[1] LV W, JI S. Atmospheric environmental quality assessment method based on analytic hierarchy process[J]. Discrete & Continuous Dynamical Systems-S, 2019, 12(4/5): 941-955.
[2] ZHANG M, LIU Y, WU J, et al. Index system of urban resource and environment carrying capacity based on ecological civilization[J]. Environmental Impact Assessment Review, 2018, 68: 90-97. doi: 10.1016/j.eiar.2017.11.002
[3] 傅莉媛, 孙丛婷, 祝志川. 基于改进模糊综合评价法的区域大气环境脆弱性分析[J]. 数学的实践与认识, 2021, 51(24): 133-145. doi: 10.3969/j.issn.1000-0984.2021.24.sxdsjyrs202124014
[4] NASIRI N A, AL-AWADHI T, HEREHER M, et al. Changing urban ecology a challenge for coastal urban resilience: a study on Muscat[J]. Environment and Urbanization ASIA, 2020, 11(1): 10-28. doi: 10.1177/0975425320906307
[5] 夏楚瑜, 董照樱子, 陈彬. 城市生态韧性时空变化及情景模拟研究——以杭州市为例[J]. 生态学报, 2022, 42(1): 116-126.
[6] 张明斗, 冯晓青. 中国城市韧性度综合评价[J]. 城市问题, 2018(10): 27-36.
[7] 白立敏, 修春亮, 冯兴华, 等. 中国城市韧性综合评估及其时空分异特征[J]. 世界地理研究, 2019, 28(6): 77-87. doi: 10.3969/j.issn.1004-9479.2019.06.2018403
[8] 修春亮, 魏冶, 王绮. 基于“规模—密度—形态”的大连市城市韧性评估[J]. 地理学报, 2018, 73(12): 2315-2328.
[9] 焦柳丹, 邓佳丽, 吴雅, 等. 基于PSR+云模型的城市韧性水平评价研究[J]. 生态经济, 2022, 38(5): 114-120.
[10] WANG S, LIAO T, WANG L, et al. Process analysis of characteristics of the boundary layer during a heavy haze pollution episode in an inland megacity, China[J]. Journal of Environmental Sciences, 2016, 40: 138-144. doi: 10.1016/j.jes.2015.12.008
[11] HE J, GONG S, YU Y, et al. Air pollution characteristics and their relation to meteorological conditions during 2014—2015 in major Chinese cities[J]. Environmental Pollution, 2017, 223: 484-496. doi: 10.1016/j.envpol.2017.01.050
[12] CHEN Z, XIE X, CAI J, et al. Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective[J]. Atmospheric Chemistry & Physics Discussions, 2018: 1-30.
[13] GUO L, ZHANG Y, LIN H, et al. The washout effects of rainfall on atmospheric particulate pollution in two Chinese cities[J]. Environmental pollution, 2016, 215: 195-202. doi: 10.1016/j.envpol.2016.05.003
[14] 王光辉, 王雅琦. 基于风险矩阵的中国城市韧性评价——以284个城市为例[J]. 贵州社会科学, 2021(1): 126-134.
[15] 朱海勇, 张守鑫, 刘加珍, 等. 山东省空气质量的时空特征及影响因素分析[J]. 环境污染与防治, 2022, 44(9): 1228-1233+1240.
[16] 周郡娇, 卢妍, 张赢心, 等. 淮安市大气环境质量状况及其影响因素分析[J]. 淮阴师范学院学报(自然科学版), 2021, 20(4): 319-324.
[17] 张鹏, 于伟, 张延伟. 山东省城市韧性的时空分异及其影响因素[J]. 城市问题, 2018(9): 27-34.
[18] 杨文培, 何曙慧, 杨潘. 基于DPSIR模型的城市大气评价指标设计[J]. 统计与决策, 2017(3): 59-62.
[19] ZHANG H, LU M, KE X, et al. Evaluation model of black-start schemes based on optimal combination weights and improved VIKOR method[J]. International Journal of Electrical Power & Energy Systems, 2021, 129(4): 106762.
[20] SOBOL I M. Sensitivity analysis for non-linear mathematical models[J]. Mathematical Modeling & amp; Computational Experiment, 1993, 1: 407-414.
[21] 陈卫平, 涂宏志, 彭驰, 等. 环境模型中敏感性分析方法评述[J]. 环境科学, 2017, 38(11): 4889-4896.
[22] 王复生, 田娟. 基于Sobol方法的MIKE NAM模型参数敏感性分析[J]. 水利规划与设计, 2022(11): 100-103. doi: 10.3969/j.issn.1672-2469.2022.11.019
[23] 刘松, 佘敦先, 张利平, 等. 基于Morris和Sobol的水文模型参数敏感性分析[J]. 长江流域资源与环境, 2019, 28(6): 1296-1303.
[24] SALTELLI A, ANNONI P, AZZINI I, et al. Variance based sensitivity analysis of model output: Design and estimator for the total sensitivity index[J]. Computer Physics Communications, 2010, 181(2): 259-270. doi: 10.1016/j.cpc.2009.09.018
[25] 中工网. 中央生态环境保护督察集中通报第四批4个典型案例[EB/OL]. (2022-1-9)[2023-2-5].https://www.workercn.cn/c/2022-01-09/6856030.shtml,2022.01.09.
[26] 西安日报. 西部六省(区)中心城市园林科技信息网会第38次会议在西安召开[EB/OL]. (2019-4-17)[2023-2-5]. https://baijiahao.baidu.com/s?id=1647619774264537467&wfr=spider&for=pc.