基于WRF-CMAQ评估秸秆禁烧对区域空气质量的影响

基于本地化的秸秆露天焚烧主要大气污染物排放清单,采用空气质量模式WRF-CMAQ,定量评估秸秆禁烧管控对东北地区空气质量的影响.结果显示,2013~2020年东北地区秸秆露天焚烧污染物排放总量整体呈现先增加再降低的趋势,每年的秸秆焚烧集中期为春耕前（3月和4月）和秋收后（10月和11月）.2017年秸秆焚烧集中期内,秸秆露天焚烧对东北三省的CO和PM_2.5浓度的贡献率分别为24.01%和39.98%,农作秸秆露天焚烧是造成东北地区空气质量下降的重要因素;相同气象条件下,2019年秸秆焚烧集中期,秸秆焚烧对东北三省大气中CO和PM_2.5浓度的贡献率较2017年同期分别下降了9.58%和13.95%,表明2019年的秸秆禁烧政策有效改善了东北地区的空气质量.同时,若东北三省均实施吉林省2019年的秸秆禁烧管控政策,则东北地区的空气质量将会进一步改善.本研究结果可为区域大气污染联防联控政策的制定提供科技支撑.     

浙江2001—2016年露天生物质燃烧排放污染物时空格局

生物质露天燃烧排放烟气颗粒物对大气环境、生态系统和人类健康有重要影响. 该研究基于MODIS - MCD64A1数据提取2001—2016年浙江省森林、灌丛、草地火灾面积和作物秸秆火点数据,结合植被类型、生物质密度和燃烧效率,运用排放因子法,估算16年间浙江区域露天生物质燃烧排放污染物总量. 结果表明,2001—2016年浙江区域露天生物质燃烧总量为58.78 mt,其中乔木、灌木、草本、水稻、小麦、玉米、豆类和油菜燃烧总量分别为202.18 kt、10.43 kt、300.10 t、46.66 mt、1.94 mt、2.45 mt、3.45 mt和4.06 mt. 森林和秸秆火次数分别为1783次和23257次,森林火灾多集中在浙江南部区域,秸秆火多集中在浙江北部区域. 森林和草地火灾次数主要集中在3月和10月,作物秸秆火点主要集中在5、7和8月份,占全年75%以上. 各污染物CO₂、CO、NO_x、VOCs、PM_2.5、TC、OC和EC排放总量分别为667.20、26.40、1.13、4.92、5.12、2.85、2.59和0.23 mt. 该研究揭示了浙江地区生物质露天燃烧排放污染物的时空变化,为深入揭示生物质燃烧对区域环境影响提供数据支持.     

插板对正庚烷油池火燃烧行为的影响研究

海上石油泄漏常规的处理方法是原位燃烧,加速其燃烧并使其燃尽是降低其对生态环境影响的重要措施之一。以正庚烷为燃料,在油池内插入竖直铝板,研究不同高度铝板对池火燃烧行为的影响。结果表明,插板对池火燃烧速率以及火焰高度具有明显的增强作用,随着板的高度的增加,增强作用先增大后减小,当H_p/D(板高与油池直径之比)为3.5时,增强作用最大。火焰高度、板的温度、热通量以及燃烧速率的变化趋势一致,它们的临界点均在H_p/D=3.5附近。插板后燃烧速率增大主要是因为插板自身的热传导导致了燃料的核态沸腾,使燃料接受的热反馈增大,从而加快了燃料的蒸发,增大了燃烧速率。     

氢气添加对乙醇/空气预混火焰燃烧特性影响的数值模拟研究

通过对不同混合比率的乙醇/氢气/空气燃烧特性进行数值模拟,研究氢气添加量对点火延迟时间、层流燃烧速度、火焰厚度、化学反应滞留时间及组分分布情况的影响。研究发现一定程度上氢气添加量的增加能够缩短混合气体的点火延迟时间,并且氢气对点火延迟时间的影响随着温度的升高而逐渐减小。随着混合比率的增大,层流燃烧速度增大,并且在混合比率大于0.4时显著增大。火焰厚度及化学反应滞留时间随氢气增加而逐渐减小。此外,进一步分析组分分布情况得知氢气添加使火焰中H*、O*、OH*自由基摩尔分数峰值增大,并且H+O+OH摩尔分数峰值与层流燃烧速度存在线性关系。     

