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Volume 34 Issue 2
Mar.  2015
Article Contents

Citation:

Stability prediction of inorganic nitrogen in water environment of Bohai Sea

  • Received Date: 2014-01-14
    Accepted Date: 2014-03-25
  • The water pollution of Bohai Sea is more and more serious recently, and inorganic nitrogen is one of the main pollutants. Accurate stability prediction of inorganic nitrogen could provide an important base for optimizing the monitoring station and managing the marine pollution of Bohai Sea. In this paper, the probability of each type of inorganic nitrogen were predicted by IDW interpolation method and regression analysis method on the base of the trend monitoring data of the inorganic nitrogen from the year 2002 to 2013. The probability of the stability of inorganic nitrogen from the year 2014 to 2016 was also predicted, furthermore, the stability of inorganic nitrogen in Bohai Sea was divided into high, medium, and low zones, which could provide a scientific base for monitoring station layout and controlling the marine pollution of Bohai Sea.
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  • [1] 国家海洋局.1998-2012年中国海洋环境质量公报[R].北京:海洋出版社, 1999-2013.[13]郑建华, 王世梅, 王卓娟.长江水质的综合评价及其预测[J].贵州水力发电, 2006, 20(6):7-12.[15]向速林, 杨柳春, 冉 全.回归分析法在地下水水质动态预测中的应用[J].长江大学学报:自然科学版, 2006, 3(1):40-42.[16]余光辉, 李玲玲, 李振国, 等.太原市主要大气污染物分析与预测[J].环境科学与管理, 2010, 35(4):171-174.[17]向速林.地下水水质评价的多元线性回归分析模型研究[J].新疆环境保护, 2005, 27(4):21-23.[18]索南仁欠.多元回归分析在水污染评价中的应用[J].青海师范大学学报:自然科学版, 2000(4):20-24.[19]李传哲, 于福亮, 刘 佳, 等.基于多元统计分析的水质综合评价[J].水资源与水工程学报, 2006, 17(4):36-40.[20]赵明桥, 李攻科, 张展霞.应用多元回归法研究赤潮特征有机物与赤潮关系[J].中山大学学报:自然科学版, 2003, 42(1):35-38.[21]柴 超, 俞志明, 宋秀贤, 等.长江口水域富营养化特性的探索性数据分析[J].环境科学, 2007, 28(1):53-58.[22]赖廷和, 邱绍芳.北海近岸水域浮游植物群落结构及数量周年变化特征[J].海洋通报, 2005, 24(5):27-32.[23]陈宇炜, 秦伯强, 高锡云.太湖梅梁湾藻类及相关环境因子逐步回归统计和蓝藻水华的初步预测[J].湖泊科学, 2001, 13(1):63-71.[24]袁 骐, 王云龙, 沈新强.N和P对东海中北部浮游植物的影响研究[J].海洋环境科学, 2005, 24(4):3-8.
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Stability prediction of inorganic nitrogen in water environment of Bohai Sea

  • 1. National Marine Environmental Monitoring Center, Dalian 116023, China

Abstract: The water pollution of Bohai Sea is more and more serious recently, and inorganic nitrogen is one of the main pollutants. Accurate stability prediction of inorganic nitrogen could provide an important base for optimizing the monitoring station and managing the marine pollution of Bohai Sea. In this paper, the probability of each type of inorganic nitrogen were predicted by IDW interpolation method and regression analysis method on the base of the trend monitoring data of the inorganic nitrogen from the year 2002 to 2013. The probability of the stability of inorganic nitrogen from the year 2014 to 2016 was also predicted, furthermore, the stability of inorganic nitrogen in Bohai Sea was divided into high, medium, and low zones, which could provide a scientific base for monitoring station layout and controlling the marine pollution of Bohai Sea.

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