World Regional Studies ›› 2022, Vol. 31 ›› Issue (5): 1108-1118.DOI: 10.3969/j.issn.1004-9479.2022.05.2020730
Xin CHEN1(), Ling XIE1,2(), Suhong LIU2,3, Yanhong JIA1, Xiaohui XIAO1, Yu LIANG1
Received:
2020-10-17
Revised:
2021-01-18
Online:
2022-09-15
Published:
2022-09-15
Contact:
Ling XIE
陈昕1(), 谢玲1,2(), 刘素红2,3, 贾艳红1, 肖小慧1, 梁瑜1
通讯作者:
谢玲
作者简介:
陈昕(1997-),女,本科,研究方向为环境健康,E-mail:1944828244@qq.com。
基金资助:
Xin CHEN, Ling XIE, Suhong LIU, Yanhong JIA, Xiaohui XIAO, Yu LIANG. Spatio-temporal difference and geographical environment factors of hand, foot and mouth disease in Guangxi[J]. World Regional Studies, 2022, 31(5): 1108-1118.
陈昕, 谢玲, 刘素红, 贾艳红, 肖小慧, 梁瑜. 广西手足口病时空分异及其地理环境因子 探测分析[J]. 世界地理研究, 2022, 31(5): 1108-1118.
数据类型 | 数据来源 | 数据详情 |
---|---|---|
植被覆盖度(NDVI)数据 | 中科院资源环境科学数据中心 | 2017年1月—2017年12月中国月度植被指数(NDVI)空间分布数据集(栅格大小为1km×1km) |
降水量(PRE)、气温(TEM) 日照时数(SSD)、相对湿度(RHU)数据 | 中国气象网 中国地面气候资料 日值数据集(V3.0) | 2017年1月—2017年12月的14个气象站点的气象数据(日值),由空间插值得到1km栅格气象数据 |
手足口病(HFMD)数据 | 公共卫生数据中心 | 2013—2017年广西全区的手足口病发病数、死亡数、发病率与死亡率数据的年统计数据与月统计数据 2016—2017年广西区内14个地级市的手足口病发病数、死亡数、发病率与死亡率的年与月统计数据 |
Tab.1 Summary of research data
数据类型 | 数据来源 | 数据详情 |
---|---|---|
植被覆盖度(NDVI)数据 | 中科院资源环境科学数据中心 | 2017年1月—2017年12月中国月度植被指数(NDVI)空间分布数据集(栅格大小为1km×1km) |
降水量(PRE)、气温(TEM) 日照时数(SSD)、相对湿度(RHU)数据 | 中国气象网 中国地面气候资料 日值数据集(V3.0) | 2017年1月—2017年12月的14个气象站点的气象数据(日值),由空间插值得到1km栅格气象数据 |
手足口病(HFMD)数据 | 公共卫生数据中心 | 2013—2017年广西全区的手足口病发病数、死亡数、发病率与死亡率数据的年统计数据与月统计数据 2016—2017年广西区内14个地级市的手足口病发病数、死亡数、发病率与死亡率的年与月统计数据 |
图示 | 描述 | 交互作用 |
---|---|---|
q(X1∩X2) < Min(q(X1), q(X2)) | 非线性减弱 | |
Min(q(X1), q(X2)) < q(X1∩X2) < Max(q(X1), q(X2)) | 单因子非线性减弱 | |
q(X1 ∩X2) > Max(q(X1 ), q(X2)) | 双因子增强 | |
q(X1 ∩X2) = q(X1 ) + q(X2) | 独立 | |
q(X1 ∩X2) > q(X1 ) + q(X2) | 非线性增强 |
Tab.2 Two interaction types of geographical environmental factors on HFMD incidence rate
图示 | 描述 | 交互作用 |
---|---|---|
q(X1∩X2) < Min(q(X1), q(X2)) | 非线性减弱 | |
Min(q(X1), q(X2)) < q(X1∩X2) < Max(q(X1), q(X2)) | 单因子非线性减弱 | |
q(X1 ∩X2) > Max(q(X1 ), q(X2)) | 双因子增强 | |
q(X1 ∩X2) = q(X1 ) + q(X2) | 独立 | |
q(X1 ∩X2) > q(X1 ) + q(X2) | 非线性增强 |
变量 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 | 发病率 |
---|---|---|---|---|---|---|
降水量 | — | 0.530** | 0.077 | 0.565** | -0.001 | 0.395** |
气温 | 0.530** | — | 0.712** | 0.447** | 0.331* | 0.775** |
日照时数 | 0.077 | 0.712** | — | 0.043 | 0.558** | 0.614** |
相对湿度 | 0.565** | 0.447** | 0.043 | — | -0.335* | 0.306* |
植被覆盖度 | -0.001 | 0.331* | 0.558** | -0.335* | — | 0.221 |
发病率 | 0.395** | 0.775** | 0.614** | 0.306* | 0.221 | — |
Tab.3 Correlation between variables
变量 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 | 发病率 |
---|---|---|---|---|---|---|
降水量 | — | 0.530** | 0.077 | 0.565** | -0.001 | 0.395** |
气温 | 0.530** | — | 0.712** | 0.447** | 0.331* | 0.775** |
日照时数 | 0.077 | 0.712** | — | 0.043 | 0.558** | 0.614** |
相对湿度 | 0.565** | 0.447** | 0.043 | — | -0.335* | 0.306* |
植被覆盖度 | -0.001 | 0.331* | 0.558** | -0.335* | — | 0.221 |
