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学者姓名：郎建垒
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Abstract ：
本发明公开了一种大气污染物排放清单的联合优化反演方法及系统，属于大气环境技术领域，方法包括：获取气象场数据，结合气象模型和空气质量模型得到气象场数值模型，并代入先验排放清单数据，模拟得到模拟贡献浓度和浓度贡献系数；根据空气质量监测数据和浓度贡献系数，以计算浓度与监测浓度误差最小为优化目标、构建优化方程；根据气象变化对污染物浓度变化的影响量化值及不同时段的波动，构建气象约束条件；构建污染物排放清单联合反演模型，求解得到污染物排放优化反演清单。通过本发明的技术方案，在用浓度进行排放量优化时，减少了气象条件对污染物浓度的影响，降低了反演优化清单的不确定性，更准确快速地实现排放清单反演。
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| GB/T 7714 | 周颖 , 李佳 , 郎建垒 et al. 一种大气污染物排放清单的联合优化反演方法及系统 : CN202310746146.X[P]. | 2023-06-25 . |
| MLA | 周颖 et al. "一种大气污染物排放清单的联合优化反演方法及系统" : CN202310746146.X. | 2023-06-25 . |
| APA | 周颖 , 李佳 , 郎建垒 , 张晔华 . 一种大气污染物排放清单的联合优化反演方法及系统 : CN202310746146.X. | 2023-06-25 . |
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Abstract ：
本发明公开了一种监测站点大气污染物本地排放贡献的量化识别方法，属于大气污染防治领域；包括：基于空气质量模型模拟得到各站点区域贡献浓度，逐时刻计算各站点区域贡献与全部站点区域贡献平均浓度的比值，即为区域贡献不均匀系数；引入区域平均和本地贡献优化变量，将区域贡献平均优化浓度与区域贡献不均匀系数相乘，得到区域贡献优化浓度表达式；以本地和区域贡献优化浓度之和与监测浓度误差最小化为目标，构建目标方程；确定本地贡献优化浓度的限制范围，联合目标方程构建优化模型；根据监测浓度与区域贡献不均匀系数，通过求解优化模型，得到站点的本地贡献优化浓度。本发明实现了站点本地贡献浓度的量化识别，为精细化污染管控提供支撑。
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| GB/T 7714 | 郎建垒 , 李孟珍 , 周颖 . 一种监测站点大气污染物本地排放贡献的量化识别方法 : CN202310935719.3[P]. | 2023-07-28 . |
| MLA | 郎建垒 et al. "一种监测站点大气污染物本地排放贡献的量化识别方法" : CN202310935719.3. | 2023-07-28 . |
| APA | 郎建垒 , 李孟珍 , 周颖 . 一种监测站点大气污染物本地排放贡献的量化识别方法 : CN202310935719.3. | 2023-07-28 . |
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Abstract ：
本发明提供一种大气污染协同控制区域、时间识别方法，涉及大气污染防控技术领域，包括：模拟研究区域的气象条件、获取大气污染物多尺度排放数据，构建研究区域各污染源间的高时间分辨率大气污染物传输矩阵；计算各污染源对目标区域重污染过程每个时刻的贡献度；应用模糊C均值聚类得到每个时刻需要协同控制的污染源；计算各污染源对目标区域重污染过程的总贡献度和控制频率；应用系统聚类识别出重污染过程需协同控制的污染源；分别计算需协同控制的污染源每个时刻的大气污染物排放对重污染过程的总贡献浓度；应用K均值聚类得到重污染过程中各污染源启动和解除大气污染协同控制的时间。本发明将污染物排放控制的时间尺度精细化到小时。
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| GB/T 7714 | 郎建垒 , 李凯 , 周颖 et al. 一种大气污染协同控制区域、时间识别方法 : CN202310186701.8[P]. | 2023-03-02 . |
| MLA | 郎建垒 et al. "一种大气污染协同控制区域、时间识别方法" : CN202310186701.8. | 2023-03-02 . |
| APA | 郎建垒 , 李凯 , 周颖 , 梁晓玉 , 玄博元 . 一种大气污染协同控制区域、时间识别方法 : CN202310186701.8. | 2023-03-02 . |
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Abstract ：
本发明公开了一种基于站点浓度差异的本外地排放贡献估算方法，属于大气污染防治技术领域；包括：基于城市监测站点各污染物浓度数据，逐时刻分别计算不同污染物的站点间浓度差异(变异系数CVc)和站点浓度平均值；将逐时刻浓度平均值进行区间划分；基于气象和空气质量模型，模拟得到逐时刻的外地排放贡献率；计算不同浓度区间对应的CVc和外地排放贡献率平均值；对外地排放贡献率和CVc均值进行数学拟合，得到外地排放贡献估算模型；基于该模型，快速估算本/外地排放对大气污染物的浓度贡献。本发明基于站点间浓度差异建立外地排放贡献估算模型，可基于环境监测浓度数据快速估算城市本/外地排放贡献，为城市污染管控提供支撑。
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| GB/T 7714 | 郎建垒 , 杨欣欣 , 周颖 . 一种基于站点浓度差异的本外地排放贡献估算方法 : CN202310658278.7[P]. | 2023-06-06 . |
| MLA | 郎建垒 et al. "一种基于站点浓度差异的本外地排放贡献估算方法" : CN202310658278.7. | 2023-06-06 . |
| APA | 郎建垒 , 杨欣欣 , 周颖 . 一种基于站点浓度差异的本外地排放贡献估算方法 : CN202310658278.7. | 2023-06-06 . |
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Abstract ：
Abrupt air pollution accidents can endanger people's health and destroy the local ecological environment. The appropriate emergency response can minimize the harmful effects of accidents and protect people's lives and property. This paper provides an overview of the key emergency response technologies for abrupt air pollution accidents around the globe with emphasis on the major achievements that China has obtained in recent years. With decades of effort, China has made significant progress in emergency monitoring technologies and equipment, source estimation technologies, pollutant dispersion simulation technologies and others. Many effective domestic emergency monitoring instruments (e.g., portable DOAS/FT-IR systems, portable FID/PID systems, portable GC-MS systems, scanning imaging remote sensing systems, and emergency monitoring vehicles) had been developed which can meet the demands for routine emergency response activities. A monitoring layout technique combining air dispersion simulation, fuzzy comprehensive evaluation, and a post-optimality analysis was proposed to identify the optimal