Application of Remote Sensing Detection and GIS in Analysis of Vegetation Pattern Dynamics in the Yellow River Delta

Abstract

Regional vegetation pattern dynamics has a great impact on ecosystem and climate change. Remote sensing data and geographical information system (GIS) analysis were widely used in the detection of vegetation pattern dynamics. In this study, the Yellow River Delta was selected as the study area. By using 1986, 1993, 1996, 1999 and 2005 remote sensing data as basic information resource, with the support of GIS, a wetland vegetation spatial information dataset was built up. Through selecting the land-scape metrics such as class area (CA), class percent of landscape (PL), number of patch (NP), largest patch index (LPI) and mean patch size (MPS) etc., the dynamics of vegetation pattern was analyzed. The result showed that the change of vegetation pattern is significant from 1986 to 2005. From 1986–1999, the area of the vegetation, the percent of vegetation, LPI and MPS decreased, the NP increased, the vegetation pattern tends to be fragmental. The decrease in vegetation area may well be explained by the fact of the nature environment evolution (Climate change and decrease in Yellow River runoff) and the increase in the population in the Yellow River Delta. However, from 1999–2005, the area of the vegetation, the percent of vegetation, LPI and MPS increased, while the NP decreased. This trend of restoration may be due to the implementation of water resources regulation for the Yellow River Delta since 1999.     

International Comparison of Occupational Safety and Health Research—A Review Based on Published Articles

A comparison of international literature in occupational safety and health (OSH) research over the years from 1980 to 1998 was conducted. The comparison is based on the different languages of the over 35,000 articles, which were collected from different databases. The distribution of languages in the analyzed data has to be considered carefully with respect to the original purpose of the data collection and the specific role of the international publication language, English. The comparison shows that in several aspects OSH research does not differ in different publication languages. In some methodological aspects, and in specific objects of research, differences between articles published in different languages can be found.     

基于3S技术的庄河市滨海湿地景观格局演变研究

庄河市位于黄海北部沿海地区,自然海岸线长达285km,拥有丰富的滨海湿地资源,对区域经济的发展具有显著的促进作用.以庄河市2000年和2010年的Landsat TM（或ETM）遥感影像获取研究区的滨海湿地斑块图形数据,选用生态意义较明确的景观特征指数,对庄河市滨海湿地的景观格局变化进行研究.研究结果表明,2000-2010年,庄河市滨海湿地总面积不断缩减,由2000年的131252.60hm2减少到2010年的121489.16hm2,减少幅度为7.44％;湿地斑块数不断增加,由2000年的3425块增加到2010年的3563块;湿地景观多样性指数（H）和景观形状指数（LSI）呈增加趋势,分别由2000年的0.6315和14.0分别增加到2010年的0.8554和18.7;景观优势度指数呈下降趋势,由2000年的0.8359下降到2010年的0.7364,表明庄河市滨海湿地的景观破碎化程度越来越严重.     

洪泽湖湖滨带表层沉积物氮、磷、有机质分布及污染评价

洪泽湖作为中国第四大淡水湖泊,是江苏北部地区重要的水源地,同时也是南水北调东线工程的重要调蓄湖泊之一,研究其湖滨带表层沉积物氮、磷、有机质的污染情况对维持洪泽湖水安全和生物多样性具有重要现实意义。基于2020年8月于洪泽湖湖滨带采集的43个表层（0~10 cm）沉积物样品,分析了总氮（TN）、总磷（TP）和有机质（OM）含量的空间分布特征及相关性,并运用综合污染指数法和有机污染指数法评价其污染程度。结果表明,洪泽湖湖滨带表层沉积物TN、TP、OM含量范围分别为232~2 152 ,123~439,0.91~18.65 mg/kg,均值分别为985,276,10.93 mg/kg;空间分布上均表现为东部大堤、成子湖和西部区域的TN、TP、OM含量高于过水通道;Pearson相关性分析显示,表层沉积物中ω(OM)与ω(TN)（r=0.705,P<0.01）、ω(TN)与ω(TP)（r=0.504,P<0.01）呈显著正相关;洪泽湖湖滨带表层沉积物综合污染指数范围为0.45~1.88,平均值为0.93,有机污染指数范围为0.001~0.221,平均值为0.067,2种评价方法均显示洪泽湖湖滨带表层沉积物中TN、TP、OM整体处于清洁—轻度污染状态。     

