遥感技术在湖泊水质监测中的应用

环境污染遥感监测技术具有监测范围广、速度快、成本低,且便于进行长期的动态监测等优点,是实现宏观、快速、连续、动态地监测环境污染的有效方法,已成为湖泊环境动态变化监测的重要技术手段.湖泊水质遥感监测是基于经验、统计分析或水质参数的光谱特征,选择遥感波段数据与地面实测水质参数数据进行数学分析,建立水质参数反演模型实现的.在运用遥感技术对湖泊进行水质监测的方法中有传统方法和神经网络模型.与传统方法相比,神经网络模型有较强的水质识别的容错性,水质状况识别的可信度.今后,神经网络模型、高光谱遥感技术以及RS与GIS、GPS的结合运用等将是遥感技术在此领域中的发展方向.     

湖泊富营养化模型的研究进展

湖泊的富营养化是全球普遍关注的环境问题之一.湖泊的富营养化模型是防治、修复和治理湖泊富营养化的重要决策工具.按研究的侧重点不同,将湖泊富营养化模型分为简单回归模型、水质模型、生态模型和生态-水动力水质模型,并分别回顾了四类模型的研究进展.最后指出湖泊富营养化模型的发展趋势,强调不确定理论、3S技术、耦合模型是今后湖泊富营养化模型研究的重点,应在此基础上建立通用的模拟、预测、评价和优化模型,为湖泊富营养化管理提供科学依据.     

城市地震防御能力评价和防御水准问题

本文研究了下列两个问题：（１）城市防御地震能力的评价标准和评价方法;（２）考虑了经济投入和人身安全,确定新建建筑设防水准的合理方法。     

江苏沿海地区的相对海平面上升及其灾害性影响研究

江苏海岸是全国潮滩最集中分布区，其面积约占全国的１／４，沿海地区地势低平，相对海平面上升幅度较大，是全国少数几个受海平面上升危害最严重的地区之一。初步估算，２１世纪前半期该地区不同岸段相对海平面上升速率将可能达到４．５～９．５ｍｍ／ａ，约为同期全球平均上升速率的２～３倍。其灾害性影响主要集中在：①造成堤外潮滩湿地资源损失，相对海平面上升５０ｃｍ，因直接淹没、侵蚀加剧和淤涨减缓造成的潮滩损失面积将超过５×１０４ｈｍ２，湿地损失面积达２．４×１０４ｈｍ２；②降低海堤防御标准、危及海堤自身和受保护地区安全，相对海平面上升５０ｃｍ，该地区现有海堤防御标准将由现状５０～１００年一遇降为２０～５０年一遇；遇５０年一遇风暴高潮位，全区受潮水漫溢的海堤长度将比现状增加１７３ｋｍ以上，占海堤总长的１／４；③阻碍低洼地的洪水排泄、加剧洪涝灾害损失，相对海平面上升４０ｃｍ，苏北里下河和苏南太湖湖东两片洼地的自然排水能力将可能分别下降约２５％和２０％，若两洼地分别重现１９９１年型和１９５４年型洪水，则因海平面上升增加的受淹面积将超过４×１０４ｈｍ２     

崇明东滩大型底栖动物食源的稳定同位素示踪

利用稳定同位素示踪技术,对崇明东滩盐沼湿地夏季不同生境大型底栖动物的食物来源和营养结构进行了初步研究。结果显示,表层沉积有机质稳定碳、氮同位素组成分别在-21.3‰~-24.2‰、4.6‰~5.6‰,不同生境下存在一定差异。植物体各组织的同位素值存在差异,在判别食物来源时需要注意,不能简单地以植物叶片值来代替整个植株。大型底栖动物的δ¹³C值为-14.7‰~-23.6‰,表现出食物来源的差异。总体上说,湿地优势植物的活植物体不是大型底栖动物的主要食物来源,沉积有机质是大部分底栖消费者的食物基础。底栖动物的氮同位素能较好地反映其食性和营养级,计算出崇明东滩大型底栖动物营养级在2.0~3.7,为一级消费者和二级消费者。     

冬季大气中苯系物污染特征及人体暴露水平分析

2007年冬季对乌鲁木齐市空气中苯系物(BTX)进行了网格布点监测,并用气相色谱仪进行样品分析. 结果表明:冬季大气中苯(B)、甲苯(T)和二甲苯(X)的质量浓度分别为5.62~20.57,3.40~122.82和2.20~129.15 μg/m3. 与欧洲标准相比,该地区ρ(苯)较高,且部分地区高于欧洲控制标准;而ρ(甲苯)和ρ(二甲苯)较低,达到欧洲目标限值水平. 苯系物质量浓度和空间分布特点较显著,ρ(甲苯)与ρ(二甲苯)的空间分布较为一致,但与ρ(苯)的分布特点不同. 最后通过对苯系物的人口加权大气污染暴露水平进行分析可知,乌鲁木齐市ρ(苯),ρ(甲苯)和ρ(二甲苯)的污染暴露水平在空间分布上较为均匀,但人口密度空间分布不均匀,故与ρ(苯)分布没有显著的相关性. 城区的ρ(苯),ρ(甲苯)和ρ(二甲苯)的人口加权平均值均略低于全市人口加权平均值,说明虽然城区人口密度较高,但其ρ(苯),ρ(甲苯)和ρ(二甲苯)的人口加权污染暴露水平相对较低.      

