基于神经网络模型的千岛湖清洁水体叶绿素a遥感反演研究

叶绿素a浓度值是水体水质评价的重要指标,研究基于高分一号(GF-1)卫星遥感影像,利用神经网络模型,选用6节点的隐含层设置,构建了千岛湖清洁水体叶绿素a浓度反演模型,对其叶绿素a浓度值时空特征进行分析,并与其他常规反演方法精确度进行比较.研究结果表明,利用神经网络模型对千岛湖清洁水体叶绿素a浓度值进行反演是可行的,且与其他常规方法相比,该模型对于叶绿素a含量低的内陆清洁水体反演有着更高的相关性(R2 = 0.921 8);在空间分布上,千岛湖区域水体叶绿素a浓度整体较低,高叶绿素a浓度区域主要集中易受人类活动干扰的西南及东北区域;年际变化分析表明,千岛湖区域水体叶绿素a浓度稳定,且波动较小,平均叶绿素a浓度值皆维持在1.70～1.75 pg/L之间,清洁水体特征显著.     

矿热炉炉壳安装作业危险性分析

为减少事故损失,必须对矿热炉安装施工危险源进行分析。基于此,对矿热炉安装工序中最重要工序炉壳安装应用作业危险性分析进行分析。将炉壳安装作业分成3大部分,用鱼刺图分析方法进行分析,总结出矿热炉炉壳安装中事故发生的主要原因并提出对策措施,以预防和减少事故的发生。     

Processes involved in uptake and release of nitrogen dioxide from soil and building stones into the atmosphere

Atmospheric NO₂ was taken up by samples of various soils and building stones. The NO₂ uptake rate constants were highest in soil samples taken during the summer months. However, the NO₂ uptake rate constants of the soils and building stones were not significantly correlated with any of the following variables: moisture, pH, ammonium, nitrite, or nitrate. NO₂ uptake by soil and stone was not abolished by autoclaving indicating a chemical uptake process. NO₂ uptake by acidic and air-dry soils and stones resulted in nearly stoichiometric reduction of NO₂ to NO. This reduction was enhanced by the addition of ferrous iron and was further enhanced by incubation under 1 ppmv SO₂. The results suggest that NO₂ reduction may be coupled to oxidation of ferrous to ferric iron which may be reduced again by atmospheric SO₂ thus regenerating the ferrous iron content of the soil or stone. Conversion of NO₂ to NO was not observed in neutral or/and moist soils and stones. NO₂ was also taken up by purified and sterilized quartz sand moistend with water. This uptake was enhanced by addition of humic material but not by addition of bacteria which both had been extracted from genuine soil. Under most conditions, only uptake but no release of NO₂ was observed. However, NO₂ was released in air-dry soils that were heated to 45–65°C, or in ammonium-fertilized soil or stone that was drying up at room temperature. Under the latter conditions mimicking field practice, the NO₂ release reached rates that were similar to the NO release rates.     

Risk-evaluation of Hi-tech Enterprise in the Process of Approaching Global Market

In the high technology industry, small and medium sized technology enterprises (SMSTEs) play a pivotal role in advancing the whole industry. To achieve sustainable development, they need to extend their scope of business activities beyond a national view and exploit international market actively to meet international competitions that increase quickly in the form of allocating resources within the scope of the world. However, the SMSTEs are also facing risks associated with themselves during the process of exploiting international market owing to their own restrictions, so what they should do is to consider risk evaluations in exploiting the international market.     

我国进城农民工的居住问题及其解决思路

解决好农民工的就业和居住问题是农民工融入城市社会，完成农民向市民转化的关键一步，也是新时期我国各个城市面临的挑战。在本文中，作者认为目前我国庞大的进城农民工群体逐渐出现了分化的现象，根据农民工对居住的需求和最终归宿，我国的农民工可分为永久迁移型（或定居型）和非永久迁移型（非定居型）两种类型。永久迁移型（或定居型）农民工希望举家迁移到城市并成为城市的永久性居民，而非永久迁移型（非定居型}农民工希望改善在城市的居住条件，同时尽可能降低在打工期间的居住成本，他们最终会回流农村地区，而不会在城市购房或定居在城市。本文在分析两种不同类型农民工居住需求的特征和面临问题的基础上，提出解决我国进城农民工居住问题的思路和对策。     

