The Study on Artificial Recharge of Groundwater for Land Subsidenceusing Existing Agricultural Ponds
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濁水溪流域颱風降雨特性the Rainfall Characteristics of the Zhoushui
濁水溪流域颱風降雨特性 白烈燑(1) 王慶豐(2) 陳進興(3) 徐瑞宏(4) 黃皇嘉(5) 摘 要 台灣地區受颱風影響劇烈,故針對濁水溪流域颱風降雨特性進行分析,以瞭解濁水溪流域 受颱風侵台之影響,作為未來防災應用、規劃設計或水資源利用參考。依據中央氣象局十類侵 台颱風路徑,分析 1958 年至 2010 年間之歷史颱風資料,歷年各路徑侵台颱風事件之平均降雨 延時介於 35 至 65hr 間,平均降雨延時最長者為第十類侵台颱風路徑,最短者為第九類侵台颱 風路徑。總降雨量方面,影響濁水溪流域降雨較大者為第一、二、三、六及十等 5 類颱風侵台 路徑。降雨分佈方面,第一、二、三、九、十類侵台颱風路徑之颱風主要降雨區為清水溪上游; 第四、五、六、七、八類侵台颱風路徑之颱風主要降雨區為丹大、郡大溪流域。降雨強度方面, 主要強降雨區為濁水溪上游、丹大、郡大溪上游、陳有蘭溪中、上游、清水溪中、上游及日月 潭集水區等八區。 (關鍵詞:降雨延時、降雨分佈、降雨強度) The rainfall Characteristics of the Zhoushui River Basin During Typhoon Seasons Lieh-Tung Pai(1) Wang, Ching-Feng(2) Chen, Chin-Hsing(3) Syu, Ruei-Hong(4) Huang, Huang-Jia(5) Director(1) Deputy Director(2) Section Manager(3) Associate Engineer(4), Planning Section, Fourth River Management Office, WRA.Engineer(5), Sinotech Engineering Services, LTD. ABSTRACT During typhoon seasons, Taiwan was suffered for heavy storm rainfall, which usually caused large river runoff, overland flow, erosion, landslide, debris flow, loss of power, and etc. In order to understand effects of large precipitations on the (1)經濟部水利署第四河川局局長 (2)經濟部水利署第四河川局副局長 (3)經濟部水利署第四河川局規劃課課長 (4)經濟部水利署第四河川局規劃課副工程司 (5)環興科技股份有限公司工程師(通訊作者 E-maill:[email protected]) 水土保持學報 45 (2): 641 – 652 (2013) Journal of Soil and Water Conservation, 45 (2): 641 – 652 (2013) Zhuoshui River Basin, this study analyzed the rainfall characteristics of typhoons for providing references of applications of disaster prevention, planning and design of water resource uses. The recordings of typhoon rainfall during 1958-2010 were divided into ten path categories by the Central Weather Bureau. The averages of typhoon rainfall durations for each path category were between 35 and 65 hrs, the longest average duration was typhoons of the tenth path category and ninth path category was the shortest average duration. -
Cycling Taiwan – Great Rides in the Bicycle Kingdom
Great Rides in the Bicycle Kingdom Cycling Taiwan Peak-to-coast tours in Taiwan’s top scenic areas Island-wide bicycle excursions Routes for all types of cyclists Family-friendly cycling fun Tourism Bureau, M.O.T.C. Words from the Director-General Taiwan has vigorously promoted bicycle tourism in recent years. Its efforts include the creation of an extensive network of bicycle routes that has raised Taiwan’s profile on the international tourism map and earned the island a spot among the well-known travel magazine, Lonely Planet’s, best places to visit in 2012. With scenic beauty and tasty cuisine along the way, these routes are attracting growing ranks of cyclists from around the world. This guide introduces 26 bikeways in 12 national scenic areas in Taiwan, including 25 family-friendly routes and, in Alishan, one competition-level route. Cyclists can experience the fascinating geology of the Jinshan Hot Spring area on the North Coast along the Fengzhimen and Jinshan-Wanli bikeways, or follow a former rail line through the Old Caoling Tunnel along the Longmen-Yanliao and Old Caoling bikeways. Riders on the Yuetan and Xiangshan bikeways can enjoy the scenic beauty of Sun Moon Lake, while the natural and cultural charms of the Tri-Mountain area await along the Emei Lake Bike Path and Ershui Bikeway. This guide also introduces the Wushantou Hatta and Baihe bikeways in the Siraya National Scenic Area, the Aogu Wetlands and Beimen bikeways on the Southwest Coast, and the Round-the-Bay Bikeway at Dapeng Bay. Indigenous culture is among the attractions along the Anpo Tourist Cycle Path in Maolin and the Shimen-Changbin Bikeway, Sanxiantai Bike Route, and Taiyuan Valley Bikeway on the East Coast. -
A Case of the Ict Industry in Taiwan K
