基于Matlab分析的台阶式场地平整方案优化设计

在某市餐厨垃圾处理厂场地平整设计中,利用Matlab软件对台阶式场地平整方案进行优化设计,即在Auto CAD环境下用等高线法计算各级台阶的土方量,用Matlab软件拟合出台阶设计高程和土方量的函数关系式,在约束条件下求解,得到了最优设计高程和基于土方挖填平衡条件下场地平整的最小土方工程量,为工程总平面布置提供优化方案。其分析设计方法可为工业企业台阶式场地的总平面布置设计提供借鉴。     

生态旅游环境教育解说系统优化研究——以莫尔道嘎国家森林公园为例

环境教育功能是生态旅游区别于非生态旅游的根本特点,伴随生态旅游的迅速发展,生态环境的保护问题越发受到关注,而完善的环境教育解说系统对于生态旅游区的影响日渐凸显.以莫尔道嘎国家森林公园为例,通过调查分析指出环境教育解说系统存在着解说媒介、解说形式、解说功能与解说管理的缺失等问题,并提出环境解说媒介多元化、环境解说形式活态化、环境解说功能化及环境解说管理规范化等优化路径,以期生态旅游的环境教育功能得到有效发挥.     

随机价格下杉木人工林的碳汇收益及最优轮伐期确定

发展林业碳汇是应对全球气候变化及实现中国2060年碳中和的重要举措。基于改进的Faustmann-Hartman模型,以中国南方浙江、福建和江西三个省份杉木人工林为研究对象,使用时间序列模型拟合并预测中国碳排放权交易市场的碳汇价格,通过蒙特卡洛模拟确定最优轮伐期及碳汇收益。研究结果表明：（1）依次纳入木材收益、地上生物量碳汇收益和死亡有机质碳汇收益时,杉木人工林的最优轮伐期分别为21.85年、22.98年和22.88年;（2）上述三种情景下,林地期望价值的净现值分别为20408.20元/hm²、24587.29元/hm²和28101.11元/hm²;（3）全面考虑包含死亡有机质碳库在内的林业碳汇效益,能够稳定提高林地所有者收益约7.02%~21.61%。此外,应进一步考虑多轮伐期下税收政策及自然风险等因素对碳汇营林的影响,这是确定最优轮伐期和碳汇收益后续研究值得重视的问题。     

基于网络组织视角的粮食产业化模式与优化路径

在全球粮食安全状况严峻以及中国人多地少的形势下,探讨粮食的产业化发展具有重要意义。从网络组织视角出发,梳理了中国粮食产业化模式并提出优化路径。研究表明：粮食产业化发展是一个网络化的成长过程。基于网络主体控制与参与网络的能力、融资形式以及立足或服务的空间尺度,可以将粮食产业化模式划分为“国家调控跨国公司组织模式”“地方主导龙头企业带动模式”“政府主导社会多元主体参与模式”和“市场主导私营企业推动模式”这四类主要模式,分别对应介于市场组织与等级制组织之间的全球—区域—本地网络组织,并以跨国公司、本地龙头企业、产业化联合体、产业园区、产业集群等产业化组织形式呈现。进一步建议从提升网络主体开始,通过优化网络结构、强化网络载体、完善网络治理来指导粮食产业化的高质量发展。     

Comparison of a two-stage sampling design and its composite sample alternative: An application to soil studies

The objective of a long-term soil survey is to determine the mean concentrations of several chemical parameters for the pre-defined soil layers and to compare them with the corresponding values in the past. A two-stage random sampling procedure is used to achieve this goal. In the first step, n subplots are selected from N subplots by simple random sampling without replacement; in the second step, m sampling sites are chosen within each of the n selected subplots. Thus n · m soil samples are collected for each soil layer. The idea of the composite sample design comes from the challenge of reducing very expensive laboratory analyses: m laboratory samples from one subplot and one soil layer are physically mixed to form a composite sample. From each of the n selected subplots, one composite sample per soil layer is analyzed in the laboratory, thus n per soil layer in total. In this paper we show that the cost is reduced by the factor m — 1 when instead of the two-stage sampling its composite sample alternative is used; however, the variance of the composite sample mean is increased. In the case of positive intraclass correlation the increase is less than 12.5%; in the case of negative intraclass correlation the increase depends on the properties of the variable as well. For the univariate case we derive the optimal number of subplots and sampling sites. A case study is discussed at the end.     

Evaluation of Saccharomyces cerevisiae strains as probiotic agent with aflatoxin B1 adsorption ability for use in poultry feedstuffs

