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.     

浅谈秸秆资源的综合利用

本文从避免减少秸秆的焚烧、秸秆入河的角度,简要介绍了秸秆资源的综合利用,从而减轻了对大气环境和水环境的污染和危害,提高了资源的综合利用.     

稻草固体介质中白腐菌对喹啉的降解研究

研究了稻草固体介质中侧耳属白腐菌BP对喹啉的降解。实验结果表明,浓度分别为250mg/L和150mg/L喹啉的降解率能达到93.47%和97.40%。白腐菌BP可以有效对喹啉进行降解。漆酶和锰过氧化物酶在降解过程中起着较重要的作用,但酶活的高低与降解率大小并不完全成正比。高效液相色谱分析表明降解过程中没有中间代谢物的积累,喹啉能得到彻底矿化。     

高效喷淋泡沫脱硫技术及装置的应用

SO2是产生酸雨的主要气体，其主要来源于工业燃煤锅炉。以沈阳一家电厂为例，该厂选用新型高效的喷淋泡沫脱硫除尘器对锅炉排放的SO2进行治理。进入喷淋泡沫塔前的SO2平均浓度为2780mg／m^3，经脱硫后出塔平均浓度为289．3mg／m^3，去除率为89．6％。结果表明，这种有别于传统湿法的新型高效的喷淋泡沫脱硫技术及装置具有脱硫效率高、装置占地少、运行稳定、沉淀物易于回收利用等特点，对锅炉排放的SO2进行治理是非常有效的。     

焚烧秸秆对城市空气质量的影响及对策

通过夏收季节农民焚烧秸秆的烟尘，引起对城市环境空气质量变化的分析，结果表明：焚烧秸秆对城市环境空气质量有很大影响，使环境空气质量明显下降，而主要污染物为可吸入颗粒物PM10。有关部门应采取有效措施，禁止焚烧秸秆，同时应积极为农民寻找合理利用秸秆的途径，减少对城市空气的烟尘污染。     

不同粒度飞灰中16种微量元素的含量分布

研究了不同粒级的燃煤飞灰中的Ｂａ、Ｂｅ、Ｃｄ、Ｃｒ、Ｃｕ、Ｈｇ、Ｌｉ、Ｍｎ、Ｎｉ、Ｐｂ、Ｓｒ、Ｔｉ、Ｖ、Ｚｎ、Ｚｒ元素的含量分布,煤中元素的含量比及富集因子。     

白腐真菌与嗜热性侧孢霉复配对棉花秸秆降解的影响

为了解决农业固体废弃物棉花秸秆还田后的快速降解问题,本研究以棉花秸秆在白腐真菌和噬热性侧孢霉复配下的微生物降解为研究内容,通过对白腐真菌和噬热性侧孢霉拮抗试验、白腐真菌和噬热性侧孢霉复配对棉花秸秆降解的最优条件组合筛选试验、白腐真菌与噬热性侧孢霉复配在田间降解秸秆的系列研究进行分析,结果表明:(1)白腐真菌和噬热性侧孢霉两种菌株共存时不相互抑制菌丝生长,菌株之间不发生拮抗反应,可以对两种菌株进行复配形成棉花秸秆降解菌群;(2)根据L9(34)正交试验结果,综合考虑温度、氮添加量、菌种类型和料水比这四种因素对棉花秸秆中木质素、纤维素和酸性洗涤纤维的降解效果,室内降解棉花秸秆在最优组合条件温度45℃、氮添加量3%、料水比1/2,复合菌群下的效果最好;(3)田间降解试验进一步验证了室内降解实验结果的可靠性,在冬季低温和降雪等情况下,为期50 d的田间试验中复配菌组对棉花秸秆降解率达到29.93%。后续实验需要在考虑实际土壤磷素含量情况下,确定适合于棉花秸秆降解的磷素补充量来促进棉花秸秆在田间快速降解。本研究对农业固体废弃物棉花秸秆在田间的快速降解提供了一种有效的方法,具有很好的实践意义。     

Characterization of submicron particles during autumn in Beijing, China

In this study, we performed a highly time-resolved chemical characterization of nonrefractory submicron particles(NR-PM_1) in Beijing by using an Aerodyne high-resolution time-of-flight aerosol mass spectrometer(HR-ToF-AMS). The results showed the average NR-PM_1 mass concentration to be 56.4 ± 58.0 μg/m~3, with a peak at 307.4 μg/m~3. Due to the high frequency of biomass burning in autumn, submicron particles significantly increased in organic content, which accounted for 51% of NR-PM_1 on average. Secondary inorganic aerosols(sulfate + nitrate + ammonium) accounted for 46% of NR-PM_1, of which sulfate,nitrate, and ammonium contributed 15%, 20%, and 11%, respectively. To determine the intrinsic relationships between the organic and inorganic species, we used the positive matrix factorization(PMF) model to merge the high-resolution mass spectra of the organic species and NO+and NO_2~+ions. The PMF analysis separated the mixed organic and nitrate(NO+and NO_2~+) spectra into four organic factors, including hydrocarbon-like organic aerosol(HOA), oxygenated organic aerosol(OOA), cooking organic aerosol(COA), and biomass burning organic aerosol(BBOA), as well as one nitrate inorganic aerosol(NIA) factor. COA(33%) and OOA(30%) contributed the most to the total organic aerosol(OA) mass, followed by BBOA(20%) and HOA(17%). We successfully quantified the mass concentrations of the organic and inorganic nitrates by the NO+and NO2+ions signal in the organic and NIA factors. The organic nitrate mass varied from 0.01-6.8 μg/m~3, with an average of 1.0 ±1.1 μg/m~3, and organic nitrate components accounted for 10% of the total nitrate mass in this observation.     

7种改性水稻秸秆对溶液中Cd2+的吸附

为实现废弃水稻秸秆资源化利用及其治理水环境中Cd²⁺的污染问题,用KMnO₄、KOH、H₂O₂、KOH+H₂O₂、酒石酸、柠檬酸、TiO₂对水稻秸秆进行改性,制成不同的水稻秸秆吸附剂来吸附溶液中的Cd²⁺,利用扫描电子显微镜（SEM）、X射线衍射（XRD）、傅里叶红外光谱仪、比表面积及孔径分析仪和Zeta电位仪对改性前后的水稻秸秆进行表征分析,吸附过程采用准一级动力学方程、修正一级动力学方程、准二级动力学方程和颗粒内扩散模型进行拟合.结果表明：在Cd²⁺初始浓度100mg/L,pH7,水稻秸秆添加量为10g/L,25℃条件下,7种改性水稻秸秆吸附Cd²⁺的效果不同,其中经KMnO₄改性的水稻秸秆对Cd²⁺的吸附效果最好,吸附量达10.024mg/g,对Cd²⁺的去除率达到99.24%,比未改性水稻秸秆提高了99.44%,其次是KOH和KOH+H₂O₂改性处理的水稻秸秆,吸附量分别达到了9.302和9.189mg/g,对Cd²⁺的去除率分别达92.62%和90.82%,比未改性水稻秸秆分别提高了85.07%和82.83%.改性处理水稻秸秆吸附Cd²⁺的效果顺序为：KMnO₄ > KOH > KOH+H₂O₂ > TiO₂ > H₂O₂ > 柠檬酸 > 酒石酸.对于Cd²⁺的吸附过程,准一级速率方程只能较好地描述吸附初始阶段,准二级动力学方程则能很好地描述吸附的整个过程.经KMnO₄,KOH和KOH+H₂O₂改性的水稻秸秆是具有潜在利用价值的废水中Cd²⁺吸附剂.