Australasian Journal of Regional Studies, Vol. 13, No. 3, 2007 325 THE IMPACT OF AGGLOMERATIVE INDUSTRIAL DYNAMIC EXTERNALITIES ON REGIONAL TECHNOLOGY GAPS: A CASE OF THE ICT INDUSTRY IN TAIWAN Ku-Hsieh (Michael) Chen Graduate Institute of Industrial Economics, Tamkang University, 151 Ying-Chuan Road, Tamsui 25137, Taipei County, TAIWAN. ABSTRACT: All other things being equal, questions arise as to whether the location of firms in distinct regions will result in variations in their technology capabilities, and what the nature of the local industrial environment is that determines regional technology gaps. This study investigates these issues from a perspective of industrial agglomerative dynamic externalities, examining the roles played by three influential assertions on regional technology gaps, namely, the Marshall-Arrow-Romer (MAR), Porter and Jacobs hypotheses. The results tend to favour the contention of Porter hypothesis on the contribution of the nature of local industrial agglomeration to the production technologies of information and computer technology (ICT) firms. 1. INTRODUCTION Over the past two decades, there has been some considerable resurgence in interest in the discussion of the phenomenon of industrial agglomeration. The attention of regional and industrial public policy has also been drawn to the successful development of so-called ‘new industrial districts’ or ‘industrial clusters’, such as the electronics industries in Silicon Valley in the US, the clothing industry in Northern Italy and the Hsin-chu Science-based Industrial Park in Taiwan. Theoretically, the agglomeration of firms would provide effects of external economic benefits. As the classic argument of Alfred Marshall (1920), the emergence and maintenance of agglomeration has at least three origins, comprising of the development of a local pool of specialized labour, the increased provision of local non-tradable specialized inputs, and the maximum flow of information and ideas (Krugman, 1991). -
Solar Radiation Estimation Algorithm and Field Verification in Taiwan
energies Article Solar Radiation Estimation Algorithm and Field Verification in Taiwan Ping-Huan Kuo 1 ID , Hsin-Chuan Chen 2 and Chiou-Jye Huang 3,* ID 1 Computer and Intelligent Robot Program for Bachelor Degree, National Pingtung University, Pingtung 90004, Taiwan; [email protected] 2 School of Computer Engineering, University of Electronic Science and Technology of China Zhongshan Institute, Zhongshan 528402, China; [email protected] 3 School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou 341000, China * Correspondence: [email protected] Received: 5 May 2018; Accepted: 22 May 2018; Published: 29 May 2018 Abstract: The power generation potential of a solar photovoltaic (PV) power generation system is closely related to the on-site solar radiation, and sunshine conditions are an important reference index for evaluating the installation of a solar PV system. Meanwhile, the long-term operation and maintenance of a PV system needs solar radiation information as a reference for system performance evaluation. Obtaining solar radiation information through the installation of irradiation monitoring stations is often very costly, and the cost of sustaining the reliability of the monitoring system, Internet stability and subsequent operation and maintenance can often be alarming. Therefore, the establishment of a solar radiation estimation model can reduce the installation of monitoring stations and decrease the cost of obtaining solar radiation information. In this study, we use an inverse distance weighting algorithm to establish the solar radiation estimation model. The model was built by obtaining information from 20 solar radiation monitoring stations in central and southern Taiwan, and field verification was implemented at Yuan Chang Township town hall and the Tainan Liujia campus. -
List of Insured Financial Institutions (PDF)
401 INSURED FINANCIAL INSTITUTIONS 2021/5/31 39 Insured Domestic Banks 5 Sanchong City Farmers' Association of New Taipei City 62 Hengshan District Farmers' Association of Hsinchu County 1 Bank of Taiwan 13 BNP Paribas 6 Banciao City Farmers' Association of New Taipei City 63 Sinfong Township Farmers' Association of Hsinchu County 2 Land Bank of Taiwan 14 Standard Chartered Bank 7 Danshuei Township Farmers' Association of New Taipei City 64 Miaoli City Farmers' Association of Miaoli County 3 Taiwan Cooperative Bank 15 Oversea-Chinese Banking Corporation 8 Shulin City Farmers' Association of New Taipei City 65 Jhunan Township Farmers' Association of Miaoli County 4 First Commercial Bank 16 Credit Agricole Corporate and Investment Bank 9 Yingge Township Farmers' Association of New Taipei City 66 Tongsiao Township Farmers' Association of Miaoli County 5 Hua Nan Commercial Bank 17 UBS AG 10 Sansia Township Farmers' Association of New Taipei City 67 Yuanli Township Farmers' Association of Miaoli County 6 Chang Hwa Commercial Bank 18 ING BANK, N. V. 11 Sinjhuang City Farmers' Association of New Taipei City 68 Houlong Township Farmers' Association of Miaoli County 7 Citibank Taiwan 19 Australia and New Zealand Bank 12 Sijhih City Farmers' Association of New Taipei City 69 Jhuolan Township Farmers' Association of Miaoli County 8 The Shanghai Commercial & Savings Bank 20 Wells Fargo Bank 13 Tucheng City Farmers' Association of New Taipei City 70 Sihu Township Farmers' Association of Miaoli County 9 Taipei Fubon Commercial Bank 21 MUFG Bank 14 -
