十一五省际节能绩效及绿色距离变化

从十一五节能目标出发,利用2006~2010年全国30个省区的统计数据,分析了各省区节能效率及绿色距离的变化。结论如下：（1）依据各省区单位GDP能耗、单位IAV能耗和单位GDP电耗数据计算它们的节能量与节能效率,结果发现各省区节能量与节能效率差异较大;（2）利用单位GDP能耗与单位IAV能耗、单位GDP电耗的面板数据,确定了生态省建设的单位IAV能耗、单位GDP电耗标准分别为1.513 7tce和95547度;（3）依据能耗绿色距离和生态化实现度公式,分析了各省区能耗绿色距离和生态化实现度的变化。既是对过去5 a各省区节能效率的回顾性评价,同时也为未来5 a各省区节能降耗提供了参考依据     

平原区农村居民点用地空间整治分类研究——以河北省曲周县为例

土地整治是对低效、空闲和不合理利用的土地进行治理,提高土地利用率和产出率的活动,是各类土地整理、复垦、开发以及城乡建设用地增减挂钩等活动的统称,其实质内容之一是从空间上对土地利用进行优化布局。农村居民点用地是我国进行土地整治的重要区域,对于农村居民点用地空间整治进行分类研究是新农村建设和农村土地整治的前提和基础工作。曲周县位于黄淮海平原的中部,黄淮海平原是我国主要的粮食主产区和农村人口的集聚地,对于其农村居民点用地空间整治分类进行研究,对于实现区域城乡一体化发展具有战略意义。论文按照新农村建设的要求,从发展基础、生产条件、生活条件和生态环境四个方面选取农村居民点用地整治的评价指标,利用量化后的指标和多因素综合评价法,运用聚类分析法将曲周县农村居民点用地空间整治划分为就地城镇化型、重点发展型、限制扩建型和迁移合并型四种类型。研究结果符合实际,为当地土地整治和新农村建设工作提供了理论支撑,对于其他类似地区具有借鉴意义。     

成渝地区空气重污染天气形势分析

利用Lamb-Jenkinson客观环流分型法,对成渝地区及4个子区域2014—2018年高度场和海平面气压场进行了环流分型,并探讨了环流型与空气污染的关系.结果表明,成渝地区海平面气压场的最高频率环流型为东北气流型(NE),850 hPa上为高压型(A),500 hPa上为平直西风气流型(W).综合来看,成渝地区易发生污染天气形势是:高空500 hPa为平直西风(W),地面和850 hPa上为低压(C)或东南气流型(SE);易出现优良天气的环流形势是:高空500 hPa为平直西风(W),地面和850 hPa上为高压(A)或东北气流型(NE).对个例进行分析后发现,当地面为气旋或东南气流,同时风速较小时,不利于污染物的水平扩散;若高空为弱脊控制或者为槽后西北气流,则在下沉气流的作用下,不利于污染的垂直扩散,地面污染进一步加重.     

我国《非常规工作制条件下职业接触限值调整指南》的核心内容

对我国现行的职业接触限值进行梳理,系统研究美国、加拿大等国家职业接触限值调整的原理及方法,提出我国非常规工作制条件下职业接触限值的调整,进行系统综述,确定标准框架及实施难点和技术问题,建立722种职业性化学有害因素数据库,确定其调整分类,专家评议。确定我国《非常规工作制条件下职业接触限值调整指南》的核心内容,包括调整原则、步骤、调整系数的计算以及根据健康损害类型、生物半减期（如果已知）、建立职业接触限值的依据以及毒理学及药（毒）代动力学数据对722种职业性化学有害因素的非常规工作制调整分类及调整方法等。调整方法包括4种:不需调整、日调整、周调整及日调整或周调整（选择2者中较严格的1种）。建议尽快以推荐性标准发布《非常规工作制条件下职业接触限值调整指南》,并加快多种接触联合作用研究。     

长江中游大型通江湖泊湿地景观格局演变特征

鄱阳湖和洞庭湖湿地是长江中游仅有的两个天然通江湖泊湿地,具有不可替代自然和人文价值。近年来,尤其是三峡工程运行以后两湖湿地景观格局发生改变,对区域生态系统平衡和社会经济发展产生重要影响。以Landsat 7为数据源,通过决策树分类及高斯回归的方法定量评估了三峡工程运行前后两湖湿地景观格局的演变特征及其差异性,旨在正确认识大型水利工程的生态效应,为湿地保护与重建提供科学依据。结果表明:2000~2014年,洞庭湖枯水期水位变化不明显。从历史演变特征来看,虽然有少部分植被挤占泥滩和水体,但总体上3种湿地景观类型面积变化不大。相比之下,三峡工程运行后鄱阳湖枯水期水位显著下降,水体面积萎缩近14%,植被面积增加约8%。与2000年相比,2014年鄱阳湖植被分布高程下降了1 m多。不同程度的干旱胁迫是形成两湖湿地景观格局差异性演变特征的主要原因。     

粉尘性质对电除尘器性能影响的试验研究

在半工业化的电除尘器实验系统装置上进行了烧结灰、飞灰、煤铁混合样的粒径分布及粉尘的真密度对电除尘器性能影响的实验研究。结果表明,电除尘器能有效捕集亚微米粉尘,对烧结灰净化最适合的粒径范围为1．37～2．03μm(η高达100％);对煤铁混合样的最适合粒径范围为3．30～7．25μm(η高达100％);电除尘器对煤铁混合样的粒径小于2．24μm的分级效率η高达92．36％。在同等试验条件下,电除尘器对烧结灰和煤铁混合样的总除尘效率为96．87％,高于飞灰的总除尘效率92．61％。     

