Journal of Arid Meteorology ›› 2026, Vol. 44 ›› Issue (2): 303-313.DOI: 10.11755/j.issn.1006-7639-2026-02-0303
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WEI Jiayi(
), SHE Lu(
), ZHAO Honghong, WANG Jiaqi, YAN Chen, ZHAO Zhitao
Received:2025-10-27
Revised:2026-02-10
Online:2026-05-20
Published:2026-05-18
魏嘉一(
), 佘璐(
), 赵红红, 王家琦, 闫琛, 赵志涛
通讯作者:
佘璐
作者简介:魏嘉一(2005—),女,山东德州人,本科生,主要研究方向为环境遥感应用。E-mail: weijiayi_sdbj@163.com。
基金资助:CLC Number:
WEI Jiayi, SHE Lu, ZHAO Honghong, WANG Jiaqi, YAN Chen, ZHAO Zhitao. Spatiotemporal variation characteristics of Aerosol Optical Depth in Ningxia[J]. Journal of Arid Meteorology, 2026, 44(2): 303-313.
魏嘉一, 佘璐, 赵红红, 王家琦, 闫琛, 赵志涛. 宁夏地区气溶胶光学厚度的时空变化特征[J]. 干旱气象, 2026, 44(2): 303-313.
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URL: http://www.ghqx.org.cn/EN/10.11755/j.issn.1006-7639-2026-02-0303
| 数据类别 | 数据名称 | 时、空分辨率 | 数据来源 |
|---|---|---|---|
| 土地利用类型数据 | 土地覆盖数据集 | 30 m | 国家冰川冻土沙漠科学数据中心 |
| NDVI数据 | MODIS NDVI | 逐月,1 km | 美国国家航空航天局 |
| ERA5气象再分析数据 | 降水量 风速 地表温度 T10 m(10 m气温) T250(250 hPa温度) T500(500 hPa温度) | 逐日, 0.1°×0.1° | 欧洲中期天气预报中心 |
| 人为颗粒物排放数据 | MEIC排放清单模型数据 | 逐月,省级 | MEIC |
Tab.1 List of auxiliary data used in the study
| 数据类别 | 数据名称 | 时、空分辨率 | 数据来源 |
|---|---|---|---|
| 土地利用类型数据 | 土地覆盖数据集 | 30 m | 国家冰川冻土沙漠科学数据中心 |
| NDVI数据 | MODIS NDVI | 逐月,1 km | 美国国家航空航天局 |
| ERA5气象再分析数据 | 降水量 风速 地表温度 T10 m(10 m气温) T250(250 hPa温度) T500(500 hPa温度) | 逐日, 0.1°×0.1° | 欧洲中期天气预报中心 |
| 人为颗粒物排放数据 | MEIC排放清单模型数据 | 逐月,省级 | MEIC |
| 城市 | 春季 | 夏季 | 秋季 | 冬季 |
|---|---|---|---|---|
| 石嘴山市 | 0.33 | 0.31 | 0.24 | 0.28 |
| 银川市 | 0.34 | 0.29 | 0.24 | 0.29 |
| 中卫市 | 0.32 | 0.26 | 0.20 | 0.25 |
| 吴忠市 | 0.33 | 0.27 | 0.20 | 0.24 |
| 固原市 | 0.32 | 0.26 | 0.17 | 0.23 |
Tab.2 The seasonal average AOD of five cities in Ningxia from 2003 to 2023
| 城市 | 春季 | 夏季 | 秋季 | 冬季 |
|---|---|---|---|---|
| 石嘴山市 | 0.33 | 0.31 | 0.24 | 0.28 |
| 银川市 | 0.34 | 0.29 | 0.24 | 0.29 |
| 中卫市 | 0.32 | 0.26 | 0.20 | 0.25 |
| 吴忠市 | 0.33 | 0.27 | 0.20 | 0.24 |
| 固原市 | 0.32 | 0.26 | 0.17 | 0.23 |
| p值 | 变化趋势 | 面积占比/% | |||||
|---|---|---|---|---|---|---|---|
| 全区 | 春 | 夏 | 秋 | 冬 | |||
| ≥0.05 | 变化不显著 | 24.80 | 68.76 | 4.18 | 92.58 | 75.82 | |
| <0.05 | >0 | 增加 | 0.08 | 0.05 | 0.01 | 0.65 | 0.05 |
| -0.003~0 | 轻微降低 | 59.61 | 26.96 | 35.13 | 6.63 | 23.44 | |
| <-0.003 | 显著降低 | 15.51 | 4.23 | 60.68 | 0.14 | 0.69 | |
Tab.3 Statistics on the area proportion with different change trends of AOD in Ningxia from 2003 to 2023