Agriculture Landscape Planning Based on Biotop Area Factor in Yunlin, Taiwan
AGRICULTURE LANDSCAPE PLANNING BASED ON BIOTOP AREA FACTOR IN YUNLIN, TAIWAN Su-Hsin Lee1 and Jing-Shoung Hou2 1Professor, Department of Geography, National Taiwan Normal University NO.162, Heping East Rd., Section1, Taipei, Taiwan; Tel: +886-2-77341665 Email: [email protected] 2Professor, Department of Landscape Architecture at Tung-Hai University NO.20-5, Lane 128, Sec. 3 Chung-Gone Rd., Taichung 407, Taiwan; Tel: +886-4-24635298 Email: [email protected] KEY WORDS: landscape planning, agriculture, BAF ABSTRACT: Agriculture has been the primary industry in Yunlin area for hundreds years. It contributes to industrial and living landscape which continuously represents vivid cultural landscape of the area. The strategies of landscape planning in Yunlin area not only emphasis on improving landscape and environment, but also focus on sustaining agricultural culture through landscape planning. In addition, ecological consideration and adapt-for-environment land use guidelines should be applied for local environmental development in order to meet the goal of sustainable environment planning. In this case, Yunlin area’s local industries and economy can continuously develop in the process of landscape improvement considering social, economic, and ecological dimensions. The strategies demonstrate the concept of green infrastructure (G.I.). Therefore, this study uses biotope area factor (BAF) to analyse environmental resource of Yunlin area in order to contribute to agricultural landscape planning. The results show: 1)Yunlin area can be categorised into different sub-area of land use according to BAF. The categories include agriculture land, forest land, transportation land, water conservancy land, building land, public infrastructure land, recreation and leisure land, mining land, and the land for other use. -
Increased Cancers Among Residents Living in the Neighborhood of a Petrochemical Complex: a 12-Year Retrospective Cohort Study
International Journal of Hygiene and Environmental Health xxx (xxxx) xxx–xxx Contents lists available at ScienceDirect International Journal of Hygiene and Environmental Health journal homepage: www.elsevier.com/locate/ijheh Increased cancers among residents living in the neighborhood of a petrochemical complex: A 12-year retrospective cohort study Tzu-Hsuen Yuana, Yu-Cheng Shena, Ruei-Hao Shiea,b, Shou-Hung Hungc, Chen-Fang Chena, ⁎ Chang-Chuan Chana, a Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan b Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan c Department of Community and Family Medicine, National Taiwan University Hospital Yun-Lin Branch, Douliou City, Taiwan ARTICLE INFO ABSTRACT Keywords: This study investigates whether cancers are increased for residents living in the vicinity of a petrochemical Petrochemical industry complex with coal power plants and refineries. We recruited a residential cohort of 2388 long-term residents Cancer aged above 35 years in 2009–2012 who lived within a 40 km radius of the complex. We measured their internal Incidence exposure biomarkers of urinary carcinogenic metals and retrospectively compared cancer incidences between Epidemiology those who lived fewer than 10 km from the complex (high exposure, HE) and those who lived more than 10 km Resident from the complex (low exposure, LE). Residents had lived in their respective areas for 12 years, since the complex began operating in mid-1999. This included two periods of operation: 0–9 years and 10–12 years. Crude cumulative incident rates (CIRs) of all cancers were calculated for new cancer cases (ICD-9: 140–165, 170–176, 179–208) recorded in the Taiwan Health Insurance Database over total person-years at risk in each study period. -
