Resource exploitation and cross-region growth trajectories: nonparametric estimates for Chile

As a sector of primary concern for national development strategies, mining keeps stimulating an intensive debate in Chile, regarding its role for long-term growth. Partly drawn on theoretical contributions to growth and mineral resource accounting, this analysis assesses patterns of economic growth across Chilean regions. The theoretical and methodological rationale for focusing on weak sustainability, by testing convergence across regions in a distribution dynamics perspective, is first discussed. This is followed by a brief review of policy issues and previous empirical findings of concern to Chile's mining and regional growth. Panel data over the period 1960-2001 are analysed, with growth measured in terms of both income per capita as such, and sustainable measures of this variable. Kernel density and quantile regression estimates indicate persistent bimodal (if not possibly trimodal) distribution of nationally standardised regional incomes per capita, whereby conditions for cross-region convergence are matched only within the inner range of this distribution.     

设施农业土壤磷素累积迁移转化及影响因素

为了科学合理施用磷肥,减小对设施农业环境带来的污染风险,以北京市大兴区设施农业集中区为研究对象,通过对不同种植年限设施农业剖面土壤(0～100 cm)磷素含量的测定分析,探究磷素累积与迁移转化特征.结果表明,设施农业表层土壤全磷和有效磷含量变化范围大,显著高于周边粮田土壤,主要跟不同种植年限农户的施磷量相关,随着土层深度的增加,全磷和有效磷含量逐渐减小,呈现表聚特征,其中土壤ω(全磷)范围在0.38～2.58 g·kg^-1,ω(有效磷)范围在1.60～256.00 mg·kg^-1.随着种植年限的增加,土壤全磷和有效磷含量呈现先增加后减小的趋势,在15 a左右达到峰值,随后逐渐减少,趋于稳定,总体处于较高水平.无机磷主要集中在设施农业表层土壤,其中Ca-P占无机磷的比例最大,达到了98.38%,Ca₁₀-P是最主要的Ca-P形态,含量占Ca-P的78.70%,Ca₂-P占比最小,仅占9.50%.不同形态无机磷含量呈现表层土壤富集,向下减少的垂直分布特征;不同土层深度,不同形态无机磷占全磷比例变化存在差...     

Induction of hepatic drug metabolizing enzymes in mammals by pesticides: A review

Abstract

The induction of drug metabolizing enzymes in mammals is summarized including both enzymes of the cytochrome P‐450‐dependent microsomal mixed function oxidase system and glutathione S‐transferases. Particular emphasis is placed on the role of pesticides as inducers, the early work being summarized while investigations carried out at North Carolina State University are considered in greater detail. Finally, the possible significance of induction is considered.     

Green accounting and sustainability of the Peruvian metal mining sector

This paper estimates the true economic income of Peru’s metal mining sector for the period 1992–2006, using a model of green economic income based on Hamilton (2000). The total depletion of natural capital caused by metal mining is calculated by estimating, on the one hand, the depreciation of mining resources (using the Hotelling rent approach) and, on the other, the environmental degradation provoked by metal mining activities. The results show that the total loss of natural capital represents between 31% and 51% of the metal mining GDP and between 2% and 4.9% of Peru’s GDP. On the other hand, correcting the usual GDP measure produced by the traditional National Account System (NAS) for the total loss of natural capital caused by mining activities shows that the GDP traditional measure overestimated by 51–64% the true economic income generated by Peruvian's metal mining sector during the period 1992–2006. The importance of the generation, taxation, and disposition of mining economic rents for Peru’s sustainable development in the future is also discussed.     

不同氮磷比对多年生水生植物生长特性影响的研究

从氮、磷等植物生长的环境因子出发，研究了高低氮磷营养水平下，不同氮／磷比例的富营养化水体对聚草（Myriophyllum spicatum）、黄花水龙（Jussiaea stipulacea Ohwi）、喜旱莲子草（Alternanthera philoxeroides）生长特性的影响。结果表明，聚草在氮磷比2：1时生物量最大，且生物量在高浓度水平处理明显大于低浓度水平处理（P〈0．01）；黄花水龙在氮磷比10：1～20：1时生物量最大，高低浓度水平处理问生物量无显著性差异；喜旱莲子草在较高氮磷比20：l～40：1时生物量最大，高浓度水平处理时生物量显著性高于低浓度水平处理（P〈0．05）。在低浓度水平处理时，氮为黄花水龙和喜旱莲子草生长的主要限制因子，磷为聚草生长的主要限制因子，且喜早莲子草叶绿素增长期较其他处理提前，而黄花水龙的叶绿素变化在高低营养水平下差异不显著。营养盐水平对聚草茎长和生物量的影响较对黄花水龙和喜旱莲子草的影响明显。     

