湛江湾大气湿沉降中营养盐的研究

发布时间：2018-06-23 17:26

本文选题：大气湿沉降 + 营养盐　；参考：《中国环境科学》2017年06期

【摘要】：于2015年5月~2016年4月对湛江湾的雨水样品进行了收集,测定了雨水中NO_2~-、NO_3~-、PO_4~(3-)和SiO_3~(2-)的浓度,分析了它们的浓度及湿沉降通量的变化情况,并讨论了湿沉降营养盐对海水生态系统的影响.结果表明,受厄尔尼诺影响,调查期间的年降雨量明显高于多年平均降雨量.雨水中NO_2~-和SiO_3~(2-)的浓度在夏季和秋季较高,NO_3~-和PO_4~(3-)的浓度在春季和冬季较高,它们的湿沉降通量均在秋季最高(平均超过全年湿沉降通量的50%).降雨量、不同来源的气团、当地的人类活动情况等是影响湛江湾湿沉降营养盐浓度和通量的主要因素,秋季湿沉降通量最高与该季节有超强台风过境有关.雨水每年给湛江湾带来的NO_2~--N、NO_3~--N、PO_4~(3-)-P和SiO_3~(2-)-Si的量分别为2.04、292.4、8.13和45.8t.秋季雨水的沉降可能在短时间内对海水中的浮游植物生长有促进作用,其他季节的促进作用可能在短时间内不明显.
[Abstract]:Rain Water samples from Zhanjiang Bay were collected from May 2015 to April 2016. The concentrations of no _ 2C _ 2N _ 3P _ 4- and Sio _ S _ 3 ~ (2-) in Rain Water were determined, and the changes of their concentrations and wet deposition fluxes were analyzed. The effects of wet deposition nutrients on seawater ecosystem were also discussed. The results show that the annual rainfall during the investigation period is obviously higher than the average annual rainfall under the influence of El Nino. The concentrations of No2- and SiO- in Rain Water are higher in summer and autumn. The concentrations of NO3- and PO43- in Rain Water are higher in spring and winter, and their wet deposition fluxes are highest in autumn (average more than 50% of the annual wet deposition fluxes). Rainfall, air mass from different sources and local human activities are the main factors affecting nutrient concentration and flux of wet deposition in Zhanjiang Bay. The highest wet deposition flux in autumn is related to the transit of super typhoon in this season. Each year, Rain Water brings to Zhanjiang Bay the amount of no _ 2 ~ (2-) -P and SiO3- ~ (2-) -Si, which are 2.04292.4 ~ 8.13 and 45.8 trespectively, which are brought by Rain Water to Zhanjiang Bay, and the number of nos ~ (3-) -P and Sio ~ (2-) -Si brought to Zhanjiang Bay is 2.04292.48.13 and 45.8trespectively. The sedimentation of Rain Water in autumn may promote phytoplankton growth in seawater in a short period of time, but the promotion in other seasons may not be obvious in a short time.
【作者单位】：广东海洋大学海洋与气象学院广东省近海海洋变化与灾害预警重点实验室;
【基金】：国家自然科学基金资助项目(41476066,41476010) 广东省自然科学基金资助项目(2016A030312004) 广东省高等学校优秀青年教师培养计划项目(Yq2014004) 广东海洋大学创新强校项目(GDOU2014050201);广东海洋大学校选项目(1312437)
【分类号】：X51

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