monitoring layout scheme under the constraints of limited monitoring resources. Multiple source estimation technologies, including the forward method and the inversion method, have been established and evaluated under various scenarios. Multi-scale dynamic pollution dispersion simulation systems with high temporal and spatial resolution were further developed. A comprehensive emergency response platform integrating database support, source estimation, monitoring schemes, fast monitoring of pollutants, pollution predictions and risk assessment was developed based on the technical idea of "source identification - model simulation - environmental monitoring" dynamic interactive feedback. It is expected that the emergency response capability for abrupt air pollution accidents will gradually improve in China. (c) 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
Keyword ：
Pollutant dispersion simulation Pollutant dispersion simulation Emergency monitoring Emergency monitoring Air pollution accidents Air pollution accidents Emergency response Emergency response Source estimation Source estimation
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| GB/T 7714 | Duan, Jun , Mao, Shushuai , Xie, Pinhua et al. Key emergency response technologies for abrupt air pollution accidents in China [J]. | JOURNAL OF ENVIRONMENTAL SCIENCES , 2023 , 123 : 235-254 . |
| MLA | Duan, Jun et al. "Key emergency response technologies for abrupt air pollution accidents in China" . | JOURNAL OF ENVIRONMENTAL SCIENCES 123 (2023) : 235-254 . |
| APA | Duan, Jun , Mao, Shushuai , Xie, Pinhua , Lang, Jianlei , Li, Ang , Tong, Jingjing et al. Key emergency response technologies for abrupt air pollution accidents in China . | JOURNAL OF ENVIRONMENTAL SCIENCES , 2023 , 123 , 235-254 . |
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Abstract ：
Accurate identification of source information (i.e., source strength and location) is crucial for the air pollution control or effective accidental response. Optimization inversion based on bio-inspired algorithms (BIOs) is an effective method for estimating source information. However, the impacts of different BIOs and the shared parameter of population size in BIOs on source inversion performance have not been revealed. Here the source inversion performance (i.e., accuracy and robustness) of six typical BIOs [i.e., bacterial foraging optimization algorithm (BFO), chicken swarm optimization algorithm (CSO), differential evolution algorithm (DE), genetic algorithm (GA), particle swarm optimization (PSO), and seeker optimization algorithm (SOA)], and their population sizes are evaluated based on the Prairie Grass dataset which covering different atmospheric conditions (i.e., Pasquill stability classes A, B, C, D, E, and F). Results indicated the population size has substantial influence on source inversion. The accuracy of all BIOs in source strength fluctuated greatly when the population size was small, whereas, tended to be stable as the population size increased. Overall, the BFO had the best accuracy with lowest deviations (74.5% for source strength and 29.7 m for location parameter x(0)), whereas SOA had the best robustness for all source parameters. Atmospheric conditions indicated an obvious influence on the inversion performance of the BIOs. The BFO and CSO performed the best with the lowest deviations [137.5 and 26.7% for unstable conditions (A, B, and C) and stable condition (E), respectively], all algorithms are comparable (67.4 +/- 2.1%) in neutral condition (D), and BFO and CSO had the comparable performances (23.2 and 24.3%) and performed better under extremely stable condition (F). This study enhances the understanding of the factors influencing source inversion and provides a reference for the selection of appropriate bio-inspired algorithms and the reasonable setting of population size parameter for source inversion in practical environmental management.
