利用CFSR数据开展海上风电场长年代风能资源评估

开展长年代风能资源评估可为海上风电场的可行性研究和风险评估提供依据和支撑。创新性地引入了气候预测系统再分析(CFSR)数据,以江苏响水海上风电场为例开展了长年代风能资源评估,结果表明:CFSR数据10 m高度风速与海上气象塔10 m高度风速的平均偏差为-0.2 m·s~(-1),均方根误差为1.9 m·s~(-1);CFSR数据10 m高度风速与海上气象塔90 m高度风速的相关系数范围在0.359~0.619,相比气象站的相关系数提高了40%~90%;长年代订正得到海上气象塔90 m高度近30 a的风数据,多年平均风速为6.9 m·s~(-1),标准差为0.2 m·s~(-1)(2.9%);测算出海上风电场近30年的等效满负荷小时数,多年平均值为2 423 h,标准差为112 h(4.6%);评估出25 a一遇(海上风电场的寿命期)、10 a一遇、5 a一遇的最小年平均风速分别为6.6、6.7和6.8 m·s~(-1),最小年等效满负荷小时数分别为2 227、2 280和2 329 h。利用CFSR数据开展海上风电场长年代风能资源评估在技术上是可行的。     

Water scarcity and rioting: Disaggregated evidence from Sub-Saharan Africa

It is often purported that unusually dry weather conditions provoke small-scale social conflict—riots—by intensifying the competition for water. The present paper explores this hypothesis, using data from Sub-Saharan Africa. We rely on monthly data at the cell level (0.5×0.5 degrees), an approach that is tailored to the short-lived and local nature of the phenomenon. Using a drought index to proxy for weather shocks, we find that a one-standard-deviation fall in the index (signaling drier conditions) raises the likelihood of riots in a given cell and month by 8.3%. We further observe that the effect of unusually dry weather conditions is substantially larger in cells with a lower availability of water resources (such as rivers and lakes), a finding that supports the significance of the competition-for-water mechanism.     

Evaluating the aesthetic value of cultural ecosystem services by mapping geo-tagged photographs from social media data on Panoramio and Flickr

Traditional approaches for evaluating aesthetic value rely on surveys or interviews. Social media provides a new type of crowdsourcing data to examine the relationships between aesthetic value and citizens' activities. The main goal of this paper was to evaluate aesthetic value in Nebraska by using citizen-reported geo-tagged photographs posted on two social media sites – Panoramio and Flickr. The study used the application programming interface from Panoramio and Flickr to obtain the latitude and longitude of the geo-tagged photographs, and then used ArcGIS spatial statistical tools to examine spatial patterns with areas of aesthetic value in Nebraska. The outcomes identified the clusters of pictures with the locations of ecosystem service provisioning areas of aesthetic value in Nebraska, identified new areas with aesthetic value, and drew comparisons with local and regional population distribution. This study provided an innovative approach to using crowdsourcing data to verify the value of ecosystem services.     

微小卫星动力学环境试验及其数据处理

以上海微小卫星工程中心与复旦大学力学与工程科学系共同合作的微小卫星动力学试验研究项目作为背景,主要通过某真实型号微小卫星的振动环境试验和结构模态试验来介绍微小卫星环境试验技术和试验响应数据的处理方法。     

南京市在长江大保护工作中推进生态环境大数据融合的思考

以习近平长江经济带发展思路和实施国家大数据战略为背景,简要介绍了南京市长江大保护和大数据融合工作的现状与特点。在对标分析武汉市长江大保护和贵州省大数据融合先进工作经验的基础上,针对当前南京市大数据应用水平不高,难以为生态环境重要决策提供有效支撑的情况,从树立创新思维摸清沿江污染底数、树立法治思维推进大数据融合共享、树立融入思维推进社会化服务、树立数字思维适应信息化和“互联网+”发展等方面,对南京市如何深度整合利用现有大数据资源,构建具有南京特色的长江大保护“生态眼”监管系统提出对策和建议。     

A Statistical Assessment of Changes in Precipitation Chemistry at CAPMoN Sites, Canada

The objective of this study is to decide if chemical concentrations measured during 1988-1997in precipitation by the Canadian Air and Precipitation Monitoring Network (CAPMoN) indicate changes in the annual patterns. The inference is based on SO₄, NO₃, Cl,NH₄, Na, Ca and K concentrations monitored daily with the rain water acidity pH. By pattern is understood the probability distribution of the annual sample at a particular location. Most of the annual data can be well described by means of a linear regression model with second order polynomial trend and autocorrelated noise. Statistical analysis based on the model shows luck of systematic significant year to year increases or declines of the concentrations.     

国控重点污染源监督监测数据QA/QC量化评估体系探讨

阐述了建立国控重点污染源监督监测数据质量QA/QC量化评估体系的重要性和迫切性,从国控污染源QA/QC量化评估体系建设的基本思路、量化评估指标的组成、量化评估指标的权重及QL阈值等方面,对国控重点污染源监督监测数据质量QA/QC量化评价体系的建立进行探讨。     

国家污染源监测数据管理系统构建

针对全国污染源监测数据管理和应用需求,设计了一套污染源监测数据指标集,分析了污染源排放达标评价对象及评价结果表征方法,突破了建立电子化排放标准库、数据录入全过程多层次质量控制等关键技术,并在需求分析、功能设计和技术方案选择的基础上,开发了覆盖国家、省、市3级应用的污染源监测数据管理信息软件平台,取得了很好的应用效果。     

Invasive species change detection using artificial neural networks and CASI hyperspectral imagery

For monitoring and controlling the extent and intensity of an invasive species, a direct multi-date image classification method was applied in invasive species (salt cedar) change detection in the study area of Lovelock, Nevada. With multidate Compact Airborne Spectrographic Imager (CASI) hyperspectral data sets, two types of hyperspectral CASI input data and two classifiers have been examined and compared for mapping and monitoring the salt cedar change. The two types of input data are all two-date original CASI bands and 12 principal component images (PCs) derived from the two-date CASI images. The two classifiers are an artificial neural network (ANN) and linear discriminant analysis (LDA). The experimental results indicate that (1) the direct multitemporal image classification method applied in land cover change detection is feasible either with original CASI bands or PCs, but a better accuracy was obtained from the CASI PCA transformed data; (2) with the same inputs of 12 PCs, the ANN outperforms the LDA due to the ANN’s non-linear property and ability of handling data without a prerequisite of a certain distribution of the analysis data.     

重点污染行业环境统计准专家系统制作

以燃煤发电行业废气污染核算为例,介绍了环境统计准专家系统的制作原理。将环境统计专家的专业知识优势与先进的计算机技术结合,制作准专家系统辅助基层环境统计人员工作,可以提高环境统计数据质量。目前我国基层环境统计部门非常需要这种易用、相对准确的方式来辅助其工作,环境统计准专家系统为在当前我国国情下提高环境统计数据质量探索了一条低成本、易推广的道路。