内陆水体后向散射系数模拟研究

在利用半分析方法结合光学闭合原理模拟水体后向散射系数的过程中,参考波长的选择对最终结果有较大影响.为了得出最佳参考波长的影响因子,利用太湖、巢湖和滇池的野外实测数据,对后向散射系数进行模拟,进而分析水体的最佳参考波长与其对应的水质参数浓度之间的变化规律.同时,建立了太湖、巢湖和滇池水体的后向散射系数曲线的幂函数光谱模型,获得的光谱指数分别为2.643±0.317、 2.719±0.242、 1.638±0.534.结果表明：①以整个湖泊为研究对象时,最佳参考波长随着湖泊水体中总颗粒物浓度c_SPM、有机颗粒物浓度c_SPOM和叶绿素浓度c_CHL平均值的增大而向长波方向移动,太湖、巢湖和滇池水体的最佳参考波长分别为695、 720和730 nm;②以单个湖泊的各个样点为研究对象时,由于内陆湖泊光学特性的复杂性,最佳参考波长的影响因子存在一定差异,但c_SPM是一个共同的影响因子.此外,过高的c_CHL将削弱水质参数浓度与最佳参考波长间的规律性;③在以无机颗粒物为主的水体中,后向散射系数与总颗粒物浓度之间存在更好的相关性,如在太湖水体中,R²达到0.852.     

混合物质谱的简单分类算法

有毒化合物质谱分类是以光谱数据的数值特性为基础的。这此数据的计算机分类提供了各种参数,用以确定属于有毒化合物中某一类的对应化合物。质谱数据的简单分类算法常被用于自相关变换质谱的主分量建模。主分量的有效值为相互确认为确定。对环境空气中１１９种被监测的有毒化合物,有色谱－质谱联用的试验和校正数据所得到的４类预报正确率为７６．５％。     

木薯乙醇-汽油混合燃料生命周期排放多目标优化研究

建立了木薯乙醇-汽油混合燃料生命周期排放单目标和多目标优化模型.以生命周期CO,NO_x,PM,HC,SO_x,CO₂排放为优化目标,对木薯乙醇-汽油混合燃料生命周期排放进行了单目标及多目标优化,并进行了灵敏度分析.结果表明:多目标优化后木薯乙醇-汽油混合燃料的混合比例为63%.与原始值相比,多目标优化后生命周期CO排放略有升高,NO_x升高15%,PM升高19%;生命周期HC、SO_x和CO₂分别降低8%、50%和21%.     

RS-PSO-ELM下腐蚀管道失效压力预测

为提高腐蚀管道失效压力的预测精度并简化其计算过程,提出基于粗糙集(RS)和粒子群算法(PSO)融合极限学习机(ELM)的腐蚀管道失效压力预测模型。通过属性约简提取影响失效压力的关键因素,选用PSO优化ELM的输入权值和隐含层偏差,将归一化的核心指标数据代入计算。结果表明:该模型预测结果与实际值基本一致,与单一ELM模型相比,预测结果的均方差(MSE)降至0.255;与其他蚀管道失效压力评价模型相比,该模型预测结果的绝对误差平均值降至0.32。     

Effective conservation planning of Iberian amphibians based on a regionalization of climate-driven range shifts

Amphibians are severely affected by climate change, particularly in regions where droughts prevail and water availability is scarce. The extirpation of amphibians triggers cascading effects that disrupt the trophic structure of food webs and ecosystems. Dedicated assessments of the spatial adaptive potential of amphibian species under climate change are, therefore, essential to provide guidelines for their effective conservation. I used predictions about the location of suitable climates for 27 amphibian species in the Iberian Peninsula from a baseline period to 2080 to typify shifting species’ ranges. The time at which these range types are expected to be functionally important for the adaptation of a species was used to identify full or partial refugia; areas most likely to be the home of populations moving into new climatically suitable grounds; areas most likely to receive populations after climate adaptive dispersal; and climatically unsuitable areas near suitable areas. I implemented an area prioritization protocol for each species to obtain a cohesive set of areas that would provide maximum adaptability and where management interventions should be prioritized. A connectivity assessment pinpointed where facilitative strategies would be most effective. Each of the 27 species had distinct spatial requirements but, common to all species, a bottleneck effect was predicted by 2050 because source areas for subsequent dispersal were small in extent. Three species emerged as difficult to maintain up to 2080. The Iberian northwest was predicted to capture adaptive range for most species. My study offers analytical guidelines for managers and decision makers to undertake systematic assessments on where and when to intervene to maximize the persistence of amphibian species and the functionality of the ecosystems that depend on them.     

