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Using generalized additive modelling to understand the drivers of long-term nutrient dynamics in the Broadwater estuary (a sub-tropical estuary), Gold Coast, Australia

机译:使用广义加性建模来了解澳大利亚黄金海岸布罗德沃特河口(亚热带河口)长期营养动力学的驱动因素

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Previous Article JCR Online Pre-prints Next Article Add to Favorites Share Article Export Citations | Track Citations Permissions PDF Article Citation: Russell Richards, Milani Chaloupka, Darrell Strauss, and Rodger Tomlinson (2013) Using Generalized Additive Modelling to Understand the Drivers of Long-Term Nutrient Dynamics in the Broadwater Estuary (a Subtropical Estuary), Gold Coast, Australia. Journal of Coastal Research In-Press. doi: http://dx.doi.org/10.2112/JCOASTRES-D-12-00190.1 ONLINE AHEAD OF PRINT Using Generalized Additive Modelling to Understand the Drivers of Long-Term Nutrient Dynamics in the Broadwater Estuary (a Subtropical Estuary), Gold Coast, Australia Russell Richards 欠Milani Chaloupka 笠Darrell Strauss 欠and Rodger Tomlinson 把懲iffith Centre for Coastal Management, Griffith University, Gold Coast, Queensland 4222, Australia, r.richards@griffith.edu.au 煣ological Modelling Services Pty Ltd, P.O. Box 6150, University of Queensland, St Lucia, Queensland 4067, Australia ABSTRACT Richards, R.; Chaloupka, M.; Strauss, D., and Tomlinson, R., 0000. Using generalized additive modelling to understand the drivers of long-term nutrient dynamics in the Broadwater Estuary (a subtropical estuary), Gold Coast, Australia. Conclusions drawn from comparing short-term monitoring data with a baseline data set and water-quality guidelines need to be viewed in the context of numerous physical and biogeochemical mechanisms controlling nutrient concentrations within a system over long timescales. This paper highlights the use of generalized additive models (GAMs) to explore the functional relationships between four commonly used water-quality indicators (total nitrogen, total phosphorous, ammonia, nitrate) and a range of drivers including catchment inflow, wind speed, and tidal current. The results of this GAM assessment highlighted that nutrient concentrations within a subtropical estuary (Broadwater, Australia) is most dependent on catchment inflow. In particular, this assessment indicated the apparent importance of the Nerang River as a determinant of the nutrient concentrations observed in the Broadwater compared with the role of other tributaries, even though these other rivers provide the bulk of the freshwater flow into the system. This assessment also highlighted that the potential effects of monitoring location, tides, wind, and monitoring year need to be accounted for when framing the results of short-term data.
机译:上一篇文章JCR在线预印本下一篇文章添加到收藏夹分享文章导出引文|跟踪引文许可PDF文章引文:Russell Richards,Milani Chaloupka,Darrell Strauss和Rodger Tomlinson(2013)使用广义加性建模来理解澳大利亚黄金海岸布罗德沃特河口(亚热带河口)中长期营养动力学的驱动因素。沿海研究杂志社。 doi:http://dx.doi.org/10.2112/JCOASTRES-D-12-00190.1印刷前在线使用广义加性建模来了解Broadwater河口(亚热带河口)长期营养动力学的驱动因素,黄金澳大利亚海岸,罗素·理查兹(Russell Richards)欠米拉尼·查洛普卡(Miani Chaloupka)笠达雷尔·施特劳斯(Darrell Strauss)欠和罗杰·汤姆林森(Rodger Tomlinson)把纠正费思菲特海岸管理中心,格里菲斯大学,澳大利亚昆士兰州4222,r.richards @ griffith.edu.au煣ological Modeling Services Pty Ltd, PO盒子6150,昆士兰大学,圣卢西亚,澳大利亚昆士兰4067摘要理查兹,河; M.Chaloupka; Strauss,D.和Tomlinson,R.,0000。使用广义加性模型来了解澳大利亚黄金海岸Broadwater河口(亚热带河口)中长期营养动力学的驱动因素。需要将长期监测数据与基线数据集和水质指南进行比较得出的结论,需要在长期范围内控制系统中营养物浓度的众多物理和生物地球化学机制的背景下进行研究。本文着重介绍了使用广义加性模型(GAM)来探索四种常用水质指标(总氮,总磷,氨,硝酸盐)与一系列驱动因素(包括集水量,风速和潮汐)之间的功能关系。当前。 GAM评估的结果强调,亚热带河口(澳大利亚,布罗德沃特)内的养分浓度最依赖集水区的流入量。特别是,该评估表明,与其他支流相比,尼兰河显然是决定在Broadwater中观测到的营养物浓度的重要因素,尽管这些其他河流提供了流入系统的大部分淡水。该评估还强调指出,在构建短期数据结果时,必须考虑到监测位置,潮汐,风向和监测年份的潜在影响。

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