Evaluating the ecological benefits of wildfire by integrating fire and ecosystem simulation models

Fire managers are now realizing that wildfires can be beneficial because they can reduce hazardous fuels and restore fire-dominated ecosystems. A software tool that assesses potential beneficial and detrimental ecological effects from wildfire would be helpful to fire management. This paper presents a simulation platform called FLEAT (Fire and Landscape Ecology Assessment Tool) that integrates several existing landscape- and stand-level simulation models to compute an ecologically based measure that describes if a wildfire is moving the burning landscape towards or away from the historical range and variation of vegetation composition. FLEAT uses a fire effects model to simulate fire severity, which is then used to predict vegetation development for 1, 10, and 100 years into the future using a landscape simulation model. The landscape is then simulated for 5000 years using parameters derived from historical data to create an historical time series that is compared to the predicted landscape composition at year 1, 10, and 100 to compute a metric that describes their similarity to the simulated historical conditions. This tool is designed to be used in operational wildfire management using the LANDFIRE spatial database so that fire managers can decide how aggressively to suppress wildfires. Validation of fire severity predictions using field data from six wildfires revealed that while accuracy is moderate (30-60%), it is mostly dictated by the quality of GIS layers input to FLEAT. Predicted 1-year landscape compositions were only 8% accurate but this was because the LANDFIRE mapped pre-fire composition accuracy was low (21%). This platform can be integrated into current readily available software products to produce an operational tool for balancing benefits of wildfire with potential dangers.     

Fe-Mn-sepiolite as an effective heterogeneous Fenton-like catalyst for the decolorization of reactive brilliant blue

A study of the decolorization of reactive brilliant blue in an aqueous solution using Fe-Mn-sepiolite as a heterogeneous Fenton-like catalyst has been performed. The Fourier transform infrared (FTIR) spectra of the catalyst showed bending vibrations of the Fe-O. The X-ray diffraction (XRD) patterns of the catalyst showed characteristic diffraction peaks of α-Fe₂O₃, γ-Fe₂O₃ and MnO. A four factor central composite design (CCD) coupled with response surface methodology (RSM) was applied to evaluate and optimize the important variables (catalyst addition, hydrogen peroxide dosage, initial pH value and initial dye concentration). When the reaction conditions were catalyst dosage= 0.4 g, [H₂O₂]= 0.3 mL, pH= 2.5, [reactive brilliant blue]_o = 50 mg·L⁻¹, and volume of solution= 500 mL at room temperature, the decolorization efficiency of reactive brilliant blue was 91.98% within 60 min. Moreover, the Fe-Mn-sepiolite catalyst had good stability for the degradation of reactive brilliant blue even after six cycles. Leaching of iron ions (<0.4 mg·L⁻¹) was observed. The decoloring process was reactive brilliant blue specific via a redox reaction. The benzene ring and naphthalene ring were first oxidized to open ring; these were then oxidized to the alcohol and carboxylic acid. The reactive brilliant blue was decomposed mainly by the attack of ·OH radicals including surface-bound ·OH radicals generated on the catalyst surface.     

成都平原蔬菜生产中灌溉水对农药渗漏的影响研究

针对成都平原蔬菜生产中大量施用农药、大量灌水的特点,首次在国内应用欧洲官方成熟的农药评估模型——PEARL模型,研究评估了成都平原当前蔬菜生产中的灌溉方式对两种不同特性农药的渗漏的影响。杀毒矾(土壤吸附力(KOM)为0 L/kg,半衰期(DT50)为80 d)在没有灌溉条件下,其渗出土体时的最大质量浓度是190μg.L-1,而有灌溉条件下其渗出质量浓度则可达523μg.L-1,是没有灌溉条件下的2.75倍。三唑磷(KOM为200 L.kg-1,DT50为60 d)在没有灌溉条件下,其渗出土体时的最大质量浓度是0.025μg.L-1,而有灌溉条件下其渗出质量浓度为0.13μg.L-1,比没有灌溉时提高了4.2倍。不管有没有灌溉三唑磷在该地区对地下水的污染风险都很小,而杀毒矾的风险则很高。因此,农药的化学特性是影响农药渗漏的最重要的因子。在蔬菜生产中应尽量选用被土壤吸附力强、半衰期短的农药,例如:三唑磷;农药在土壤中的移动载体是土壤水,不合理的灌溉会大大地加大农药淋溶,应当多使用微喷、滴灌等节水灌溉措施,减少使用漫灌等耗水多的原始灌溉方式。     

Population viability and harvest sustainability for Madagascar lemurs

Subsistence hunting presents a conservation challenge by which biodiversity preservation must be balanced with safeguarding of human livelihoods. Globally, subsistence hunting threatens primate populations, including Madagascar's endemic lemurs. We used population viability analysis to assess the sustainability of lemur hunting in Makira Natural Park, Madagascar. We identified trends in seasonal hunting of 11 Makira lemur species from household interview data, estimated local lemur densities in populations adjacent to focal villages via transect surveys, and quantified extinction vulnerability for these populations based on species-specific demographic parameters and empirically derived hunting rates. We compared stage-based Lefkovitch with periodic Leslie matrices to evaluate the impact of regional dispersal on persistence trajectories and explored the consequences of perturbations to the timing of peak hunting relative to the lemur birth pulse, under assumptions of density-dependent reproductive compensation. Lemur hunting peaked during the fruit-abundant wet season (March–June). Estimated local lemur densities were roughly inverse to body size across our study area. Life-history modeling indicated that hunting most severely threatened the species with the largest bodies (i.e., Hapalemur occidentalis, Avahi laniger, Daubentonia madagascariensis, and Indri indi), characterized by late-age reproductive onsets and long interbirth intervals. In model simulations, lemur dispersal within a regional metapopulation buffered extinction threats when a majority of local sites supported growth rates above the replacement level but drove regional extirpations when most local sites were overharvested. Hunt simulations were most detrimental when timed to overlap lemur births (a reality for D. madagascariensis and I. indri). In sum, Makira lemurs were overharvested. Regional extirpations, which may contribute to broad-scale extinctions, will be likely if current hunting rates persist. Cessation of anthropogenic lemur harvest is a conservation priority, and development programs are needed to help communities switch from wildlife consumption to domestic protein alternatives.     