In this study the aflatoxin B₁ (AFB₁) removal capacity, the tolerance to salivary and gastrointestinal conditions, autoaggregation and coaggregation with pathogenic bacteria of Saccharomyces cerevisiae strains isolated from broiler feces, were evaluated. Only four of twelve isolated strains were identified as Saccharomyces cerevisiae using molecular techniques. The results obtained in AFB₁ binding studies indicated that the amount of AFB₁ removed was both strain and mycotoxin-concentration dependent. Therefore, a theoretical model was applied in order to select the most efficient strain to remove AFB₁ in a wide range of mycotoxin concentration. The results indicated that S. cerevisiae 08 and S. cerevisiae 01 strains were the most efficient microorganisms in the mycotoxin removal. Viability on simulated salivary and gastrointestinal conditions was investigated and S. cerevisiae 08 strain showed the best results, achieving 98% of total survival whereas S. cerevisiae 01 reached only 75%. Autoaggregation and coaggregation assays showed S. cerevisiae 08 as the most appropriate strain, mainly because it was the unique strain able to coaggregate with the four bacterial pathogens assayed. Consequently, S. cerevisiae 08 is the best candidate for future in vivo studies useful to prevent aflatoxicosis. Further quantitative in vitro and in vivo studies are required to evaluate the real impact of yeast-binding activity on the bioavailability of AFB₁ in poultry. However, this study could be useful in selecting efficient strains in terms of AFB₁ binding and provide an important contribution to research into microorganisms with potential probiotic effects on the host.     

Presence–Absence versus Abundance Data for Monitoring Threatened Species

Abstract:  Effective detection of population trend is crucial for managing threatened species. Little theory exists, however, to assist managers in choosing the most cost-effective monitoring techniques for diagnosing trend. We present a framework for determining the optimal monitoring strategy by simulating a manager collecting data on a declining species, the Chestnut-rumped Hylacola ( Hylacola pyrrhopygia parkeri ), to determine whether the species should be listed under the IUCN (World Conservation Union) Red List. We compared the efficiencies of two strategies for detecting trend, abundance, and presence–absence surveys, under financial constraints. One might expect the abundance surveys to be superior under all circumstances because more information is collected at each site. Nevertheless, the presence–absence data can be collected at more sites because the surveyor is not obliged to spend a fixed amount of time at each site. The optimal strategy for monitoring was very dependent on the budget available. Under some circumstances, presence–absence surveys outperformed abundance surveys for diagnosing the IUCN Red List categories cost-effectively. Abundance surveys were best if the species was expected to be recorded more than 16 times/year; otherwise, presence–absence surveys were best. The relationship between the strategies we investigated is likely to be relevant for many comparisons of presence–absence or abundance data. Managers of any cryptic or low-density species who hope to maximize their success of estimating trend should find an application for our results.     

固定化白地霉处理高硬度及高矿化度岩溶水的研究

为了使白地霉固定化小球处理太原市地下岩溶水达到最佳絮凝效果,分别研究了白地霉菌体的最佳扩大培养条件.同时,分别选用海藻酸钠(SA)、聚乙烯醇-海藻酸钠(PVA-SA)及聚乙烯醇-海藻酸钠-明胶(PVA-SA-明胶)作为固定化剂,固定化白地霉菌体,进行絮凝性能分析.最后,确定了固定化小球处理岩溶水的最佳搅拌时间及投加量,并与六水合氯化铝、自制三元复合吸附剂及壳聚糖的5%冰醋酸溶液的絮凝效果进行了比较.结果表明,将白地霉种子培养基按3%的接种量接入白地霉扩大培养基3中进行扩大培养,可在第2d获取活性较好的大量白地霉菌体进行固定化.处理岩溶水时应选用PVA-SA-明胶固定化的白地霉小球,并在其投加量为4g·L-1、搅拌时间为60min时,对岩溶水矿化度、硬度的最大絮凝率分别为96.88%、50.00%.经与化学混凝剂絮凝性能对比发现,微生物絮凝剂具有操作简便、无二次污染、絮凝效果较好的优点.     

基于最优分割理论的酸雨监控点位的分类研究

Fisher最优分割法是用离差平方和来表示同类样本之间的差异程度,通过简便的计算步骤和作图,确定最优分类数,使同类样本间的差异最小,各类别样本间的差异最大,并用F检验法检验最优分类数的合理性。文章根据Fisher最优分割法的理论内涵,研究其应用于酸雨环境监测优化布点的可行性。以漳州市沿海区域监测点为研究实例,用Fisher最优分割法确定最优的分类情况和最优的优化布点方案。结果表明,原布设的9个监测点用Fisher最优分割法优化为3个典型点位,可客观地反映漳州市酸雨控制区的整体污染状况和污染趋势,该方法理论内涵直观、计算简便、重复性好,对环境质量监测有重要的意义。     

厌氧微网反应器处理生活污水膜污染物研究

采用涤纶网加工的微网膜组件与厌氧反应器结合构成厌氧微网生物反应器用于处理城市生活污水。在不同反应器形式和水力停留时间条件下反应器稳定运行了144 d。研究结果表明完全搅拌反应器在膜通量12 L/(m2.h)条件下跨膜压差变化较小,整体出水水质高于无搅拌式反应器。通过膜面SS含量测定、粒径和三维荧光光谱分析等方法对膜面污染物进行了系统分析。无搅拌式AnFBR随着停留时间的延长,膜面污染物的SS减少,粒径减小;完全搅拌式AnFBR膜面污染物的SS最少,粒径最小。三位荧光分析表明SMP主要有2个类蛋白质荧光峰A和B,中心位置(Ex/Em)分别位于230~235/335~350 nm及280~290/330~355 nm,EPS样品中除了峰A和峰B外还有2个峰,峰C位置(Ex/Em)在340~350/435~445 nm,与类富里酸物质有关,峰D位于420~440/465~515 nm,与类腐殖酸物质有关。