观测误差对非线性环境模型参数识别的影响

采用SCE-UA方法和RSA方法，比较了在不同的观测误差条件下，优化方法和不确定性分析方法对于非线性模型参数识别的影响。分析表明，RSA方法是在具有观测误差的数据条件下进行参数识别的一种有效手段。同时，通过比较分析，发现RSA方法预测的浓度平均值和概率最大值与“真实值”并不完全一致。因此，在使用RSA方法时，应该充分考虑预测区间，以降低决策风险。     

日喀则台观测环境存在的问题和解决办法

西藏日喀则地震台处于特殊的地理位置和地理环境,观测环境受到来自自然和人为因素的诸多干扰,本文剖析了各个干扰因素对观测环境影响,提出了一些具体而可行的解决办法。     

Measurement of parental investment and sex allocation in the European beewolf Philanthus triangulum F. (Hymenoptera: Sphecidae)

Fisher’s 1930 theory of sex allocation predicts a population-wide 1:1 ratio of parental investment. We tested this prediction in the European beewolf, a sphecid wasp that hunts for honeybees as larval food. Because the method to quantify parental investment is of crucial importance, we compared the suitability of several different investment measures. Female/male cost ratios were determined from a sample and the total investment in sons and daughters was calculated. In addition, the actual number of prey items for sons and daughters was directly determined by excavating nests and counting the cuticle remains of the prey. Though mortality was high (70%), it had only a weak effect on the estimate of the investment ratio. Based on commonly used measures like fresh and dry weight of emerged adults, the investment ratio did not deviate from Fisher’s prediction of equal investment. However, progeny weight considerably underestimates investment in males and investment in large progeny. Measures that reflect the allocation of resources more directly (amount of provisions, brood cell volume) revealed a significant male bias and thus contradicted Fisher’s theory. Three kinds of explanation are discussed. First, non-adaptive explanations are unlikely. Second, from the spectrum of alternative adaptive theories, only models that assume a non-linear relationship between amount of investment and progeny fitness seem to be relevant for the study species. Third, though the number of prey in a brood cell seems to be a rather good measure of parental investment in European beewolves, some problems in measuring parental investment remain. These problems are of broad significance. Received: 17 June 1999 / Received in revised form: 6 July 1999 / Accepted: 11 July 1999     

民勤沙尘源区近地面降尘特征研究

借助近地面沙尘暴监测系统进行沙尘暴监测,分析民勤沙尘源区近地面降尘分布特征.结果表明:民勤降尘量与沙尘天气发生频率密切相关,春季3,4月沙尘高发期月降尘量分别为9.0和9.5 mg/cm2.降尘随距地面高度的增加而减小,最大降尘出现在近地面1 m处,月降尘量为9.7 mg/cm2;降尘受下垫面条件影响较大,从荒漠区到绿洲边缘,风速减弱4.11%,总降尘量由25.0 mg/cm2减少到20.6 mg/cm2;绿洲内部受防护林作用,风速减弱30.45%,总降尘量增到24.6 mg/cm2,最大降尘量提高到近地面9 m处,与绿洲防护林冠层平均高度相吻合.风速对近地面20m内的降尘影响明显,平均降尘量2.5 mg/cm2.距地面9 m的高度范围内,降尘随持续时间变化迅速增加,降尘增量可达3.1 mg/cm2.      

基于精细观测资料的深圳不同季节霾及其污染特征分析

利用2010~2013年逐时霾、能见度和空气质量监测数据,分析了深圳霾天气的变化特征、霾与空气质量和气象条件的关系.结果表明:深圳市霾日数总体呈现增多增强趋势,2009年开始明显下降;霾日数呈“V”型月变化:即秋冬季多、春夏季少,秋冬季多发持续时间长、影响严重的霾过程,春夏季多发持续时间短的霾过程; 霾常伴有污染发生(35%),污染以轻度污染为主;霾时首要污染物PM2.5最多、其次O3,这说明PM2.5是造成深圳霾的主因,且深圳光化学污染严重. 霾时PM2.5、PM10 和O3季节变化明显,冬春季首要污染物以PM2.5为主(75%以上),夏秋季O3和PM2.5为主;分析还发现,风、相对湿度与霾密切相关,风速越弱,湿度越大, 越利于霾出现和发展.约80%的中重度霾出现在风速<2m/s,相对湿度70%~90%的情况下.     