Non Binding Translation for Convenience Only
Non binding translation 6.4 SceneryFor and convenience leisure only Scenic beauty and leisure environment surveys for this project were carried out in August 2016 and May 2017. The survey results were similar and there was not much change in the overall environment. Photos of scenic spots from the two surveys are shown in Figure 6.4-1. Provincial Highway 61 at the estuary of Provincial Highway 61 at the estuary of Old Huwei River (2016.08.18) Old Huwei River (2017.05.06) Santiaolun Fishing Harbor (2016.08.18) Santiaolun Fishing Harbor (2017.05.06) Shoal south of Santiaolun Fishing Harbor Shoal south of Santiaolun Fishing Harbor (2016.08.18) (2016.05.06) Figure 6.4-1 Photos of the project's scenic spots taken during surveys in 2016 and 2017 6-312 Non binding translation For convenience only Observation platform on the western Observation platform on the western embankment of Gangxi Village embankment of Gangxi Village (2016.08.18) (2017.05.06) On the Aogu Wetland embankment On the Aogu Wetland embankment (2016.08.18) (2017.05.06) Dongshih Fisherman's Wharf (2016.08.18) Dongshih Fisherman's Wharf (2017.05.06) Figure 6.4-1 Photos of the project's scenic spots taken during surveys in 2016 and 2017 (continued) 6.4.1 Environmental scenic beauty I. Survey and analysis of the current development site scenic beauty status The wind farm is located off the coasts of Sihu Township and Kouhu Township, Yunlin County. Provincial Highways 17 and 61 (Western Coast Expressway) and County Roadways 155, 160, 164, and 166 are the main traffic access ways along the coast of Yunlin and Chiayi. -
Sustainable Campus in Taiwan
Challenge 2008 Taiwan National Development Plan Sustainable Campus ◎ S u in Taiwan Taipei s t a i n a b l e C A movement from「HEART」 a m ◎ p A march toward a u s [sustainable Taiwan] ◎ Tainan H. Jenny Su, ScD Professor of Environmental Health Sciences National Cheng Kung University, Tainan, Taiwan Taiwan Council Member National Council for Sustainable Development Campus: the basic unit of Taiwan’s new “green island initiative”, 2000 A reflection from “Earthquake 921”, 1999 Establishing green industries – local service Network information Shaping community image sharing Promoting green industries and the coexisting network – international join venture • Campus as a Community information Environment preservation/ S deliverance u Industry simulation for Local s rescue center? t species a Cultural i Information n Green and Center Community a -Safety b ecological Network Traveling l e Center Solar and wind corridors Center C -Community generated power a m Sustaining Rainwater storage p Ecology Resource and u -Education original Center s Sustainable ecology Energy cycling -Ecology Campus Center Community Community Cultural Activity Center Local culture General Center Sports and activity preservation education facilities Center Performing Community/District arts exhibits gatherings Middle and Adult and 1999.09.21 Executive Secretary for Environmental Protection elementary school community and Education, Ministry of Education, TAIWAN education institutions Sustainable Campus Eco-City Eco-County Community Eco-Country S u s t a i n a b l e C a m Execution and Supervision p u s Green Island Sustainable Taiwan 1 Building a Sustainable Campus Funding items Sustainable site mediation for hardware renovation Top soil improvement 1. -
The Progression of Taiwan Ferret Badger Rabies from July 2013 to December 2016 Abstract Introduction Imedpub Journals
Research Article iMedPub Journals Journal of Zoonotic Diseases and Public Health 2017 http://www.imedpub.com/ Vol.1 No.1:3 The Progression of Taiwan Ferret Badger Rabies from July 2013 to December 2016 Shih TH1, Wallace R2, Tu WJ3, Wu HY4, Inoue S5, Liu JN6, Weng CJ7 and Fei CY8* 1Bureau of Animal and Plant Health Inspection and Quarantine (BAPHIQ), Council of Agriculture, Taipei, Taiwan, Republic of China 2United States Centers for Disease Control and Prevention, CDC, Atlanta, GA, USA 3Animal Health Research Institute (AHRI), Council of Agriculture, Tamsui, Taiwan, Republic of China 4College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan, Republic of China 5National Institute of Infectious Disease, Tokyo, Japan 6Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan, Republic