Xiangshan County, Zhejiang
Xiangshan
象山县 Siangshan | |
|---|---|
Xiangshan County in Ningbo Municipality | |
Xiangshan Location of the seat in Zhejiang | |
| Coordinates: 29°28′30″N 121°51′58″E / 29.475°N 121.866°E | |
| Country | People's Republic of China |
| Province | Zhejiang |
| Sub-provincial city | Ningbo |
| Area | |
• Total | 1,393.82 km2 (538.16 sq mi) |
| Population (2020) | |
• Total | 567,600 |
| • Density | 407.2/km2 (1,055/sq mi) |
| Time zone | UTC+8 (China Standard) |
| Website | www.xiangshan.gov.cn |
| Xiangshan | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Chinese | 象山 | ||||||||
| Postal | Siangshan | ||||||||
| |||||||||
ⓘ County (Chinese: 象山县; pinyin: Xiàngshān Xiàn) is a county in the east of Zhejiang province, China. It is under the administration of the city of Ningbo.
Administrative divisions
Subdistricts:[1]
- Dandong Subdistrict (丹东街道), Danxi Subdistrict (丹西街道), Juexi Subdistrict (爵溪街道)
Towns:
- Dingtang (定塘镇), Daxu (大徐镇), Hepu (鹤浦镇), Qiangtou (墙头镇), Shipu (石浦镇), Sizhoutou (泗洲头镇), Tuci (涂茨镇), Xinqiao (新桥镇), Xianyang (贤庠镇), Xizhou (西周镇)
Townships:
- Dongchen Township (东陈乡), Gaotangdao Township (高塘岛乡), Huangbi'ao Township (黄避岙乡), Maoyang Township (茅洋乡), Xiaotang Township (晓塘乡)
Climate
| Climate data for Xiangshan, elevation 6 m (20 ft), (1991–2020 normals, extremes 1991–present) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
| Record high °C (°F) | 26.9 (80.4) |
28.3 (82.9) |
30.5 (86.9) |
31.4 (88.5) |
34.2 (93.6) |
38.0 (100.4) |
39.7 (103.5) |
40.5 (104.9) |
36.5 (97.7) |
34.9 (94.8) |
29.2 (84.6) |
23.8 (74.8) |
40.5 (104.9) |
| Mean daily maximum °C (°F) | 10.5 (50.9) |
12.0 (53.6) |
15.7 (60.3) |
20.6 (69.1) |
25.0 (77.0) |
27.9 (82.2) |
32.7 (90.9) |
32.6 (90.7) |
28.6 (83.5) |
24.5 (76.1) |
19.0 (66.2) |
13.2 (55.8) |
21.9 (71.4) |
| Daily mean °C (°F) | 6.6 (43.9) |
7.7 (45.9) |
11.3 (52.3) |
16.0 (60.8) |
20.9 (69.6) |
24.4 (75.9) |
28.9 (84.0) |
28.8 (83.8) |
25.0 (77.0) |
20.3 (68.5) |
14.9 (58.8) |
8.8 (47.8) |
17.8 (64.0) |
| Mean daily minimum °C (°F) | 3.7 (38.7) |
4.6 (40.3) |
7.6 (45.7) |
12.2 (54.0) |
17.5 (63.5) |
21.8 (71.2) |
25.9 (78.6) |
25.9 (78.6) |
22.1 (71.8) |
17.1 (62.8) |
11.7 (53.1) |
5.5 (41.9) |
14.6 (58.4) |
| Record low °C (°F) | −7.2 (19.0) |
−4.5 (23.9) |
−2.7 (27.1) |
2.0 (35.6) |
9.1 (48.4) |
14.2 (57.6) |
17.5 (63.5) |
18.8 (65.8) |
14.7 (58.5) |
9.3 (48.7) |
−1.2 (29.8) |
−4.9 (23.2) |
−7.2 (19.0) |
| Average precipitation mm (inches) | 68.8 (2.71) |
79.7 (3.14) |
116.6 (4.59) |
106.4 (4.19) |
126.9 (5.00) |
262.0 (10.31) |
136.1 (5.36) |
203.9 (8.03) |
215.3 (8.48) |
109.0 (4.29) |
97.2 (3.83) |
67.3 (2.65) |
1,589.2 (62.58) |
| Average precipitation days (≥ 0.1 mm) | 12.5 | 12.3 | 14.6 | 13.6 | 13.0 | 18.7 | 12.2 | 13.9 | 13.8 | 8.2 | 12.5 | 10.6 | 155.9 |
| Average snowy days | 2.0 | 1.4 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8 | 4.3 |
| Average relative humidity (%) | 74 | 76 | 76 | 76 | 78 | 85 | 78 | 79 | 80 | 76 | 78 | 72 | 77 |
| Mean monthly sunshine hours | 90.1 | 92.6 | 128.3 | 141.2 | 141.3 | 87.9 | 193.7 | 198.6 | 132.5 | 137.9 | 96.7 | 111.6 | 1,552.4 |
