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

机译:加权回归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, nitrateitrite, 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:了解沿海地区的物理,化学和生物学特性对于定性分析整个生态系统变化的驱动因素至关重要。历史水质参数的趋势及其相互关系有助于更好地了解这些参数如何随气候和地面强迫而变化。在这项研究中,使用加权回归方法对大阪湾中溶解的无机氮(铵,硝酸盐/亚硝酸盐,前两者之和)的趋势进行了建模。时间,排放量和季节的加权回归(WRTDS)适用于海湾地区,以改善溶解的无机氮的长期变化。模拟趋势表明,除了90%的百分位以外,养分浓度都在下降。近年来,溶解态无机氮的预测趋势高于观测值。分析了大阪湾靠近海岸线,中部和海边的三组中各种形式的氮的变化趋势。

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