of China 7Forestry Bureau, Council of Agriculture, Taipei, Taiwan, Republic of China 8School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan, Republic of China *Corresponding author: Fei CY, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan, Republic of China, Tel: 886-910161024; Fax: 886-2-23661475; E-mail: [email protected] Received date: November 21, 2016; Accepted date: January 02, 2017; Published date: January 09, 2017 Copyright: © 2017 Shih TH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation: Shih TH, Wallace R, Wu HY, et al. The Progression of Taiwan Ferret Badger Rabies from July 2013 to December 2016. J Zoonotic Dis Public Health. -
A Fusion Model Used in Subsidence Prediction in Taiwan
Prevention and mitigation of natural and anthropogenic hazards due to land subsidence Proc. IAHS, 372, 463–469, 2015 proc-iahs.net/372/463/2015/ Open Access doi:10.5194/piahs-372-463-2015 © Author(s) 2015. CC Attribution 3.0 License. A fusion model used in subsidence prediction in Taiwan S.-J. Wang1,a, K.-C. Hsu1,2, and C.-H. Lee1,2 1Georesources Research Center, National Cheng Kung University, Tainan, Taiwan 2Department of Resources Engineering, National Cheng Kung University, Tainan, Taiwan anow at: Georesources Research Center, NCKU, Tainan, Taiwan Correspondence to: S.-J. Wang ([email protected]) Published: 12 November 2015 Abstract. The Taiwan Water Resources Agency uses four techniques to monitor subsidence in Taiwan, namely data from leveling, global positioning system (GPS), multi-level compaction monitoring wells (MCMWs), and interferometry synthetic aperture radar (InSAR). Each data type has advantages and disadvantages and is suitable for different analysis tools. Only MCMW data provide compaction information at different depths in an aquifer system, thus they are adopted in this study. However, the cost of MCMW is high and the number of MCMW is relatively low. Leveling data are thus also adopted due to its high resolution and accuracy. MCMW data provide compaction information at different depths and the experimental data from the wells provide the physical prop- erties. These data are suitable for a physical model. Leveling data have high monitoring density in spatial domain but lack in temporal domain due to the heavy field work. These data are suitable for a black- or grey-box model. Poroelastic theory, which is known to be more conscientious than Terzaghi’s consolidation theory, is adopted in this study with the use of MCMW data. -
Application of Multiple Sensors in Monitoring Land Subsidence in Central Taiwan
12th International Conference on Hydroscience & Engineering Hydro-Science & Engineering for Environmental Resilience November 6-10, 2016, Tainan, Taiwan. Application of Multiple Sensors in Monitoring Land Subsidence in Central Taiwan Wei-Chia Hung1, Yuan-Kang Cheng2, Jyun-Jen Huang2, Fang-Cyong Chen2, Chun-Ling Kuo2, Chao-Chun Chien2, Carl Wang1 Yi-An Chen1, Huan-Chin Chiu1, Chun Chang-Lee1 1. Green Environmental Engineering Consultant Co. LTD. Hsinchu, Taiwan 2. Water Resources Agency, Ministry of Economic Affairs Taipei, Taiwan ABSTRACT significant subsidence area in 2015. The most serious subsidence area is Choushui River Alluvial Fan(CRAF), the maximum settlement rate is Over pumping of groundwater has resulted in a large-scaled land around 7.1 cm per year in 2015. In particular, THSR passes through the subsidence in Taiwan. The subsidence has already endangered the subsidence center. Land subsidence will result in a major safety operation of Taiwan High Speed Rail (THSR). How to effectively concern about THSR. How to effectively monitor subsidence has monitor land subsidence become a major issue in Taiwan. In this paper, become a major issue in Taiwan. we would like to introduce the multiple-sensors monitoring system applied to study the extent of subsidence in central Taiwan and its CRAF is the most important agricultural area in western, central mechanism, including GPS (Global Positioning System), PSI Taiwan, with elevations ranging from 0 to 100 m. CRAF covers a total 2 (Persistent Scatterer Interferometry), levelling, multi-layer compaction area of 2,000 km and is bounded by Wu River (north), Pekang Creek monitoring well, extensometer and piezometer. These sensors (south), Douliu Mound (east) and Taiwan Strait (west).