| Percentage possible sunshine | 28 | 29 | 34 | 36 | 33 | 21 | 46 | 49 | 36 | 39 | 30 | 35 | 35 |
| Source: China Meteorological Administration[2] | |||||||||||||
| Climate data for Shipu Town, Xiangshan, elevation 128 m (420 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) | 22.3 (72.1) |
24.5 (76.1) |
26.9 (80.4) |
29.8 (85.6) |
30.6 (87.1) |
34.8 (94.6) |
38.1 (100.6) |
36.7 (98.1) |
35.0 (95.0) |
33.8 (92.8) |
28.1 (82.6) |
23.9 (75.0) |
38.1 (100.6) |
| Mean daily maximum °C (°F) | 10.0 (50.0) |
11.2 (52.2) |
14.1 (57.4) |
19.0 (66.2) |
23.3 (73.9) |
26.5 (79.7) |
30.9 (87.6) |
31.3 (88.3) |
27.9 (82.2) |
23.6 (74.5) |
18.6 (65.5) |
12.8 (55.0) |
20.8 (69.4) |
| Daily mean °C (°F) | 6.4 (43.5) |
7.3 (45.1) |
10.2 (50.4) |
14.9 (58.8) |
19.6 (67.3) |
23.1 (73.6) |
27.1 (80.8) |
27.5 (81.5) |
24.3 (75.7) |
19.9 (67.8) |
14.8 (58.6) |
9.0 (48.2) |
17.0 (62.6) |
| Mean daily minimum °C (°F) | 3.8 (38.8) |
4.7 (40.5) |
7.6 (45.7) |
12.1 (53.8) |
17.1 (62.8) |
21.0 (69.8) |
24.9 (76.8) |
25.2 (77.4) |
22.0 (71.6) |
17.4 (63.3) |
12.3 (54.1) |
6.3 (43.3) |
14.5 (58.2) |
| Record low °C (°F) | −6.4 (20.5) |
−4.6 (23.7) |
−2.3 (27.9) |
3.1 (37.6) |
8.6 (47.5) |
12.9 (55.2) |
18.9 (66.0) |
19.6 (67.3) |
14.6 (58.3) |
6.9 (44.4) |
0.2 (32.4) |
−6.4 (20.5) |
−6.4 (20.5) |
| Average precipitation mm (inches) | 71.9 (2.83) |
74.3 (2.93) |
129.9 (5.11) |
115.7 (4.56) |
129.0 (5.08) |
224.0 (8.82) |
109.4 (4.31) |
175.8 (6.92) |
176.7 (6.96) |
93.4 (3.68) |
84.1 (3.31) |
64.7 (2.55) |
1,448.9 (57.06) |
| Average precipitation days (≥ 0.1 mm) | 11.7 | 12.0 | 16.4 | 15.0 | 14.7 | 17.8 | 10.7 | 13.1 | 12.1 | 8.5 | 10.7 | 10.3 | 153 |
| Average snowy days | 2.4 | 1.8 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.8 | 5.7 |
| Average relative humidity (%) | 74 | 77 | 80 | 81 | 85 | 90 | 86 | 84 | 82 | 76 | 76 | 72 | 80 |
| Mean monthly sunshine hours | 113.7 | 107.0 | 122.5 | 140.5 | 144.1 | 115.7 | 223.3 | 217.1 | 167.3 | 169.8 | 124.6 | 131.7 | 1,777.3 |
| Percentage possible sunshine | 35 | 34 | 33 | 36 | 34 | 28 | 52 | 54 | 46 | 48 | 39 | 42 | 40 |
| Source: China Meteorological Administration[3][4] All-time Oct extreme[5] | |||||||||||||
References
- ^ "宁波市-行政区划网" (in Chinese). XZQH. Retrieved 2012-05-24.
- ^ "Experience Template" 中国气象数据网 (in Simplified Chinese). China Meteorological Administration. Retrieved 12 September 2023.
- ^ 中国气象数据网 – WeatherBk Data (in Simplified Chinese). China Meteorological Administration. Retrieved 25 June 2023.
- ^ "Experience Template" 中国气象数据网 (in Simplified Chinese). China Meteorological Administration. Retrieved 25 June 2023.
- ^ "Sina Visitor System" 【高温和降温】今天湖南浙江江西福建站点包揽高温榜前十，湖南衡南和浙江常山39℃并列第一。今天湖南溆浦、辰溪，浙江温岭、石浦、玉环打破10月最高气温纪录，有的纪录是2022年十一假期，有的纪录是今年十一假期刚创的。今天南昌和福州两个省会城市出现高温，均打破最晚高温日纪录。未来南方的高温继续以江西为中心，南昌报了6天高温，全年高温日数将达到80天，破全国省会首府直辖市全年高温日数新纪录。而且未来武汉、杭州、南昌、长沙、福州、广州也都可能出现高温，也都会打破最晚高温日纪录。而北方多地未来冷空气+阴雨，气温下滑，大幅度偏低，创立秋后新低。并且在冷空气和阴雨压制下，昼夜温差也会很小。比如明天北京预报12-13℃，天津预报15-16℃，温差只有1℃。后天石家庄9-11℃，太原7-9℃，也几乎恒温。另外哈尔滨明天最高13℃，最低3℃，可能迎来冬日，并且就此入冬。 (in Simplified Chinese). weatherman_信欣 on Weibo. Retrieved 7 October 2025.