Performance of a Bayesian state-space model of semelparous species for stock-recruitment data subject to measurement error

Measurement errors in spawner abundance create problems for fish stock assessment scientists. To deal with measurement error, we develop a Bayesian state-space model for stock-recruitment data that contain measurement error in spawner abundance, process error in recruitment, and time series bias. Through extensive simulations across numerous scenarios, we compare the statistical performance of the Bayesian state-space model with that of standard regression for a traditional stock-recruitment model that only considers process error. Performance varies depending on the information content in data, as determined by stock productivity, types of harvest situations, and amount of measurement error. Overall, in terms of estimating optimal spawner abundance S_MSY, the Ricker density-dependence parameter β, and optimal harvest rate h_MSY, the Bayesian state-space model works best for informative data from low and variable harvest rate situations for high-productivity salmon stocks. The traditional stock-recruitment model (TSR) may be used for estimating α and h_MSY for low-productivity stocks from variable and high harvest rate situations. However, TSR can severely overestimate S_MSY when spawner abundance is measured with large error in low and variable harvest rate situations. We also found that there is substantial merit in using h_MSY (or benchmarks derived from it) instead of S_MSY as a management target.     

EFFECT OF SEMI‐PERCHED GROUND WATER ON MONITORING OF GROUND WATER LEVELS IN A DEVELOPED AQUIFER1

ABSTRACT: Interpretation of ground water level changes in a developed aquifer usually relies on reference to some benchmark such as “predevelopment” ground water levels, changes from fall to fall and/or spring to spring, or to determination of maximum stress during the pumping season. The assumption is that ground water levels measured in the monitoring well accurately reflect the state of the ground water resource in terms of quantity in storage and the effects of local pumping. This assumption is questionable based on the patterns shown in continuous hydrographs of water levels in monitoring wells in Nebraska, and wells installed to determine vertical gradients. These hydrographs show clear evidence for vertical ground water gradients and recharge from overlying parts of the aquifer system to deeper zones in which production wells are screened. The classical concept of semi‐perched ground water, as described by Meinzer, is demonstrated by these hydrographs. The presence of semi‐perched ground water (Meinzer definition, there is no intervening unsaturated zone) invalidates the use of measured ground water levels in regional observation programs for detailed numerical management of the resource. Failure to recognize the Meinzer effect has led to faulty management. The best use of data from the observation well network would be for detection of trends and education unless it is clearly understood what is being measured.     

脉冲放电脱硫产物的收集

实验结果表明利用给反应器加直流基压收集脱硫产物是可行的．产物收集效率随直流基压和停留时间的增加而增加,在本实验条件下,最高收集效率达到９５．１％ ．加直流基压后,脉冲电压、电流波形基本不变,放电增强,脱硫效果提高．加直流基压可使反应器在脱硫的同时有效收集产物．     

Misspecification of within-area exposure distribution in ecological Poisson models

Ecological studies enable investigation of geographic variations in exposure to environmental variables, across groups, in relation to health outcomes measured on a geographic scale. Such studies are subject to ecological biases, including pure specification bias which arises when a nonlinear individual exposure-risk model is assumed to apply at the area level. Introduction of the within-area variance of exposure should induce a marked reduction in this source of ecological bias. Assuming several measurements per area of exposure and no confounding risk factors, we study the model including the within-area exposure variability when Gaussian within-area exposure distribution is assumed. The robustness is assessed when the within-area exposure distribution is misspecified. Two underlying exposure distributions are studied: the Gamma distribution and an unimodal mixture of two Gaussian distributions. In case of strong ecological association, this model can reduce the bias and improve the precision of the individual parameter estimates when the within-area exposure means and variances are correlated. These different models are applied to analyze the ecological association between radon concentration and childhood acute leukemia in France.

Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch–Singer hypothesis

In his recent article on measuring the long-term trends in the real prices of primary commodities, Cuddington (2010) extends in several important respects our earlier efforts (Svedberg and Tilton, 2006) to correct real commodity price trends for biases in the Consumer Price Index and other deflators. First, he argues for a log-linear relationship between prices and time. Second, he proposes a simple and quick method for obtaining corrected price trends from the published but uncorrected estimates. Finally, he illustrates, for the case of copper and presumably for many other commodities as well, the difficulties of obtaining real price trends significantly different from zero when the log values of the price data contain a unit root, requiring the use of difference stationary models.We welcome these insights, which should improve and make easier efforts to estimate correctly real commodity price trends over the long run. We would stress, however, that it is still important to correct for the biases in inflation indices, notwithstanding the failure of difference stationary models to obtain long-run real price trends (both corrected and uncorrected) significantly different from zero.