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Province City District Longitude Latitude Population Seismic

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Province City District Longitude Latitude Population Seismic Intensity Sichuan Chengdu Jinjiang 104.08 30.67 1090422 8 Sichuan Chengdu Qingyang 104.05 30.68 828140 8 Sichuan Chengdu Jinniu 104.05 30.7 800776 8 Sichuan Chengdu Wuhou 104.05 30.65 1075699 8 Sichuan Chengdu Chenghua 104.1 30.67 938785 8 Sichuan Chengdu Longquanyi 104.27 30.57 967203 7 Sichuan Chengdu Qingbaijiang 104.23 30.88 481792 8 Sichuan Chengdu Xindu 104.15 30.83 875703 8 Sichuan Chengdu Wenqu 103.83 30.7 457070 8 Sichuan Chengdu Jintang 104.43 30.85 717227 7 Sichuan Chengdu Shaungliu 103.92 30.58 1079930 8 Sichuan Chengdu Pi 103.88 30.82 896162 8 Sichuan Chengdu Dayi 103.52 30.58 502199 8 Sichuan Chengdu Pujiang 103.5 30.2 439562 8 Sichuan Chengdu Xinjin 103.82 30.42 302199 8 Sichuan Chengdu Dujiangyan 103.62 31 957996 9 Sichuan Chengdu Pengzhou 103.93 30.98 762887 8 Sichuan Chengdu 邛崃 103.47 30.42 612753 8 Sichuan Chengdu Chouzhou 103.67 30.63 661120 8 Sichuan Zigong Ziliujin 104.77 29.35 346401 7 Sichuan Zigong Gongjin 104.72 29.35 460607 7 Sichuan Zigong Da'An 104.77 29.37 382245 7 Sichuan Zigong Yantan 104.87 29.27 272809 ≤6 Sichuan Zigong Rong 104.42 29.47 590640 7 Sichuan Zigong Fushun 104.98 29.18 826196 ≤6 Sichuan Panzihua Dong 101.7 26.55 315462 ≤6 Sichuan Panzihua Xi 101.6 26.6 151383 ≤6 Sichuan Panzihua Renhe 101.73 26.5 223459 ≤6 Sichuan Panzihua Miyi 102.12 26.88 317295 ≤6 Sichuan Panzihua Yanbian 101.85 26.7 208977 ≤6 Sichuan Luzhou Jiangyang 105.45 28.88 625227 ≤6 Sichuan Luzhou Naxi 105.37 28.77 477707 ≤6 Sichuan Luzhou Longmatan 105.43 28.9 436032 ≤6 Sichuan Luzhou Lu 105.38 29.15 565693 ≤6 Sichuan Luzhou Hejiang 105.83 28.82 875601 ≤6 Sichuan Luzhou Xuyong 105.43 28.17 688234 ≤6 Sichuan Luzhou Gulin 105.82 28.05 822990 ≤6 Sichuan Deyang Jingyang 104.38 31.13 649685 8 Sichuan Deyang Zhongjiang 104.68 31.03 720803 7 Sichuan Deyang Luojiang 104.5 31.32 244623 8 Sichuan Deyang Guanghan 104.28 30.98 593673 8 Sichuan Deyang Shifang 104.17 31.13 430773 8 Sichuan Deyang Mianzhu 104.2 31.35 513579 8 Sichuan Mianyang Fucheng 104.73 31.47 656971 8 Sichuan Mianyang Youxian 104.75 31.47 532462 8 Sichuan Mianyang Santai 105.08 31.1 867527 7 Sichuan Mianyang Yanting 105.38 31.22 606382 7 Sichuan Mianyang An 104.57 31.53 510203 8 Sichuan Mianyang Zitong 105.17 31.63 379878 7 Sichuan Mianyang Beichuan 104.45 31.82 160528 8 Sichuan Mianyang Pinwu 104.53 32.42 286957 ≤6 Sichuan Mianyang Jiangyou 104.75 31.78 878575 8 Sichuan Guangyuan Zhong 105.05 29.58 538533 7 Sichuan Guangyuan Yuanba 105.97 32.32 242320 7 Sichuan Guangyuan Chaotian 105.88 32.65 207840 7 Sichuan Guangyuan Wangcang 106.28 32.23 454728 7 