河南省肺癌空间分布格局及环境因素影响

doi:10.11821/dlxb202201017

地理学报 ›› 2022, Vol. 77 ›› Issue (1): 245-258.doi: 10.11821/dlxb202201017

• 生态系统服务与环境健康 • 上一篇

河南省肺癌空间分布格局及环境因素影响

魏海涛¹^,²(), 刘岩¹^,², 田智慧¹^,², 王晓蕾¹^,², 赫晓慧¹^,²(), 韦晶³^,⁴

1.郑州大学地球科学与技术学院,郑州 450000
2.郑州大学中国气象科学研究院郑州大学生态气象联合实验室,郑州 450000
3.北京师范大学遥感国家重点实验室全球变化与地球系统科学研究院,北京 100875
4.马里兰大学大气与海洋科学系地球系统科学跨学科研究中心,美国马里兰 20740

收稿日期:2020-08-11 修回日期:2021-04-19 出版日期:2022-01-25 发布日期:2022-03-25
通讯作者: 赫晓慧(1978-), 女, 博士, 教授, 研究领域为地理时空数据分析。E-mail: hexh@zzu.edu.cn
作者简介:魏海涛(1986-), 男, 博士, 讲师, 研究领域为健康地理学和空间数据分析。E-mail: zzu_wei@163.com
基金资助:
国家重点研发计划(2018YFB0505000);河南省重点研发与推广专项(科技攻关)项目(192102210124)

Spatial distribution pattern and environmental impact of lung cancer in Henan

WEI Haitao¹^,²(), LIU Yan¹^,², TIAN Zhihui¹^,², WANG Xiaolei¹^,², HE Xiaohui¹^,²(), WEI Jing³^,⁴

1. School of Earth Sciences and Technology, Zhengzhou University, Zhengzhou 450000, China
2. Joint Laboratory of Eco-Meteorology, Zhengzhou University, Chinese Academy of Meteorological Sciences, Zhengzhou University, Zhengzhou 450000, China
3. State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing 100088, China
4. Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA

Received:2020-08-11 Revised:2021-04-19 Published:2022-01-25 Online:2022-03-25
Supported by:
National Key R&D Program of China(2018YFB0505000);Key R&D and Promotion Special Projects of Henan Province(192102210124)

摘要/Abstract

摘要：

肺癌是最常见的恶性肿瘤之一,也是主要的肿瘤死因,河南省肺癌发病率和死亡率常年居恶性肿瘤首位,研究肺癌的空间分布格局及其与环境因子的关系对肺癌的相关防控工作意义重大。本文以2016—2018年河南省肺癌发病数据为研究对象,使用空间自相关分析方法研究河南省肺癌的空间分布格局,基于地理探测器量化各个环境因子及其两两交互作用对肺癌发病率的解释力。结果表明：空间上肺癌具有明显的集聚特征,高发区集中分布于豫中、豫东和豫南的平原和盆地地区。在所选的12种环境因子中,PM_2.5浓度、O₃浓度、年均风速、采矿业从业人员占比、人均GDP具有更高的决定力,人均GDP和医护人员占比则对多种要素的决定力均具有明显的非线性增强的作用。研究结果可以为河南省肺癌发病机理研究和相关防治工作提供科学支撑。

关键词: 肺癌, 空间分布格局, 环境因子, 地理探测器, 河南

Abstract:

Lung cancer is one of the most common malignant tumors and the main cause of death related with cancer. The incidence rate and mortality rate of lung cancer in Henan are the highest of the cancers. Therefore, it is of great significance to study the spatial distribution pattern of lung cancer and the effects of environmental factors on it for the prevention and control of lung cancer. Based on the data of lung cancer incidence in Henan from 2016 to 2018, the spatial distribution pattern of lung cancer in the province was studied by using spatial autocorrelation analysis. Using the software Geodetector, we quantified the explanatory power of each factor and its interactions on lung cancer incidence rate. The results showed that lung cancer has obvious characteristics of agglomeration, the high incidence areas are concentrated in the plains and basins of central, eastern and southern Henan. Among the 12 environmental factors selected, PM_2.5 concentration, O₃ concentration, annual average wind speed, proportion of employees in mining industry and per capita GDP have decisive power, while the per capita GDP and proportion of medical staff have a non-linear enhancement effect on the determination of various factors. The results can provide technical support for research on pathogenesis, prevention and treatment of lung cancer in Henan.

Key words: lung cancer, spatial distribution pattern, environmental factor, Geodetector, Henan

魏海涛, 刘岩, 田智慧, 王晓蕾, 赫晓慧, 韦晶. 河南省肺癌空间分布格局及环境因素影响[J]. 地理学报, 2022, 77(1): 245-258.

WEI Haitao, LIU Yan, TIAN Zhihui, WANG Xiaolei, HE Xiaohui, WEI Jing. Spatial distribution pattern and environmental impact of lung cancer in Henan[J]. Acta Geographica Sinica, 2022, 77(1): 245-258.

图/表 11

图1

图2

图3

图4

图5

表1

两个自变量对因变量交互作用的类型

判断依据	交互作用
$q X 1 ⋂ X 2 < Min q X 1, q X 2$	非线性减弱
$Min q X 1, q X 2 < q X 1 ⋂ X 2 < Max q X 1, q X 2$	单因子非线性减弱
$q X 1 ⋂ X 2 > Max q X 1, q X 2$	双因子增强
$q X 1 ⋂ X 2 = q X 1 + q X 2$	独立
$q X 1 ⋂ X 2 > q X 1 + q X 2$	非线性增强

表1

图6

表2

图7

表3

因子探测器结果

影响因子	$q$	影响因子	$q$
PM_2.5	0.156	NDVI	0.022
O₃	0.111	MIP	0.103
NO₂	0.099	MAP	0.040
PREC	0.046	CONP	0.052
TEMP	0.050	PGDP	0.113
WIND	0.131	MSP	0.048

表3

表4

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年份	Moran's I	Z值	显著性水平p	空间格局
2016年	0.459934	11.0450	0.001	聚集
2017年	0.304695	7.5622	0.001	聚集
2018年	0.509189	12.6958	0.001	强聚集

河南省肺癌空间分布格局及环境因素影响

Spatial distribution pattern and environmental impact of lung cancer in Henan

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