Keyword ：
source parameters estimation source parameters estimation atmospheric pollution atmospheric pollution optimization method optimization method inverse modeling inverse modeling performance evaluation performance evaluation
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| GB/T 7714 | Mao, Shushuai , Hu, Feng , Lang, Jianlei et al. Comparative Study of Impacts of Typical Bio-Inspired Optimization Algorithms on Source Inversion Performance [J]. | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2022 , 10 . |
| MLA | Mao, Shushuai et al. "Comparative Study of Impacts of Typical Bio-Inspired Optimization Algorithms on Source Inversion Performance" . | FRONTIERS IN ENVIRONMENTAL SCIENCE 10 (2022) . |
| APA | Mao, Shushuai , Hu, Feng , Lang, Jianlei , Chen, Tian , Cheng, Shuiyuan . Comparative Study of Impacts of Typical Bio-Inspired Optimization Algorithms on Source Inversion Performance . | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2022 , 10 . |
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Abstract ：
Accurate simulation of pollution diffusion under uneven terrain with complicated obstacles is a difficult but important scientific and technological issue. The inlet-boundary was important and single boundary meteorological factors (e.g., wind direction and speed) input were generally employed for the Computational Fluid Dynamics (CFD) simulation. However, for uneven terrain with complicated obstacles, the boundary meteorological condition may be quite different, single boundary input may bring large simulation uncertainty. Consequently, the impact of different inlet boundary number and locations on CFD simulation was investigated based on a scarce tracer-gas field experiment carried out in a chemical industrial park located in a mountainous area. The experimental results implied gas diffusion was influenced by a combination of meteorological conditions from multi-inlet boundaries. The simulation results confirmed that and indicated commonly-used single-inlet boundary input can bring great inaccuracies. The case of inlet boundaries closed to emission sources and intersected the crosswind plane agreed best with measurements. It was also found that the inlet boundary number and locations significantly influence velocity and turbulence. Finally, a guideline for determining the inlet boundaries was proposed. This study can enhance the understanding on CFD simulation, and is beneficial for the selection of inlet meteorological sites to precise prediction.
