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841.
842.
843.
建设项目卫生防护距离的确定方法 总被引:1,自引:1,他引:1
建设项目环境影响评价过程中的选址问题至关重要,卫生防护距离的可达性是必不可少的因素.以合成氨厂为例,探讨环境影响评价中卫生防护距离的确定方法,对无组织排放源、源强及参数的确定进行了说明. 相似文献
844.
ABSTRACT The introduction of the new biomass industry exerts influences that change the interactions among economic sectors by drawing the resources for generating electricity, pricing alterations from the existing market and competitively selling electricity to the power grid. These influences should be described and identified to ensure the benefits to the local economy. In this article, we deem to test the potential of hybrid I-O analysis to analyze the economic impacts and address the change in characteristics of the economic impacts of the biomass power plant. The resource utilization data from the existing biomass power plant located in Kochi Prefecture (Japan) is collected and then analyzed by a hybrid input-output (I-O) analysis. We found that (1) the use of cutoff function could determine the new economy’s structure included the biomass power plant where the allocation of resource in the economy is changed according to the consumption and production of the biomass power plant, (2) The power plant increases the total production of Kochi prefecture’s economy, and this benefit overthrows the negative effect of the loss of resource demand of the existing economic sectors. The use of the hybrid I-O to forecast the economic impacts on the local economy could enhance the decision made by the policymaker. 相似文献
845.
Zhen Shi Jie Xu Xiaoping Huang Xia Zhang Zhijian Jiang Feng Ye Ximei Liang 《环境科学学报(英文版)》2017,29(7):72-84
Nutrients, dissolved and particulate organic carbon and plankton (bacterio-, phyto- and zoo-) were compared in the turbidity maximum zone (TMZ) and adjacent areas (non-TMZ) in the Pearl River estuary. Our results showed that high levels of suspended substances had marked effect on dynamics of nutrients and plankton in the TMZ. Based on the cluster analysis of total suspended solids (TSS) concentrations, all stations were divided into two groups, TMZ with average TSS of 171 mg/L and non-TMZ of 45 mg/L. Suspended substances adsorbed PO43 − and dissolved organic carbon, resulting in higher particulate phosphorus and organic carbon (POC) and lower PO43 − and DOC in the TMZ, compared to the non-TMZ. However, suspended substances had limited effect on nitrogenous nutrients. Phytoplankton growth was light-limited due to high concentrations of suspended substances in the TMZ and a peak of phytoplankton abundance appeared in the non-TMZ. In contrast, the highest bacterial abundance occurred in the TMZ, which was likely partly responsible for low DOC levels. Two peaks of zooplankton abundance observed in the TMZ and non-TMZ in the Pearl River estuary were primarily supported by bacteria and phytoplankton, respectively. Our finding implied that high levels of suspended solids in the TMZ affect the trophic balance. 相似文献
846.
包气带油污土层的生物修复涉及到石油降解微生物、石油污染物的可生物降解性和土壤环境三个方面.本文通过最或然计数法(MPN)、原油族组分柱层析分析方法和色质联机分析等实验手段,研究了淄河滩包气带油污土层的水力学特性、氮磷营养元素、微生物和石油污染物.结果表明,长期受石油污染的土层含有丰富的微生物,其中大部分具有降解石油烃的能力,且土层的渗透性极强,有利于开展油污土层的生物修复.同时,长期的挥发、淋失和转化造成土层中石油污染物主要由高分子、高沸点烃类组成,且油污土层的速效氮、速效磷含量太低,直接增加了生物修复的难度,成为不利于生物修复的影响因素. 相似文献
847.
三峡水库消落带土壤N循环受到植被覆盖和季节性淹水的影响,对三峡水库水质具有潜在的不利影响,进行消落带植被恢复和提高土壤N保持能力成为保护库区水环境的重要措施.选择三峡库区一级支流澎溪河消落带为研究对象,分别在冲积潮土、紫色土和水稻土分布区采集狗牙根、香附子、苍耳以及玉米这4种典型植物根际、非根际土壤,分析了根际与非根际土壤理化性质与N赋存形态特征,并比较了不同植物类型根际富集效果,初步探究不同植物根际效应对消落带土壤N循环的影响.结果表明,所有植物根际土壤p H均低于非根际,有机质、全氮、全磷、速效氮均高于非根际,且根际富集率表现为香附子狗牙根玉米苍耳;不同植物根际对土壤全钾、有效磷、速效钾影响作用不一致;植物根际土壤中可转化态氮TF-N及其不同赋存形态离子交换态氮(IEF-N)、碳酸盐结合态氮(CF-N)、铁锰氧化态氮(IMOF-N)和有机态和硫化物结合态氮(OSF-N)均高于非根际土壤,植物根际效应能够改变土壤N赋存形态及其对N循环的贡献率,但狗牙根和香附子根际土壤中TF-N占TN的比率低于非根际,而玉米和苍耳相反,表明消落带玉米和苍耳覆盖加快了N素向TF-N转化,不利于土壤N素保持;消落带土壤有机质、总磷和有效磷含量与可转化态N形态显著相关,是土壤N形态转化的主要因素.研究表明,消落带狗牙根和香附子覆盖对土壤N素的保持优于玉米和苍耳,植物根际效应对消落带土壤N循环的影响为消落带植被恢复中植物选择提供了参考. 相似文献
848.
849.
Surface monitoring, vertical atmospheric column observation, and simulation using chemical transportation models are three dominant approaches for perception of fine particles with diameters less than 2.5 micrometers (PM2.5) concentration. Here we explored an image-based methodology with a deep learning approach and machine learning approach to extend the ability on PM2.5 perception. Using 6976 images combined with daily weather conditions and hourly time data in Shanghai (2016), trained by hourly surface monitoring concentrations, an end-to-end model consisting of convolutional neural network and gradient boosting machine (GBM) was constructed. The mean absolute error, the root-mean-square error and the R-squared for PM2.5 concentration estimation using our proposed method is 3.56, 10.02, and 0.85 respectively. The transferability analysis showed that networks trained in Shanghai, fine-tuned with only 10% of images in other locations, achieved performances similar to ones from trained on data from target locations themselves. The sensitivity of different regions in the image to PM2.5 concentration was also quantified through the analysis of feature importance in GBM. All the required inputs in this study are commonly available, which greatly improved the accessibility of PM2.5 concentration for placed and period with no surface observation. And this study makes an exploratory attempt on pollution monitoring using graph theory and deep learning approach. 相似文献
850.
区域环境影响评价中水污染源分析 总被引:2,自引:0,他引:2
介绍几种水污染源的估算方法及其适用情况,通过实例分析了它们在区域环境影响评价中的应用。 相似文献