Automated Classification of an Environmental Sensitivity Index

Environmental Sensitivity Indices (ESI) composed of many field-data are essential for monitoring and control systems. At the beginning of the last decade an ESI of the German Wadden Sea was developed for use by the relevant authorities. This ESI was derived by experts semi-manually analysing the extensive field data-set. An algorithm is presented here which emulates human expert-decisions on the classification of sensitivity classes. This will permit the necessary regular updates of ESI-determination when new field data become available using automated classifications procedures. After tuning the algorithm parameters it generates decisions identical to those of human experts in about 97% of all locations tested. In addition, the algorithm presented also enables erroneous or extremely seldom field data to be identified.     

Copper, Copper Mining Effluents and Grazing as Potential Determinants of Algal Abundance and Diversity in Northern Chile

We experimentally tested threealternative hypotheses to explain the low algaldiversity and abundance in an intertidal zonereceiving the effluents of the copper mine El Salvadorin northern Chile. Our results demonstrated thatalgae were able to grow at the levels of dissolvedcopper detected in coastal waters of the area. Duringthe assays, growth and regeneration in several red,green and brown adult algae and juvenile Lessonia nigrescens were normal at copper levels of150 g L^-1 or, in some cases, higher. Wealso found that the coastal sea water mixed with theeffluent was not lethal to algae, although in somecases minor effects on growth were detected. Theseresults indicate that today's low algal diversity andabundance can not be explained by the current copperlevels in the area nor by the effect of the effluent.Exclusion of grazers, however, resulted in a fastcolonization by various algal species. This, togetherwith atypically high grazer density at the areas underthe influence of the effluent, strongly suggests thatherbivory, a factor not directly related to the miningoperation, is likely to be responsible for the lowalgal diversity and abundance in the studied locality.     

浙江乐清湾海岸带地区的经济发展

海湾处于陆地和海洋交汇部位,由于开发环境优越,在人类社会发展中占有非常突出的地位.浙江乐清湾海岸带地区在经济迅速发展的同时,也面临着诸如淡水资源缺乏、海洋经济发展层次和城镇化水平偏低等问题.针对这些问题,提出了相应的调控对策和建议.     

Historical pollution trends in coastal environments of India

Seventeen sediment cores were collected from different coastalecosystems of Tamil Nadu, India that include coastal lagoon (Pulicat), polluted rivers in Chennai (Adyar and Cooum), Coral reef (Gulf of Mannar) and a perennial river (Tamiraparani).Radiometric dating has been used to determine the modern sedimentation rates in these ecosystems. The Pulicat Lake and thepolluted rivers (Adyar and Cooum) yield an average sediment accumulation rate of 12.34 and 7.85 mm yr^-1, respectively. Inthe Gulf of Mannar coral reef, the sedimentation rate averages 17.37 mm yr^-1, while the rate in Tamiraparani River is 11.00 mm yr^-1. In the Tamiraparani River basin, the deposition rates were an order of magnitude higher when compared to the erosion rates, which may be due to bank erosion and the intense human activity. In general high rates of sedimentation observed in the coastal ecosystems not only reflect the capacity of the coastal regions as sinks for trace metals but also denoteincreased input of pollutants into the coastal environments in the recent past. The deposition rates of heavy metals – Fe, Mn,Zn, Cu, Cr and Ni in the depth profiles have been computed using sedimentation rates and their distribution is discussed. It can be seen that the mean deposition rates of all the measured elements in the Tamil Nadu coastal ecosystems are high compared with rates determined for the sediments of the deltaic regions ofIndia and the Bay of Bengal.     

