排序方式: 共有12条查询结果,搜索用时 15 毫秒
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Liu Yu Wang Zhipeng Liu Xuan Zhang Baolei 《Environmental science and pollution research international》2021,28(47):66804-66818
Environmental Science and Pollution Research - Urban morphology is a crucial contributor to urban heat island (UHI) effects. However, few studies have explored the complex effect of 2D/3D urban... 相似文献
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实验室重金属废水处理研究 总被引:1,自引:0,他引:1
根据实验室废水中Hg2+和Cr3污染特点,以硫酸亚铁、硫化钠作为还原剂,将废水中的Cr6+还原为Cr3+,Hg2+和Cr3+以沉淀的形式混凝去除。分别考察pH值、反应时间及还原剂投加量对两种重金属去除率的影响,结果表明过低的反应时间不利于Cr6+和Hg2+的去除,pH2.0时,Cr6+和Hg2+的还原效率较高,FeSO4和Na2S加量分别在1 000 mg/L和667 mg/L时,Cr6+和Hg2+具有较高的去除效率。利用正交实验对污染物去除条件进行优化,结果表明,两种无机还原剂投加比例对铬、汞两种重金属离子的去除率影响大,pH值次之,反应时间对去除率的影响最小,在pH为2.0、FeSO4和Na2S加量分别在1 000 mg/L和667 mg/L,反应时间为30 min时,废水中Hg2+和Cr6+的去除率最高,分别达到98.23%、95.97%,处理后废水达到国家污水排放标准。 相似文献
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基于BP神经网络的大气污染物浓度预测 总被引:1,自引:0,他引:1
利用BP神经网络结合变量筛选的方法建立了SO_2、NO_2、O3、CO、PM_(10)、PM_(2.5)等6种污染物的浓度预测模型,并选取2014-01-01至2015-11-28时段,昆明市区5个环境监测点以上6种污染物浓度的监测数据建立了昆明市污染物日均浓度预测模型.采用平均影响值(Mean Impact Value,MIV)的方法筛选出分别对6种污染物日均浓度值有主要影响的变量,作为BP神经网络的输入变量,利用建立的预测模型分别对6种污染物的日均浓度进行预测.结果表明,在关上监测点利用浓度预测模型对SO_2、NO_2、O3、CO、PM_(10)、PM_(2.5)等6种污染物浓度进行预测,污染物浓度预测值和实测值趋势吻合度较高.变量筛选后SO_2、PM_(2.5)预测效果比变量筛选前的预测效果好.O3的均方根误差和PM_(10)的标准化平均偏差,变量筛选前的预测效果比变量筛选后的预测效果好.变量筛选前的NO_2和CO的预测结果比变量筛选后的预测效果好.其他4个环境监测点的污染物浓度预测结果与关上监测点的结果相似. 相似文献
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Zhang Baolei 《中国人口.资源与环境(英文版)》2013,11(3):83-89
Abstract The Three Gorges Project attracts worldwide attention because of the Three Gorges migrants, and the agriculture of the Three Gorges Reservoir Area is a foundation for the development of the Three Gorges migrants. The Three Gorges Reservoir Area is situated at the mountainous area with bad agricultural development conditions and relatively low levels of development. As a result, the large-scale migration has special influence on its agricultural development, which has attracted much attention. The paper analyzes influence that the migrants have forced on its agricultural development based on the scientific data, and makes some explorations on the models that are suitable for the development of mountainous agriculture in the Three Gorges Reservoir Area 相似文献
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Yufeng Wu Baolei Wang Qijun Zhang Ruiqing Li Chenghua Sun Wei Wang 《Journal of Material Cycles and Waste Management》2014,16(4):635-641
In this paper, an efficient recovery of rare earth elements from waste fluorescent phosphors has been reported and the novel process of alkali fusion and acid leaching has been proposed. The experimental results have shown that the key for efficient recycling is the complete dissolution of waste fluorescent phosphors. The Na2O2-to-waste mass ratio, calcination temperature and reactive time play considerable roles in rare earth elements extraction during the alkali fusion process. The optimal conditions in terms of temperature, time and Na2O2-to-waste mass ratio are 650 °C, 15 min and 2:1, respectively, under which more than 99.5 % rare earth elements are extracted. The possible reaction mechanism of alkali fusion has been proposed. 相似文献
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Wetland is one of the most important ecosystems with varied functions and structures, and its loss has been a major issue. Wetland loss in Modern Yellow River Delta (MYRD) becomes a serious environmental problem, so its restoration attracts a great deal of attention from academia and governments. This article proposes a GIS-based multi-criteria comprehensive evaluation methodology for potential estimation of wetland restoration, using MYRD as an example. The model uses four kinds of data (hydrology, terrain, soil, and land use) and could be adapted by planners for use in identifying the suitability of locations as wetland mitigation sites at any site or region. In the application of the model in the MYRD, the research developed a lost wetland distributed map taking the better wetland situation of 1995 as the reference, and elevated the overall distribution trends of wetland restoration potential based on wetland polygon. The results indicated that the total area of wetland loss from 1995 to 2014 was 568.12 km2, which includes 188.83 km2 natural wetland and 21.80 km2 artificial wetland, respectively. The areas of lost wetland with low, middle, and high resilience ability are 126.82 km2, 259.92 km2, and 119.59 km2, occupying 25.05%, 51.33%, and 23.62%, respectively. The high-restoration-potential wetland included 98.47 km2 of natural wetland and 21.12 km2 of artificial wetland, which are mainly bush, reed, and ponds. The high-restoration-potential wetland is mainly distributed in the vicinity of Gudong oil field, the Yellow River Delta protected areas, and the eastern sides of Kenli county and Dongying city. 相似文献