Sichuan Guangyuan Qingchuan 105.23 32.58 247953 8 Sichuan Guangyuan Jiange 105.52 32.28 675023 7 Sichuan Guangyuan Cangxi 105.93 31.73 778000 7 Sichuan Suining Chuanshan 105.57 30.52 777038 7 Sichuan Suining Anju 105.45 30.35 924690 7 Sichuan Suining Pengxi 105.72 30.78 761081 7 Sichuan Suining Shehong 105.38 30.87 610668 7 Sichuan Suining Daying 105.25 30.58 663406 7 Sichuan Neijiang Zhong 105.05 29.58 538533 7 Sichuan Neijiang Dongxing 105.07 29.6 867740 7 Sichuan Neijiang Weiyuan 104.67 29.53 744963 7 Sichuan Neijiang Zizhong 104.85 29.78 814640 7 Sichuan Neijiang Long 105.28 29.35 772453 ≤6 Sichuan Neijiang Zhong 105.05 29.58 575479 7 Sichuan Leshan Zhong 103.77 29.57 575479 7 Sichuan Leshan Shawan 103.55 29.42 196628 7 Sichuan Leshan Wutongqiao 103.82 29.4 325562 7 Sichuan Leshan Jinkouhe 103.08 29.25 153803 7 Sichuan Leshan Jianwei 103.95 29.22 570938 7 Sichuan Leshan Jinyan 104.07 29.65 414493 7 Sichuan Leshan Jiajiang 103.57 29.73 350415 7 Sichuan Leshan Muchuan 103.9 28.97 257884 7 Sichuan Leshan E'Bian 103.27 29.23 146444 7 Sichuan Leshan Mabian 103.55 28.83 197913 7 Sichuan Leshan E'Meishan 103.48 29.6 434990 7 Sichuan Nanchong Shunqin 106.08 30.78 635999 ≤6 Sichuan Nanchong Gaopin 106.1 30.77 585769 ≤6 Sichuan Nanchong Jialing 106.05 30.77 691489 ≤6 Sichuan Nanchong Nanbu 106.07 31.35 775748 7 Sichuan Nanchong Yinshan 106.57 31.08 926940 ≤6 Sichuan Nanchong Peng'An 106.42 31.03 702336 ≤6 Sichuan Nanchong Yilong 106.28 31.27 688266 7 Sichuan Nanchong Xichong 105.88 31 643818 7 Sichuan Nanchong Langzhong 106 31.55 870708 7 Sichuan Meishan Dongpo 103.83 30.05 840909 7 Sichuan Meishan Renshou 104.15 30 571112 7 Sichuan Meishan Pengshan 103.87 30.2 329777 7 Sichuan Meishan Hongya 103.37 29.92 343321 8 Sichuan Meishan Danleng 103.52 30.02 163032 8 Sichuan Meishan Qingshen 103.85 29.83 197029 7 Sichuan Yibin Cuipin 104.62 28.77 791131 ≤6 Sichuan Yibin Yibing 104.55 28.7 702663 ≤6 Sichuan Yibin Nanxi 104.98 28.85 412575 ≤6 Sichuan Yibin Jiang'An 105.07 28.73 542916 ≤6 Sichuan Yibin Changning 104.92 28.58 438434 ≤6 Sichuan Yibin Gaopin 104.52 28.43 516375 ≤6 Sichuan Yibin Gong 104.72 28.45 417958 ≤6 Sichuan Yibin Junlian 104.52 28.17 399850 ≤6 Sichuan Yibin Xingwen 105.23 28.3 448901 ≤6 Sichuan Yibin Pinshan 104.33 28.83 299032 7 Sichuan Guang'an Yuechi 106.43 30.55 876406 ≤6 Sichuan Guang'an Wusheng 106.28 30.35 838156 ≤6 Sichuan Guang'an Linshui 106.93 30.33 704953 ≤6 Sichuan Guang'an Huaying 106.77 30.38 353618 ≤6 Sichuan Dazhou Tongchuan 107.48 31.22 478276 ≤6 Sichuan Dazhou Da 107.5 31.2 811159 ≤6 Sichuan Dazhou Xuanhan 107.72 31.35 706826 ≤6 Sichuan Dazhou Kaijaing 107.87 31.08 430878 ≤6 Sichuan Dazhou Dazhu 107.2 30.73 876884 ≤6 Sichuan Dazhou Qu 106.97 30.83 856476 ≤6 Sichuan Dazhou Wanyuan 108.03 32.07 407593 ≤6 Sichuan Ya'an