Keyword ：
Gas diffusion and flow Gas diffusion and flow Small scale Small scale Field experiment Field experiment Inlet boundary conditions Inlet boundary conditions Complex environment Complex environment
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| GB/T 7714 | Shen, Zeya , Lang, Jianlei , Li, Mengzhen et al. Impact of inlet boundary number and locations on gas diffusion and flow in a typical chemical industrial park near uneven terrain [J]. | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION , 2022 , 159 : 281-293 . |
| MLA | Shen, Zeya et al. "Impact of inlet boundary number and locations on gas diffusion and flow in a typical chemical industrial park near uneven terrain" . | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION 159 (2022) : 281-293 . |
| APA | Shen, Zeya , Lang, Jianlei , Li, Mengzhen , Mao, Shushuai , Hu, Feng , Xuan, Boyuan . Impact of inlet boundary number and locations on gas diffusion and flow in a typical chemical industrial park near uneven terrain . | PROCESS SAFETY AND ENVIRONMENTAL PROTECTION , 2022 , 159 , 281-293 . |
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Abstract ：
Air pollutants from ship exhaust have a negative impact on air quality in coastal areas, which can be greatly exacerbated by sea breeze circulation. However, our understanding of this issue is still limited, especially in coastal areas with a complex topography and winding coastlines, such as the Bohai Rim region in China. In order to fill this knowledge gap, theWeather Research and Forecast model coupled with the chemistry (WRF/Chem) modeling system was employed to investigate the influence of sea breeze circulation on the transport of PM2.5 emitted by ships from April to September in 2014. The major findings are as follows: (1) The concentration of PM2.5 due to ship emissions was 2.94 mu g/m(3) on days with a sea breeze and 2.4 times higher than on days without a sea breeze in coastal cities in the region. (2) The difference in the contribution of ship emissions during days with a sea breeze and days without a sea breeze decreases with increasing distance from the coastline but remains non-negligible up to 50 km inland. (3) The shape of the coastline, the topographic height of the land area, and the latitude have a significant impact on sea breeze circulation and thus on the transport of ship emissions. (4) The differences in the contribution of ship emissions under days with a sea breeze versus days without a sea breeze were more evident than those under onshore versus alongshore and offshore winds, indicating that sea breeze circulation can cause cyclic accumulation of pollutants and thus reinforce the impact of ship emissions on coastal air quality more than by onshore winds. It should be emphasized that during the switching from sea breeze to a non-sea breeze, the pollutants that have been transported to the land area by sea breeze have not yet been carried back to sea, resulting in the ship contribution value still not significantly reduced even if the wind is a non-sea breeze at that moment. In addition, other factors e.g., emissions, precipitation, and chemistry can also play an important role in the observed trends in this study.
Keyword ：
sea breeze sea breeze WRF/Chem WRF/Chem ship emissions ship emissions Bohai Rim region Bohai Rim region PM2.5 PM2.5
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| GB/T 7714 | Ma, Yizhe , Chen, Dongsheng , Fu, Xinyi et al. Impact of Sea Breeze on the Transport of Ship Emissions: A Comprehensive Study in the Bohai Rim Region, China [J]. | ATMOSPHERE , 2022 , 13 (7) . |
| MLA | Ma, Yizhe et al. "Impact of Sea Breeze on the Transport of Ship Emissions: A Comprehensive Study in the Bohai Rim Region, China" . | ATMOSPHERE 13 . 7 (2022) . |
| APA | Ma, Yizhe , Chen, Dongsheng , Fu, Xinyi , Shang, Fang , Guo, Xiurui , Lang, Jianlei et al. Impact of Sea Breeze on the Transport of Ship Emissions: A Comprehensive Study in the Bohai Rim Region, China . | ATMOSPHERE , 2022 , 13 (7) . |
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Abstract ：
Source inversion is an effective approach for estimating air pollutant source parameters (e.g., source emission or source strength [Q(0)], source horizontal location [x(0), y(0)], and release height [z(0)]) in industrial activities or accidents. Air pollution events in the real world generally correspond to complex application scenarios arising from unknown source parameters (i.e., Q(0), [Q(0), z(0)], [Q(0), x(0), y(0)], and [Q(0), x(0), y(0), z(0)]) and atmospheric dispersion conditions. However, the source inversion characteristic law of these complex practical scenarios and the interaction mechanism between source location prior information and source strength inversion have not been revealed. In this study, the source inversion performance (accuracy and robustness) under the aforementioned scenarios was evaluated based on the Prairie Grass field experiments. Results indicated that the estimation accuracy of source strength was worse with an increase in the number of unknown source parameters with absolute relative deviations of 34.4, 46.0, 80.1, and 83.6% for a single parameter and double, triple, and quadruple parameters, respectively. Source strength inversion performance was obviously affected by location parameters; robustness was markedly reduced when source height was unknown, whereas accuracy was obviously reduced when source horizontal locations were unknown. Impacts of atmospheric conditions on different source parameters were distinct. Extreme atmospheric conditions (stability A and F) can obviously reduce the estimation accuracy of source strength for single and double parameter inversion scenarios, whereas unstable conditions (stability A, B, and C) can reduce the estimation accuracy of source strength for triple and quadruple parameter scenarios. Source inversion accuracy and robustness were generally poor under extremely stable conditions. This study can fill the knowledge gap in characteristic laws of source inversion under complex application scenarios and the interaction relationship between different unknown source parameters. The results of the influence law of location prior information on source strength inversion have important guiding significance to further improve the inversion accuracy of source strength in practical environmental managements.