基于K-means聚类分析法的肇庆市干季PM2.5污染天气分型研究

通过分析肇庆市2013—2018年国控大气环境监测站的PM_(2.5)连续监测数据,发现肇庆市区PM_(2.5)浓度在干季(10月—次年4月)明显高于其余月份,轻度以上污染基本发生在干季,且PM_(2.5)浓度对年总浓度贡献达70.8%.基于Era-interim再分析资料采用K-means聚类分析法对2013—2018年干季逐日的海平面气压和10 m水平风进行分型,揭示了肇庆市易出现PM_(2.5)污染的6种大气环流形势,包括冷锋前部(CF)、变性高压脊(THR)、脊后槽前型(BRFT)、高压底后部(HSW)、弱冷高压脊(HR)和台风外围型(TP).2013—2016年易污染天气型影响天数呈明显减少趋势,2017—2018年呈增加趋势.不同天气型PM_(2.5)浓度与局地气象要素相关性不一致,其中CF、HR、HSW、TP天气型与湿度相关性最好,THR与风速、BRFT与气压相关性最好.PM_(2.5)污染除BRFT天气型主要以本地排放累积影响为主,其余易污染天气型存在不同尺度的外来输送影响,HSW、HR主要来自广州、清远、韶关, CF主要来自佛山、中山,THR来自广州、清远、佛山.同一污染天气型在不同月份的污染影响差异较大,其中HSW、THR污染型主要影响1月和10月,CF为1月和12月,HR为2月和12月,TP为10月,BRFT为1月和10—11月.不同年份的同一月份造成不同程度的PM_(2.5)污染除了排放影响,还与天气环流类型和同一天气型下的局地气象要素密切相关.     

从清洁生产到循环经济

清洁生产和循环经济是20世纪90年代以来在我国引人注目的两项实践。正确认识、积极推进清洁生产和循环经济,对于转变我国经济增长方式与发展模式、促进可持续发展具有重要意义。在将资源环境要素纳入经济系统内部,转变经济增长方式,促进资源环境和经济结合一体化发展模式的概念意义下,本文从宏观历史层面阐述了我国清洁生产和循环经济的发展过程、必然趋势及其长期曲折、交错推进的过程特征。分析了以废物循环作为循环经济的认识和实践误区,提出了以清洁生产为基础推进产业生态化,结合强化末端管制,以及围绕建立“绿色”市场进行制度创新为基本内容的发展我国循环经济的建议。     

Development of an Ecologic Marine Classification in the New Zealand Region

We describe here the development of an ecosystem classification designed to underpin the conservation management of marine environments in the New Zealand region. The classification was defined using multivariate classification using explicit environmental layers chosen for their role in driving spatial variation in biologic patterns: depth, mean annual solar radiation, winter sea surface temperature, annual amplitude of sea surface temperature, spatial gradient of sea surface temperature, summer sea surface temperature anomaly, mean wave-induced orbital velocity at the seabed, tidal current velocity, and seabed slope. All variables were derived as gridded data layers at a resolution of 1 km. Variables were selected by assessing their degree of correlation with biologic distributions using separate data sets for demersal fish, benthic invertebrates, and chlorophyll-a. We developed a tuning procedure based on the Mantel test to refine the classification's discrimination of variation in biologic character. This was achieved by increasing the weighting of variables that play a dominant role and/or by transforming variables where this increased their correlation with biologic differences. We assessed the classification's ability to discriminate biologic variation using analysis of similarity. This indicated that the discrimination of biologic differences generally increased with increasing classification detail and varied for different taxonomic groups. Advantages of using a numeric approach compared with geographic-based (regionalisation) approaches include better representation of spatial patterns of variation and the ability to apply the classification at widely varying levels of detail. We expect this classification to provide a useful framework for a range of management applications, including providing frameworks for environmental monitoring and reporting and identifying representative areas for conservation.     

多空间尺度景观格局与地表水质响应关系研究

截至2020年底,北京市已建成466条生态清洁小流域,其中,密云水库上游(北京境内)179条小流域,将于2022年底全部达到生态清洁小流域标准.本研究对密云水库流域进行子流域划分并创建缓冲区,通过汛期水质监测,结合统计分析和景观格局指数计算,量化不同空间尺度景观格局和水质的响应关系.结果表明:①密云水库主要河流水质除总...     

五台山亚高山草甸小格局分析

用种毗连法和种小区法对五台山２４００２８００ｍ的亚高山草甸的小格局分析．结果表明：在小格局中，大部分种与优势种苔草呈正关联；小格局规模都较小，各个种趋于交错分布；不同规模的格局应用不同的分析方法，小格局不能用中格局分析方法进行研究；种小区法和种毗连法都是有效的小格局分析方法，从本文结果看前者优于后者．     

上海市生活垃圾全程分类模式的研究和实践

提出了生活垃圾全程分类模式。通过试点，着重论述与该模式相对应的工作内容和方法，对城市生活垃圾的减量化、资源化、无害化推进具有指导意义。