Electrocoagulation process for the treatment of metal-plating wastewater: Kinetic modeling and energy consumption

The wastewater from industrial area was treated by EC via Fe and Al electrodes. Cu, Ni, Cr and Zn were highly removed at the first minutes, simultaneously. Pseudo-2nd-order was found to be more suitable for kinetics. Adsorption capacities based on kinetic modeling were observed as Cr>Cu>Ni>Zn. The chemical cost in the case of pH adjustment after EC was less as 3.83 $/m³. It is known that wastewater produced by the metal-plating industry contains several heavy metals, which are acidic in nature and therefore toxic for the environment and for living creatures. In particular, heavy metals enter the food chain and accumulate in vital organs and cause serious illness. The precipitation of these metals is mostly achieved by pH adjustment, but as an alternative to this method, the electrocoagulation process has investigated in this study using iron and aluminum electrodes. The effects of the pH adjustment on removal before and after the electrocoagulation process were investigated, and cost analyses were also compared. It was observed that a high proportion of removal was obtained during the first minutes of the electrocoagulation process; thus, the current density did not have a great effect. In addition, the pH adjustment after the electrocoagulation process using iron electrodes, which are 10% more effective than aluminum electrodes, was found to be much more efficient than before the electrocoagulation process. In the process where kinetic modeling was applied, it was observed that the heavy metal removal mechanism was not solely due to the collapse of heavy metals at high pH values, and with this modeling, it was seen that this mechanism involved adsorption by iron and aluminum hydroxides formed during the electrocoagulation process. When comparing the ability of heavy metals to be adsorbed, the sequence was observed to be Cr>Cu>Ni>Zn, respectively.     

伯胺N1923反应萃取含Cr~(6+)废水的研究

考察了伯胺N 1 92 3 煤油从硫酸介质中对Cr6 + 的萃取 ,萃取属络合反应机理 ,有机相中主要生成伯胺N1 92 3∶Cr =2∶1的萃合物。探讨了初始水相酸度 ,萃取剂含量 ,温度等对萃取平衡分配系数的影响。对萃取反应中出现的“第三相”问题进行了研究 ,并提出了消除的方法。     

河口-近海环境新污染物的环境过程、效应与风险

在全球变化和人类活动双重影响下,大量陆源污染物特别是备受各国政府和民众关注的微塑料、新型持久性有机污染物以及药物和个人护理品等新污染物进入水体环境并迁移扩散,对近海生态环境安全和人体健康产生了巨大影响.综述国内外微塑料、全/多氟化合物、抗生素和内分泌干扰物等新污染物在河口-近海环境中的污染来源、时空分布和迁移传输等环境过程及其影响因素,分析探讨近海水生生态系统中新污染物产生的不良生态效应和风险,提出未来研究重点应关注河口-近海环境中多种新污染物的相互作用和新污染物产生的联合生态毒理效应及造成的生态和健康风险等,为陆海统筹下的海洋污染防治和海洋经济的健康发展提供科学依据.     

2021年夏季新乡市城区臭氧超标日污染特征及敏感性

基于2021年6～8月新乡市市委党校站点观测的挥发性有机物(VOCs)、常规空气污染物和气象参数,采用基于观测的模型(OBM)对臭氧(O₃)超标日的O₃敏感性和前体物的管控策略进行了研究.结果发现,O₃超标日呈现高温、低湿和低压的气象特征.在臭氧超标日,O₃及其前体物的浓度均有上升.臭氧超标日的VOCs最高浓度组分为含氧挥发性有机物(OVOCs)和烷烃,臭氧生成潜势(OFP)和·OH反应性最大的VOCs组分为OVOCs.通过相对增量反应性(RIR)分析,新乡6月O₃超标日臭氧生成处于VOCs控制区,7月和8月处于VOCs和氮氧化物(NO_x)协同控制区,臭氧生成对烯烃和OVOCs最为敏感.6月各前体物的RIR值在一天中会发生变化,但始终保持为VOCs控制区;7月和8月在上午为VOCs控制区,中午为协同控制区,下午分别为协同控制区和NO_x控制区.通过模拟不同前体物削减情景,结果表明削减VOCs始终有利于管控臭氧,而削减NO_x     

青岛地区边界层特征及酸雨成因

青岛地区边界层风场与温度场垂直分布很特殊，在１５００ｍ高度以下风场，近地面层风速较小，３００—４００ｍ高度风速较大，５００ｍ以上风速减小，１０００ｍ以上又逐渐增大．温度层结早晚稳定，午后２００ｍ以下不稳定，混合层不高，一般在４００ｍ左右，有时可达７００ｍ，低空经常出现多层逆温．冬季盛行偏北风，夏季盛行偏南风，并经常受江淮气旋和黄淮气旋影响，气旋经过青岛地区时，流场经常出现上、下辐合气流．引入平直和上、下切变两种气流，应用平流扩散方程，对青岛地区连续点源所排放的污染物作模式计算，结果表明，在单一平直气流时，污染物传输较远，但浓度轴线也在一定距离上与地面相交．尤其是在雨天，污染物只在局地散布，浓度较大．当风向出现上、下层切变时，污染物传输范围受限制，这些污染物质在雨天经过化学变化即在近距离形成酸雨．