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141.
142.
通过施肥因子对玉米产量的分析,研究影响作物产量的各施肥因子的影响程度.通过关联因子和关联序分析,提出一套切实可行的施肥方案.并为今后研究作物施肥提供一条新的行之有效的研究途径和一种新的方法.研究结果表明:在玉米高产施肥中,施肥与产量之间的关联序为:基N>追N>总N>总K>追K>基P>追P>总P(总N>总K>总P),粒N>苗N>穗N>穗K>粒P>苗K>苗P>穗P>粒K.这为玉米高产施肥提供了重要的理论依据,并为作物施肥技术研究开辟了一条新路. 相似文献
143.
This paper is concerned with the question of ranking a finite collection of objects when a suite of indicator values is available for each member of the collection. The objects can be represented as a cloud of points in indicator space, but the different indicators (coordinate axes) typically convey different comparative messages and there is no unique way to rank the objects while taking all indicators into account. A conventional solution is to assign a composite numerical score to each object by combining the indicator information in some fashion. Consciously or otherwise, every such composite involves judgments (often arbitrary or controversial) about tradeoffs or substitutability among indicators. Rather than trying to combine indicators, we take the view that the relative positions in indicator space determine only a partial ordering and that a given pair of objects may not be inherently comparable. Working with Hasse diagrams of the partial order, we study the collection of all rankings that are compatible with the partial order (linear extensions). In this way, an interval of possible ranks is assigned to each object. The intervals can be very wide, however. Noting that ranks near the ends of each interval are usually infrequent under linear extensions, a probability distribution is obtained over the interval of possible ranks. This distribution, called the rank-frequency distribution, turns out to be unimodal (in fact, log-concave) and represents the degree of ambiguity involved in attempting to assign a rank to the corresponding object. Stochastic ordering of probability distributions imposes a partial order on the collection of rank-frequency distributions. This collection of distributions is in one-to-one correspondence with the original collection of objects and the induced ordering on these objects is called the cumulative rank-frequency (CRF) ordering; it extends the original partial order. Although the CRF ordering need not be linear, it can be iterated to yield a fixed point of the CRF operator. We hypothesize that the fixed points of the CRF operator are exactly the linear orderings. The CRF operator treats each linear extension as an equal voter in determining the CRF ranking. It is possible to generalize to a weighted CRF operator by giving linear extensions differential weights either on mathematical grounds (e.g., number of jumps) or empirical grounds (e.g., indicator concordance). Explicit enumeration of all possible linear extensions is computationally impractical unless the number of objects is quite small. In such cases, the rank-frequencies can be estimated using discrete Markov chain Monte Carlo (MCMC) methods. 相似文献
144.
James E. Bowie Marvin T. Bond 《Journal of the American Water Resources Association》1977,13(6):1269-1280
ABSTRACT: Many wells produce water that is highly colored by organic substances. Colored water may cause aesthetic, economic, and health problems for the cities using it as a municipal supply. Characterization of water from a number of wells showed that the color causing compounds were hydroxylated aromatic carboxylic acids which were precipitated below pH 4.5 and were almost completely ionized above pH 4.5. Through jar tests, a chemical precipitation-coagulation treatment system was developed. The optimal sequence of chemical addition was alum first, followed by pH adjustment and addition of a polyelectrolyte. Rapid mix tests demonstrated the need for a reaction period after alum and after acid addition, and that the rapid mix time controlled floc size for a given flocculation period. Flocculation tests, varying both the floc time and mean velocity gradient, G, showed that an optimum G exists for each floc time and that the residual color decreased with decreasing values of velocity gradient. 相似文献
145.
Different ranking methods: potentialities and pitfalls for the case of European opinion poll 总被引:1,自引:0,他引:1
Paola Annoni 《Environmental and Ecological Statistics》2007,14(4):453-471
Prioritization and ranking of objects are primary needs in various substantive fields. It might be said that ranking and comparison
are the first step in every risk assessment procedure, whatever the ‘risk’ is intended as: social, environmental, political
or economic. Often objects to be ranked are valued by a multi-dimensional attribute which is usually transformed into a composite
numerical score. In spite of conventional solutions, the author agrees with recent recommendations of performing multiple
ranking, keeping indicators separated. Different innovative methods are analyzed and compared: Hasse diagrams method, POSAC
and Nonlinear PCA. The first one stems directly from partial order theory, the second one may be seen as an approximation
of Hasse representation in a two dimensional space, whilst the third one belongs to the wide set of non-linear multivariate
techniques and it is particularly suitable in handling data of categorical type. Among them, the first two methods compare
objects on the basis only on order property of data, whilst the last one simultaneously performs an optimal scale of qualitative
attributes and a ranking of objects. The case study is based on the Eurobarometer survey carried out in 2002, at the request
of the European Commission, which collects Europeans opinion about various political and social issues. The analysis is focused
on users’ level of satisfaction about access easiness, cost, quality, information received and contracts of various services
of general interest, such as telephone services, power (gas and electricity) providers, water and postal utilities, urban
and rail transports. Separate indicators are set up for each facet of each service within different European regions. Eventually,
the ranking of European regions is performed on the basis of the overall performance of services of general interest, as perceived
by users. Selected methods lead to almost alike results, still with some differentiations due to different approaches used.
