Zhouqu County
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Zhouqu County
舟曲县 · འབྲུག་ཆུ་རྫོང་། Zhugqu, Zhugchu | |
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.png) Zhugqu County (pink) within Gannan Prefecture (yellow) and Gansu | |
  Zhugqu Location of the seat in Gansu  Zhugqu Zhugqu (China) | |
| Coordinates (Zhouqu government): 33°47′37″N 104°15′05″E / 33.7936°N 104.2513°E | |
| Country | China |
| Province | Gansu |
| Autonomous prefecture | Gannan |
| County seat | Chengguan (Chêngoin) |
| Area | |
• Total | 3,010 km2 (1,160 sq mi) |
| Population (2020)[1] | |
• Total | 125,367 |
| • Density | 41.7/km2 (108/sq mi) |
| Time zone | UTC+8 (China Standard) |
| Postal code | 746300 |
| Website | www |
| Zhouqu County | |||||||
|---|---|---|---|---|---|---|---|
| Chinese name | |||||||
| Simplified Chinese | 舟曲县 | ||||||
| Traditional Chinese | 舟曲縣 | ||||||
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| Tibetan name | |||||||
| Tibetan | འབྲུག་ཆུ་རྫོང་། | ||||||
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Zhugqu County[2][3] (Tibetan: འབྲུག་ཆུ་རྫོང་།), Zhugchu[3] or Zhouqu (Chinese: 舟曲县) is a county in the eastern extremity of the Gannan Tibetan Autonomous Prefecture in the south of Gansu Province, China, with the Bailong River flowing through its confines; it borders Sichuan province to the south. In 2010 its population was 134,000 people.[4]
The word "Zhugqu" derived from the Tibetan name of Bailong River.[5]
2010 mudslide
[edit]On 8 August 2010, deadly mudflows caused by torrential rain struck the county and killed at least 1,471 people.[4][6] It has been said by some experts; such as Professor Fan Xiao, a Sichuan-based geologist; that the scale of the disaster was affected by deforestation and the construction of dams for hydro-electricity in the area.[7]
According to historical records, Chengguan Town has been struck by 11 "devastating" mudflows since 1823.[7]
Administrative divisions
[edit]Zhouqu County is divided to 15 towns and 4 townships.[8]
| Name | Simplified Chinese | Hanyu Pinyin | Tibetan | Wylie | Administrative division code | |
|---|---|---|---|---|---|---|
| Towns | ||||||
| Chengguan Town (Chêngoin) |
城关镇 | Liǔlín Zhèn | ཁྲེན་ཀོན་གྲོང་རྡལ། | khren kon grong rdal | 623023100 | |
| Dachuan Town (Dachoin) |
大川镇 | Dàchuān Zhèn | ཏ་ཁྲོན་གྲོང་རྡལ། | ta khron grong rdal | 623023101 | |
| Fengdie Town (Bündie) |
峰迭镇 | Fēngdié Zhèn | སྦུན་ཏིའེ་གྲོང་རྡལ། | sbun tiʼe grong rdal | 623023102 | |
| Luzê Town (Lijie) |
立节镇 | Lìjié Zhèn | གླུ་རྩེད་གྲོང་རྡལ། | glu rtsed grong rdal | 623023103 | |
| Dongshan Town (Dungshain) |
东山镇 | Dōngshān Zhèn | ཏུང་ཧྲན་གྲོང་རྡལ། | tung hran grong rdal | 623023104 | |
| Qugarna Town (Qugaona) |
曲告纳镇 | Qūgàonà Zhèn | ཆུ་གར་ན་གྲོང་རྡལ། | chu gar na grong rdal | 623023105 | |
| Poiyü Town (Boyü, Boyu) |
博峪镇 | Bóyù Zhèn | བོད་ཡུལ་གྲོང་རྡལ། | bod yul grong rdal | 623023106 | |
| Bazong Town (Bazang) |
巴藏镇 | Bāzàng Zhèn | སྦྲ་རྫོང་གྲོང་རྡལ། | sbra rdzong grong rdal | 623023107 | |
| Hanban Town (Hainbain) |
憨班镇 | Hānbān Zhèn | ཧན་པན་གྲོང་རྡལ། | han pan grong rdal | 623023108 | |
| Pingding Town (Pinding) |
坪定镇 | Píngdìng Zhèn | ཕིན་ཏིང་གྲོང་རྡལ། | phin ting grong rdal | 623023109 | |