The role of local and landscape level measures of greenness in modelling boreal plant species richness

Measurements of primary productivity and its heterogeneity based on satellite images can provide useful estimates of species richness and distribution patterns. However, species richness at a given site may depend not only on local habitat quality and productivity but also on the characteristics of the surrounding landscape. In this study we investigated whether the predictions of species richness of plant families in northern boreal landscape in Finland can be improved by incorporating greenness information from the surrounding landscape, as derived from remotely sensed data (mean, maximum, standard deviation and range values of NDVI derived from Landsat ETM), into local greenness models. Using plant species richness data of 28 plant families from 440 grid cells of 25 ha in size, generalized additive models (GAMs) were fitted into three different sets of explanatory variables: (1) local greenness only, (2) landscape greenness only, and (3) combined local and landscape greenness. The derived richness–greenness relationships were mainly unimodal or positively increasing but varied between different plant families, and depended also on whether greenness was measured as mean or maximum greenness. Incorporation of landscape level greenness variables improved significantly both the explanatory power and cross-validation statistics of the models including only local greenness variables. Landscape greenness information derived from remote sensing data integrated with local information has thus the potentiality to improve predictive assessments of species richness over extensive and inaccessible areas, especially in high-latitude landscapes. Overall, the significant relationship between plants and surrounding landscape quality detected here suggests that landscape factors should be considered in preserving species richness of boreal environments, as well as in conservation planning for biodiversity in other environments.     

洞庭湖平原中小型湖群沉积物铬污染特征与评价

于2007年采集洞庭湖平原地区10个中小型湖泊沉积物样品33个(其中表层样品29个,柱状样品4个),对沉积物重金属元素Cr的空间分布特征及其污染等级进行研究. 各湖泊表层沉积物中w(Cr)普遍高于环境背景值,其w(Cr)平均值排序为岳阳南湖>大通湖>珊珀湖>东湖>黄盖湖>安乐湖>北民湖>柳叶湖>毛里湖>芭蕉湖. 各湖柱状沉积物中w(Cr)由底层到表层的垂向上呈现不同的波动趋势. 各湖沉积物的铬污染程度按湖泊类型划分,表现为城市湖泊>投肥养殖型湖泊>人放天养型湖泊. 地累积指数法评价结果显示,洞庭湖平原地区中小型湖群沉积物中铬污染较轻,4个湖泊的10个采样点为偏中度污染,9个湖泊18个采样点为轻度污染,1个采样点没有污染.      

Verification of the geographical origin of modeled air-mass trajectories by means of the isotope composition of rainwater during the SALLJEX experiment

The SALLJEX experiment was held during the summer 2002–2003. It consisted of three-dimensional observation of the atmosphere to study the structure of the low level jet along the eastern slopes of the Andes. Daily precipitation water samples were collected at two stations (Resistencia and Salta) in northern Argentina and isotope content was analyzed. The isotope data were used in conjunction with air parcel trajectories obtained from a 3-D kinematic model (3D-MTC) developed by the University of Sao Paulo, Brazil. Values of deuterium excess were related with air masses of continental origin, whilst low values were associated with air masses with longer oceanic trajectories. Furthermore, although data are scarce, results show that oxygen-18 and deuterium excess in rainwater are related with the occurrence of the low level jet.     

EcoTroph: Modelling marine ecosystem functioning and impact of fishing

EcoTroph (ET) is a model articulated around the idea that the functioning of aquatic ecosystems may be viewed as a biomass flow moving from lower to higher trophic levels, due to predation and ontogenetic processes. Thus, we show that the ecosystem biomass present at a given trophic level may be estimated from two simple equations, one describing biomass flow, the other their kinetics (which quantifies the velocity of biomass transfers towards top predators). The flow kinetic of prey partly depends on the abundance of their predators, and a top-down equation expressing this is included in the model. Based on these relationships, we simulated the impact on a virtual ecosystem of various exploitation patterns. Specifically, we show that the EcoTroph approach is able to mimic the effects of increased fishing effort on ecosystem biomass expected from theory. Particularly, the model exhibits complex patterns observed in field data, notably cascading effects and ‘fishing down the food web’. EcoTroph also provides diagnostic tools for examining the relationships between catch and fishing effort at the ecosystem scale and the effects of strong top-down controls and fast-flow kinetics on ecosystems resilience. Finally, a dynamic version of the model is derived from the steady-state version, thus allowing simulations of time series of ecosystem biomass and catches. Using this dynamic model, we explore the propagation of environmental variability in the food web, and illustrated how exploitation can induce a decrease of ecosystem stability. The potential for applying EcoTroph to specific ecosystems, based on field data, and similarities between EcoTroph and Ecopath with Ecosim (EwE) are finally discussed.