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2002—2018年滇池外海蓝藻水华暴发时空变化特征及其驱动因子 被引量:28
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作者 李加龙 罗纯良 +10 位作者 吕恒 许佳峰 罗潋葱 潘珉 何锋 满小明 张如枫 龚发露 孙婷 陈岚 武桂竹 《生态学报》 CAS CSCD 北大核心 2023年第2期878-891,共14页
为弄清滇池外海蓝藻水华暴发时空变化规律及其影响因素,将滇池外海分为北、中、南3个区域,基于2002—2018年期间中分辨率成像光谱仪(MODIS)反演的水华面积,分析了上述3个区域蓝藻水华的时空变化特征。基于2007—2018年水文、气象和出入... 为弄清滇池外海蓝藻水华暴发时空变化规律及其影响因素,将滇池外海分为北、中、南3个区域,基于2002—2018年期间中分辨率成像光谱仪(MODIS)反演的水华面积,分析了上述3个区域蓝藻水华的时空变化特征。基于2007—2018年水文、气象和出入流数据,构建了外海三维水动力生态模型(AEM3D),并计算了各区域的水力滞留时间。通过冗余分析(RDA)、随机森林(RF)和斯皮尔曼相关分析方法,分析了影响以上区域蓝藻水华暴发的主要驱动因子。结果表明:2002—2018年期间,整个滇池外海区域年平均水华面积比(水华面积占该区域总面积比例)呈缓慢下降趋势,空间上由北向南依次递减,整个外海水华暴发面积最大主要发生在秋季。在外海北部区域,其东部水华较西部更为严重,而在中部和南部区域,呈现西部水华较东部更为严重的空间分布模式。通过对各影响因子的统计分析发现,风速、水温和日照时长是上述各区域中蓝藻水华暴发的主要决定性因素。水华暴发期间以西南风为主导风向,且上述区域的水华面积比随风速增加呈下降趋势。在外海各区域,水力滞留时间与水华暴发面积均呈显著正相关,空间上水力滞留时间由北向南逐渐增大,风速和风向是影响蓝藻水华空间分布规律和严重程度的主要因素。 展开更多
关键词 滇池 蓝藻水华 卫星遥感 aem3d模型 冗余分析(RDA) 随机森林(RF)
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The Influence and Implications of Climate Change on Water Quality in a Large Water Reservoir in the Southwest, USA
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作者 Deena Hannoun Todd Tietjen Keely Brooks 《American Journal of Climate Change》 2022年第3期197-229,共33页
Maintaining water quality in large reservoirs is crucial to ensure continued delivery of high-quality water to consumers for municipal and agricultural needs. Lake Mead, a large reservoir in the desert southwest, USA,... Maintaining water quality in large reservoirs is crucial to ensure continued delivery of high-quality water to consumers for municipal and agricultural needs. Lake Mead, a large reservoir in the desert southwest, USA, is projected to be affected by both loss of volume and rising air temperatures through the end of the 21<sup>st</sup> century. In this study, reductions in lake volume, coupled with downscaled climate projections for rising air temperatures through the end of the 21<sup>st</sup> century, are incorporated into the 3D hydrodynamic and water quality model for Lake Mead. If current management practices continue in the future, simulations indicate water temperatures will increase in all scenarios and could increase by as much 2&#8451;under the most pessimistic scenarios, but nutrient loads would not increase to concerning levels. Releases from the dam to downstream users are projected to be much warmer, and warmer water temperatures and significant dissolved oxygen in the water column are expected to cause challenges for ecosystem and recreation in the future. Surprisingly, during the Winter and Autumn, retention of heat in Lake Mead is more pronounced at higher surface elevations than the lower elevations as expected. The effects of these projections on the lake water quality and consequently, lake management decisions, are discussed. 展开更多
关键词 Climate Change Lake Management Water Quality modeling Lake Mead aem3d
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