发病率 | 0.395** | 0.775** | 0.614** | 0.306* | 0.221 | — |
变量 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 |
---|---|---|---|---|---|
q statistic | 0.170 | 0.493 | 0.448 | 0.064 | 0.091 |
p value | 0.003 | 0.000 | 0.000 | 0.040 | 0.017 |
Tab.4 The explanatory power of geographical factors on the incidence of HFMD
变量 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 |
---|---|---|---|---|---|
q statistic | 0.170 | 0.493 | 0.448 | 0.064 | 0.091 |
p value | 0.003 | 0.000 | 0.000 | 0.040 | 0.017 |
要素 | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
降水量/0.1mm | 1.93~40.78 | 40.79~79.63 | 79.64~118.48 | 118.49~157.33 | 157.34~196.18 | 196.19~235.03 |
气温/℃ | 9~13 | 13~17 | 17~21 | 21~25 | 25~29 | 29~33 |
日照时数/0.1h | 7~18.2 | 18.2~29.4 | 29.4~40.6 | 40.6~51.8 | 51.8~63 | 63~74.2 |
相对湿度/1% | 55.77~61.73 | 61.74~67.69 | 67.7~73.65 | 73.66~79.61 | 79.62~85.57 | 85.58~91.53 |
植被覆盖度 | 0.27~0.375 | 0.376~0.48 | 0.481~0.585 | 0.586~0.69 | 0.691~0.795 | 0.796~0.9 |
Tab.5 The specific values of each geographical environment element in each stratum
要素 | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
降水量/0.1mm | 1.93~40.78 | 40.79~79.63 | 79.64~118.48 | 118.49~157.33 | 157.34~196.18 | 196.19~235.03 |
气温/℃ | 9~13 | 13~17 | 17~21 | 21~25 | 25~29 | 29~33 |
日照时数/0.1h | 7~18.2 | 18.2~29.4 | 29.4~40.6 | 40.6~51.8 | 51.8~63 | 63~74.2 |
相对湿度/1% | 55.77~61.73 | 61.74~67.69 | 67.7~73.65 | 73.66~79.61 | 79.62~85.57 | 85.58~91.53 |
植被覆盖度 | 0.27~0.375 | 0.376~0.48 | 0.481~0.585 | 0.586~0.69 | 0.691~0.795 | 0.796~0.9 |
阶层 | 降水量对应 发病风险 | 气温对应 发病风险 | 日照时数对应 发病风险 | 相对湿度对应 发病风险 | 植被覆盖度对应 发病风险 |
---|---|---|---|---|---|
1 | 1.895 | 0.661 | 1.346 | 0.366 | 1.916 |
2 | 3.791 | 0.764 | 1.238 | 1.689 | 0.368 |
3 | 4.255 | 0.829 | 1.202 | 1.980 | 2.666 |
4 | 2.874 | 3.421 | 4.243 | 2.393 | 2.260 |
5 | 4.206 | 4.399 | 3.724 | 3.132 | 2.028 |
6 | 3.272 | 4.600 | 5.334 | 3.527 | 3.590 |
Tab.6 The incidence of HFMD corresponding to geographical factors in different strata
阶层 | 降水量对应 发病风险 | 气温对应 发病风险 | 日照时数对应 发病风险 | 相对湿度对应 发病风险 | 植被覆盖度对应 发病风险 |
---|---|---|---|---|---|
1 | 1.895 | 0.661 | 1.346 | 0.366 | 1.916 |
2 | 3.791 | 0.764 | 1.238 | 1.689 | 0.368 |
3 | 4.255 | 0.829 | 1.202 | 1.980 | 2.666 |
4 | 2.874 | 3.421 | 4.243 | 2.393 | 2.260 |
5 | 4.206 | 4.399 | 3.724 | 3.132 | 2.028 |
6 | 3.272 | 4.600 | 5.334 | 3.527 | 3.590 |
要素 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 |
---|---|---|---|---|---|
降水量 | 0.170 | ||||
气温 | 0.573 | 0.493 | |||
日照时数 | 0.603 | 0.623 | 0.448 | ||
相对湿度 | 0.232 | 0.533 | 0.522 | 0.064 | |
植被覆盖度 | 0.316 | 0.562 | 0.550 | 0.191 | 0.091 |
Tab.7 The explanatory power of interaction of geographical factors on the incidence of HFMD in Guangxi
要素 | 降水量 | 气温 | 日照时数 | 相对湿度 | 植被覆盖度 |
---|---|---|---|---|---|
降水量 | 0.170 | ||||
气温 | 0.573 | 0.493 | |||
日照时数 | 0.603 | 0.623 | 0.448 | ||
相对湿度 | 0.232 | 0.533 | 0.522 | 0.064 | |
植被覆盖度 | 0.316 | 0.562 | 0.550 | 0.191 | 0.091 |
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