...
首页> 外文期刊>Water Quality, Exposure and Health >Comparative Investigation ofWater Quality Parameters of Aerial & Rangat Bay, Andaman Islands Using In-Situ Measurements and Spatial Modelling Techniques
【24h】

Comparative Investigation ofWater Quality Parameters of Aerial & Rangat Bay, Andaman Islands Using In-Situ Measurements and Spatial Modelling Techniques

机译:安达曼群岛空中和兰加特湾水质参数的原位测量和空间建模技术比较研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Aerial Bay and Rangat Bay witness extensive and diverse activities such as tourism, shipping and fisheries. These activities along with domestic discharge may significantly affect the seawater quality in the bays. Therefore seawater samples were analyzed to comprehend the physicochemical and biological variables and its sources that affected the seawater quality at both the bays. The landuse/ land cover data was studied to understand the source of pollution and to classify the areas into various categories relating to prevailing environment adjoining these bays. Difference between sites and the variables responsible for variation were analyzed using one-way analysis of variance (ANOVA). Pearson correlation was used to find the relationship between variables and degree of dependency towards the other. Agglomerative hierarchical cluster analysis grouped the sampled sites, which helped to identify the similarity/dissimilarity within and between sites at both high and low tides. Moreover, inverse distance weighted interpolation technique was used to develop comparative potential mapping using Arc GIS software (ver. 9.3.1), generated a model for spatial changes at both sites. The results indicate the increase of pollution level at Aerial Bay due to anthropogenic activities, whereas Rangat Bay showed less variance due to frequent open sea water exchange. The combination of both statistical and GIS modeling techniques have proven to be excellent methods for spatial analysis and integration of these data to derive useful outputs and visual modeling.
机译:空中湾和兰加特湾见证了广泛而多样的活动,例如旅游,航运和渔业。这些活动以及生活污水可能会严重影响海湾的海水质量。因此,对海水样本进行了分析,以了解影响两个海湾海水质量的理化和生物学变量及其来源。对土地利用/土地覆盖数据进行了研究,以了解污染源并将这些区域分为与这些海湾相邻的主要环境有关的各种类别。使用单向方差分析(ANOVA)分析位点之间的差异以及引起变异的变量。皮尔逊相关性用于发现变量与对另一个的依赖程度之间的关系。聚集层次聚类分析对采样地点进行了分组,这有助于识别涨潮和退潮时地点之间以及地点之间的相似性/不相似性。此外,逆距离加权插值技术被用于使用Arc GIS软件(版本9.3.1)开发比较电势图,生成了两个站点空间变化的模型。结果表明,人为活动导致了空中湾的污染水平增加,而兰加特湾由于频繁的公开海水交换而变化较小。统计和GIS建模技术的结合已被证明是进行空间分析和整合这些数据以获得有用的输出和可视化建模的绝佳方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号