[1] |
王冬冬, 李洪利. 空气污染中的经济因素分析与环境保护可持续发展策略研究[J]. 环境科学与管理, 2022, 47(12):179-183.
|
|
WANG Dongdong, LI Hongli. Analysis of economic factors in air pollution and research on sustainable development strategy of environmental protection[J]. Environmental Science and Management, 2022, 47(12):179-183.
|
[2] |
孙志豪, 崔燕平. PM2.5对人体健康影响研究概述[J]. 环境科技, 2013, 26(4):75-78.
|
|
SUN Zhihao, CUI Yanping. An overview of PM2.5 impacts on human health[J]. Environmental Science and Technology, 2013, 26(4):75-78.
|
[3] |
生态环境部.“十四五”生态环境监测规划[EB/OL]. [2021-12-28]. https://www.mee.gov.cn/ywgz/sthjjcgl/wlgl/202201/P020220121523953377742.pdf.
|
|
Ministry of Ecology and Environment. “14th Five-Year” ecological environment monitoring plan[EB/OL]. [2021-12-28]. https://www.mee.gov.cn/ywgz/sthjjcgl/wlgl/202201/P020220121523953377742.pdf.
|
[4] |
白瑞. 环境空气质量监测的实现与优化[J]. 环境与发展, 2017, 29(7):183-184.
|
|
BAI Rui. Implementation and optimization of ambient air quality monitoring[J]. Environment and Development, 2017, 29(7):183-184.
|
[5] |
刘鹏华, 姚尧, 梁昊, 等. 耦合卡尔曼滤波和多层次聚类的中国PM2.5时空分布分析[J]. 地球信息科学学报, 2017, 19(4):475-485.
|
|
LIU Penghua, YAO Yao, LIANG Hao, et al. Analyzing spatiotemporal distribution of PM2.5 in China by integrating Kalman filter and multilevel clustering[J]. Journal of Geo-Information Science, 2017, 19(4):475-485.
|
[6] |
CHUANG M T, CHOU C C K, LIN N H, et al. A simulation study on PM2.5 sources and meteorological characteristics at the northern tip of taiwan in the early stage of the Asian haze period[J]. Aerosol and Air Quality Research, 2017, 17(12):3166-3178.
|
[7] |
HUANG Yeqi, DENG Tao, LI Zhenning, et al. Numerical simulations for the sources apportionment and control strategies of PM2.5 over Pearl River Delta, China, part I: Inventory and PM2.5 sources apportionment[J]. Science of the Total Environment, 2018, 634:1631-1644.
|
[8] |
WANG Qing, LUO Kun, FAN Jianren, et al. Spatial distribution and multiscale transport characteristics of PM2.5 in China[J]. Aerosol and Air Quality Research, 2019, 19(9):1993-2007.
|
[9] |
薛文博, 王金南, 杨金田, 等. 国内外空气质量模型研究进展[J]. 环境与可持续发展, 2013, 38(3):14-20.
|
|
XUE Wenbo, WANG Jinnan, YANG Jintian, et al. Domestic and foreign research progress of air quality model[J]. Environment and Sustainable Development, 2013, 38(3):14-20.
|
[10] |
HU Xuefei, WALLER L A, AL-HAMDAN M Z, et al. Estimating ground-level PM2.5 concentrations in the southeastern U.S. using geographically weighted regression[J]. Environmental Research, 2013, 121:1-10.
|
[11] |
LU Tianjun, BECHLE M J, WAN Yanyu, et al. Using crowd-sourced low-cost sensors in a land use regression of PM2.5 in 6 US cities[J]. Air Quality, Atmosphere & Health, 2022, 15(4):667-678.
|
[12] |
ISKANDARYAN D, RAMOS F, TRILLES S. Graph neural network for air quality prediction: a case study in Madrid[J]. IEEE Access, 2023, 11:2729-2742.
|
[13] |
HAN Jindong, LIU Hao, XIONG Haoyi, et al. Semi-supervised air quality forecasting via self-supervised hierarchical graph neural network[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(5):5230-5243.
|
[14] |
尹文君, 张大伟, 严京海, 等. 基于深度学习的大数据空气污染预报[J]. 中国环境管理, 2015, 7(6):46-52.
|
|
YIN Wenjun, ZHANG Dawei, YAN Jinghai, et al. Deep learning based air pollutant forecasting with big data[J]. Chinese Journal of Environmental Management, 2015, 7(6):46-52.
|
[15] |
BILODEAU C, JIN W, JAAKKOLA T, et al. Generative models for molecular discovery: recent advances and challenges[J]. Wiley Interdisciplinary Reviews: Computational Molecular Science, 2022, 12(5):e1608.
|
[16] |
ZHANG Lei, ZHU Axing, LIU Junzhi, et al. An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping[J]. International Journal of Geographical Information Science, 2023, 37(2):476-498.
|
[17] |
ZHENG Yu, LIU Furui, HSIEH H P. U-air: when urban air quality inference meets big data[C]//Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Chicago: ACM Press, 2013: 1436-1444.
|
[18] |
毛文婧, 王卫林, 焦利民, 等. 基于深度学习的中国连续空间覆盖PM2.5浓度预报[J]. 测绘学报, 2022, 51(3):361-372. DOI: 10.11947/j.AGCS.2022.20200385.
|
|
MAO Wenjing, WANG Weilin, JIAO Limin, et al. Continuous spatial coverage PM2.5 concentration forecast in China based on deep learning[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(3):361-372. DOI: 10.11947/j.AGCS.2022.20200385.
|
[19] |
邓敏, 谌恺祺, 石岩, 等. 多尺度空间同位模式挖掘的点过程分解方法[J]. 测绘学报, 2022, 51(2):258-268. DOI: 10.11947/j.AGCS.2022.20200548.
|
|
DENG Min, CHEN Kaiqi, SHI Yan, et al. Point process decomposition method for multi-scale spatial co-location pattern mining[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(2):258-268. DOI: 10.11947/j.AGCS.2022.20200548.
|
[20] |
CEMGIL T, GHAISAS S, DVIJOTHAM K, et al. The autoencoding variational autoencoder[J]. Advances in Neural Information Processing Systems, 2020, 33:15077-15087.
|
[21] |
TESCHE T W, BERGSTROM R W. Use of digital terrain data in meteorological and air quality modelling[J]. Photogrammetric Engineering Remote Sensing, 1978, 44(12):1549-1559.
|
[22] |
CHEN Kaiqi, DENG Min, SHI Yan. A temporal directed graph convolution network for traffic forecasting using taxi trajectory data[J]. ISPRS International Journal of Geo-Information, 2021, 10(9):624.
|
[23] |
何占军, 邓敏, 蔡建南, 等. 顾及背景知识的多事件序列关联规则挖掘方法[J]. 武汉大学学报(信息科学版), 2018, 43(5):766-772.
|
|
HE Zhanjun, DENG Min, CAI Jiannan, et al. A context-based association rules mining method for multiple event sequences[J]. Geomatics and Information Science of Wuhan University, 2018, 43(5):766-772.
|
[24] |
BREIMAN L. Random forests[J]. Machine Learning, 2001, 45:5-32.
|
[25] |
WANG Jinfeng, STEIN A, GAO Binbo, et al. A review of spatial sampling[J]. Spatial Statistics, 2012, 2:1-14.
|