dust environmental cleanup with a total PM10 emission reduction of about 7.9 tons. With respect to the river dust educational propaganda, a training session of river dust education for villages along the Gaoping River, three propaganda of river dust education for schools and a river dust pre-notification and self-protection drill have been held this year. Through the questionnaire survey after the educational propaganda, 95% of the respondents gave positive evaluation to Environmental Protection Bureau, Pingtung County Government for their promoting related work regarding river fugitive dust control. Furthermore, according to the results of the public satisfaction survey executed by Nsysu Survey Center, the public gave this county a positive rating of 89% for river dust improvement, which was consistent with the result of this project’s questionnaire survey. As for 2020 EPA evaluation, both achieving rates of river dust improvement items are 100%.