Copper distribution in chemical soil fractions and relationships with maize crop yield

Agricultural practices can lead to copper accumulation in soils and at high concentration it can become toxic for plants. One common toxic effect of copper on plants is a decrease of crop yield. Here, we studied 1) the crop yield of maize grown on plots of a soil intentionally enriched with copper sulphate and 2) the possible relationship between the copper concentration in chemical soil fractions and the maize crop yield. Anthropogenic copper is mainly bound to manganese oxides, to iron oxides and to the organic matter. Maize (Zea maize L.) was grown on outdoor experimental plots. The crop yield was evaluated for three development stages: the 6–10 leaf stage, the female flowering stage and the maturity stage, 2, 4 and 6 years after the soil copper enrichment. Strong crop yield reductions, proving a toxic effect of copper on maize growth were noted 2 years after the copper input at the maturity stage and 4 years after the copper input at the 6–10 leaf stage. Variations in maize crop yield are described with linear multiple regression equations including the variable copper content in soil, and other variables when needed such as soil pH, soil organic carbon level and the climatic variables, the precipitation rate and the ambient temperature. The crop yield study at the 6–10 leaf stage and at the female flowering stage does not provide significant regression equations, while the crop yield study at the maturity stage does. Request variables for the models are the total copper content or the copper bound to the organic matter and the meteorological data. Electronic Publication     

Regression modelling of hourly NOx and NO2 concentrations in urban air in London

Based on hourly measurements of NO_x NO₂ and O₃ and meteorological data, an ordinary least squares (OLS) model and a first-order autocorrelation (AR) model were developed to analyse the regression and prediction of NO_x and NO₂ concentrations in London. Primary emissions and wind speed are the most important factors influencing NO_x concentrations; in addition to these two, reaction of NO with O₃ is also a major factor influencing NO₂ concentrations. The AR model resulted in high correlation coefficients (R > 0.95) for the NO_x and NO₂ regression based on a whole year's data, and is capable of predicting NO₂ (R = 0.83) and NO_x (R = 0.65) concentrations when the explanatory variables were available. The analysis of the structure of regression models by Principal Component Analysis (PCA) indicates that the regression models are stable. The results of the OLS model indicate that there was an exceptional NO₂ source, other than primary emission and reaction of NO with O₃, in the air pollution episode in London in December 1991.     

水体中磺酸类有机物的检测分析进展

针对水体中磺酸类有机化合物的分离分析,较为系统地总结了近年来国内外学者在磺酸类化合物检测方面所作的研究工作,主要介绍了高效液相色谱、气质联用和电位等检测方法的应用。     

污染河流悬沙与铜、锌污染相关性研究

通过对矿区选矿废水污染的河流水样和悬沙进行采样,分析悬沙、铜、锌质量浓度,探讨河流悬沙与铜、锌之间的相关关系,是有重要现实意义的.研究结果表明:河流水质铜超标严重,丧失了作为农业用水的使用功能.水中铜污染物量与悬沙量相关关系,锌污染物量与悬沙量相关关系都是极显著的.经过曲线回归方程拟合,锌污染物量与悬沙量之间的回归关系比铜污染物量与悬沙量之间的回归关系显著,有3个曲线方程较优,即:对数方程、二次多项式方程、三次多项式方程.据此,通过测定污染河流悬沙量可以粗略地估算水中锌污染物量.     

废气排放量灰色建模新法初探

在研究和指出灰色建模常规方法理论缺陷的基础上,结合某化工厂废气排放预测实践,初步探讨和提出了将原始动态数据序列经过线性或指数变换,采用黄金分割法选取背景值的直接建模方法。初步研究表明,该方法较灰色建模常规方法在改善序列随机性、提高预测精度等方面,具有较明显的优越性和合理性,拓宽了GM(1,1)模型在环境科学领域中的应用范围。      