新中国60年来农业多功能性演变的研究

农业多功能性是近年来国际可持续发展研究与政府闻谈判磋商的热点问题.科学地认识农业多功能性及其演变趋势,对于新时期中国可持续发展战略的制定与实施具有重要意义.鉴于此,该文通过对相关文献和调研资料的整理,从农业的产品生产功能、经济社会功能、生态环境功能、文化休闲功能4个方面.对建国60年来农业多功能性演变的基本趋势进行了初步研究.结果表明,农业产品生产功能在波折中不断提高,而地域之间呈此消彼长现象,总的趋势是农产品生产由南方向北方、由东部向西部转移;农业的经济功能已经大大弱化,但就业和社会保障功能依然极为重要;农业对生态环境的影响,总体来看负面效应要大于正面效应;农业文化传承功能呈全面衰落趋势,但旅游功能则在近年来大为增强.依据这一研究结果,该文进一步探讨了增强我国农业多功能性的政策措施.     

Metabolic fate of dichloromethyl‐0,0‐diphenyl phosphonate (I) and dichloromethyl‐0,0‐di‐(p‐nitrophenyl) phosphonate (II) in/on rice plants∗

Abstract

Metabolic fate of two dichloromethyl diaryl phosphonates (³²P labelled) in/on rice plants was investigated. The test compounds were found to be less persistent on the surface of rice leaves with half lives 7.4 and 6.7 days respectively. Main degradation product from both the phosphonates were dichloromethyl phosphonic acid with trace of dichloromethyl‐O‐aryl phosphonate as a transitory intermediate product.     

Nonparametric functional data estimation applied to ozone data: prediction and extreme value analysis

The study of extreme values and prediction of ozone data is an important topic of research when dealing with environmental problems. Classical extreme value theory is usually used in air-pollution studies. It consists in fitting a parametric generalised extreme value (GEV) distribution to a data set of extreme values, and using the estimated distribution to compute return levels and other quantities of interest. Here, we propose to estimate these values using nonparametric functional data methods. Functional data analysis is a relatively new statistical methodology that generally deals with data consisting of curves or multi-dimensional variables. In this paper, we use this technique, jointly with nonparametric curve estimation, to provide alternatives to the usual parametric statistical tools. The nonparametric estimators are applied to real samples of maximum ozone values obtained from several monitoring stations belonging to the Automatic Urban and Rural Network (AURN) in the UK. The results show that nonparametric estimators work satisfactorily, outperforming the behaviour of classical parametric estimators. Functional data analysis is also used to predict stratospheric ozone concentrations. We show an application, using the data set of mean monthly ozone concentrations in Arosa, Switzerland, and the results are compared with those obtained by classical time series (ARIMA) analysis.     

响应面法和神经网络优化Acinetobacter sp. DNS32发酵基质

为了提高阿特拉津降解菌Acinetobacter sp.DNS32的产量,分别采用响应曲面法和基于人工神经网络的遗传算法对阿特拉津降解菌DNS32发酵培养基中3个重要基质成分(玉米粉、豆饼粉、K2HPO4)进行优化研究。响应曲面法确定3种成分的含量为玉米粉39.494 g/L,豆饼粉25.638 g/L和K2HPO43.265 g/L时,预测发酵活菌最大生物量为7.079×108CFU/mL,实测量为7.194×108CFU/mL;人工神经网络结合遗传算法优化确定3种主要成分含量为玉米粉为39.650 g/L,豆饼粉为25.500 g/L,K2HPO4为2.624 g/L时,预测最大值为7.199×108CFU/mL,实测量为7.244×108CFU/mL;最终确定培养基配方:玉米粉为39.650 g/L,豆饼粉为25.500 g/L,K2HPO4为2.624 g/L,CaCO3为3.000 g/L,MgSO4.7H2O和NaCl均为0.200 g/L;优化后阿特拉津降解菌DNS32发酵生物量比优化前提高了36.6%。结果表明,在阿特拉津降解菌DNS32发酵培养基组分优化方面,响应面法和基于人工神经网络的遗传算法都是可行的,基于人工神经网络的遗传算法具有更好的拟合度和预测准确度。     

紫外分光光度法测定水中对苯二甲酸

紫外分光光度法测定水中对苯二甲酸，具有简便、快速、灵敏、稳定、所用试剂少、选择性好、抗干扰能力强等优点，适合地面水或废水样品的分析，回收率为９４～１１０％