海水中二甲基硫含量与海洋环境因子间关系的研究

以青岛尚岸海水为典型水域,设８个采样点于１９９６－０３、１９９６－０５和１９９６－１０进行了３次ＤＭＳ与海洋环境因子的监测,研究青岛尚岸海水海洋因子的特点及海水中ＤＭＳ浓度与浮游物种和海洋环境因子的关系,结果表明,海洋浮游植物生成ＤＭＳ的生物机理较为复杂,青岛沿岸海水中ＤＭＳ含量与叶绿素α２及海洋环境因子无明确的相关关系,浮游植物和海洋环境因子复杂的时空变化为研究海洋排放ＤＭＳ带来了很大的不确定性     

沿海防潮堤坝对风暴潮危害的减灾效益研究

风暴潮是海洋灾害中对人类造成损失最为严重的类型之一,海岸带地区防潮堤坝的修建对抵御风暴潮起到重要的作用。在综述国内外风暴潮研究的基础上,提出了沿海防潮堤坝对风暴潮的减灾效益的定量研究方法。以黄河三角洲9711号特大台风风暴潮为例,利用G IS技术模拟了无防潮堤坝情况下海岸带地区的受灾面积以及经济损失,并与实际灾害损失进行对比,得出防潮堤坝减少的风暴潮灾害经济损失为25.7亿元的结果,证实了兴建防潮工程的必要性。利用费用-效益法对防潮堤坝工程进行了成本与减灾效益评估,分析了防潮堤坝修建的经济合理性。     

Neural Network Based Automated Interpretation Algorithm for Combined Geophysical Soundings in Coastal Zones

The fresh water availability in coastal aquifers is an important problem faced by a major part of world’s population dwelling there. For in situ and dynamic characterization of seawater encroachment into coastal aquifers, electrical geophysical methods are better suited. However, the resolving power of such data in distinguishing saline sands from moist clays in the subsurface is very poor. To meet this aspect and also the problem of analyzing voluminous data sets, we propose a feed forward back-propagation neural network (BPNN) based approach for the analysis of combined vertical electrical and induced polarization soundings. Our method is tested on synthetic data computed from available geo-electric sections and prevailing subsurface geological information of coastal aquifers of East Coast of India.The synthetic data are comprised of 18 combined soundings spread over five profiles. 15 out of 18 are used for training the BPNN, while 3 are used for testing. The trained BPNN (one node each in each of the input and output layers and 18 hidden nodes) showed 84.85% accuracy in testing phase for distinguishing clays from saline sands.Our method is also tested on real data concerning a shaly aquifer in Bahia, Brazil yielding an overall accuracy of 84.9%, comparable to that of synthetic case; thereby validating our approach.     

中国海岸带灾害地质查询及风险评价系统的设计与实现

介绍了"中国海岸带灾害地质查询及风险评价系统"开发研制的GIS平台,VB为二次开发工具,利用OLE技术集成开发.系统实现了对中国海岸带灾害地质的可视化查询、空间分析和综合评价,并为实施海岸带灾害地质综合管理和决策提供了科学依据.     

中国东南沿海地区耕地资源保护与可持续利用

我国东南沿海地区具有优越的地理区位和气候条件,加上地区开发历史悠久,已成为中国经济最发达的地区之一。然而,近十多年来,由于经济以超常规速度发展,第二,三产业的发展速度,第二,三产业的发展速度大幅度加快,人多地少的矛盾日益突出,导致耕地面积不断萎缩,耕地质量不断下降。利用率和产出率显著滑坡,滥占耕地,占而不用及闲置浪费的现象相当普遍。以浙江省乐清市为例,近年来耕地以平均每年１．２％的速率在减少,目前     

Identification and spatial patterns of coastal water pollution sources based on GIS and chemometric approach

Comprehensive and joint applications of GIS and chemometric approach were applied in identification and spatial patterns of coastal water pollution sources with a large data set （5 years （2000-2004）, 17 parameters） obtained through coastal water monitoring of Southern Water Control Zone in Hong Kong. According to cluster analysis the pollution degree was significantly different between September-next May （the 1st period） and June-August （the 2nd period）. Based on these results, four potential pollution sources, such as organic/eutrophication pollution, natural pollution, mineral/anthropic pollution and fecal pollution were identified by factor analysis/principal component analysis. Then the factor scores of each monitoring site were analyzed using inverse distance weighting method, and the results indicated degree of the influence by various potential pollution sources differed among the monitoring sites. This study indicated that hybrid approach was useful and effective for identification of coastal water pollution source and spatial patterns.