MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

流动注射分光光度法测定水中痕量氟化物

研究并建立了测定水中痕量氟化物的氟试剂（ＡＬＣ）－流动注射分光光度法。将水样注入到水载流中,与ＡＬＣ－Ｌａ丙酮水溶液混合,在５０℃时反应生成蓝色三元络合物,在分光光度计上于波长６１８ｍｍ处进行检测。Ｆ＾－测定的线性范围为０．０４－３．０ｍｇ／Ｌ,检出限为０．０３６ｍｇ／Ｌ。     

Fenton氧化与生化组合技术处理油田采油废水的研究

采用Fenton氧化与生化组合技术处理生物难降解的采油废水的研究结果表明 ,Fenton氧化技术不但对采油废水中有机质有较好的去除率 ,而且大大地改善了废水的可生化性 ,在H2 O2 的投加浓度和Fe2 + 与H2 O2 的摩尔比分别为10mmol/L和 0 .1的条件下 ,经过 30min氧化后可使废水BOD值由原来的 5mg/L上升至 4 0mg/L ;同时随着氧化时间的延长 ,废水中残余的有机物分子量逐渐降低。 30min氧化后的废水经过生物处理 ,其出水COD值为 10 2mg/L ,可以满足国家综合污水外排标准 ,经济分析结果表明 ,该技术处理采油废水的运行成本为 1 4 7元 /t。这一技术在解决石油行业采油废水的外排达标方面具有很好的应用前景。     

江汉平原地下水中有机磷农药的分布特征及影响因素

为了研究江汉平原地下水中有机磷农药（OPPs）的分布特征,项目组依托该区域地下水监测场的13个监测点,于2015年6月采集了不同深度的38个地下水和4个地表水水样,通过分析其主要的水化学指标及OPPs的含量,研究江汉平原地下水中OPPs的分布特征及主要的影响因素.结果表明：研究区地下水水化学类型主要HCO₃-Ca×Mg型,并处于强还原性环境.OPPs在研究区地下水中普遍存在,采样点整体含量范围为31.5~264.5ng/L,平均值是86.5ng/L,其中检出率最高的OPPs为二嗪农和氧化乐果,含量最高是氧化乐果、甲胺磷和二嗪农,分别为54.3、32.1和27.8ng/L,无论是单种和总的OPPs含量均低于欧盟《水中农药残留标准》（EEC80/778）规定的地下水农药含量MAC标准及部分我国《生活饮用水卫生标准》（GB 5749-2006）中的农药含量限值并且对生态环境影响较小;其整体变化趋势为：垂直方向上随着深度的增加OPPs的含量逐渐增大,即：50m> 25m> 10m.水平方向上分布为：临河农田区> 中部农田区> 临河非农田区..研究区地下水中OPPs的分布受多种因素的影响,主要有：农业生产活动中使用OPPs的量、地表水与地下水的交互作用、地下水的水化学特性及生物与非生物的降解作用.     

焦化厂土壤和地下水中PAHs分布特征及其污染过程

以煤炭为原料的焦化厂是环境中PAHs的主要人为污染源. 针对US EPA(美国国家环境保护局)优先控制的16种PAHs,对苏南某生产历史长达16 a、面积为44.58×104 m2的焦化厂土壤样品中的w(PAHs)以及地下水样品中的ρ(PAHs)进行了分析,并采用统计学方法对PAHs的分布规律进行了研究. 结果表明:表层土壤中除二苯并[a,h]蒽外,其他15种PAHs均被检出;w(2~3环PAHs)平均值占w(∑PAHs)平均值的92.6%,明显高于w(4~6环PAHs). 地下水中只检出强亲水性的萘、二氢苊、苊、芴、菲、蒽等6种低环PAHs,但未迁移至厂外. 厂区内土壤和地下水中PAHs污染均具有典型的区域分布特征,并且均为化厂车间最严重. 土壤防污性能的差异使PAHs在3.0 m黏土层〔K_y(垂向渗透系数)=1.28×10-8 cm/s〕中富集. 高环PAHs主要与有机质结合以固相迁移,因w(TOC)随深度增加而下降,部分高w(高环PAHs)点位土壤有机质吸附过饱和,未被吸附的高环PAHs向深层迁移至5.0 m含水层顶板,但因强疏水性未进入7.0 m含水层. 强亲水性低环PAHs以溶解态迁移进入含水层,但因地下水流动缓慢(流速为3.71×10-6 cm/s),PAHs污染区仅集中在化厂车间及其附近区域.      