| p值 | 变化趋势 | 面积占比/% | |||||
|---|---|---|---|---|---|---|---|
| 全区 | 春 | 夏 | 秋 | 冬 | |||
| ≥0.05 | 变化不显著 | 24.80 | 68.76 | 4.18 | 92.58 | 75.82 | |
| <0.05 | >0 | 增加 | 0.08 | 0.05 | 0.01 | 0.65 | 0.05 |
| -0.003~0 | 轻微降低 | 59.61 | 26.96 | 35.13 | 6.63 | 23.44 | |
| <-0.003 | 显著降低 | 15.51 | 4.23 | 60.68 | 0.14 | 0.69 | |
| 季节 | 降水量 | 风速 | 地表温度 | T10 m | T250 hPa-T10 m | T500 hPa-T10 m | NDVI |
|---|---|---|---|---|---|---|---|
| 春季 | 0.18 | 0.61** | -0.54* | -0.47* | 0.47* | 0.26 | -0.65** |
| 夏季 | -0.36 | 0.31 | -0.22 | -0.32 | -0.34 | -0.33 | -0.85*** |
| 秋季 | 0.18 | -0.51* | -0.01 | -0.08 | 0.08 | 0.14 | -0.34 |
| 冬季 | -0.25 | 0.14 | -0.08 | -0.15 | -0.15 | -0.01 | -0.45* |
Tab.4 Spearman correlation coeffficients between AOD and its influencing factors in different seasons
| 季节 | 降水量 | 风速 | 地表温度 | T10 m | T250 hPa-T10 m | T500 hPa-T10 m | NDVI |
|---|---|---|---|---|---|---|---|
| 春季 | 0.18 | 0.61** | -0.54* | -0.47* | 0.47* | 0.26 | -0.65** |
| 夏季 | -0.36 | 0.31 | -0.22 | -0.32 | -0.34 | -0.33 | -0.85*** |
| 秋季 | 0.18 | -0.51* | -0.01 | -0.08 | 0.08 | 0.14 | -0.34 |
| 冬季 | -0.25 | 0.14 | -0.08 | -0.15 | -0.15 | -0.01 | -0.45* |
| [1] | 曹园园, 璩向宁, 卫萍萍, 2015. 宁夏各市2012年生态承载力供需平衡状况分析[J]. 湖北农业科学, 54(23):5887-5 890. |
| [2] | 常倬林, 崔洋, 张武, 等, 2015. 宁夏典型沙尘天气条件下气溶胶分布特征研究[J]. 高原气象, 34(4):1049-1 056. |
| [3] | 陈明, 2008. 宁夏南部地区乡村聚落空间形态研究[D]. 陕西: 西安建筑科技大学. |
| [4] | 付亚宁, 2010. 宁夏火电厂周围土壤重金属空间分布与污染评价研究[D]. 北京: 北京林业大学. |
| [5] | 黄莹, 李欣, 王璠, 等, 2025. 1961—2022年宁夏春季沙尘天气演变特征及其异常成因[J]. 沙漠与绿洲气象, 19(2): 10-18. |
| [6] | 李成才, 毛节泰, 刘启汉, 等, 2003. 利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J]. 大气科学, 27(5): 869-880. |
| [7] | 李健, 全智雯, 周书贵, 等, 2024. 黄河流域气溶胶时空异质性及影响因素分析[J]. 郑州大学学报:工学版, 45(3):29-37. |
| [8] | 刘状, 孙曦亮, 刘丹, 等, 2018. 2001—2017年中国北方省份气溶胶光学厚度的时空特征[J]. 环境科学学报, 38(8):3177-3 184. |
| [9] | 牛生杰, 章澄昌, 孙继明, 2001. 贺兰山地区沙尘气溶胶粒子谱分布的观测研究[J]. 大气科学, 25(2): 243-252. |
| [10] | 桑建人, 杨有林, 2003. 银川市初夏气溶胶粒子谱分布特征[J]. 中国沙漠, 23(3): 328-330. |
| [11] | 苏玥宇, 刘华柏, 阳艾利, 等, 2023. 中国不同气候区域MODIS C6.1气溶胶光学厚度产品的验证及对比分析[J]. 环境科学学报, 43(6): 11-26. |
| [12] | 孙瑞弟, 刘旻霞, 宋佳颖, 等, 2021. 西北四省吸收性气溶胶时空动态分布及其影响因素[J]. 环境科学学报, 41(4):1219-1 230. |
| [13] | 衣娜娜, 姜学恭, 董祝雷, 等, 2024. 植被覆盖率对内蒙古沙尘天气影响的模拟研究[J]. 大气科学, 48(2): 521-538. |
| [14] | 张国强, 巨天珍, 王勤花, 等, 2020. 宁夏吸收性气溶胶时空分布及其影响因素研究[J]. 中国环境科学, 40(6): 2 371-2 380. |
| [15] | 张瑞芳, 刘偲嘉, 于兴娜, 等, 2021. 西北地区气溶胶光学特性的时空变化特征[J]. 环境科学学报, 41(2): 334-342. |
| [16] |
张雯, 王岱, 马阳, 等, 2024. 不同气候态时段宁夏气温、降水变化对比分析[J]. 干旱气象, 42(6): 889-899.
