Tropical Geography ›› 2020, Vol. 40 ›› Issue (3): 446-454.doi: 10.13284/j.cnki.rddl.003251
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Li Zimo1(), Chen Danyang2, Wang Xiaowei3(
)
Received:
2019-08-15
Revised:
2019-11-14
Online:
2020-05-31
Published:
2020-06-30
Contact:
Wang Xiaowei
E-mail:zglzm1989@163.com;wxw_sd1@163.com
CLC Number:
Li Zimo, Chen Danyang, Wang Xiaowei. Spatial-Temporal Characteristics, Danger Simulation, and Boundary Detection of Malaria during the Qing Dynasty (1644‒1911)[J].Tropical Geography, 2020, 40(3): 446-454.
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Table 1
Basic information of malaria in the Qing Dynasty"
序号 | 帝纪 | 年份 | 古地名 | 今地名 | 季节 | 月份 | 疫种 | 疫因 | 疫情 | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
省份 | 府州 | 县名 | 省市 | 地市 | 县区 | |||||||||
01 | 乾隆五十八年 | 1793 | 江西 | 吉安府 | 莲花厅 | 江西 | 萍乡市 | 莲花县 | 秋 | — | 疟疾 | — | 秋,疟疾流行。 | |
02 | 嘉庆二十年 | 1815 | 直隶 | 广平府 | 曲周县 | 河北 | 邯郸市 | 曲周县 | — | — | 疟疾 | 大热 | 岁大热,疟疾遍野 | |
03 | 道光十九年 | 1839 | 山东 | 曹州府 | 单县 | 山东 | 菏泽市 | 单县 | 秋 | 八月 | 疟疾 | 水灾 | 秋大水,八月多疟疾。 | |
04 | 同治十二年 | 1873 | 直隶 | 河间府 | 景州 | 河北 | 衡水市 | 景县 | 夏秋 | — | 疟疾 | 旱灾 | 大旱,自夏历秋,人多疟疾。 | |
05 | 光绪十年 | 1884 | 江苏 | 松江府 | 上海县 | 上海 | 上海市 | 闵行区 | 秋 | 七月 | 疟疾 | — | 七月,疟疾流行。 |
Table 2
Interpretation of the indicators of the basic environmental data in the Qing Dynasty"
基础数据 | 指标 | 单位 | 指标释义 |
---|---|---|---|
地理环境要素 | 海拔高程 | m | 反映海拔高度差异 |
河网密度 | km/km2 | 反映河流影响差异 | |
距海距离 | km | 反映海洋影响差异 | |
气候环境要素 | 年均气温 | ℃ | 反映平均气温变幅 |
最高气温 | 反映极端高温影响 | ||
最低气温 | 反映极端低温影响 | ||
暖季温度 | 反映极端温度影响 | ||
冷季温度 | 反映极端温度影响 | ||
湿季温度 | 反映雨热同期影响 | ||
干季温度 | 反映雨热同期影响 | ||
温度季节性 | 反映温度变异影响 | ||
气温年较差 | 反映温差变异影响 | ||
年均降水 | mm | 反映平均降水变幅 | |
暖季降水 | 反映雨热同期影响 | ||
冷季降水 | 反映雨热同期影响 | ||
湿季降水 | 反映极端降水影响 | ||
干季降水 | 反映极端降水影响 | ||
湿月降水 | 反映极端降水影响 | ||
干月降水 | 反映极端降水影响 | ||
降水季节性 | 反映降水变异影响 | ||
日照时数 | h | 反映太阳光照差异 |
Table 4
The statistical of malaria epidemic seasons, counties and areas in the Qing Dynasty"
疟疾流行年份 | 疟疾流行季节 | 疟疾县数/个 | 疟疾面积/万km2 | ||||
---|---|---|---|---|---|---|---|
春 | 夏 | 秋 | 冬 | NA | |||
合计 | 6 | 80 | 141 | 12 | 30 | 210 | 34.04 |
1652 | 2 | 2 | 0.57 | ||||
1653 | 2 | 2 | 0.57 | ||||
1655 | 1 | 1 | 0.18 | ||||
1671 | 1 | 1 | 1 | 0.16 | |||
1672 | 3 | 3 | 0.21 | ||||
1673 | 1 | 1 | 0.09 | ||||
1685 | 2 | 2 | 0.14 | ||||
1712 | 2 | 2 | 0.50 | ||||
1734 | 1 | 1 | 0.15 | ||||
1741 | 2 | 2 | 1.19 | ||||
1767 | 2 | 2 | 0.54 | ||||
1786 | 1 | 1 | 0.05 | ||||
1787 | 1 | 1 | 1 | 0.27 | |||
1793 | 1 | 1 | 0.08 | ||||
1805 | 1 | 1 | 0.12 | ||||
1811 | 1 | 1 | 0.12 | ||||
1813 | 1 | 1 | 0.12 | ||||
1814 | 6 | 6 | 0.52 | ||||
1815 | 1 | 15 | 15 | 1.63 | |||
