Effects of eggshell addition on calcium-deficient acid soils contaminated with heavy metals

The eggshell was used to remediate the contaminated soil by heavy metals. The eggshell addition decreased the available state of the heavy metals. The available calcium in the soil increased due to eggshell addition. The efficiency was investigated in different moisture conditions. In this study, effects of water conditions (flooded, wet, or dry) and eggshell dosages (0, 0.1, 1.0, and 10.0 g/kg soil, respectively) on pH variation, content of unavailable state of heavy metals, form of heavy metals, and available nutritious element calcium (Ca) in acid soils contaminated with heavy metals were investigated, respectively. The soil samples were continuously cultivated indoors and analyzed by toxicity characteristic leaching procedure and community bureau of reference (BCR) sequential extraction procedure. The results showed that the addition of eggshell could effectively improve the pH of acid soil and increase it to neutral level. Moreover, the contents of unavailable state of heavy metals Cu, Zn, and Cd increased significantly. Furthermore, when the soil was cultivated under the flooded condition with 1.0 g/kg eggshell, the unavailable state of Cu, Zn, and Cd increased the most, and these heavy metals were transformed into residual state. On the other hand, the amount of available state of Ca increased to 432.19 from 73.34 mg/kg with the addition of 1.0 g/kg eggshell, which indicated that the addition of eggshell dramatically improved the available state of Ca. Therefore, eggshell could ameliorate the soil environment as it led to the decrease of available heavy metals and improvement of fertilization effectively. In a word, this study indicates that the addition of eggshell would be a new potential method for remediation of acid field soils contaminated with heavy metals.     

Exploring human–nature interactions in national parks with social media photographs and computer vision

Understanding the activities and preferences of visitors is crucial for managing protected areas and planning conservation strategies. Conservation culturomics promotes the use of user-generated online content in conservation science. Geotagged social media content is a unique source of in situ information on human presence and activities in nature. Photographs posted on social media platforms are a promising source of information, but analyzing large volumes of photographs manually remains laborious. We examined the application of state-of-the-art computer-vision methods to studying human–nature interactions. We used semantic clustering, scene classification, and object detection to automatically analyze photographs taken in Finnish national parks by domestic and international visitors. Our results showed that human–nature interactions can be extracted from user-generated photographs with computer vision. The different methods complemented each other by revealing broad visual themes related to level of the data set, landscape photogeneity, and human activities. Geotagged photographs revealed distinct regional profiles for national parks (e.g., preferences in landscapes and activities), which are potentially useful in park management. Photographic content differed between domestic and international visitors, which indicates differences in activities and preferences. Information extracted automatically from photographs can help identify preferences among diverse visitor groups, which can be used to create profiles of national parks for conservation marketing and to support conservation strategies that rely on public acceptance. The application of computer-vision methods to automatic content analysis of photographs should be explored further in conservation culturomics, particularly in combination with rich metadata available on social media platforms.     

固相萃取-液相色谱法测定食品废水中8种色素残留

建立了食品工业废水中8种合成色素残留的固相萃取-液相色谱测定方法.水样经固相萃取柱富集,氮吹浓缩定容后直接进样.采用C18色谱柱分离,以甲醇-乙酸铵(0.01mol·L^-1)溶液为流动相,进行梯度洗脱,最后利用二极管阵列检测器(DAD)进行可变波长分析,外标法定量.结果表明,8种合成色素在1.0—50mg·L^-1的浓度范围内线性良好,相关系数均大于0.999,定量限为1.6—2.4μg·L^-1.以实际废水样品为加标对象,分别考察了低、中、高三个浓度水平的加标回收率和精密度,平均加标回收率在82.3%—95.9%之间,精密度均小于5.45%.该方法准确可靠,灵敏度高,可用于食品工业废水中痕量色素残留的测定.     