Boosting large-scale river connectivity restoration by planning for the presence of unrecorded barriers

Conservation decisions are invariably made with incomplete data on species’ distributions, habitats, and threats, but frameworks for allocating conservation investments rarely account for missing data. We examined how explicit consideration of missing data can boost return on investment in ecosystem restoration, focusing on the challenge of restoring aquatic ecosystem connectivity by removing dams and road crossings from rivers. A novel way of integrating the presence of unmapped barriers into a barrier optimization model was developed and applied to the U.S. state of Maine to maximize expected habitat gain for migratory fish. Failing to account for unmapped barriers during prioritization led to nearly 50% lower habitat gain than was anticipated using a conventional barrier optimization approach. Explicitly acknowledging that data are incomplete during project selection, however, boosted expected habitat gains by 20–273% on average, depending on the true number of unmapped barriers. Importantly, these gains occurred without additional data. Simply acknowledging that some barriers were unmapped, regardless of their precise number and location, improved conservation outcomes. Given incomplete data on ecosystems worldwide, our results demonstrate the value of accounting for data shortcomings during project selection.     

泸州市降水监测布点优化研究

在泸州市2016—2020年大气降水监测数据的基础上,借助聚类分析、多元方差分析等统计分析手段,对原有降水监测点位进行优化研究,并验证优化结果。在遵循《酸沉降监测技术规范》(HJ/T 165—2004)点位布设要求的前提下,建立了降水监测点位评价体系,从原有7个降水监测点位中优化筛选出3个。优化后的点位对监测结果的影响显著性均>0.05,表明优化前后全市降水数据无显著性差异,该优化方案不会影响区域整体代表性。     

基于指标规范值的地表水水质的模糊综合评价

传统的模糊综合评价法用于地表水水质评价,当指标数较多时需要设计很多隶属函数,设计和计算工作量皆很大,实际使用不便。在设定指标参照值和规范变换式基础上,将指标按各级标准规范值相近程度进行适当分类,只需分类设计隶属函数即可,大幅减少了计算工作量,使模糊综合评价法应用于地表水水质评价变得简化。     

超声波加湿室内微生物气溶胶浓度与优化方法

为明确超声波加湿对冬季供暖室内微生物气溶胶粒径与浓度分布的影响,以及降低暴露风险的有效方法,针对典型办公室环境,基于模拟实验法与正交试验法,探究不同相对湿度(RH=40％、55％、70％)、加湿器水质(蒸馏水、自来水、凉白开)和窗户开度(0、1/6、1/3)下,超声波加湿前后室内细菌、真菌气溶胶按粒径分级的浓度变化,并...     

模式搜索算法在毒气泄漏中的源强反算

基于泄漏源下风向的浓度监测数据并结合大气扩散模式建立反算模型,以确定泄漏源的位置和强度。以扩散模式仿真的浓度数据与监测数据的匹配度作为目标函数,将反演问题转化为优化问题,利用模式搜索算法迭代优化。以高斯模型为例验证了算法的可行性,结果表明利用探测器提供的测量浓度值,模式搜索算法能够在较短时间内搜索到最优解,在计算复杂性或时间上较梯度型算法和智能优化算法有一定优势。该算法能够及时而准确地反算出泄漏源强度和位置,为事故的应急响应与救援提供依据。