1816 | 1 | 1 | 1 | 0.10 | |||
1833 | 1 | 1 | 1 | 1 | 0.22 | ||
1839 | 2 | 2 | 0.33 | ||||
1846 | 1 | 1 | 1 | 0.36 | |||
1861 | 1 | 1 | 1 | 0.42 | |||
1862 | 2 | 2 | 0.56 | ||||
1865 | 1 | 1 | 1 | 3 | 0.56 | ||
1866 | 2 | 2 | 0.50 | ||||
1869 | 1 | 1 | 0.66 | ||||
1872 | 1 | 1 | 0.15 | ||||
1873 | 1 | 2 | 2 | 1 | 1 | 3 | 0.26 |
1875 | 1 | 1 | 0.27 | ||||
1877 | 9 | 9 | 1 | 10 | 0.58 | ||
1879 | 1 | 2 | 3 | 4 | 1.41 | ||
1880 | 1 | 1 | 1 | 1 | 3 | 0.62 | |
1881 | 2 | 4 | 6 | 1.04 | |||
1882 | 3 | 5 | 5 | 0.48 | |||
1883 | 2 | 8 | 8 | 2.01 | |||
1884 | 2 | 5 | 5 | 1 | 7 | 0.90 | |
1885 | 2 | 2 | 4 | 0.37 | |||
1886 | 1 | 3 | 4 | 0.53 | |||
1887 | 4 | 3 | 6 | 0.90 | |||
1888 | 2 | 2 | 2 | 0.35 | |||
1889 | 1 | 2 | 3 | 0.63 | |||
1890 | 2 | 2 | 4 | 7 | 1.24 | ||
1892 | 2 | 2 | 0.14 | ||||
1893 | 2 | 16 | 3 | 19 | 3.20 | ||
1894 | 8 | 8 | 2 | 13 | 1.47 | ||
1895 | 1 | 6 | 6 | 1.01 | |||
1896 | 2 | 6 | 6 | 0.46 | |||
1897 | 3 | 5 | 1 | 6 | 1.18 | ||
1898 | 4 | 6 | 6 | 0.47 | |||
1899 | 1 | 1 | 2 | 0.52 | |||
1900 | 4 | 4 | 0.56 | ||||
1901 | 6 | 6 | 0.41 | ||||
1902 | 1 | 1 | 1 | 0.51 | |||
1903 | 1 | 1 | 0.43 | ||||
1904 | 2 | 2 | 2 | 0.21 | |||
1910 | 1 | 1 | 0.40 | ||||
1911 | 1 | 1 | 0.40 |
Table 5
The known distribution and the forecast risk grade of malaria in the Qing Dynasty"
省区 | 已知疟疾分布 | 预测疟疾危险等级面积占比/% | |||||
---|---|---|---|---|---|---|---|
县数/个 | 面积/万km2 | 低危 | 中危 | 高危 | 特危 | ||
河北 | 15 | 2.19 | 24.16 | 46.78 | 10.57 | 18.49 | |
辽宁 | 64.33 | 32.90 | 1.17 | 1.60 | |||
吉林 | 84.00 | 16.00 | 0 | 0 | |||
黑龙江 | 95.58 | 4.42 | 0 | 0 | |||
山东 | 18 | 2.06 | 0 | 4.51 | 41.20 | 54.29 | |
山西 | 3 | 1.02 | 52.56 | 34.12 | 12.26 | 1.06 | |
河南 | 17 | 1.99 | 0 | 3.87 | 32.96 | 63.17 | |
陕西 | 40.22 | 52.84 | 6.92 | 0.02 | |||
甘肃 | 95.17 | 4.76 | 0.05 | 0.02 | |||
内蒙古 | 95.04 | 4.96 | 0 | 0 | |||
青海 | 100.00 | 0 | 0 | 0 | |||
新疆 | 99.71 | 0.29 | 0 | 0 | |||
江苏 | 61 | 5.80 | 0 | 0 | 14.35 | 85.65 | |
安徽 | 7 | 1.00 | 0 | 3.04 | 20.47 | 76.49 | |
江西 | 7 | 0.97 | 0 | 34.62 | 48.35 | 17.04 | |
福建 | 5 | 0.74 | 0.06 | 45.33 | 43.21 | 11.40 | |
台湾 | 10 | 1.57 | 0 | 43.76 | 40.47 | 15.77 | |
浙江 | 15 | 1.98 | 0 | 10.57 | 53.65 | 35.78 | |
湖北 | 22 | 6.25 | 1.11 | 22.65 | 29.40 | 46.84 | |
湖南 | 5 | 1.15 | 0.11 | 31.25 | 33.99 | 34.66 | |
广东 | 12 | 2.99 | 0 | 24.69 | 53.99 | 21.32 | |
广西 | 3 | 0.63 | 0 | 25.92 | 66.36 | 7.72 | |
四川 | 4 | 0.49 | 41.24 | 28.70 | 27.61 | 2.45 | |
贵州 | 1 | 0.66 | 21.62 | 72.25 | 6.03 | 0.10 | |
云南 | 5 | 2.55 | 18.40 | 69.49 | 10.34 | 1.77 | |
西藏 | 90.75 | 9.25 | 0 | 0 | |||
全国 | 210 | 34.04 | 69.58 | 14.19 | 9.34 | 6.89 |
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