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131.
基于高斯扩散的单源估算模式SCREEN3计算佛山市环境统计企业的SO2排放最大落地浓度距离,发现全市工业企业SO2排放最大落地浓度距离为0.4~13.5 km.其中水泥和火电等高架源的最大落地浓度的距离最远.佛山市及五区纳入环境统计的重点废气排放企业平均的SO2排放最大落地浓度距离为2.9~4.9 km,能直接影响国控监测点位的企业合计37家,其中40%为高明区的企业.该结果证明加强空气质量国控监测点位周边至少5 km内废气排放企业的督查有利于空气质量的改善. 相似文献
132.
人工神经网络用于铅的化学形态模拟计算 总被引:1,自引:0,他引:1
用前馈线性网络法求解水体系中Pb(2+)与OH-之间的反应常数,不同训练算法对求解结果的精度、收敛速度及权值均有影响.结果表明,批处理算法的精度最好,权值不出现负值,但运算时间最长;在线算法的精度虽不如批处理算法,而比数据变换-在线算法好,权值有时会出现负值.运算时间较长;数据变换-在线算法的优点是运算时间短,但相对误差较大,权值出现负值的机会多。采用反馈网络模拟计算铅的各种化学形态的浓度.用物料核算的方法对反馈网络模型进行检验表明,此种模型用于平衡计算是可行的,详细分析了理论模拟和实验曲线的差异的原因,温度的影响最小,在4<pH<9时,CO有重要的影响.在国代检验时,n值取整所引入的误差的影响亦不可忽视。从本文的结果可以看到,采用前馈网络和反馈网络相结合的方法考察水体中的化学形态是可行的.从而为解决这一类问题提供了一种可能的途径. 相似文献
133.
The distribution of vascular plant species richness along an altitudinal gradient and their relationships with environmental variables, including slope, aspect, bank (flooding) height, and river width of the Xiangxi River, Hubei Province, were examined. Total vascular plant species richness changed with elevation: it increased at lower elevations, reached a maximum in the midreaches and decreased thereafter. In particular, tree and herbaceous species richness were related to altitude. Correlation analysis (Kendall's τ) between species richness and environmental variables indicated that the change in species richness in the riparian zone was determined by riparian environmental factors and characteristics of regional vegetation distribution along the altitudinal gradient. The low species richness at lower elevations resulted from seasonal flooding and human activities – agriculture and fuel collection – and the higher species richness in the midreaches reflected transitional zones in natural vegetation types that had had little disturbance. These results on species distribution in the riparian community could be utilized as a reference for restoration efforts to improve water quality of the emerging reservoir resulting from the Three Gorges Hydroelectric Dam project. 相似文献
134.
有机酸对铬超富集植物李氏禾吸收Cu的影响 总被引:1,自引:0,他引:1
许多研究表明有机酸的施加对植物吸收重金属的量具有不同的影响.文章采用盆栽试验研究了EDTA、柠檬酸、草酸和酒石酸对土壤中Cu的活化和李氏禾(Leersia hexandra Swartz)吸收Cu的影响.结果表明,当向土壤中施加质量摩尔浓度为2 mmol·kg-1的EDTA时,土壤中Cu质量分数为220.16 mg·kg-1与空白土壤中500.31 mg·kg-1相比明显减少,说明EDTA可以极显著的降低土壤中的铜质量分数,使其转化成水提取态的Cu浮于土壤表面,并大部分聚集在根部周围,同时向土壤中施加EDTA不但促进了对Cu的活化而且显著提高了李氏禾对Cu的吸收,叶中最高质量分数达到336.54 mg·kg-1是对照中80.34 mg·kg-1的四倍;而柠檬酸、草酸和酒石酸则抑制了Cu的活化,但对李氏禾地上部分的Cu质量分数影响不大.有机酸对Cu的影响相对较弱,除EDTA显著降低了土壤中Cu质量分数外,其他有机酸对Cu的活化和李氏禾吸收Cu的影响与对照均没有明显差异. 相似文献
135.
不同源类型农业非点源负荷特征研究——以新田小流域为例 总被引:1,自引:0,他引:1
以珠江三角洲北部新田小流域为研究对象,采用源类型法,在流域范围内建立林地、果园、旱地和水田四个全封闭的农业用地单元,并对四个单元出口处的径流量进行同步采样,分析COD、BOD、氨氮、总氮和总磷等污染物的负荷特征.结果表明:(1)流域地表水存在着明显非点源污染现象,不同源类型,地表径流的污染程度不同.(2)不同源类型农业非点源污染负荷强度不同,其中水田、旱地单位面积非点源负荷强度较大,果园、林地各项污染物的负荷强度相对最小.受地表扰动、施肥等人类活动影响,流域内水田、旱地是农业非点源污染发生的关键源区.(3)流域范围内,不同源类型农业非点源负荷总量不同,其中,果园各项污染物非点源负荷总量最大,其次是林地,水田、旱地非点源负荷输出总量较小,流域范围内,源面积成为影响非点源负荷总量的主要因素.(4)相应的非点源污染治理不仅是关键源区,同时应关注大面积流失区. 相似文献
136.
随着纳米科技与工业的高速发展,大量的纳米材料被广泛应用并最终汇聚到土壤环境中,对土壤生态和人体健康造成潜在影响。由于土壤生物具有多样性,选择具有代表性、敏感性并便于获取的土壤模式生物作为实验受体进行纳米材料的生物安全评估及环境毒理效应研究尤为重要。较为系统地回顾和总结了几种典型土壤模式生物的特点,为纳米材料毒理研究中受试生物的选择提供参考,在此基础上整理了大量基于典型土壤模式生物的纳米材料毒性研究资料,归纳了不同层次的研究方法,分析探索了纳米材料毒性机理,并展望了未来的研究重点。 相似文献
137.
