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本文于2011年8月连续采集了青岛近岸大气气溶胶TSP(总悬浮颗粒物)样品,运用离子色谱法(IC)测定了可溶性无机氮磷组分的浓度,并估算了其干沉降通量,分析了天气过程对无机氮磷浓度的影响,讨论了大气干沉降对黄海初级生产力的影响。结果表明,夏季青岛沿海地区气溶胶颗粒物、NH+4-N、NO-3-N的平均浓度分别为139.96、9.70、3.08μg/m3,NO-2-N和PO3-4浓度很低,分别在0.15和1.00μg/m3以下;NH+4-N含量约为NO-3-N的3倍,二者之和占总无机氮的99%以上。天气过程显著影响颗粒物及无机氮的浓度和组成,雾天时,颗粒物、NH+4-N、NO-3-N的浓度分别升高到晴天时的1.48、1.98和2.21倍,大风天气下分别为晴天时的1.85、2.84和4.50倍;降雨对气溶胶存在明显的清除作用,对颗粒物和无机氮的清除率分别为7.70%~32.97%和54.16%~64.49%。气象要素和气团来源、路径对气溶胶浓度和组成的影响也十分显著。颗粒态无机氮磷的沉降通量分别为0.55和96.14μg/(m2·d),输入黄海后可产生94.51~138.30mg/(m2·month)的新生产力,对总初级生产力的贡献不大,但特殊天气下大气干沉降引起的新生产力可以在短时间内迅速增加。颗粒态无机氮磷的沉降通量之比为13.7,沉降后不会使黄海磷限制的营养盐结构产生明显变化。 相似文献
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Presently, research is lacking regarding the diagnosis and evaluation of habitat degradation in enclosed bay systems. We established a diagnostic model for enclosed bay habitat degradation （EBHD model） using a multi-approach integrated diagnostic method in consideration of driving force-pressure- state-influence-response. The model optimizes the indicator standardization with annual average change rate of habitat degradation as the basic element, to reflect accurately the impact of the change and speed of degradation on the diagnostic results, to quantify reasonably the contribution of individual diagnostic indicator to habitat degradation, and to solve the issue regarding the influence of subjective factors on the evaluation results during indicator scoring. We then applied the EBHD model for the Sansha Bay in Fujian Province, China, evaluated comprehensively the situation of habitat degradation in the bay, and screened out the major controlling factors in the study area. Results show that the diagnostic results are consistent in overall with the real situation of the study area. Therefore, the EBHD model is advantageous in terms of objectivity and accuracy, making a breakthrough in diagnosis and evaluation for habitat degradation in enclosed bay systems. 相似文献
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The process of habitat degradation varies in habitat type and driving force which shows certain spatial and temporal heterogeneity on regional scales. In the present study, a new diagnostic model for enclosed bay habitat degradation was established, with which the spatial and temporal variation patterns of habitat degradation during 1991–2012 in Sansha Bay, Fujian, China was investigated. The results show that anthropogenic disturbance is the major controlling factor for the habitat degradation in large temporal heterogeneity in the bay. On the other hand, the habitat degradation experienced signifi cant spatial variations among six sub-bays. Under the joint action of temporal and spatial heterogeneity, the degradation trend in growing scale shows a more signifi cant correlation with the distribution of local leading industries along shorelines. Therefore, we quantifi ed the main characters of habitat degradation in Sansha Bay, and have understood the relationship between the status of habitats spatio-temporal variation value and the main controlling factor leading to the changes. However, a defi ciency of this research is the lack of or inaccessible to the detailed data, which shall be better solved in the future study for accessing more data from more sources. 相似文献
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Unbalanced inputs and outputs of material are the root cause of habitat degradation in Sansha Bay,Fujian Province,China. However,the cumulative pollution varies in different geographic locations and natural conditions in the enclosed bay. In this study,hydrodynamic conditions,sediment characteristics,and aquaculture methods were recognized as the underlying causes of spatial heterogeneity in the distribution of nitrogen and phosphorous pollutants,the two major controlling factors of habitat degradation in the bay area. In order to achieve the goal of balancing nutrient inputs and outputs in Sansha Bay,we developed a feasible and practical zone restoration strategy for reasonable adjustment and arrangement of aquaculture species and production scale in accordance with varying hydrodynamic conditions and sediment characteristics in six sub-bay areas(sub-systems). The proposed zone restoration strategy lays a solid foundation for habitat restoration and management in Sansha Bay. 相似文献
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