我国典型城市PM_(2.5)空间分布均匀性分析

随着空气质量新标准的实施,从2013年开始我国部分城市先期开展了PM2.5的例行监测,从中选取不同区域的典型城市,分析了PM2.5在环境中的分布情况。分析结果表明:典型城市PM2.5日均值相对标准偏差(RSD)范围为13%~26%,平均值为18%;我国南方城市PM2.5空间分布均匀性优于北方城市,北方城市冬、春季节PM2.5分布的均匀性较差,南方城市夏季PM2.5分布的均匀性较差;PM2.5的空间分布均匀程度与PM10接近,但明显优于其他气态污染物。综合分析认为,目前我国国家监测网内PM2.5监测点位的代表性能够满足城市空气质量监测与评价工作需要。     

用高精度磁测圈定煤田自燃区的应用效果

煤田自燃在中国北方非常普遍,每年都给中国的煤炭资源以及生态环境造成重大损失。为控制和监测煤田自燃,须对其自燃边界进行圈定。煤层自燃后产生“热剩磁”,基于这一理论,运用高精度磁测圈定了西北某煤田自燃区的边界范围,并建立了“倾斜磁化有限延伸的板状体”模型进行正演。由钻孔验证的结果来看,高精度磁测圈定煤田自燃区边界范围的应用效果良好。     

Heavy metals contamination in mudflat and mangrove sediments (Mumbai,India)

The focus of this study, carried out on mudflat and mangrove sediments of Ulhas Estuary and Thane Creek in Mumbai, India, documents how sediment analysis in different ecosystems can help in understanding metal behaviour and pollution status of the region. Based on the the geoaccumulation index (I _geo ), the study shows that the estuarine and creek regions, being recipients of industrial and domestic wastes, display moderate pollution. Ulhas Estuary with higher clay and organic matter contents, exhibits higher amounts of metals than Thane Creek. Furthermore, using correlation and cluster analyses, the creek projects stable subenvironments with similar types of metal associations, with Fe and total organic carbon as the dominant metal carriers. By contrast, in the estuarine subenvironments, the metal associations do not reveal any distinct trend, which may be attributed to the disturbance caused by dredging activities routinely carried out in the region. Factor analysis carried out on I _geo data in both regions further helped in identifying polluted metal groups.     

Roles of digital technology in China's sustainable forestry development

China has the fifth largest forest area in the world and any change in China's forestry development will have inevitable impacts on global ecological sustainability. China has undergone excessive logging of natural forests and also made tremendous efforts in afforestation during the past half century. China's forestry is now going through a variety of transitions and several forestry programs have been implemented to drive forestry transitions. The goal of these actions is to protect ecological services of forests and sustain China's forestry development. These forestry programs are spatially sophisticated and cannot be successfully implemented without accurate and transparent forest/forestry information. A variety of digital technologies, including forest modeling, remote sensing, geographic information systems, global positioning systems, and visualization, have been applied in handling diverse information in China's forestry. Digital forestry is not just a theoretical concept in China. Our digital forestry experience in northeast China suggests that digital technology is both usable and useful in China's forestry development. Digital technology is playing an important interactive role in China's top-down forestry administration system. The analog-to-digital transition in technology is expected to lead to the success of forestry programs and forestry transitions in China.     

镧、铈、钕对小鼠肝细胞线粒体的氧化损伤作用

轻稀土元素进入生物体后主要累积于肝脏,进入肝细胞,除蓄积在细胞核中,还存在于线粒体中。为探讨轻稀土元素对小鼠肝细胞线粒体的氧化损伤作用,选用5周龄雄性ICR小鼠分别以10、20和40mg·kg~(-1)的镧(La)、铈(Ce)和钕(Nd)灌胃,6周后测定小鼠肝细胞线粒体中超氧化物岐化酶(SOD)、过氧化氢酶(CAT)、谷胱甘肽过氧化物酶(GPx)的活性,以及谷胱甘肽(GSH)和丙二醛(MDA)的含量。结果显示,与对照组相比,La中剂量组和Ce低剂量组SOD活性显著升高,La高剂量组和Nd中、高剂量组中SOD活性显著降低(P<0.05,P<0.01);除个别剂量组外,各染毒组CAT和GPx活性与GSH含量显著降低(P<0.05,P<0.01);Nd各剂量组、La高剂量组和Ce高剂量组的MDA含量显著升高(P<0.05,P<0.01)。研究表明,La、Ce和Nd所导致的CAT和GPx活性以及GSH含量降低可能是造成肝细胞线粒体氧化损伤的主要原因。