生物质燃烧释放N2O的测定及其分布

本文报导了实验室规模的生物质封闭燃烧系统及稻草、玉米秸、麦杆燃烧过程中Ｎ２Ｏ排放因子的测定结果，测定结果表明：稻草、麦杆及玉米秸燃烧排气中Ｎ２Ｏ的排放因子分析是８４．４ｇ／ｔ，２７．３ｇ／ｔ，１３２ｇ／ｔ。用Ｎ２Ｏ－Ｎ占生物全氮的百分含量表示，稻草及玉米秸分别上０．５９％，０．８７％。用实验得到的Ｎ２Ｏ的排放因子计算出了生物质燃烧产生Ｎ２Ｏ在全国各省、直辖市、县的年排放量，并作出了全国年排放的分布     

燃煤灰渣中微量元素分布规律的研究

研究了锅炉飞灰和底灰中１５种微量元素的含量和分布，探讨了煤炭燃烧后，微量元素在灰渣中的集散及其影响因素，飞灰和底灰中大多数元素高于全国土壤背景值，７种元素高于克拉克值，其余８种低于克拉克值，飞灰中多数元素的地球化学富集因子高于１，呈富集状态，而底灰中多数元素富集因子小于１，飞灰和底灰中微量元素含量与煤中微量元素含量呈线性关系，微量元素含量不仅与煤有关，还受锅炉燃烧方式等人为因素影响。     

Fire and Green-Tree Retention in Conservation of Red-Listed and Rare Deadwood-Dependent Beetles in Finnish Boreal Forests

Abstract:  Habitat loss, fragmentation, and declining habitat quality have created an extinction debt in boreal forests, which could be partly reversed by deliberately improving the habitat quality in managed areas outside reserves. We studied the effects of green-tree retention and controlled burning on red-listed and rare, deadwood-dependent (saproxylic) beetles in a large-scale field experiment in eastern Finland. Our factorial study design included 24 sites dominated by Scots pine ( Pinus sylvestris L.) and with three levels of green-tree retention (0, 10, and 50 m³/ha) and uncut controls. Twelve of the 24 sites were burned in 2001. We sampled beetles with 10 flight-intercept traps on each site during the years 2000–2002 (i.e., 1 pretreatment and 2 post-treatment years). A total sample of 153,449 individuals representing 1,160 beetle species yielded 2,107 specimens of 84 red-listed or rare saproxylic species. The richness of these species was higher on the burned than on the unburned sites, and higher levels of green-tree retention promoted species richness, but there were clear differences between the years. The richness of red-listed and rare saproxylic species increased in the first post-treatment year, evidently due to the treatments, continued to increase on the burned sites in the second post-treatment year, but decreased on the unburned sites. Our results showed that the living conditions of many red-listed and rare saproxylic species could be improved significantly with rather simple alterations to forest management methods. Controlled burning with high levels of green-tree retention creates resources for many saproxylic species, but increasing the levels of green-tree retention in unburned areas can also be beneficial.     

Simple Spatial Modeling Tool for Prioritizing Prescribed Burning Activities at the Landscape Scale

Abstract:   Resources for prescribed fire are frequently insufficient to manage public lands for all conservation and resource management objectives, necessitating prioritization of the application of fire across the landscape within any given year. Defining tradeoffs when applying prescribed fire to large landscapes is problematic not only because of the complexity of weighing competing management objectives at the landscape scale, but also because of the difficult nature of independently applying need-to-burn criteria to large areas. We present a case study of a simple modeling process implemented at Eglin Air Force Base in the Florida Panhandle (U.S.A.) to prioritize the application of prescribed fire. In a workshop setting, managers and biologists identified key conservation criteria and landscape management objectives that drive the application of prescribed fire. Remote sensing and other spatial data were developed to directly or indirectly represent all these criteria. Using geographic information system software, managers and biologists weighted each criterion according to its relative contribution to overall burn prioritization, and individual values for the criterion were scored according to how they influence the need to burn. Subsequently, this process has been validated and modified through ecological monitoring. This modeling process has also been applied to the 77,400-ha Blackwater River State Forest, public land adjacent to Eglin Air Force Base, demonstrating its applicability to lands with varying management priorities. The advantages of this model-based approach for prioritizing prescribed fire include the reliance on accessible, inexpensive software, the development of spatially explicit management objectives, the ease of transferability, and clearly stated assumptions about management that may be tested and reviewed through monitoring and public comment.     

秸秆焚烧对玉溪市大气PM10的影响解析研究

以水溶性钾为示踪元素,解析秋收季节秸秆焚烧对玉溪市大气PM10的贡献.结果表明,2001年秋收季节(10月)水溶性钾浓度(7.68μg/m3)比夏季水溶性钾浓度(2.38μg/m3)高3.2倍,与7月至12月份PM10浓度变化呈显著相关,相关系数为0.810.很显然,秋收季节秸秆焚烧对玉溪市大气PM10有负面影响.