Yucheng 103 29.98 343479 8 Sichuan Ya'an Minshan 103.12 30.08 362398 8 Sichuan Ya'an Yingjing 102.85 29.8 143462 8 Sichuan Ya'an Hanyuan 102.65 29.35 351246 8 Sichuan Ya'an Shimian 102.37 29.23 127234 8 Sichuan Ya'an Tianquan 102.75 30.07 152346 9 Sichuan Ya'an Lushan 102.92 30.15 127258 9 Sichuan Ya'an Baoxing 102.82 30.37 63647 1≤6 Sichuan Bazhong Bazhou 106.77 31.85 932929 ≤6 Sichuan Bazhong Tongjiang 107.23 31.92 740664 ≤6 Sichuan Bazhong Nanjiang 106.83 32.35 659053 7 Sichuan Bazhong Pingchang 107.1 31.57 909548 ≤6 Sichuan Ziyang Yanjiang 104.65 30.12 805729 7 Sichuan Ziyang Anyue 105.33 30.1 641347 7 Sichuan Ziyang Lezhi 105.02 30.28 546773 7 Sichuan Ziyang Jianyang 104.55 30.4 571215 7 Sichuan A'ba Wenchuan 103.58 31.48 105436 11 Sichuan A'ba Li 103.17 31.43 145054 9 Sichuan A'ba Mao 103.85 31.68 109361 11 Sichuan A'ba Songpan 103.6 32.63 71960 8 Sichuan A'ba Jiuzhaigou 104.23 33.27 63619 8 Sichuan A'ba Jinchuan 102.07 31.48 71071 7 Sichuan A'ba Xiaojin 102.37 31 79982 8 Sichuan A'ba Heishui 102.98 32.07 58972 8 Sichuan A'ba Ma'Erkang 102.22 31.9 54390 7 Sichuan A'ba Rangtang 100.98 32.27 35021 ≤6 Sichuan A'ba A'Ba 101.7 32.9 66526 7 Sichuan A'ba Ruo'Ergai 102.95 33.58 71850 7 Sichuan A'ba Hongyuan 102.55 32.8 40583 7 Sichuan Ganzi Kangding 101.97 30.05 109590 8 Sichuan Ganzi Luding 102.23 29.92 82158 9 Sichuan Ganzi Danba 101.88 30.88 59055 8 Sichuan Ganzi Jiulong 101.5 29 58610 8 Sichuan Ganzi Ya'An 101.02 30.03 44731 7 Sichuan Ganzi Daofu 101.12 30.98 49634 7 Sichuan Ganzi Luhuo 100.68 31.4 42331 7 Sichuan Ganzi Ganzi 99.98 31.62 59200 ≤6 Sichuan Ganzi Xinlong 100.32 30.95 44075 ≤6 Sichuan Ganzi Dege 98.58 31.82 70184 ≤6 Sichuan Ganzi Baiyu 98.83 31.22 43900 ≤6 Sichuan Ganzi Shiqu 98.1 32.98 65886 ≤6 Sichuan Ganzi Seda 100.33 32.27 40197 ≤6 Sichuan Ganzi Litang 100.27 30 53208 7 Sichuan Ganzi Batang 99.1 30 48311 ≤6 Sichuan Ganzi Xiangcheng 99.8 28.93 28527 ≤6 Sichuan Ganzi Daocheng 100.3 29.03 29954 7 Sichuan Ganzi Derong 99.28 28.72 25077 ≤6 Sichuan Liangshan Xichang 102.27 27.9 604492 7 Sichuan Liangshan Muli 101.28 27.93 130764 7 Sichuan Liangshan Yanyuan 101.5 27.43 350677 7 Sichuan Liangshan Dechang 102.18 27.4 197717 ≤6 Sichuan Liangshan Huili 102.25 26.67 454934 ≤6 Sichuan Liangshan Huidong 102.58 26.63 385923 ≤6 Sichuan Liangshan Ningnan 102.77 27.07 182885 ≤6 Sichuan Liangshan Puge 102.53 27.38 148252 ≤6 Sichuan Liangshan Butuo 102.82 27.72 150620 7 Sichuan Liangshan Jinyang 103.25 27.7 155320 ≤6 Sichuan Liangshan Zhaojue 102.85 28.02 257329 7 Sichuan Liangshan Xide 102.42 28.32 179075 7 Sichuan Liangshan Mianning 102.17 28.55 352805 7 Sichuan Liangshan Yuexi 102.52 28.65 294525 7 Sichuan Liangshan Ganluo 102.77 28.97 193544 7 Sichuan Liangshan Meigu 103.13 28.33 207384 7 Sichuan Liangshan Leibo 103.57 28.27 237797 7.
