[1] YUMI K, SANTOS J M, MILL J G, et al. Mortality risks due to long-term ambient sulphur dioxide exposure: large variability of relative risk in the literature[J]. Environmental Science and Pollution research international, 2020, 27(29): 2-10.
[2] 李勇华. 大气中二氧化硫和氮氧化物的污染及防治方法[J]. 资源节约与环保, 2015 , 169(12): 140.
[3] LAYTH C, HARRY A, ROBERTS V. Time-series modeling for statistical process control[J]. Journal of Business & Economic Statistics, 1988, 6(1): 87 − 95.
[4] 路凤, 李亚伟, 李成橙, 等. 时间序列分析在空气污染与健康领域的应用及其R软件实现[J]. 中国卫生统计, 2018, 35(4): 622 − 625.
[5] RAO S T, ZURBENKO I G. Detecting and tracking changes in ozone air quality[J]. Air & Waste:Journal of the Air & Waste Management Association, 1994, 44(9): 1089 − 1092.
[6] DAYANA M A, ELBA C T, FELIPE N P. Time–series analysis of surface ozone and nitrogen oxides concentrations in an urban area at Brazil[J]. Atmospheric Pollution Research, 2014, 5(3): 411 − 420. doi: 10.5094/APR.2014.048
[7] 杨新平, 徐登国. 基于中小城市空气污染指标的时间序列模型构建[J]. 环境污染与防治, 2014, 36(11): 111.
[8] 王莉, 赵渊, 杨显明, 等. 基于时间序列模型与残差控制图的兰州市空气质量研究[J]. 高原气象, 2015, 34(1): 230 − 236. doi: 10.7522/j.issn.1000-0534.2013.00150
[9] 任婉侠, 薛冰, 张琳, 等. 中国特大型城市空气污染指数的时空变化[J]. 生态学杂志, 2013, 32(10): 2788 − 2796.
[10] XING J L, YANG G L, CAI T J. Marine SINS self-alignment method in complex interference environment based on MEEMD algorithm[J]. Electronics, 2022, 11(6): 925.
[11] 许月卿, 李双成, 蔡运龙. 基于小波分析的河北平原降水变化规律研究[J]. 中国科学(D辑:地球科学), 2004 , 34(12): 1176 − 1183.
[12] 范竣翔, 李琦, 朱亚杰, 等. 基于RNN的空气污染时空预报模型研究[J]. 测绘科学, 2017, 42(7): 76 − 83.
[13] 王灿, 张雅欣. 碳中和愿景的实现路径与政策体系[J]. 中国环境管理, 2020, 12(6): 58 − 64.
[14] 李晓童. Holt-Winters模型与X-11模型在预测中的比较研究[J]. 张家口师专学报, 2000 , 16(02): 76 − 79.
[15] TAYLOR A G, JOHN D H, ALEXANDER A. Using cloud computing to analyze model output archived in zarr format[J]. Journal of Atmospheric and Oceanic Technology, 2022, 39(4): 449-462.
[16] 何亚磊, 许乾坤. 时间序列预测技术综述[J]. 信息通信, 2018 , 191(11): 35 − 36.
[17] SUN G, ZHANG Z Y, ZHENG B. Multi-sensor data fusion algorithm based on trust degree and improved genetics[J]. Sensors, 2019, 19(9): 2139-2140.
[18] PADHEE G, DUTTA M. Spatio-temporal reconstruction of MODIS NDVI by regional land surface phenology and harmonic analysis of time-series[J]. GIScience & Remote Sensing, 2019, 56(8): 1261-1288.
[19] WIN W, DAS S, ARUL E, et al. Time series analysis of demographic and temporal trends of tuberculosis in Singapore[J]. BMC Public Health, 2014, 14(1): 1121.
[20] LYNCH J, GORE R. Application of one-, three-, and seven-day forecasts during early onset on the COVID-19 epidemic dataset using moving average, autoregressive, and naïve forecasting methods[J]. Data in Brief, 2021, 35(prepublish): 106759.
[21] WU Y, LI R, CUI L L, et al. The high-resolution estimation of sulfur dioxide (SO2) concentration, health effect and monetary costs in Beijing[J]. Chemosphere, 2020, 241(C): 125031.
[22] MARCIN P, ARTUR W, WOJCIECH S, el al. A generalized unit commitment and economic dispatch approach for analysing the polish power system under high renewable penetration[J]. Energies, 2020, 13(8): 1952.
[23] 吴力波, 孙可哿, 时志雄. 环境规制下中国煤炭发电企业成本技术效率研究[J]. 中国人口·资源与环境, 2018, 28(8): 31 − 38.
[24] 潘伊人. 煤炭: 中国实施碳中和战略的远虑和近忧[J]. 电力设备管理, 2021(6): 1 − 2.
[25] 圣倩倩, 祝遵凌. 南京市7种适生彩叶植物抗NO2能力及生态功能研究[J]. 中南林业科技大学学报, 2018, 38(8): 81 − 88.
[26] 缪宇明, 陈卓梅, 陈亚飞, 等. 浙江省38种园林绿化植物苗木对二氧化氮气体的抗性及吸收能力[J]. 浙江林学院学报, 2008, 97(6): 765 − 771.
[27] 赵焜. 黑龙江省森林碳汇经济可持续发展问题研究[D]. 哈尔滨: 东北农业大学, 2013.
[28] 董坤, 周晨琳. 对加快我国空气污染治理法治化进程的探析——以哈尔滨地区为例[J]. 农村经济与科技, 2019, 30(6): 3 − 4. doi: 10.3969/j.issn.1007-7103.2019.06.003
[29] 邹才能, 何东博, 贾成业, 等. 世界能源转型内涵、路径及其对碳中和的意义[J]. 石油学报, 2021, 42(2): 233 − 247.
[30] CHAI J, JIN Y. The dynamic impacts of oil price on China’s natural gas consumption under the change of global oil market patterns: An analysis from the perspective of total consumption and structure[J]. Energies, 2020, 13(4): 867.
[31] YUAN J H, ZHOU S, PENG T D, et al. Petroleum substitution, greenhouse gas emissions reduction and environmental benefits from the development of natural gas vehicles in China[J]. Petroleum Science, 2018, 15(3): 644-656.
[32] 姜霞, 黄祖辉. 经济新常态下中国林业碳汇潜力分析[J]. 中国农村经济, 2016 , 383(11): 57 − 67.
[33] 漆雁斌, 张艳, 贾阳. 我国试点森林碳汇交易运行机制研究[J]. 农业经济问题, 2014, 35(4): 73 − 79.