| Goye Town (Goyai) |
果耶镇 | Guǒyē Zhèn | སྒོ་གཡས་གྲོང་རྡལ། | sgo g.yas grong rdal | 623023110 | |
| Wuping Town (Wupin) |
武坪镇 | Wǔpíng Zhèn | ཝུའུ་ཕིན་གྲོང་རྡལ། | wuʼu phin grong rdal | 623023111 | |
| Dagyü Town (Dayu) |
大峪镇 | Dàyù Zhèn | སྟག་ཡུལ་གྲོང་རྡལ། | stag yul grong rdal | 623023112 | |
| Jiangpan Town (Jangpain) |
江盘镇 | Jiāngpán Zhèn | ཅང་ཕན་གྲོང་རྡལ། | cang phan grong rdal | 623023113 | |
| Gongba Town | 拱坝镇 | Gǒngbà Zhèn | ཀོང་པ་གྲོང་རྡལ། | kong pa grong rdal | 623023114 | |
| Townships | ||||||
| Quwar Township (Quwa) |
曲瓦乡 | Qūwǎ Xiāng | ཆུ་བར་ཤང་། | chu bar shang | 623023200 | |
| Nanyu Township (Nainyü) |
南峪乡 | Nányù Xiāng | ནན་ཡུས་ཤང་། | nan yus shang | 623023208 | |
| Baleng Township (Balêng) |
八楞乡 | Bāléng Xiāng | པ་ལེང་ཤང་། | pa leng shang | 623023210 | |
| Chagang Township (Qabgo) |
插岗乡 | Chāgǎng Xiāng | ཁྲ་ཀང་ཤང་། | khra kang shang | 623023212 | |
Climate
[edit]| Climate data for Zhouqu, elevation 1,329 m (4,360 ft), (1991–2020 normals, extremes 1981–present) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
| Record high °C (°F) | 16.5 (61.7) |
25.3 (77.5) |
29.0 (84.2) |
32.9 (91.2) |
35.3 (95.5) |
38.2 (100.8) |
38.1 (100.6) |
38.0 (100.4) |
36.0 (96.8) |
27.9 (82.2) |
22.9 (73.2) |
20.6 (69.1) |
38.2 (100.8) |
| Mean daily maximum °C (°F) | 6.9 (44.4) |
10.6 (51.1) |
15.7 (60.3) |
21.4 (70.5) |
25.0 (77.0) |
28.1 (82.6) |
30.1 (86.2) |
29.2 (84.6) |
24.1 (75.4) |
18.6 (65.5) |
13.7 (56.7) |
8.3 (46.9) |
19.3 (66.8) |
| Daily mean °C (°F) | 2.1 (35.8) |
5.5 (41.9) |
10.1 (50.2) |
15.1 (59.2) |
18.6 (65.5) |
21.9 (71.4) |
24.1 (75.4) |
23.4 (74.1) |
19.0 (66.2) |
13.9 (57.0) |
8.5 (47.3) |
3.0 (37.4) |
13.8 (56.8) |
| Mean daily minimum °C (°F) | −1.7 (28.9) |
1.4 (34.5) |
5.7 (42.3) |
10.2 (50.4) |
13.7 (56.7) |
17.2 (63.0) |
19.6 (67.3) |
19.1 (66.4) |
15.5 (59.9) |
10.6 (51.1) |
4.8 (40.6) |
−0.8 (30.6) |
9.6 (49.3) |
| Record low °C (°F) | −9.0 (15.8) |
−6.5 (20.3) |
−4.6 (23.7) |
−0.5 (31.1) |
3.7 (38.7) |
9.3 (48.7) |
13.5 (56.3) |
11.8 (53.2) |
7.3 (45.1) |
0.0 (32.0) |
−4.5 (23.9) |
−9.6 (14.7) |
−9.6 (14.7) |
| Average precipitation mm (inches) | 1.9 (0.07) |
3.4 (0.13) |
14.4 (0.57) |
32.5 (1.28) |
57.3 (2.26) |
64.7 (2.55) |
70.5 (2.78) |
72.0 (2.83) |
59.2 (2.33) |
47.9 (1.89) |
6.1 (0.24) |
0.5 (0.02) |
430.4 (16.95) |
| Average precipitation days (≥ 0.1 mm) | 2.7 | 3.2 | 8.5 | 11.5 | 15.2 | 14.5 | 12.7 | 12.5 | 13.5 | 13.8 | 4.5 | 1.1 | 113.7 |
| Average snowy days | 5.4 | 3.5 | 1.0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.6 | 2.2 | 12.8 |
| Average relative humidity (%) | 53 | 52 | 53 | 54 | 58 | 60 | 63 | 65 | 70 | 71 | 63 | 55 | 60 |
| Mean monthly sunshine hours | 135.8 | 121.6 | 143.8 | 168.7 | 178.7 | 163.3 | 184.4 | 180.5 | 117.0 | 112.6 | 126.5 | 143.0 | 1,775.9 |
| Percentage possible sunshine | 43 | 39 | 38 | 43 | 41 | 38 | 42 | 44 | 32 | 32 | 41 | 47 | 40 |
| Source: China Meteorological Administration[9][10]all-time July record[11] | |||||||||||||
See also
[edit]References
[edit]- ↑ "甘南州第七次全国人口普查公报" (in Chinese). Government of Gannan Prefecture. 27 May 2021. Archived from the original on 8 October 2021. Retrieved 11 August 2023.
