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首页> 外文期刊>Journal of JSCE >THE INFLUENCE OF CLIMATE CHANGE ON THE WATER QUALITY OF STAGNANT, ICE-COVERED, EUTROPHIC WATER BODIES
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THE INFLUENCE OF CLIMATE CHANGE ON THE WATER QUALITY OF STAGNANT, ICE-COVERED, EUTROPHIC WATER BODIES

机译:气候变化对停滞,覆冰,富营养化水体水质的影响

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This study clarifies the water quality characteristics of stagnant, eutrophic water bodies that freeze in winter, based on our surveys and simulations, and examines how climate change may influence those characteristics. The survey found that climate-change-related increases in water temperature were suppressed by ice covering the water area, which also blocked oxygen supply. It was also clarified that the bottom sediment consumed oxygen and turned the water layers anaerobic beginning from the bottom layer, and that nutrient salts eluted from the bottom sediment. The eluted nutrient salts were stored in the water body until the ice melted. Climate change was surveyed as having caused decreases in nutrient salts concentration because of the shortened ice-covered period; however, Biochemical Oxygen Demand (BOD) showed a tendency to increase because of the proliferation of phytoplankton that was promoted by the climate-change-related increase in water temperature in spring.?To forecast the water quality by using these findings, particularly the influence of climate change, we constructed a water quality simulation model that incorporated the freezing-over of water bodies. The constructed model showed good temporal and spatial reproducibility and enabled water quality to be forecast throughout the year, including during the ice-covered period. The forecasts using the model agreed well with the survey results of the shortened ice period and climate-change-related increase in the BOD in spring.
机译:这项研究基于我们的调查和模拟,弄清了冬季冻结的停滞,富营养化水体的水质特征,并研究了气候变化如何影响这些特征。调查发现,覆盖水域的冰抑制了与气候变化相关的水温升高,这也阻碍了氧气的供应。还明确了底部沉积物消耗了氧气,并使水层从底部开始厌氧,营养盐从底部沉积物中洗脱出来。洗脱的营养盐储存在水体中,直到冰融化。据调查,由于冰期缩短,气候变化导致营养盐浓度降低;然而,由于春季气候变化引起的水温升高,浮游植物的增殖导致生化需氧量(BOD)呈增加趋势。?利用这些发现来预测水质,尤其是影响考虑到气候变化,我们构建了一个水质模拟模型,其中包含水体的冻结现象。所构建的模型显示出良好的时间和空间可重复性,并且可以全年预测水质,包括在冰雪期。使用该模型进行的预测与春季冰期缩短和BOD与气候变化相关的调查结果吻合良好。

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