138.
钢渣掺量对泡沫混凝土砌块性能的影响 总被引:2,自引:0,他引:2
泡沫混凝土是一种环保、节能的保温隔热材料,以其优良的保温性能,受到越来越多研究者的关注。对钢渣的特性进行了分析测试,对钢渣不同掺量对泡沫混凝土砌块特性的影响进行了研究,结果表明,采用添加5%~35%钢渣所制备的钢渣泡沫混凝土砌块,其密度等级为JC/T1062—2007中的B10级,掺人5%、15%钢渣的泡沫混凝土抗压强度达到A3.5等级,掺人25%、35%钢渣的泡沫混凝土抗压强度达到A2.5等级。随着钢渣掺量的增大,抗压强度、抗折强度降低,吸水率增大。在同一钢渣掺量的情况下,泡沫混凝土砌块的抗压强度变化率增加显著,而且随着钢渣的加入量升高而增大。钢渣的加入有利于提高泡沫混凝土砌块的后期抗压强度。 相似文献
139.
Xiuying Zhao Xinming Wang Xiang Ding Quanfu He Zhou Zhang Tengyu Liu Xiaoxin Fu Bo Gao Yunpeng Wang Yanli Zhang Xuejiao Deng Dui Wu 《环境科学学报(英文版)》2014,26(1):110-121
Organic acids as important constituents of organic aerosols not only influence the aerosols' hygroscopic property, but also enhance the formation of new particles and secondary organic aerosols. This study reported organic acids including C14–C32fatty acids, C4–C9dicarboxylic acids and aromatic acids in PM2.5collected during winter 2009 at six typical urban, suburban and rural sites in the Pearl River Delta region. Averaged concentrations of C14–C32fatty acids, aromatic acids and C4– C9 dicarboxylic acids were 157, 72.5 and 50.7 ng/m3, respectively. They totally accounted for 1.7% of measured organic carbon. C20–C32fatty acids mainly deriving from higher plant wax showed the highest concentration at the upwind rural site with more vegetation around, while C14–C18fatty acids were more abundant at urban and suburban sites, and dicarboxylic acids and aromatic acids except 1,4-phthalic acid peaked at the downwind rural site. Succinic and azelaic acid were the most abundant among C4–C9dicarboxylic acids, and 1,2-phthalic and 1,4-phthalic acid were dominant aromatic acids. Dicarboxylic acids and aromatic acids exhibited significant mutual correlations except for 1,4-phthalic acid, which was probably primarily emitted from combustion of solid wastes containing polyethylene terephthalate plastics. Spatial patterns and correlations with typical source tracers suggested that C14–C32fatty acids were mainly primary while dicarboxylic and aromatic acids were largely secondary. Principal component analysis resolved six sources including biomass burning, natural higher plant wax, two mixed anthropogenic and two secondary sources; further multiple linear regression revealed their contributions to individual organic acids. It turned out that more than 70% of C14–C18fatty acids were attributed to anthropogenic sources, about 50%–85% of the C20–C32fatty acids were attributed to natural sources, 80%–95% of dicarboxylic acids and 1,2-phthalic acid were secondary in contrast with that 81% of 1,4-phthalic acid was primary. 相似文献
140.
Abstract Land-use change is an important aspect of global environment change. It is, in a sense, the direct result of human activities influencing our physical environment. This paper analyzed the land- use change in Northeast China during 1985–2000 based on Landsat TM images. It divides Northeast China into five land-use zones based on the dynamic degree model of land-use: woodland/grassland-arable land conversion zone, dry land-paddy field conversion zone; urban expansion zone, interlocked zone of farming and pasturing and reclamation and abandon zone. The findings include the obvious increase of cropland area, paddy field and dry land increased by 75 and 276 thousand hm2 respectively; urban areas expanded rapidly, areas of town and rural residence increased by 76.8 thousand hm2; areas of forests and grassland decreased sharply with the amounts of 1399 and 1521 thousand hm2 respectively; areas of water body and unused land increased by 148 and 514 thousand hm2 respectively. This paper also discusses the driving forces in each land-use dynamic zone and finds that some key biophysical factors affect conspicuously the conversion of different land-use types. The relation between land-use conversion and DEM, accumulated temperature (≤10°C) and precipitation was analyzed and represented. The land-use changes In Northeast China resulted from the changing macro social and economic factors and local physical elements. Rapid population growth and management changes can explain the shaping of woodland/grassland-cropland conversion zone. The conversion from dry land to paddy field in the dry land-paddy field conversion zone, apart from the change of physical elements promoting the expansion of paddy field, results from two reasons: one is that the implementation of market economy in China has given farmers the right to decide what and how they plant their crops, the other factor is originated partially from the change of the dietary habit along with the social and economic development. The conversion from paddy field to dry land is caused primarily by the shortfall of irrigation water, which in turn is caused by poor water allocation managed by local governments. The shaping of the reclamation and abandon zone is partially due to the lack of environment protection consciousness among pioneer settlers. The reason for the conversion from grassland to cropland is the relatively higher profits of farming than that of pasturing in the interlocked zone of farming and pasturing. In Northeast China, the rapid expansion of built-up areas results from two factors: the existence of a small number of towns and the huge potential for expansion of the existing towns and cities. The urban land expanded mainly in areas with a gentle topographic relief and low population density. 相似文献