Characterization of Escherichia Coli Isolates from Different Fecal Sources by Means of Classification Tree Analysis of Fatty Acid Methyl Ester (Fame) Profiles

Microbial source tracking (MST) methods need to be rapid, inexpensive and accurate. Unfortunately, many MST methods provide a wealth of information that is difficult to interpret by the regulators who use this information to make decisions. This paper describes the use of classification tree analysis to interpret the results of a MST method based on fatty acid methyl ester (FAME) profiles of Escherichia coli isolates, and to present results in a format readily interpretable by water quality managers. Raw sewage E. coli isolates and animal E. coli isolates from cow, dog, gull, and horse were isolated and their FAME profiles collected. Correct classification rates determined with leaveone-out cross-validation resulted in an overall low correct classification rate of 61%. A higher overall correct classification rate of 85% was obtained when the animal isolates were pooled together and compared to the raw sewage isolates. Bootstrap aggregation or adaptive resampling and combining of the FAME profile data increased correct classification rates substantially. Other MST methods may be better suited to differentiate between different fecal sources but classification tree analysis has enabled us to distinguish raw sewage from animal E. coli isolates, which previously had not been possible with other multivariate methods such as principal component analysis and cluster analysis.     

地震灾区分级和灾害程度排序方法研究——以汶川8.0级地震为例

根据汶川8.0级地震震害评估工作的具体实践,探讨了地震灾区分级和灾害程度排序的方法。通过房屋震害系数、强震加速度观测记录、发震构造、地震地质灾害和场地条件、人口分布及伤亡情况等影响因素来确定受灾程度,以烈度区、统计学方法、速报灾情等来确定灾区分级。     

Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed

Riparian zones are deemed significant due to their interception capability of non-point source impacts and the maintenance of ecosystem integrity region wide. To improve classification and change detection of riparian buffers, this paper developed an evolutionary computational, supervised classification method--the RIparian Classification Algorithm (RICAL)--to conduct the seasonal change detection of riparian zones in a vast semi-arid watershed, South Texas. RICAL uniquely demonstrates an integrative effort to incorporate both vegetation indices and soil moisture images derived from LANDSAT 5 TM and RADARSAT-1 satellite images, respectively. First, an estimation of soil moisture based on RADARSAT-1 Synthetic Aperture Radar (SAR) images was conducted via the first-stage genetic programming (GP) practice. Second, for the statistical analyses and image classification, eight vegetation indices were prepared based on reflectance factors that were calculated as the response of the instrument on LANDSAT. These spectral vegetation indices were then independently used for discriminate analysis along with soil moisture images to classify the riparian zones via the second-stage GP practice. The practical implementation was assessed by a case study in the Choke Canyon Reservoir Watershed (CCRW), South Texas, which is mostly agricultural and range land in a semi-arid coastal environment. To enhance the application potential, a combination of Iterative Self-Organizing Data Analysis Techniques (ISODATA) and maximum likelihood supervised classification was also performed for spectral discrimination and classification of riparian varieties comparatively. Research findings show that the RICAL algorithm may yield around 90% accuracy based on the unseen ground data. But using different vegetation indices would not significantly improve the final quality of the spectral discrimination and classification. Such practices may lead to the formulation of more effective management strategies for the handling of non-point source pollution, bird habitat monitoring, and grazing and live stock management in the future.     

Mapping wetlands in the Lower Mekong Basin for wetland resource and conservation management using Landsat ETM images and field survey data

The Mekong River Basin is considered to be the second most species rich river basin in the world. The 795,000 km(2) catchment encompasses several ecoregions, incorporating biodiverse and productive wetland systems. Eighty percent of the rapidly expanding population of the Lower Mekong Basin (LMB), made up in part by Lao PDR, Thailand, Cambodia and Viet Nam, live in rural areas and are heavily reliant on wetland resources. As the populations of Cambodia and Lao PDR will double in the next 20 years, pressure on natural resources and particularly wetlands can only increase. For development planning, resource and conservation management to incorporate wetland issues, information on the distribution and character of Mekong wetlands is essential. The existing but outdated wetland maps were compiled from secondary landuse-landcover data, have limited coverage, poor thematic accuracy and no meta-data. Therefore the Mekong River Commission (MRC) undertook to produce new wetland coverage for the LMB. As resources, funding and regional capacity are limited, it was determined that the method applied should use existing facilities, be easily adaptable, and replicable locally. For the product to be useful it must be accepted by local governments and decision makers. The results must be of acceptable accuracy (>75%) and the methodology should be relatively understandable to non-experts. In the first stage of this exercise, field survey was conducted at five pilot sites covering a range of typical wetland habitats (MRC wetland classification) to supply data for a supervised classification of Landsat ETM images from the existing MRC archive. Images were analysed using ERDAS IMAGINE and applying Maximum Likelihood Classification. Field data were reserved to apply formal accuracy assessment to the final wetland habitat maps, with resulting accuracy ranging from 77 to 94%. The maps produced are now in use at a Provincial and National level in three countries for resource and conservation planning and management applications, including designation of a Ramsar wetland site of international importance.