偏最小二乘(PLS)回归方法在中国东部植被变化归因研究中的应用

植被变化往往受到不同气候变量的综合作用,人类活动影响又使得植被对气候响应变得更为复杂,如何准确判别各种影响因素的相对重要性是植被变化归因研究中的一个关键点.研究基于偏最小二乘(PLS)回归方法,使用1982-2006 年的归一化植被指数(NDVI)数据,分析了降水、气温、日照、相对湿度和风等气候变量对中国东部植被变化的相对影响,并选取了NDVI变化较为典型的区域,量化了农业活动对该地区植被变化的相对贡献.PLS回归方法兼具了主成分分析和多元回归的优点,克服了众多自变量之间存在强烈交互相关导致的多元共线性问题.研究结果表明:① 1982-2006 年间,中国东部逐月NDVI的年际变化呈现出明显的南北差异.在12、1-5 月,NDVI以显著上升为主,上升区域主要位于淮河以北.在6-10月,NDVI以显著下降为主,下降区域主要为淮河以南的部分区域,特别是6 月江苏一带NDVI的大范围下降尤为明显.不过与NDVI发生显著变化的区域相比,更多区域的NDVI在各月并没有出现显著变化.② 在NDVI显著上升的站点,对NDVI变化最具解释意义的气候变量为气温,特别是冬末春初(2-3 月)的升温对黄淮海区域NDVI的显著上升具有主导控制作用.而对于NDVI 显著下降的站点,多数都不能从气候角度解释这些区域的NDVI 变化.③ 江苏省NDVI在6 月出现的大范围显著下降,与农业种植结构的调整,主要是棉花种植面积的减少以及油菜面积的增加具有显著关系.     

Evaluation of linear alkylbenzenesulfonate (LAS) biodegradability in sediment by solid‐phase extraction and HPLC analysis

The linear alkylbenzenesulfonate (LAS) sorption on environmental sediments has been known long ago. Their high concentrations reflect the massive input of these chemicals from household and industrial uses. However few attempts were made to identify biodegradation metabolites of LAS in sediment. In this report, a method for the determination of these compounds in sediment samples by high‐performance liquid chromatography (HPLC) is described. The first step of our work was performed by solid‐phase extraction with octadecyl‐bonded silica (C18) mini‐columns and provided a suitable recovery of LAS (90 ± 5%) and most metabolites. Furthermore, laboratory investigations led to study the behaviour of LAS in sediment. The environmental samples used for this purpose were collected from a pond (named étang de Bolmon) located in the French Mediterranean coast. Our results were in agreement with an aerobic biodegradation process of LAS that occurred only with high values of sediment redox potential and needed the samples to be vigorously shaken to ensure adequate mixing and suspension of particulate material. In a stagnant sediment or under anaerobic conditions, LAS is not degraded. p‐Sulfophenylacetic acid and p‐sulfocinnamic acid were evidenced as predominant metabolites and were found not to be persistent.     

哈尼梯田地区农户粮食作物种植结构及驱动力分析

哈尼稻作梯田系统作为全球重要农业文化遗产（GIAHS）,具有极高的生态、经济、文化价值。近年来,以粮食产量增长为导向的农耕技术和作物品种单一化趋势,给哈尼梯田地区带来了严重的生态和食品安全问题。论文以农户生产行为作为切入点,从主要粮食作物的经济效益、耕地资源特征、村落发展类型、农户的家庭特征与资源禀赋进行实证研究,分析了哈尼梯田地区农户粮食作物种植结构现状及驱动因素。结果表明：1）调查涉及的41.23 hm²有效耕地中,按种植总面积排序,杂交稻、玉米、水果类作物位居前三。2）本地传统粮食作物--梯田红米,种植总面积和户均种植面积远小于经济效益较高的杂交稻和兼有饲料用途的玉米。同时,农户倾向于将其种植在质量较差、海拔较高的耕地上。3）作物的经济效益和耕地海拔及质量对替代性作物（如杂交稻和红米）的种植选择影响较大;个体农户层面上,农户特征与资源禀赋在不同程度上对不同作物的种植选择产生影响。     

The Spanish building crisis and its effect in the gypsum quarry production (1998–2012)

Gypsum is one of the most important mined mineral commodities of the world. As an industrial rock, it is primarily used by the construction industry. Therefore, the economics of the gypsum market can be correlated with parameters that have controlled the origin and development of the Spanish building bubble between years 1998 and 2006. The burst of this building bubble has been interpreted as the main triggering factor for Spain's current crisis.     

回归分析方法在环境领域中的应用评述

回归分析是一种处理变量间相关关系的有效数理统计方法,回归分析模型目前已应用于环境领域的多个方面,并在实际应用中证实了其准确性和可行性。基本回归分析方法有一元线性回归、多元线性回归和逐步回归等,通过概述了这几种基本回归分析方法的原理及其在环境领域中的应用现状,评述了其应用效果,并预测了回归分析技术在环境领域中应用的发展方向;对在众多环境科学与工程研究领域中,更好地发挥回归分析的作用具有很好的参考价值。