Hydrologic Landscape Classification to Estimate Bristol Bay,Alaska Watershed Hydrology

Hydrologic landscapes (HLs) have proven to be a useful tool for broad scale assessment and classification of landscapes across the United States as they help organize larger geographical areas into areas of similar hydrologic characteristics. We developed a HL classification for the Bristol Bay watershed of southwest Alaska that incorporates indices of annual climate and seasonality, terrain, geology, and the influences of large lakes and glaciers. A HL classification is particularly useful in this large watershed because of its hydrologic and landscape variability, important salmon fishery, variety of environmental and potential anthropogenic stressors, and lack of widespread hydrologic data. Following creation of Bristol Bay basin‐wide HL classes, we compared the HL distributions within watersheds grouped by two calculated runoff parameters derived from available long‐term streamflow records and found HL distributions within these groups provided predictive insight on hydrologic behavior. Using these developed runoff groups, we estimated expected hydrologic behavior in watersheds across the larger Bristol Bay watershed that lacked gauged streamflow records. The HL approach provides a scientific basis for estimating the first‐order hydrologic behavior of watersheds and landscapes that lack detailed hydrologic information.     

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。     

中国适应气候变化技术分类研究

近百年来,全球气候变化呈现出变暖的主要特征,气候变化所带来的影响日趋严重,其所造成的经济损失在全球范围内显著上升。适应气候变化是现阶段应对气候变化行动的重要方面,适应气候变化的技术分类研究是清晰认识适应气候变化的基础,是实现适应技术集成并构建合理有效的适应技术体系的手段。本文通过对适应气候变化技术分类问题的分析,提出了不同的适应气候变化技术分类方式,气候变化影响过程、区域、领域、适应目的、适应机制、适应时效、适应程度、适应层面等,针对气候变化及其影响梳理了中国不同区域与不同领域的适应气候变化技术清单。从气候变化影响过程来看,可以将适应气候变化技术分为气候变化影响发生前、发生过程中、发生后三类;从区域与领域气候变化影响来看,可以将适应气候变化技术分为八大区域与七大领域;本研究重点针对八大区域与农业、水资源、生态环境三大领域进行了分析。通过研究发现,现阶段适应气候变化技术分类研究尚存在一些问题,适应气候变化技术分类的导向不明确,造成对适应技术认识的不清晰;适应气候变化技术的分类往往与分层混淆在一起,导致人们对适应气候变化技术的认识和理解出现偏差;适应气候变化技术分类对适应行动的指导作用存在不足。综合来看,对适应气候变化技术进行精细分类,可以为适应气候变化技术的筛选、集成、效益评估奠定基础,推进适应气候变化行动高效有序开展,为适应气候变化技术体系构建提供支撑。     

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％。     

GHS化学品危险性分类及其公示要素(下)

概述了全球化学品统一分类和标签制度（GHS）的产生背景、推行GHS的重要意义,介绍了GHS关于化学品危险性分类和公示要素的主要内容,评估了我国现行化学品危险性分类与GHS分类的差异点,并对我国全面实施GHS提出了若干对策建议。     

Object-Based Classification as an Alternative Approach to the Traditional Pixel-Based Classification to Identify Potential Habitat of the Grasshopper Sparrow

The traditional method of identifying wildlife habitat distribution over large regions consists of pixel-based classification of satellite images into a suite of habitat classes used to select suitable habitat patches. Object-based classification is a new method that can achieve the same objective based on the segmentation of spectral bands of the image creating homogeneous polygons with regard to spatial or spectral characteristics. The segmentation algorithm does not solely rely on the single pixel value, but also on shape, texture, and pixel spatial continuity. The object-based classification is a knowledge base process where an interpretation key is developed using ground control points and objects are assigned to specific classes according to threshold values of determined spectral and/or spatial attributes. We developed a model using the eCognition software to identify suitable habitats for the Grasshopper Sparrow, a rare and declining species found in southwestern Québec. The model was developed in a region with known breeding sites and applied on other images covering adjacent regions where potential breeding habitats may be present. We were successful in locating potential habitats in areas where dairy farming prevailed but failed in an adjacent region covered by a distinct Landsat scene and dominated by annual crops. We discuss the added value of this method, such as the possibility to use the contextual information associated to objects and the ability to eliminate unsuitable areas in the segmentation and land cover classification processes, as well as technical and logistical constraints. A series of recommendations on the use of this method and on conservation issues of Grasshopper Sparrow habitat is also provided.     

填埋场矿化垃圾的分选实验研究

针对上海市老港垃圾填埋场填埋龄为10年的矿化垃圾,选择了滚筒筛作为分选手段,并对其运行工况进行了研究。结果表明,开采出来的垃圾中可利用的细料占39％,可回收物质占22％,具有较高的回收利用价值。同时确定了实验用滚筒筛筛分矿化垃圾的孔径为40mm,最佳运行条件是v／V（v为滚筒实测转速,V为滚筒极限转速）为0．51-0．60、角度为4．5°-6．5°。     

改进有毒作业分级方法在工业企业中的应用

介绍了有毒作业分级(GB12331-90)存在的问题,并提出了相应的改进措施。针对工业企业中存在的有毒作业危害,以某汽车工业企业为例,采用改良后的有毒作业分级方法对企业中各岗位进行分析,确定各岗位职业病危害因素及危险程度大小。通过理论分析和实例应用,证明该方法工作量小,计算结果可靠,使职业危害的预防和控制更具针对性,有很强的实用性。     

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。     

基于灾度的亚洲巨灾划分标准研究

分析了灾害的双重属性:自然属性和社会属性。灾度是灾害社会属性的定量描述,论述了灾度在灾害分级中的应用。提出了灾度计算模型,该模型的影响因子包括:死亡人数、直接经济损失和受灾人数。收集了1954-2010之间的亚洲灾害,并应用灾度计算模型对收集到的资料进行了计算与分析。提出了亚洲巨灾标准:灾度大于8的灾害为亚洲巨灾。该标准具有计算简便、易于对不同灾害进行比较的特点。