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ANALYSIS OF WATER QUALITY TRENDS IN OSAKA BAY WITH A WEIGHTED REGRESSION APPROACH

机译：加权回归方法分析大阪湾水质趋势

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Understanding of physical, chemical and biological characteristics of the coastal areas is essential for the qualitative analysis of driving factors for the change in the ecosystem as a whole. Trends of historical water quality parameters and their relationship help in better understanding of how the parameters are changing with climate and terrestrial forcings. In this study, the trends of dissolved inorganic nitrogen (ammonium, nitrate/nitrite, sum of former two) in the Osaka bay is modelled with a weighted regression approach. The Weighted Regressions on Time, Discharge, and Season (WRTDS) is adapted for the bay area to improve the long term changes in dissolved inorganic nitrogen. Modelled trends showed that the nutrient concentration is declining except in the 90~(th) percentile. The predicted trends of the dissolved inorganic nitrogen is higher in the current years than the observed values. The trend of all forms of nitrogen in three groups of the Osaka bay, near to the coastline, in mid and the seaward side is analysed.
机译：理解沿海地区的物理，化学和生物学特征对于整个生态系统变化的驾驶因素的定性分析至关重要。历史水质参数的趋势及其关系有助于更好地理解参数如何随着气候和地面强制改变。在该研究中，大阪海湾溶解无机氮（铵，硝酸盐/亚硝酸盐，前两种）的趋势以加权回归方法进行建模。对时间，放电和季节（WRTD）的加权回归适用于湾区域，以改善溶解的无机氮的长期变化。模型趋势表明，除了90〜（TH）百分位中，营养浓度是下降的。溶解无机氮的预测趋势在目前多年的比观察者值较高。分析了三组大阪湾的所有形式氮的趋势，靠近海岸线，在海岸线和海侧。

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