Agronomic application of olive mill wastewaters with phosphate rock in a semi-arid Mediterranean soil modifies the soil properties and decreases the extractable soil phosphorus

Olive mill wastewater (OMW), a by-product of the olive-mill industry, is produced in large amounts in Mediterranean countries. The presence of indigenous phosphate deposits in some countries like Tunisia provides an incentive for direct application or local chemical treatment at low cost to improve the solubility of low reactive phosphate rocks (PRs). The use of naturally occurring low-molecular weight organic acids (LMWOAs) that are present in OMW represents a new perspective in PR research and a possible solution for the recycling of the OMW. The present work was aimed at evaluating, under natural situations (field of olive trees), the effects of agronomic application of OMW (amounts applied: 30, 60 m(3) ha(-1)) with PR (amounts applied: 150 kg ha(-1)) on olive trees soil properties. We measured organic C, nitrogen (N), extractable phosphorus (P), exchangeable calcium (Ca), and exchangeable potassium (K), as well as other properties (pH and electrical conductivity). Our data provide evidence that agronomic application of OMW with PR has important effects on soil properties. Increases in organic C, total N, extractable P and exchangeable potassium (K) were found after the first agronomic application of OMW and PR. These increases were only temporary, following the second agronomic application of OMW and PR, significant reductions were detected in the extractable soil P (19.67 mg kg(-1) in the control soil vs. 8.99 mg kg(-1) in the amended soil). Changes in the extractable soil P could alter plant productivity and plant community structure because shifts in nutriment availability can affect the balance between limiting and non-limiting nutrients.     

Identifying Biotic Integrity and Water Chemistry Relations in Nonwadeable Rivers of Wisconsin: Toward the Development of Nutrient Criteria

We sampled 41 sites on 34 nonwadeable rivers that represent the types of rivers in Wisconsin, and the kinds and intensities of nutrient and other anthropogenic stressors upon each river type. Sites covered much of United States Environmental Protection Agency national nutrient ecoregions VII—Mostly Glaciated Dairy Region, and VIII—Nutrient Poor, Largely Glaciated upper Midwest. Fish, macroinvertebrates, and three categories of environmental variables including nutrients, other water chemistry, and watershed features were collected using standard protocols. We summarized fish assemblages by index of biotic integrity (IBI) and its 10 component measures, and macroinvertebrates by 2 organic pollution tolerance and 12 proportional richness measures. All biotic and environmental variables represented a wide range of conditions, with biotic measures ranging from poor to excellent status, despite nutrient concentrations being consistently higher than reference concentrations reported for the regions. Regression tree analyses of nutrients on a suite of biotic measures identified breakpoints in total phosphorus (~0.06 mg/l) and total nitrogen (~0.64 mg/l) concentrations at which biotic assemblages were consistently impaired. Redundancy analyses (RDA) were used to identify the most important variables within each of the three environmental variable categories, which were then used to determine the relative influence of each variable category on the biota. Nutrient measures, suspended chlorophyll a, water clarity, and watershed land cover type (forest or row-crop agriculture) were the most important variables and they explained significant amounts of variation within the macroinvertebrate (R ² = 60.6%) and fish (R ² = 43.6%) assemblages. The environmental variables selected in the macroinvertebrate model were correlated to such an extent that partial RDA analyses could not attribute variation explained to individual environmental categories, assigning 89% of the explained variation to interactions among the categories. In contrast, partial RDA attributed much of the explained variation to the nutrient (25%) and other water chemistry (38%) categories for the fish model. Our analyses suggest that it would be beneficial to develop criteria based upon a suite of biotic and nutrient variables simultaneously to deem waters as not meeting their designated uses.     

气候因素对沙尘天气影响的模型研究

气候因素是影响沙尘天气发生的必要条件,到目前为止,用定量模型研究气候因素对沙尘天气的影响还比较欠缺,针对这一情况,利用风速、降水、蒸发量、相对湿度和大风日数基本气象资料,提出了风速影响指数W和土壤湿度指数H,并给出了相应的指标计算方法,在此基础上建立了影响沙尘天气的气候影响指数D模型.同时选取了北京大兴、怀柔、门头沟、顺义四个区气象台站的气象资料(1961-1990年)进行模型应用,结果表明气候影响指数D和沙尘天气发生频率S有较好的线性相关性,与McTainsh的模型进行对比发现,该模型评价气候因素对沙尘天气影响作用的效果较显著.     

基于决策树的黑龙江省旱耕地分类

基于决策树和EOS/MODIS数据,参考黑龙江省的农事活动和农作物发育期数据,对该省旱耕地进行了分类。结果表明,利用MODIS较高时间分辨率的特点,提取该省植被物候信息,可以在较短时间内实现对旱耕地分布及面积的定量描述;由于黑龙江省的干湿冷暖差异较大,按气候特征分区进行旱耕地判识的效果较好,总体精度可达到85.27%,Kappa系数0.8415。该项研究可为黑龙江省旱耕地面积数据的及时获取提供参考。     

1991年江淮流域特大洪涝与厄尼诺

1991年初夏,持续性大暴雨导致江淮流域特大洪涝灾害.本文分析了降水量与洪涝的分布和演变及其基本大气环流特征,并着重研究了洪涝的主要成因——厄尼诺现象.文中指出.江淮流域的大或特大洪涝,大多发生在厄尼诺事件的同年或次年.厄尼诺、反厄尼诺与北半球低纬100和500hpa大气环流有长达15个月(从同年6月至次年8月)的显著性相关.厄尼诺事件的影响以各种复杂机制,先在低纬作纬向扩展传播.再向中高纬度频散传播.从而对气象与海洋灾害作出严重影响.     

