Identification of factors influencing hydrologic model performance using a top-down approach in a large number of U.S. catchments     

Carolina Massmann 《水文研究》2020,34(1):4-20

Investigating the performance that can be achieved with different hydrological models across catchments with varying characteristics is a requirement for identifying an adequate model for any catchment, gauged or ungauged, just based on information about its climate and catchment properties. As parameter uncertainty increases with the number of model parameters, it is important not only to identify a model achieving good results but also to aim at the simplest model still able to provide acceptable results. The main objective of this study is to identify the climate and catchment properties determining the minimal required complexity of a hydrological model. As previous studies indicate that the required model complexity varies with the temporal scale, the study considers the performance at the daily, monthly, and annual timescales. In agreement with previous studies, the results show that catchments located in arid areas tend to be more difficult to model. They therefore require more complex models for achieving an acceptable performance. For determining which other factors influence model performance, an analysis was carried out for four catchment groups (snowy, arid, and eastern and western catchments). The results show that the baseflow and aridity indices are the most consistent predictors of model performance across catchment groups and timescales. Both properties are negatively correlated with model performance. Other relevant predictors are the fraction of snow in the annual precipitation (negative correlation with model performance), soil depth (negative correlation with model performance), and some other soil properties. It was observed that the sign of the correlation between the catchment characteristics and model performance varies between clusters in some cases, stressing the difficulties encountered in large sample analyses. Regarding the impact of the timescale, the study confirmed previous results indicating that more complex models are needed for shorter timescales.  相似文献   

高层高强钢组合偏心支撑框架抗震性能简化分析          下载免费PDF全文

洪敏  秦瑞  王凤  高永国  高中南  李少华 《地震工程学报》2020,42(2):332-336

高强钢组合偏心支撑钢框架是一种新型的抗震结构体系,为分析其抗震性能,利用ABAQUS有限元软件建立了简化分析模型。在验证该简化模型合理有效的基础上,建立了某十层算例的整体模型,施加竖向荷载的同时施加水平倒三角形循环荷载作用,进而分析了该算例的滞回性能。研究表明:本文提出的简化分析模型不仅可以较准确的模拟该结构体系的延性和抗侧刚度,还可以有效预测结构的变形分布和非线性性能。  相似文献   

柱顶层间隔震体系增量动力响应研究          下载免费PDF全文

袁梦醒  陈望  刘彦辉  谭平  金建敏 《地震工程学报》2020,42(4):872-880

针对悬臂柱顶有拉梁和无拉梁层间隔震体系的抗震性能问题,运用增量动力分析(IDA)方法进行弹塑性分析,模拟结构从弹性到弹塑性直至最后倒塌的全过程。通过调幅地震动得到相应的层间位移角及峰值加速度,分别绘制单条与多条IDA曲线分析拉梁对隔震结构动力响应的影响,研究两种结构的抗震性能。结果表明:在相同性能点,有拉梁和无拉梁对纤维铰弯矩值和曲率值基本无影响,而在不同性能点,纤维铰状态明显不同;两种体系从正常使用阶段到防止倒塌阶段所需的加速度峰值的差距慢慢增大;在极罕遇地震下,柱顶有拉梁层间隔震体系的下部结构抗震性能要高于柱顶无拉梁层间隔震体系。  相似文献   

The potential of Pléiades images with high angle of incidence for reconstructing the coastal cliff face in Normandy (France)     

《International Journal of Applied Earth Observation and Geoinformation》2020

To monitor chalk cliff face along the Normandy coast (NW France) which is prone to erosion, we tested the potential of cliff face 3D reconstruction using pairs of images with high angle of incidence at different dates from the agile Pléiades satellites. The verticality aspect of the cliff face brings difficulties in the 3D reconstruction process. Furthermore, the studied area is challenging mainly because the cliff face is north-oriented (shadow). Pléiades images were acquired over several days (multi-date stereoscopic method) with requested incidence angles until 40°. 3D reconstructions of the cliff face were compared using two software: ASP® and ERDAS IMAGINE®. Our results are twofold. Firstly, despite ASP® provides denser point clouds than ERDAS IMAGINE® (an average of 1.60 points/m² from 40° incidence angle stereoscopic pairs on the whole cliff face of Varengeville-sur-Mer against 0.77 points/m² respectively), ERDAS IMAGINE® provides more reliable point clouds than ASP® (precision assessment on the Varengeville-sur-Mer cliff face of 0.31 m ± 2.53 and 0.39 m ± 4.24 respectively), with a better spatial distribution over the cliff face and a better representation of the cliff face shape. Secondly, the quality of 3D reconstructions depends mostly on the amount of noise from raw images and on the shadow intensity on the cliff face (radiometric quality of images).  相似文献   

