海温异常对东亚夏季风强度先兆信号的影响

利用ERA-Interim再分析资料、NOAA海温资料、CMAP格点降水资料和中国气象站降水资料,通过合成、相关和回归分析等方法研究了1979—2012年东亚夏季风强度与其先兆信号的关系,并分析了热带海温异常的可能影响。研究表明:东亚夏季风先兆指数反映了2月200 hPa纬向风距平的主要模态特征 (EOF1),前冬热带中东太平洋海温偏低 (高),2月亚洲地区西风急流位置偏北 (偏南),东亚夏季风先兆指数偏强 (弱)。前期热带海温异常对东亚夏季风强度有明显影响,前冬热带中东太平洋海温偏低 (高) 有利于东亚夏季风偏强 (弱)。2月亚洲中纬度地区纬向风异常特征在春季不能持续,先兆信号与东亚夏季风强度的联系主要源自热带海洋。     

经验模态分解方法在树木年轮宽度序列标准化中的应用

高分辨率的树木年轮是记录历史时期气候变化的良好生物载体,在古气候研究中被广泛应用。但年轮宽度与气候因子之间有着复杂的联系,这种关系受气候因子之间的相互制衡和因物种而异的树木生长节律的共同影响。在利用树木年轮开展历史时期气候变化的研究中,剔除树木年轮与年龄相关的生长趋势是准确获取气候信号的先决条件。然而,传统的和相对改进的一些树轮标准化方法在拟合并剔除树龄相关的趋势及非气候干扰信息方面仍存在一些问题。本文利用经验模态分解(EMD)方法进行树轮资料的标准化方法研究, 对已获得的树轮生长序列所记录的信息进行分解,得到一系列不同物理意义的本征模态分量,结合多样本信息的对比及生物学特性,深入解读各分量表征的气候变化、环境干扰及缓慢生长趋势项等不同物理意义,进而剔除非气候信息,得到可以准确反映气候变化的代用序列,并将该方法与目前广泛采用的标准化方法进行对比,分析不同方法的利弊所在,为进一步改进树轮标准化方法提供新思路。     

遥感干旱应用技术进展及面临的技术问题与发展机遇

干旱是全球各地区普遍存在的一种气候现象,也是对人类社会影响最为严重的一种自然灾害。全球气候变化和社会发展加剧了干旱的影响程度,增强了干旱灾害的风险,给全球农业、水资源、生态环境安全以及社会可持续发展造成巨大威胁,提高干旱监测和早期预警技术水平是应对、管理干旱和减轻干旱脆弱性的基础。近30 a来随着全球对地观测技术的迅速发展,卫星遥感监测干旱技术取得很大进步,在全球干旱监测和早期预警中发挥着不可替代的作用。但是,干旱是多学科交叉的复杂问题,其发展过程缓慢、时间和空间表现特征差异很大,遥感监测干旱技术在应用中还存在许多技术问题,对抗旱防灾提供支撑的力度仍不够。本文在简要总结卫星遥感监测干旱应用技术的基础上,对各种指数(模型)应用中存在的问题进行评述,指出卫星遥感干旱监测面临的主要技术问题和未来发展机遇;针对我国卫星遥感干旱应用现状,提出了亟待解决的主要问题和应该努力的方向。     

高速公路交通事故与气象条件的关系研究

恶劣天气是高速公路交通事故发生的重要诱因。为了解气象条件对高速公路交通事故的影响程度,基于2006—2008年汉宜高速公路交通事故数据,统计分析了该路段交通事故的月际和日变化特征,利用事故率和日交通事故指数区分定义了交通事故频次和灾害严重程度,采用多项式曲线拟合了气象条件与事故指数的关系,确定了事故突发增长的临界气象指标。结果表明:汛期5—9月是汉宜高速公路交通事故高发时期,冬季其次,春季3—4月及秋季10—11月事故发生较少。高速公路交通事故存在明显日变化特征,03—04时和14—17时为事故高发时段。汉宜高速公路交通事故频率主要受中到大雨和夏季高温天气的影响,事故灾害严重程度主要受强降水和冬季低温天气的影响。大风强降水天气条件下的事故率要高于一般强降水条件下的事故率,夏季潮湿、闷热天气条件下的事故率要高于一般高温天气条件下的事故率。当高速公路沿线平均日雨量达到中到大雨时,事故率达到高峰;当沿线平均雨量超过20 mm时,事故灾害突发严重。当公路沿线平均高温超过33℃时,事故率突发增长;0~3℃的低温对事故灾害程度影响较大。     

Detection and Correction of AMSR-E Radio-Frequency Interference

Radio-frequency interference (RFI) affects greatly the quality of the data and retrieval products from space-borne microwave radiometry. Analysis of the Advanced Microwave Scanning Radiometer on the Earth Observing System (AMSR-E) Aqua satellite observations reveals very strong and widespread RFI contam- inations on the C- and X-band data. Fortunately, the strong and moderate RFI signals can be easily identified using an index on observed brightness temperature spectrum. It is the weak RFI that is diffi- cult to be separated from the nature surface emission. In this study, a new algorithm is proposed for RFI detection and correction. The simulated brightness temperature is used as a background signal (B) and a departure of the observation from the background (O-B) is utilized for detection of RFI. It is found that the O-B departure can result from either a natural event (e.g., precipitation or flooding) or an RFI signal. A separation between the nature event and RFI is further realized based on the scattering index (SI). A positive SI index and low brightness temperatures at high frequencies indicate precipitation. In the RFI correction, a relationship between AMSR-E measurements at 10.65 GHz and those at 18.7 or 6.925 GHz is first developed using the AMSR-E training data sets under RFI-free conditions. Contamination of AMSR-E measurements at 10.65 GHz is then predicted from the RFI-free measurements at 18.7 or 6.925 GHz using this relationship. It is shown that AMSR-E measurements with the RFI-correction algorithm have better agreement with simulations in a variety of surface conditions.     