基于贝叶斯网络的养老院火灾风险评估方法研究

为预防养老院火灾事故,结合事故树法(FTA)和贝叶斯网络法(BN),建立了一套养老院火灾风险定量评估模型。首先,采用事故树法建立潜在的养老院火灾事故场景;其次,考虑到养老院火灾事故场景中不确定因素的影响,将事故树模型转化为贝叶斯网络模型,并结合有人员伤亡的养老院火灾事故发生发展实际优化模型;最后,以某市养老院为例,结合调研、文献及统计数据确定先验概率及条件概率,并用GENIE 2.0软件实现贝叶斯图形化,分析验证该模型逻辑可行性。结果表明:通过该模型和方法,不仅可以预测养老院火灾事故中各场景发生发展概率,还能对各风险因素敏感度和最大致因链进行分析,提高了风险因素辨识和评价的准确性,可以为养老院火灾风险分析和防控提供参考。     

天目湖沙河水库热分层变化及其对水质的影响

为揭示亚热带水库热分层的季节性变化特征、影响因素及水质效应,以最大水深11 m的江苏溧阳天目湖沙河水库为例,基于对水库坝前区(TM1)3~11月逐时的水温监测及对该水库2009~2016年相关水质和气象指标监测,分析了该水库热分层的形成和消失时间、驱动因素及其对水质的影响.结果表明,天目湖沙河水库呈典型的亚热带单循环混合模式:春季随着太阳辐射的增强,水温逐渐升高,当表层水温升至21℃左右时,热分层稳定形成,在整个5~9月期间水体热分层十分稳定;秋季随着太阳辐射的减弱,水温逐渐降低,当表层水温降至19℃左右时,热分层基本消失,在10~4月期间水体呈混合状态.热分层期间,表层和底层的水温差随太阳辐射的增强而增加;日均气温超过30℃的情况下,水体热分层更加稳定;夏季强降雨过程降低了水体表层的温度、减弱了上层5 m水体的温度分层,但对5 m以下深度的热分层状况基本无影响.水温分层对水库水质产生一定的影响:热分层期间,底层水体处于厌氧状态,底层水体氨氮浓度明显增加;热分层消失后,底层水体溶解氧、总磷及悬浮颗粒物含量均增加.研究表明,对于四季分明的亚热带中等深度的水库而言,水体热分层主要受太阳辐射的控制,稳定的热分层有利于蓝藻门相关种属藻类的生长,热分层形成及消散阶段改变了沉积物的营养盐释放及供给水体的强度,对水体水质形成冲击.在水库水质监控及生态保护管理中,应关注热分层过程的不利影响,并探索相关灾害的防控技术.     

TOF–SIMS surface analysis of chemical components of size–fractioned urban aerosols in a typical heavy air pollution event in Beijing

Size–fractioned atmospheric aerosol particles were collected during a typical heavy air pollution event in Beijing. The organic and inorganic components on the surfaces of the samples were analyzed using time–of–flight secondary ion mass spectrometry(TOF–SIMS).The variation characteristics of the surface chemical composition and influencing factors were studied, and the possible sources of these chemical compositions were identified through principal component analysis. The results showed that inorganic components such as crustal elements and sulfate, and organic components such as aliphatic hydrocarbons and oxygen–containing organic groups were present. Some surface components, such as polycyclic aromatic hydrocarbons, heavy metals and fluorides may exert adverse effects on human health. The species and relative percentages of the chemical components varied with particle size, diurnal and pollution progress. During a heavy pollution event, the species and relative percentages of secondary components such as oxygen–containing organic groups and sulfurous compounds increased, indicating that particles aged during this event. The surface chemical composition of the aerosol particles was affected mainly by emissions from coal combustion and motor vehicles. In addition, air pollution, meteorological factors, and air mass transport also exerted a significant effect on the surface chemical composition of aerosol particles.     

上海地区开发利用木本能源植物初探

阐述了能源植物的概念、开发利用能源植物的意义，以及能源植物的发展现状和趋势。重点论述了上海地区开发利用木本能源植物的必要性、可行性，并就如何开发利用木本能源植物提出了相关建议。     

Designing a conservation reserve network with minimal fragmentation: A linear integer programming approach

In the biological conservation literature, the optimum reserve site selection problem has often been addressed by using the prototype set covering and maximal covering formulations, assuming that representation of species is the only criterion in site selection. This approach usually results in a small but highly fragmented reserve, which is not useful for practical conservation planning. To improve the chances of species' persistence, it may be desirable to reduce habitat fragmentation. This paper presents a linear integer programming formulation to minimize spatial gaps between selected sites in a reserve network, which is applied to a data set on breeding birds. The authors express their willingness to share the database used in this study. Those readers who wish to have access to the data may contact Robert A. Briers at r.briers@napier.ac.uk.