eLoran系统新型信号波形设计及其性能评估          下载免费PDF全文

李婉清  刘中伟  李实锋  叶清琳 《全球定位系统》2020,45(2):13-20

增强型罗兰导航系统(eLoran)作为全球卫星导航系统(GNSS)的备份系统,是国家定位导航授时(PNT)安全的重要基础设施.针对目前标准eLoran信号存在易受交叉干扰、天波干扰,通信数据传输速率低等的问题,本文基于标准罗兰信号体制提出了两种波形改进方法(衰减函数法与对称波形法)并对新型波形进行性能评估.实验结果表明,两种方法能够有效缩短波形持续时间,加速后沿波形下降,减小发射机功耗.对称波形法能够大幅减小波形持续时间,但缩短波形持续时间也将改变原信号波形的频谱特性,利用衰减函数法可以最大程度保证信号的频谱性能.综合分析可知,新型波形能够有效利用时域资源,空余的时间可用于增加传输信号,进而提高数据调制技术的性能.  相似文献   

A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing     

Peng Yue  Fan Gao  Boyi Shangguan  Zheren Yan 《International journal of geographical information science》2020,34(11):2243-2274

ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.  相似文献   

双层打包带加固窗间墙抗震性能试验研究          下载免费PDF全文

王赟 《世界地震工程》2020,(1):183-188

地震时砌体结构窗间墙易发生破坏，为了提高其抗震性能，对高宽比为1的2组共4片墙体，其中:2片为双层打包带加固墙体，2片为原墙，进行了拟静力试验，研究墙体的破坏形态、水平承载力、滞回曲线和耗能等抗震性能。试验发现原墙发生剪切破坏，加固后墙体发生摇摆破坏，加固改变了墙体破坏模式，加固后墙体滞回曲线饱满但有捏笼，破坏荷载、延性和耗能能力都有提高，破坏时未发生剥离，表明双层打包带加固法有效地提高了窗间墙体抗震性能，对承受较大竖向应力墙体效果更好，建议加固时要加强加固层与窗下和窗上墙体的连接。  相似文献   

典型矿业城市建筑物抗震安全性能调查与分析——以铜陵市为例     

谢瑞杰  管斌  樊冬  徐强  洪阳  汪树理 《华北地震科学》2020,38(1):78-84

针对矿业城市长期矿产资源的开发,产生的一系列矿山地质环境问题,严重影响城市建筑物抗震性能的情况。以铜陵市为例,通过对铜陵市建筑物抗震性能开展全面普查,掌握建筑物抗震基本情况,研究了矿业城市滑坡、崩塌、泥石流、采空塌陷、岩溶塌陷等典型地质灾害对建筑物抗震性能的具体影响,提出加大棚户区改造、开展土地利用防灾适宜性评价、建立地质灾害监控体系等对策建议,对提高矿业城市抗震设防工作有实际意义。  相似文献   

CMD180T型钻机在尚义地热井施工中的应用          下载免费PDF全文

王雷浩  李光宏  石逊  殷邈 《探矿工程》2020,47(1):58-61

经物探分析在河北省张家口尚义县大青沟镇南海子村东南1.0 km存在深部断裂构造，为了寻找开发坝上地区地热资源，决定在该位置施工一口2000 m深地热井，即穿过该断裂构造寻找导水通道，完成地热井施工任务。施工中采用了CMD180T型钻机，该钻机采用了先进的全液压传动系统，自动化程度高，性能优异，可大大降低操作人员的劳动强度且易于搬迁、易于操作。其优势在这次地热井工程施工过程中得到了充分的体现。  相似文献   

针铁矿对湖泊草、藻来源可溶有机质的非均质吸附     

章奇  居琪  李健欣  曹驰程  江和龙  张晖 《湖泊科学》2020,32(4):1041-1049

为探究富营养化湖泊中自生源可溶有机质(DOM)在泥水界面的吸附行为,以马来眼子菜(Potamogeton malaianus)和铜绿微囊藻(Microcystis aeruginosa)释放的DOM为代表,考察针铁矿对草、藻源DOM中不同组分的吸附特征.三维荧光平行因子分析表明类富里酸组分C1和类胡敏酸组分C4的含量很低,而类蛋白物质(类酪氨酸组分C2和类色氨酸组分C3)分别占草、藻源DOM荧光组成的70%和93%. 2种DOM均可被针铁矿吸附,吸附过程符合伪一级动力学.通过等温线拟合发现针铁矿吸附藻源DOM的非线性更强,饱和吸附量(23.77 mg/g)高于草源DOM(19.10 mg/g).特别地,类蛋白组分呈现非线性吸附,而类腐殖物质的吸附近似线性,且针铁矿对于DOM各荧光组分的吸附量顺序为:C3C2 C4 C1,此非均质吸附特征与DOM组分的初始含量、分子大小、芳香性及有效吸附位点有关.红外光谱证实氨基、羧基和羟基是吸附过程中的重要官能团.因此,草、藻源DOM显著改变了针铁矿表面的有机物质组成,影响湖泊沉积物的生物地球化学行为.  相似文献