Development of a benthic index to assess sediment quality in the Tampa Bay Estuary

The identification, remedial treatment, and monitoring of contaminated sediments are among the priorities for managers of the Tampa Bay Estuary. Tampa Bay, as an urbanized estuary, is subject to the input of watershed sources of chemical contaminants, including metals, pesticides, and organic chemicals. Although the use of biological indicators and their incorporation into multi-metric indices is not new, the refinement and applications of such techniques for determining environmental condition still require further development and exploration. We present a single Tampa Bay Benthic Index (TBBI) that was developed specifically for Tampa Bay. Stepwise discriminant analysis was applied to a comprehensive list of potential benthic metrics. Results from the stepwise procedure identified the metrics that best discriminated between "healthy" and "degraded" conditions, as defined by sediment contaminant effect levels and dissolved oxygen. Discriminant analysis was then applied to the resultant three variables to determine the linear combination for the index.     

Benthic meiofauna community composition at polluted and non-polluted sites in New Zealand intertidal environments

Meiofauna composition was investigated for six field sites, including polluted and non-polluted sites, within two regions (Auckland and Bay of Plenty) during winter (July-August 2004) in the North Island of New Zealand. Physico-chemical parameters were measured during the sampling period and meiofauna distribution and abundance were compared with these measured parameters. Analysis of meiofauna abundance indicated that foraminiferans, nematodes and ostracods were the taxa that contributed to the variability between field sites within the Auckland region. However, no clear taxa dominance was seen in the Bay of Plenty region. Comparison of meiofauna abundance and physico-chemical parameters was done using multivariate analysis (PRIMER). However, no clear relationships between the parameters were observed in any field site in either region. The Shannon-Weiner index of diversity did not show any clear differentiation between polluted and non-polluted field sites. Therefore, from the present study, the taxa or physico-chemical parameters used could not effectively characterise pollution at the investigated field sites.     

On the recent warming of the southeastern Bering Sea shelf

During the last decade, the southeastern Bering Sea shelf has undergone a warming of 3 °C that is closely associated with a marked decrease of sea ice over the area. This shift in the physical environment of the shelf can be attributed to a combination of mechanisms, including the presence over the eastern Bering Sea shelf of a relatively mild air mass during the winter, especially from 2000 to 2005; a shorter ice season caused by a later fall transition and/or an earlier spring transition; increased flow through Unimak Pass during winter, which introduces warm Gulf of Alaska water onto the southeastern shelf; and the feedback mechanism whereby warmer ocean temperatures during the summer delay the southward advection of sea ice during winter. While the relative importance of these four mechanisms is difficult to quantify, it is evident that for sea ice to form, cold arctic winds must cool the water column. Sea ice is then formed in the polynyas during periods of cold north winds, and this ice is advected southward over the eastern shelf. The other three mechanisms can modify ice formation and melt, and hence its extent. In combination, these four mechanisms have served to temporally and spatially limit ice during the 5-year period (2001–2005). Warming of the eastern Bering Sea shelf could have profound influences on the ecosystem of the Bering Sea—from modification of the timing of the spring phytoplankton bloom to the northward advance of subarctic species and the northward retreat of arctic species.     

全球变化下北方农牧交错地带区域适应能力评价模型研究

以可持续发展理论为指导,依据2006年全球变化人类行为计划（IHDP）第六届开放会议精神,参考前人有关生态环境评价框架和指标组合研究,建立了适合北方农牧交错地带特点的区域适应能力评价模型（PSR-RAD）,并对模型的构建思想、参数意义和评价指标的具体计算进行了探讨,以期为全球变化区域响应研究提供参考。针对北方农牧交错地带的实际情况,PSRRAD模型将第四纪地质地貌与现代生态环境研究整合,提出第四纪地质脆弱指数概念,在生态环境胁迫分析中,提出衡量农牧交错地带农牧业环境胁迫程度的地农牧业生产量指数的概念,使生态环境先天与后天胁迫因子、自然与人文因子得以客观体现,对生态环境脆弱性研究的时间和空间尺度均有所拓展。     

陕西省泾惠渠灌区土壤重金属地质累积指数评价

通过对陕西省泾惠渠灌区现场调查及土壤样品的采集,分析了灌区土壤中Hg、Cd、Cr、Pb、As、Cu、Zn等7种元素的含量,应用地质累积指数对灌区土壤进行了评价。结果表明：从区域分布看,阎良区、临潼区、高陵县所属采样点污染较严重;Hg污染最严重,地质累积指数为1.007～3.117,58%的采样点级别为3级,属中度污染到强污染,38%的采样点级别为2级,属中度污染;Zn污染程度次之,地质累积指数为-0.407～1.644,71%的采样点级别为1级,属无污染到中污染;Cd污染变异程度最大,地质累积指数为-2.705～3.312,70%的采样点级别0级,属无污染,但个别采样点达到了强污染;Cu的地质累积指数为-0.535～0.421,Pb为-1.119～-0.144,Cr为-1.005～-0.458,As为-0.562～0.077,除个别点外这些重金属污染级别皆为0级,属无污染。