热障效应对有顶步行街自然排烟的影响

为了研究热障效应对有顶商业步行街自然排烟的影响,采用理论分析与数值模拟相结合的方法,对不同高度及不同环境温度条件下有顶商业步行街自然排烟时顶棚附近的温度、能见度以及排烟效率进行了分析。结果表明:顶棚附近环境温度越高,自然排烟效果越差,自然排烟效率随顶棚热空气温度的升高呈现线性降低趋势;步行街高度越高,竖直方向的温度差越小,到达顶棚的烟气流速越小,排烟效率越低;当顶棚附近环境温度为45℃时,有顶商业步行街高度不宜超过35 m。     

GIS环境下基于DEM的中国流域自动提取方法

应用地理信息系统平台,建立基于水文站网和水资源信息的空间化水循环数据库是研制开发全国水循环信息管理系统的关键和基础,为了与全国水文站网的观测资料相匹配,水循环数据库的结构将按流域组织,因此快速、有效地自动提取全国流域是所有工作进展的前提。为了从数字高程数据中自动提取全国流域,以提高基于GIS的全国水资源信息获取的效率,从DEM的特性出发,提出了一种从DEM中自动提取全国流域的实用方法。该方法利用1：25万DEM数据,首先将全国流域划分为14大流域片,并在每一流域片内分别提取流域。提取过程如下：首先对DEM数据进行填洼和削峰,然后确定每个栅格单元的水流方向,再根据各栅格单元的水流方向,计算出每个栅格单元的汇流能力,根据汇流能力采用阈值法确定河流网络,最后通过河流网络和流域出水口,快速识别出所有子流域。另外,还给出了利用GIS软件ARC/INFO GRID提取全国流域的AML程序代码,并以海河流域作为实验区将抽样测量结果和自动提取结果进行了实验对比分析,其结果表明利用该方法提取的流域数据与利用手工方法绘制的流域基本一致,证明该方法是有效的。     

铜镍电镀退镀废液资源化处理工艺

针对硝酸型铜镍退镀废液,确定了蒸馏法回收硝酸、溶剂萃取法分离提取铜、沉淀分离法回收镍的工艺路线.探讨了采用P507煤油体系萃取分离硝酸介质中的铜和镍及用硫酸反萃铜的条件及影响规律,确定了最佳工艺参数.结果表明,硝酸回收率可达97.8%;当最佳萃取工艺条件为:料液浓度Cu 15～20mg/mL,Ni 5～10 mg/mL,料液pH为1～2,萃取剂体积分数35%,皂化度60%,相比为1∶1,振荡时间2min,温度20℃～25℃,铜的一级萃取率达90%以上,铜镍分离系数为75,经过三级逆流萃取废液中的铜镍已达到完全分离;以NaOH作沉淀剂,溶液的pH为10～11,镍的回收率可达99.9%.经上述处理后,使排放液达到国家工业废水排放标准要求.     

某企业蒸汽锅炉消烟除尘系统改造

针对某企业蒸汽锅炉消烟除尘系统存在的问题，选用了新型花岗岩水膜除尘器，进行了消烟除尘系统改造，通过改造前后的监测数据对比，表明改造是成功的。     

基于遥感信息的沙漠化灾害程度定量提取研究

在分析沙漠化等级遥感信息提取现状的基础上,根据遥感手段沙漠化等级综合标志,提出了植被盖度分割和缨帽变换分割两种沙漠化程度遥感信息提取方法,并将其与传统的监督分类进行了比较.认为监督分类精度最低,植被盖度分割和缨帽变换分割更适用于生态环境动态监测,而在水体分布区缨帽变换分割较植被盖度分割适用.     

含油污泥处理工艺研究进展

产生于污水处理过程中的含油污泥，其含水率很高并不易沉降而难于处理，对生产与环境保护构成了极大的危害。介绍了对浓缩干化、浮选除油、降粘压滤及萃取分离等方法的研究情况，着重介绍了以“气浮-萃取-压滤”为主体的草取分离处理工艺，该工艺不但可以消除含油污泥对环境的污染危害，还可以回收污泥中的污油，为其它有机物含量高的污泥处理提供了可借鉴之路。     

含钴镍废水的萃取处理研究

采用Ｎ２３５作萃取剂，在合适的酸度和氯离子浓度条件下，对含钴镍废水进行溶剂萃取处理，重点研究了酸度、氯离子浓度、萃取级数及反萃条件对钴镍分离效率的影响，试验结果表明，可以有效地回收利用废水中的钴和镍。