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    INTEGRATED SAFEGUARDS DATA SHEET CONCEPT STAGE Report No.: AC3902 Public Disclosure Authorized Date ISDS Prepared/Updated: 10/30/2008 I. BASIC INFORMATION A. Basic Project Data Country: China Project ID: P114107 Project Name: Wenchuan Earthquake Recovery Task Team Leader: Mara K. Warwick Estimated Appraisal Date: November 13, Estimated Board Date: December 16, 2008 2008 Managing Unit: EASCS Lending Instrument: Emergency Recovery Public Disclosure Authorized Loan Sector: General water, sanitation and flood protection sector (44%);Roads and highways (39%);Health (13%);General education sector (4%) Theme: Natural disaster management (P);Pollution management and environmental health (S);Access to urban services and housing (S) IBRD Amount (US$m.): 710.00 IDA Amount (US$m.): 0.00 GEF Amount (US$m.): 0.00 PCF Amount (US$m.): 0.00 Other financing amounts by source: Borrower 30.00 30.00 Public Disclosure Authorized B. Project Objectives [from section 2 of PCN] To restore essential infrastructure, health, and education services to at least pre-earthquake levels and reduce vulnerability to seismic and flood hazards in project areas. C. Project Description [from section 3 of PCN] The proposed emergency recovery loan (ERL) will span Sichuan and Gansu provinces and will be processed using a programmatic approach, which will include the following key areas: (a) identification, selection, and appraisal of individual investment projects, including technical standards; (b) safeguards; (c) procurement; (d) financial management; and (e) monitoring and evaluation. During preparation, frameworks will be developed to guide the selection, appraisal and implementation of the individual investments during project implementation. Public Disclosure Authorized The components of the ERL cover three main sectors: infrastructure, health and education.
  • Challenges and Countermeasures of Tourism

    Challenges and Countermeasures of Tourism

    International Conference on Social Science and Technology Education (ICSSTE 2015) Challenges and Countermeasures of Regional Tourism Cooperation Development Strategy of Sichuan-Shanxi-Gansu Golden Triangle Area，Western China Qin Jianxiong1 Zhang Minmin1 1 College of tourism and historic culture, Southwest University For Natianalities, Chengdu, 610041 Abstract visitors can explore in this line up and down five SSGGTA triangle of three provinces , dependent thousand years of culture, enjoy the mystery of Qinba [1] landscape, folk customs are similar, for the first time landscape . These tourism resources in Chongqing, since the 2002 held in Bazhong of SSGGTA triangle area Chengdu, Xi'an, Lanzhou, Wuhan five source among SSGGTA triangle tourism cooperation zone is composed tourism cooperation will be signed in SSGGTA triangle of Sichuan Bazhong, Guangyuan, Dazhou and Shanxi tourism, build "Golden Triangle" cooperation agreement, Hanzhoung, Ankang three provinces and five to 2005 has successively held 3 annual meeting. The goal municipalities, carry out cooperation in the past 3 years, of cooperation is through the sincere cooperation of the three provinces and five municipalities in the propaganda, three provinces, the formation of regional tourism build mutual interaction, line group, strategic planning collaboration regular contact system, the characteristics of consensus interaction and so on has made significant tourism products, the formation of regional joint progress, regional cooperation has been fully affirmed the promotion,a barrier free Tourism Zone, to realize the two provincial government and support. Sichuan North Sichuan area has been the focus of tourism development sustainable development of Shanxi tourism in Golden in the province, tourism development, Shanxi will also Triangle.
  • Discovering Discrepancies in Numerical Libraries

    Discovering Discrepancies in Numerical Libraries

    Discovering Discrepancies in Numerical Libraries Jackson Vanover Xuan Deng Cindy Rubio-González University of California, Davis University of California, Davis University of California, Davis United States of America United States of America United States of America [email protected] [email protected] [email protected] ABSTRACT libraries aim to offer a certain level of correctness and robustness in Numerical libraries constitute the building blocks for software appli- their algorithms. Specifically, a discrete numerical algorithm should cations that perform numerical calculations. Thus, it is paramount not diverge from the continuous analytical function it implements that such libraries provide accurate and consistent results. To that for its given domain. end, this paper addresses the problem of finding discrepancies be- Extensive testing is necessary for any software that aims to be tween synonymous functions in different numerical libraries asa correct and robust; in all application domains, software testing means of identifying incorrect behavior. Our approach automati- is often complicated by a deficit of reliable test oracles and im- cally finds such synonymous functions, synthesizes testing drivers, mense domains of possible inputs. Testing of numerical software and executes differential tests to discover meaningful discrepan- in particular presents additional difficulties: there is a lack of stan- cies across numerical libraries. We implement our approach in a dards for dealing with inevitable numerical errors, and the IEEE 754 tool named FPDiff, and provide an evaluation on four popular nu- Standard [1] for floating-point representations of real numbers in- merical libraries: GNU Scientific Library (GSL), SciPy, mpmath, and herently introduces imprecision. As a result, bugs are commonplace jmat.