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排序方式: 共有96条查询结果,搜索用时 343 毫秒
1.
黄土风化成土过程中主要元素迁移序列 总被引:1,自引:0,他引:1
主要研究了渭南黄土剖面中主要化学组分的分布特征、影响因素以及它们在风化成土过程中的迁移富集规律。结果表明:(1)在剖面中随着黄土与古土壤层的交替叠复,各组分含量由低-高或由高-低呈周期性变化。(2)碳酸盐含量的剧烈变化是影响黄土元素分布特征极为重要的因素,古土壤中一些组分的含量增高,主要是碳酸盐被强烈淋滤造成的相对富集。(3)在黄土风化成土过程中,CaCQ3、SiQ2、FeO、MgO、K2O、Na2O等本身的地球化学行为以迁移为主,而Al2O3、Fe2O3、TiO2等均以淀积为主。它们在黄土中的迁移能力有如下顺序:CaCO3>FeO>MgO>Na2O>K2O>SiO2>Al2O3>TiO2>Fe2O3。(4)除碳酸盐外,黄土风化成土过程中铁的变化比其它组分都明显,表现为价态以及形态的转化。铁的转化主要为就地完成.本身没有发生明显迁移。 相似文献
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介绍寒冷地区小型硫磺回收的设计特点,包括选用一、二、三级冷凝器同壳、低噪音鼓风机;试生产中的改进经验,包括过程气用蒸汽夹套保温,带有硫封的被硫储罐. 相似文献
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利用硫铁矿渣(灰)制取海绵铁 总被引:2,自引:0,他引:2
结合硫酸生产的特点,充分利用废热的方法,提出一种采用流态化技术,还原回收硫铁矿渣(灰)中铁元素的工艺流程,并对流程中的流态化还原炉进行了初步的物料,热理衡算,同时对该工艺流程技术经济比较作了小结。认为此工艺流程技术可靠,有直接经济效益,对综合利用硫铁矿渣(灰)中的铁元素,消除渣(灰)对环境的污染,有着深远的意义。 相似文献
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采用盐酸消解样品,用火焰原子吸收光谱法测定电镀废水中高浓度的锡的质量浓度,方法简单可靠。通过实验样品的分析,验证了方法的准确度和精密度。该方法干扰少,数据准确,适合废水分析。 相似文献
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Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China 总被引:2,自引:0,他引:2
Xiaohu Wen Jing Fang Meina Diao Chuanqi Zhang 《Environmental monitoring and assessment》2013,185(5):4361-4371
Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl?), calcium (Ca2+), total alkalinity, total hardness, nitrate nitrogen (NO3-N), and ammonical nitrogen (NH4-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO3-N, NH4-N, and Ca2+. Cl? was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters. 相似文献
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Environmental Fluid Mechanics - Subaerial landslide-generated impulse waves were investigated in a rectangular prismatic channel based on the Froude similarity criterion. Landslides were modeled... 相似文献
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Han Qu Hongting Diao Jiajun Han Bin Wang Gang Yu 《Frontiers of Environmental Science & Engineering》2023,17(1):12
Over the past decades, the plastic production has been dramatically increased. Indeed, a category of small plastic particles mainly with the shapes of fragments, fibers, or spheres, called microplastics (particles smaller than 5 mm) and nanoplastics (particles smaller than 1 μm) have attracted particular attention. Because of its wide distribution in the environment and potential adverse effects to animal and human, microplastic pollution has been reported as a serious environment problem receiving increased attention in recent years. As one of the commonly detected emerging contaminants in the environment, recent evidence indicates that the concentration of microplastics show an increasing trend, for the reason that up to 12.7 million metric tons of plastic litter is released into aquatic environment from land-based sources each year. Furthermore, microplastic exposure levels of model organisms in laboratory studies are usually several orders of magnitude higher than those found in environment, and the microplastics exposure conditions are also different with those observed in the environment. Additionally, the detection of microplastics in feces indicates that they can be excreted out of the bodies of animal and human. Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on current studies, which might be exaggerated. Policies reduce microplastic emission sources and hence minimize their environmental risks are determined. To promote the above policies, we must first overcome the technical obstacles of detecting microplastics in various samples. 相似文献
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