DOI |
| [17] | 赵仕伟, 高晓清, 2017. 利用MODIS C6数据分析中国西北地区气溶胶光学厚度时空变化特征[J]. 环境科学, 38(7): 2 637-2 646. |
| [18] | BASHMAKOV I A, NILSSON L J, ACQUAYE A, et al, 2022. Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Chapter 11[R]. Cambridge, UK and New York: Cambridge University Press: 1 161-1 243. |
| [19] | CHE H Z, YANG L K, LIU C, et al, 2019. Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET[J]. Chemosphere,236:124268.DOI:10.1016/j.chemosphere.2019.06.238. |
| [20] |
GILES D M, SINYUK A, SOROKIN M G, et al, 2019. Advancements in the Aerosol Robotic Network (AERONET) Version 3 database-automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements[J]. Atmospheric Measurement Techniques, 12: 169-209.
DOI URL |
| [21] | HASHASH E F E, SHIEKH A H R, 2022. A comparison of the Pearson, Spearman rank and Kendall Tau correlation coefficients using quantitative variables[J]. Asian Journal of Probability and Statistics, 20(3): 36-48. |
| [22] | HAYWOOD J, 2021. Atmospheric aerosols and their role in climate change[M]// Climate Change: Observed Impacts on Planet Earth. 3rd ed. Oxford: Elsevier: 645-659. |
| [23] | HOLBEN B N, TANRE D, SMIRNOV A, et al, 2001. An emerging ground-based aerosol climatology aerosol optical depth from AERONET[J]. Journal of Geophysical Research:Atmospheres, 106(D11): 12 067-12 097. |
| [24] |
KAUFMAN Y J, TANRE D, REMER L A, et al, 1997. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer[J]. Journal of Geophysical Research: Atmospheres, 102(D14):17 051-17 067.
DOI URL |
| [25] | KENDALL M G, 1975. Rank correlation methods[M]. London: Griffin. |
| [26] | KOKHANOVSKY A A, DE LEEUW G, 2009. Satellite aerosol remote sensing over land[M]. Berlin Heidelberg: Springer. |
| [27] | LENOBLE J, REMER L, TANRÉ D, 2013. Aerosol remote sensing[M]. Berlin Heidelberg: Springer. |
| [28] | LIU N, ZOU B, FENG H H, et al, 2019. Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China[J]. Atmospheric Chemistry and Physics,19(12): 8 243-8 268. |
| [29] |
LYAPUSTIN A, WANG Y J, KORKIN S, et al, 2018. MODIS Collection 6 MAIAC algorithm[J]. Atmospheric Measurement Techniques, 11(10): 5 741-5 765.
DOI URL |
| [30] |
MANN H B, 1945. Nonparametric tests against trend[J]. Econometrica, 13(3): 245-259.
DOI URL |
| [31] | SAYER A M, MUNCHAK L A, HSU N C, et al, 2014. MODIS Collection 6 aerosol products: Comparison between Aqua’s e-Deep Blue, Dark Target, and “merged” data sets, and usage recommendations[J]. Journal of Geophysical Research: Atmospheres, 119(13): 965-989. |
| [32] | SEN P K, 1968. Estimates of the regression coefficient based on Kendall's tau[J]. Journal of the American Statistical Association, 63(324): 1 379-1 389. |
| [33] |
SPEARMAN C, 1904. The proof and measurement of association between two things[J]. The American Journal of Psychology, 15(1): 72-101.
DOI URL |
| [34] | SHIN M, KANG S, KANG E, et al, 2020. Estimating ground-level particulate matter concentrations using satellite-based data: A review[J]. GIScience & Remote Sensing, 57(8): 1 045-1 066. |
| [35] | YANG J, HUANG X, 2021. The 30m annual land cover dataset and its dynamics in China from 1990 to 2019[J]. Earth System Science Data, 13(8):3907-3 925. DOI: 10.5194/essd-13-3907-2021. |
| [36] |
ZHANG Z, WU W, FAN M, et al, 2019. Evaluation of MAIAC aerosol retrievals over China[J]. Atmospheric Environment, 202: 8-16.
DOI |
| [37] | ZHOU Y, LI S J, 2020. BP neural network modeling with sensitivity analysis on monotonicity based Spearman coefficient[J]. Chemometrics and Intelligent Laboratory Systems,200(prepublish): 103 977. DOI:10.1016/j.chemolab.2020.103977. |
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