As it frequently occurs, each method has its own advantages and pitfalls which are here explored and compared. 相似文献
146.
超声协同Fe0@Fe3O4降解四氯化碳 总被引:1,自引:0,他引:1
采用附着在Fe_3O_4纳米颗粒上的纳米零价铁(n ZVI)对四氯化碳(CCl4)还原脱氯.同时,利用SEM和BET等技术对Fe~0@Fe_3O_4的表面形貌和粒径进行表征,探究了不同反应条件如Fe~0@Fe_3O_4投加量、超声功率、初始pH值、温度和CCl4初始浓度对CCl4去除率的影响.最后,比较了Fe~0@Fe_3O_4、n ZVI和Fe_3O_4颗粒对CCl4的去除效果.结果表明,Fe~0@Fe_3O_4比n ZVI比表面积更大、分散性更好.超声功率和温度的提高对CCl4的降解有明显的促进作用.在最佳条件(催化剂投加量0.5 g·L-1,超声功率300 W,初始pH=7.0,温度30℃,CCl4初始浓度2 mg·L-1)下,Fe~0@Fe_3O_4复合材料在60 min内对CCl4的去除效率为88.5%,明显高于n ZVI(60.9%)和Fe_3O_4颗粒(13.2%).Fe~0@Fe_3O_4对CCl4去除过程符合伪一级动力学模型. 相似文献
147.
为优选首采层作为保护层开采,选取5个一级指标和19个二级指标,建立以AHP(层次分析法)和TOPSIS(逼近理想解排序法)为基础的煤层突出危险性评价模型,通过层次分析法确定各指标的权重,结合逼近理想解排序法分析贴近度并预测出煤层突出危险可能性,并进行现场工业性实验。结果表明:AHP-TOPSIS综合评判法预测优选8号煤层作为保护层开采,并经现场工业性实验验证,瓦斯解放效果较好。该方法结合主观因素和客观因素,避免单一地从主观出发或从客观出发带来的决策失误,并选取大量评价指标,使预测结果更贴合实际情况,可作为优选保护层的理论依据。 相似文献
148.
高铁酸钾处理水中十六烷基三甲基溴化铵 总被引:5,自引:0,他引:5
室温条件下采用新型氧化剂高铁酸钾(K2FeO4)处理十六烷基三甲基溴化铵(CTAB)模拟废水,探讨反应时间、K2FeO4投加量及体系pH值等因素对CTAB去除率的影响.结果表明,反应时间、K2FeO4投加量及溶液pH值对CTAB的去除率均有不同程度的影响,当反应时间为30 min、K2FeO4投加量与处理液中CTAB质量比为1∶1、溶液pH为7时,K2FeO4对表面活性剂CTAB的去除率达79.4%.在反应过程中,K2FeO4的强氧化性与其还原产物的絮凝作用产生协同效应,其中K2FeO4在完全反应之前CTAB的去除主要依靠K2FeO4的强氧化作用,K2FeO4反应完全之后CTAB的去除则主要依靠K2FeO4还原产物的絮凝作用.同时进一步研究了CTAB被处理前后的红外光谱特征,结果表明CTAB在降解过程中经历了链的断裂并进一步被矿化为无机小分子.化学反应动力学研究结果表明K2FeO4与CTAB的反应符合二级反应动力学规律. 相似文献
149.
沼气产生的两步一级反应耦合模型 总被引:3,自引:1,他引:2
根据有机物厌氧产生沼气的生化机理,假设沼气通过两步相互衔接的一级反应生成,即复杂有机物的水解酸化反应和简单有机酸的产气反应.根据假设,建立了基于两步一级反应耦合的沼气产气率与产气量随时间变化的数学模型.该模型用统一的数学公式对沼气产气率随时间变化的倒“U”形曲线进行了解释,指出这一过程是两步相互衔接的一级反应相互作用的结果.已知有机物质量,通过拟合或根据经验得出K值后,利用该模型可解出任一时刻有机物的产气率、产气量、最大产气率及其发生的时间.拟合表明,两步反应的反应常数趋于相等.利用该模型可导出已有的Scholl Canyon模型,并可对Palos Verdes模型和Sheldon Arleta模型的经验假设进行解释. 相似文献
150.