- ↑ Fang, Aiqing (2 August 2018). "Answering a higher call". China Daily.
- 1 2 陈观胜 [Chen Guansheng]; 安才旦 [An Caidan] (2004). 《汉英藏对照常见藏语人名地名词典》 [Dictionary of Common Tibetan Personal and Place Names]. Beijing: Foreign Languages Press. p. 372. ISBN 7-119-03497-9.
- 1 2 Wivell, David (13 August 2010). "Relentless rain piles on misery in China". NBC News. Associated Press (AP). Retrieved 15 August 2010.[dead link]
- ↑ Government of Zhugqu County. "舟曲历史文化".
- ↑ Deng, Shasha (2 September 2010). "Death toll from NW China mudslides rises to 1,471; 294 still missing". Xinhua. Archived from the original on 5 September 2010. Retrieved 5 May 2014.
- 1 2 Wang Zhicheng (10 August 2010), "Dam building and deforestation, more than "natural" causes behind the Gansu disaster", Asian news.it, retrieved 4 May 2014,
In more than 40 years, 126,000 hectares of forests have disappeared. More than 150 dams were built on local rivers with no regards for the local hydro-geological structure.
- ↑ "2022年统计用区划代码和城乡划分代码：舟曲县" (in Chinese). National Bureau of Statistics of China.
- ↑ 中国气象数据网 – WeatherBk Data (in Simplified Chinese). China Meteorological Administration. Retrieved 27 August 2023.
- ↑ "Experience Template" 中国气象数据网 (in Simplified Chinese). China Meteorological Administration. Retrieved 27 August 2023.
- ↑ "Sina Visitor System" 【高温】之前导致新疆极强高温的暖脊东移，今天新疆的热度下降，青海甘肃陕西山西热度提升。今天高温榜前十，被陕西山西内蒙古站点包揽。部分地区气温打破同期纪录。甘肃舟曲38.1℃破7月最高纪录；陕西华阴、甘肃兰州、靖远、四川九寨沟、丹棱、洪雅、青海民和打破当地7月上旬最高纪录。 今天有7个省会、直辖市出现高温。兰州39.5℃、西安泾河39.3℃、成都温江37.4℃，创今年气温新高；重庆沙坪坝38.6℃，平今年以来最高。西宁34.2℃，创新高，差点高温。未来中西部的高温范围较大，而东部地区未来随着台风巴威到来，高温可能缩减。比如已经连续8天高温的福州，再来2天高温，11日高温就会中断。 而西安明后2天高温依然凶猛，还有可能冲击40℃。而重庆本轮高温，未来暂时看不到尽头。尽管目前重庆在高温日数榜上落后海口34天，但不出意外的话，等8月过完再看，重庆应该会反超海口。此外未来闷热天气也会向北蔓延。通常有台风登陆东南沿海，说明副热带高压会北上，湿热空气也会北上。 未来4天，郑州最低气温都是28℃，白天还有35℃以上高温，如同大暑期间长江中下游的高温，白天烤、晚上蒸。不仅是郑州，未来济南、西安、石家庄、天津，最低气温也有报出27-28℃的情况。 (in Simplified Chinese). weatherman_信欣 on Weibo. Retrieved 8 July 2026.
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- Harvard University Committee on the Environment (1999). "China County & City Population 1999 FAQ". Archived from the original on 9 January 2016.
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