浙江木材产业可持续发展分析

浙江是一个森林资源稀缺的区域,在面临森林资源稀缺的条件下,浙江木材产业发展却位居全国前列.论文首先从产业规模、产业组织和产业集聚三方面总续了浙江木材产业发展现状及特点;在此基础上,总结了浙江木材产业快速发展过程中面临的主要问题,诸如木材资源供给的不可持续性、木材产业经营成本不断上涨、国际市场与国内市场分割等.问题分析表明,木材资源的短缺已成为浙江木材产业发展的瓶颈,经营成本的上涨影响了浙江木材产业发展的动力,国内外市场分割限制了浙江木材产业的竞争范围,这直接影响到浙江木材产业的可持续发展.现代市场经济发展表明,产业可持续发展需要企业、行业协会以及政府的通力合作.最后,论文分别从企业、行业协会和政府三个层面提出了促进浙江木材产业可持续发展的对策建议.     

蚯蚓对城镇污泥堆肥过程中微型动物群落演替的影响

采用实验对比和除趋势对应分析（DCA）等方法,以城镇污泥中的微型动物为对象,研究蚯蚓对堆肥过程微型动物群落演替的影响.结果表明,蚯蚓仅影响微型动物群落数量,对演替进程无明显影响.堆肥过程微型动物群落演替可分为3个阶段：第1阶段（0~10 d）,固着类纤毛虫为优势类群阶段,该阶段微型动物变化多受限于环境的改变,蚯蚓影响较小;第2阶段（10~30 d）,固着类纤毛虫和轮虫向肉足虫和线虫为优势类群的过渡阶段,该阶段蚯蚓对线虫数量有一定的限制;第3阶段（30 d后）,肉足虫和线虫为优势类群阶段,该阶段蚯蚓对有壳肉足虫的增长产生了明显的抑制作用.群落多样性指数结果显示,蚯蚓在第1和第2阶段作用不明显,在第3阶段增加了微型动物的多样性和均匀度,减小了优势物种的优势程度.对固着类纤毛虫的同化作用是蚯蚓稳定堆肥环境、促进有机质降解的重要因素.     

基于OMI数据的东南沿海大气臭氧浓度时空分布特征研究

基于臭氧监测仪(OMI)卫星反演数据,对2005—2018年东南沿海5省区域大气臭氧柱浓度数据进行提取及分析,探讨其时空分布格局及影响因素.结果表明:①在时间变化上,14年间,该区域大气臭氧柱浓度整体呈先上升后下降的趋势,2005—2013年臭氧柱浓度持续升高,最高值为324.52 DU,高值区不断向南部区域扩大;2013—2018年臭氧柱浓度呈下降趋势,最低值为228.27 DU,但在2017、2018年略有上升.②在空间分布上,臭氧柱浓度自北向南逐渐降低,高值区集中分布在江苏及浙江省北部;低值区集中于福建省南部及广东省大部分地区.③在季节变化上,大体呈现出春夏季高于秋冬季,高值区在春夏季交替出现,秋季略高于冬季,但差异不明显.④稳定性分析表明:研究区臭氧柱浓度整体呈现中部分散、南北部集聚、差异较显著的分布格局.⑤自然因素中,风向、气温均呈现显著正相关,江淮地区的梅雨季节(降水)及华南地区的台风和暴雨也起到显著作用.⑥人文因素中,臭氧柱浓度与地区生产总值、各产业生产总值及机动车保有量均表现出正相关,其中,臭氧柱浓度与第二产业的相关度最高.另外,臭氧柱浓度与NO_x排放量表现出显著相关性.VOC_s对臭氧柱浓度的影响中,工业源是主控因素,交通源和居民源次之,电厂源对臭氧柱浓度的影响最弱.这进一步说明臭氧浓度的变化受到了诸多因素的综合影响,但气温、NO_x及VOC_s的排放是臭氧浓度变化的主导因素.