Keyword ：
air pollution air pollution inversion modeling inversion modeling small-scale regions small-scale regions source parameter estimation source parameter estimation atmospheric dispersion conditions atmospheric dispersion conditions multiple pollutant emission scenarios multiple pollutant emission scenarios
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| GB/T 7714 | Mao, Shushuai , Lang, Jianlei , Chen, Tian et al. Comparative Study of Source Inversion Under Multiple Atmospheric Pollutant Emission Scenarios [J]. | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2022 , 10 . |
| MLA | Mao, Shushuai et al. "Comparative Study of Source Inversion Under Multiple Atmospheric Pollutant Emission Scenarios" . | FRONTIERS IN ENVIRONMENTAL SCIENCE 10 (2022) . |
| APA | Mao, Shushuai , Lang, Jianlei , Chen, Tian , Cheng, Shuiyuan , Hu, Feng . Comparative Study of Source Inversion Under Multiple Atmospheric Pollutant Emission Scenarios . | FRONTIERS IN ENVIRONMENTAL SCIENCE , 2022 , 10 . |
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Abstract ：
Air pollution has become a great challenge to achieving sustainable development. Among the pollutants, aerosols significantly affect human health and play an important role in global climate change. The concentration of aerosols in the ambient air is influenced strongly by the regional transport of pollutants and their precursors and may vary considerably under different meteorological conditions in different years. This inter-annual variation in meteorology may yield conflicting results in the quantification of the contribution from regional transport of air pollutants. It creates uncertainty for local governments to develop pollution control measures to reduce the challenges to sustainable development. Previous studies on this issue are often year-specific or cover short time spans, and the inter-city transport of air pollutants in the long term is still not fully understood. Therefore, in this study, the Weather Research and Forecasting (WRF) model and Community Multiscale Air Quality (CMAQ) model was used to assess inter-annual variations in the contribution of inter-city transport to the PM2.5 concentration in the Beijing-Tianjin-Hebei region from 2010 to 2019. To highlight the impact of inter-annual variations in meteorology, the authors used the same emission inventory and the same model configurations for the 10-year simulation. The major findings can be summarized as follows: (1) Both PM2.5 concentration and inter-city transport in the Beijing-Tianjin-Hebei (BTH) region were influenced by the inter-annual variation in meteorological conditions. (2) The simulated annual average concentrations in 13 cities in BTH are highly variable, with fluctuations ranging from 30.8% to 54.1%, and more evident variations were found in seasonal results. (3) Seven out of thirteen cities have a contribution from regional transport exceeding 50%, which are located in the eastern half of the Beijing-Tianjin-Hebei region. (4) The magnitude of the regional transport contribution varies significantly among the cities of BTH, on an annual basis, from a minimum inter-annual fluctuation of 8.9% to a maximum of 37.2%, and seasonal fluctuation is even more strongly evident. These results indicate that, when formulating pollution control strategies, inter-annual changes in meteorological conditions should not be ignored.
Keyword ：
WRF WRF regional air pollution regional air pollution CMAQ CMAQ inter-annual meteorological variation inter-annual meteorological variation inter-city transport inter-city transport
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| GB/T 7714 | Chen, Dongsheng , Jin, Xin , Fu, Xinyi et al. Impact of Inter-Annual Variation in Meteorology from 2010 to 2019 on the Inter-City Transport of PM2.5 in the Beijing-Tianjin-Hebei Region [J]. | SUSTAINABILITY , 2022 , 14 (10) . |
| MLA | Chen, Dongsheng et al. "Impact of Inter-Annual Variation in Meteorology from 2010 to 2019 on the Inter-City Transport of PM2.5 in the Beijing-Tianjin-Hebei Region" . | SUSTAINABILITY 14 . 10 (2022) . |
| APA | Chen, Dongsheng , Jin, Xin , Fu, Xinyi , Xia, Lin , Guo, Xiurui , Lang, Jianlei et al. Impact of Inter-Annual Variation in Meteorology from 2010 to 2019 on the Inter-City Transport of PM2.5 in the Beijing-Tianjin-Hebei Region . | SUSTAINABILITY , 2022 , 14 (10) . |
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