A framework for allocating conservation resources among multiple threats and actions

Land managers decide how to allocate resources among multiple threats that can be addressed through multiple possible actions. Additionally, these actions vary in feasibility, effectiveness, and cost. We sought to provide a way to optimize resource allocation to address multiple threats when multiple management options are available, including mutually exclusive options. Formulating the decision as a combinatorial optimization problem, our framework takes as inputs the expected impact and cost of each threat for each action (including do nothing) and for each overall budget identifies the optimal action to take for each threat. We compared the optimal solution to an easy to calculate greedy algorithm approximation and a variety of plausible ranking schemes. We applied the framework to management of multiple introduced plant species in Australian alpine areas. We developed a model of invasion to predict the expected impact in 50 years for each species-action combination that accounted for each species’ current invasion state (absent, localized, widespread); arrival probability; spread rate; impact, if present, of each species; and management effectiveness of each species-action combination. We found that the recommended action for a threat changed with budget; there was no single optimal management action for each species; and considering more than one candidate action can substantially increase the management plan's overall efficiency. The approximate solution (solution ranked by marginal cost-effectiveness) performed well when the budget matched the cost of the prioritized actions, indicating that this approach would be effective if the budget was set as part of the prioritization process. The ranking schemes varied in performance, and achieving a close to optimal solution was not guaranteed. Global sensitivity analysis revealed a threat's expected impact and, to a lesser extent, management effectiveness were the most influential parameters, emphasizing the need to focus research and monitoring efforts on their quantification.     

利用木薯渣进行纤维素分解菌混合发酵工艺研究

从自然界中筛选出6株相互间无拮抗作用的纤维素分解菌进行混合发酵,研究了该混菌以工业废弃物木薯渣为原料发酵的最佳产酶条件是:培养基配方为木薯渣4 g,黄豆粉0.75 g,KH2PO40.20 g,NaCl 0.02g,MgSO4·7H2O 0.015 g,蒸馏水1 000 mL;发酵工艺为初始pH=7.0,培养温度40℃,每250 mL锥形瓶装培养液140mL,接种量3%,在140 r·min-1转速下发酵72 h.结果表明,混合菌的发酵可大幅度提高纤维素酶活力及对还原糖的耐受力.     

高效石油降解菌的筛选鉴定及修复能力研究

为了得到高效的石油降解菌,本研究利用以柴油为唯一碳源的培养基从山东胜利油田、新疆克拉玛依油田和陕西长庆油田3处的石油污染土壤中富集纯化出3株高效的石油降解菌,分别命名为WTS、Z3-P和H4-1.测试结果显示,经过10d的降解实验,这3株降解菌对柴油的降解率均达到60%以上,降解效果良好,其中,WTS的降解效率最高,达到75%;用这3株菌进行污染土壤的修复实验,污染土壤中石油烃降解半衰期为30d左右,为自然情况下的1/4左右.对石油降解菌进行生理生化反应鉴定以及细菌16S rRNA鉴定结果表明,WTS是柠檬酸杆菌(Citrobacter sp.),H4-1是木糖氧化产碱菌(Alcaligenes xylosoxydans),Z3-P为芽孢杆菌(Bacillus sp.).     

Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-off pollutant concentrations from non-point sources (NPSs). Pollutant loads could also be calculated using rainfall, catchment area and runoff coefficient. In this study, runoff quantity and quality data gathered from a 28-month monitoring conducted on the road and parking lot sites in Korea were evaluated using multiple linear regression (MLR) to develop equations for estimating pollutant loads and EMCs as a function of rainfall variables. The results revealed that total event rainfall and average rainfall intensity are possible predictors of pollutant loads. Overall, the models are indicators of the high uncertainties of NPSs; perhaps estimation of EMCs and loads could be accurately obtained by means of water quality sampling or a long term monitoring is needed to gather more data that can be used for the development of estimation models.     

湿地植物在城镇污水处理系统中的作用特性研究

将不同类型湿地植物如凤眼莲、荇菜、稗草、黑藻、皇竹草、美人蕉等,引入城镇污水处理系统,考察其对污染物的去除效果和在湿地组合系统中的作用特性。盆栽实验发现,虽然植物对污水N、P营养元素的直接去除率分别只有14.0%～59.4%和8.6%～55.2%,但植物通过过滤、截留及加强有机物降解转化的作用,对水体中污染物的去除具有协同效应,使水体N、P的总去除率分别达65.4%～83.8%和43.5%～69.5%。将植物引入组合处理系统,中试实验结果表明,水体TN、TP和COD月平均去除率分别高达80.4%、74.3%和81.3%。与常规生化处理系统相比,处理效果大为增强,生化反应的能耗相对减少,出水水质较稳定,使湿地组合系统成为一种去N除P,防止水体富营养化的有效处理方法。     

示踪技术用于气体泄漏扩散模拟的多元线性回归分析

采用江苏工业学院油气储运安全综合实验模型平台,利用示踪技术(以CO2为示踪剂),模拟了有害气体瞬时泄漏扩散的整个过程.并结合多元线性回归分析的基本方法,定量分析了气体泄漏扩散过程,建立了多元线性回归模型,初步确定了泄漏气体浓度与相关物理量的变化关系,在此基础上得到了2个定量评价指标:确定性系数R=0.991,相关系数r=0.995.研究表明,在实验室建立的试验模型能较好地反映现实情况,模型仿真度较高,数据拟合效果较好.研究可为评价模型的相似性提供理论参考,对有害气体泄漏扩散事故应急救援、实施有效的现场控制,具有一定的科学参考价值.     

影响工业废水中BOD_5测定因素的分析与研究

采用稀释与接种法测定工业废水中的BOD5,并结合CODcr的测定结果,分析影响BOD5测定的因素如稀释倍数、接种液配比等条件进行试验后,得出了最佳试验条件,从而达到提高测定BOD5准确度的目的。     

抗铅、镉菌株对土壤铅、镉生物有效性的影响

将从土壤中分离到的2株能同时耐铅(Pb)、镉(Cd)的抗性菌株(编号为H1和H2)分别接种至Pb、Cd污染的土壤中进行小白菜盆栽试验,研究2株抗性菌株对土壤Pb、Cd生物有效性的影响。结果表明:H1菌株可专一性的钝化交换态Cd,降幅为43.78%,并能显著促进小白菜地上部生长,与对照相比增产79.62%;H2菌可同时降低交换态Pb、Cd的比重,降幅分别为30.31%和27.61%,但小白菜产量与对照无显著差异。此外,与对照相比,接菌处理均能显著降低小白菜地上部Pb、Cd含量。     

优势菌种对餐厨垃圾高温好氧消化的促进

为研究优势菌种对餐厨垃圾高温好氧消化(TAD)的促进作用,本研究通过淀粉水解、油脂降解及明胶液化等生化实验,从餐厨垃圾中筛选出若干对其主要成分具有显著降解效果的优势菌种。通过对样品水溶性TOC(TOCw)、水溶性凯氏氮(KNw)、水溶性C/N(KNw)、pH以及含水率等指标的分析,考察优势菌种对餐厨TAD的促进作用。研究表明,优势菌种制剂最优添加量为1%。在此剂量下,好氧消化60 h,TOCw由8.53%降低为2.49%,C/Nw由18.71降低至6.14,以上指标说明加入优势菌种可加速TAD反应。添加量1%样本的水溶性凯氏氮和pH在反应48 h后开始回升,而未添加生物制剂的样本相关参数回升时间需96 h以上,由此推断优势菌种对TAD的促进机制是加快了蛋白质等大分子有机物的降解速度。