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基于图像的深度学习降雨强度估计方法
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作者 尹航 郑飞飞 +2 位作者 段焕丰 Dragan Savic Zoran Kapelan 《Engineering》 SCIE EI CAS CSCD 2023年第2期162-174,M0007,共14页
城市洪水是世界性的重大问题,造成巨大的经济损失,严重威胁公共安全。减轻其影响的一种有希望的方法是开发实时洪水风险管理系统;然而,由于缺乏高时空降雨数据,构建这样一个系统通常具有挑战性。虽然一些方法(即地面降雨站或雷达和卫星... 城市洪水是世界性的重大问题,造成巨大的经济损失,严重威胁公共安全。减轻其影响的一种有希望的方法是开发实时洪水风险管理系统;然而,由于缺乏高时空降雨数据,构建这样一个系统通常具有挑战性。虽然一些方法(即地面降雨站或雷达和卫星技术)可用于测量和(或)预测降雨强度,但使用这些方法很难获得具有理想时空分辨率的准确降雨数据。本文提出了一种基于图像的深度学习模型来估计具有高时空分辨率的城市降雨强度。进一步来说,一种称为基于图像的降雨卷积神经网络(image-based rainfall CNN,irCNN)模型是使用从现有密集传感器(即智能手机或交通摄像头)收集的降雨图像及其相应的测量降雨强度值开发的。随后使用经过训练的irCNN模型根据传感器的降雨图像有效地估计降雨强度。分别利用合成降雨数据和真实降雨图像来探索irCNN在理论和实际模拟降雨强度方面的准确性。结果表明,irCNN模型提供的降雨量估计值的平均绝对百分比误差在13.5%~21.9%之间,超过了文献中其他最先进的建模技术的性能。更重要的是,所提出的irCNN的主要特点是它在有效获取高时空城市降雨数据方面成本较低。irCNN模型为估算城市降雨强度提供了一种有前景的替代方案,可以极大地促进城市实时洪水风险管理的发展。 展开更多
关键词 卷积神经网络 时空分辨率 降雨强度 深度学习 CNN 替代方案 公共安全 智能手机
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Lake regime shift from submerged macrophyte to phytoplankton affected phosphorus speciation in sediment and eutrophic state in Caohai Lake,Guizhou,China
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作者 Jixing DONG Yanmin GUO +5 位作者 Pinhua XIA Yuanbin TIAN feifei zheng Anyan LI Tao LIN Ruiwen LI 《Journal of Oceanology and Limnology》 SCIE CAS CSCD 2023年第6期2262-2275,共14页
To understand the effect of regime shift in Caohai Lake in Yunnan-Guizhou Plateau,SW China from submerged macrophyte dominance to phytoplankton dominance on the specification and distribution of phosphorus and on ecol... To understand the effect of regime shift in Caohai Lake in Yunnan-Guizhou Plateau,SW China from submerged macrophyte dominance to phytoplankton dominance on the specification and distribution of phosphorus and on ecological and environmental states,changes in phosphorus specification in the sediments and water were studied.The form,composition,and distribution of phosphorus in sediment were sampled in July 2020(before regime shift)and July 2021(after regime shift)were analyzed.Results reveal that phosphorus content in sediment was lower than that those of Erhai Lake and Dianchi Lake,Yunnan,SW China,on the same plateau,and was lower than those of Taihu Lake,Chaohu Lake,and Poyang Lake in the middle-lower Changjiang(Yangtze)River Plain.Organic phosphorus(Or-P)was the main form(up to 60%),followed by inactive phosphorus(Ina-P),and the active phosphorus(Act-P),the least,which is opposite to those of Taihu Lake and Poyang Lake in the middle-lower Changjiang River Plain in the eastern China.Or-P content was high,indicating a high potential risk of phosphorous release.After the regime shift,the total phosphorus in sediment decreased from 0.87±0.13 to 0.70±0.13 g/kg.The proportion of Or-P and Act-P decreased from 68.23% to 65.32% and from 5.35% to 4.69%,respectively.In contrast,the proportion of Ina-P increased from 26.42% to 29.99%.The Moran’s I index revealed that the heterogeneity of the spatial distributions of the total phosphorus(S-TP)and Act-P in the sediments before regime shift was significant(P<0.1).However,the heterogeneity of the spatial distributions of S-TP and the various forms of phosphorus after regime shift was not significant(P>0.05).The regime shift aggravated the eutrophication of the lake,the trophic level index(TLI)increased from 48.42 to 54.49(P<0.01),and the previously mesotrophic lake became a mildly eutrophic lake.The results of this study revealed the impact of regime shift in the lake from submerged macrophyte dominance to phytoplankton dominance on the composition and spatial distribution of phosphorus in sediments and provided a basis for the restoration of eutrophicated and aquatic ecosystem degraded lakes. 展开更多
关键词 Caohai Lake SEDIMENT phosphorus specification regime shift
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