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Quan Li, Hang Zeng, Pei Liu, Zhengzui Li, Weihou Yu and Hui Zhou
Recently, the homogenous flood generating mechanism assumption has become questionable due to changes in the underlying surface. In addition, flood is a multifaced natural phenomenon and should be characterized by both peak discharge and flood volume, es...
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Zhenzhen Li, Zhongyue Yan and Li Tang
Comprehending the changing patterns of flood magnitudes globally, particularly in the context of nonstationary conditions, is crucial for effective flood risk management. This study introduces a unique approach that employs simulated discharge data to un...
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Ning Zhao, Zhilong Xu, Liuliu Peng, Xiaolong Li, Xiaowei Chen and Xuewei Wang
An enhanced interpolation approach is developed for simulating nonseparable nonstationary ground motions on the basis of the spectral representation method, which mainly contains two steps of interpolations and an optimization. Firstly, the interpolation...
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Alejandro Ivan Aguirre-Salado, Humberto Vaquera-Huerta, Carlos Arturo Aguirre-Salado, José del Carmen Jiménez-Hernández, Franco Barragán and María Guzmán-Martínez
We introduced a novel spatial model based on the distribution of generalized extreme values (GEV) to analyze the maximum intensity levels of earthquakes with incomplete data (randomly censored) on the Pacific coast of southern Mexico using a random censo...
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V. O. Polyakov,N. M. Khachapuridze
Pág. 101 - 110
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Dedi Liu, Yujie Zeng, Yue Qin, Youjiang Shen and Jiayu Zhang
Due to water supply increase and water quality deterioration, water resources are a critical problem in saltwater intrusion areas. In order to balance the relationship between water supply and water environment requirements, the nexus of water supply-wat...
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S. Gowrishankar,P. S. Satyanarayana
Pág. pp. 53 - 62
The number of users and their network utilization will enumerate the traffic of the network. The accurate and timely estimation of network traffic is increasingly becoming important in achieving guaranteed Quality of Service (QoS) in a wireless network. ...
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Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
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Ling Zeng, Hongwei Bi, Yu Li, Xiulin Liu, Shuai Li and Jinfeng Chen
Recent evidence of the impact of watershed underlying conditions on hydrological processes have made the assumption of stationarity widely questioned. In this study, the temporal variations of frequency distributions of the annual maximum flood were inve...
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Huiquan Miao, Yanqiong Ding and Jiaxu Shen
Spatially variable ground motions are crucial for the seismic analysis and design of extended and multi-support structures. In this study, a new random nonstationary spatially variable ground motion model based on the propagation process of seismic waves...
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Hanxin Chen, Shaoyi Li and Menglong Li
Conventional signal processing methods such as Principle Component Analysis (PCA) focus on the decomposition of signals in the 2D time?frequency domain. Parallel factor analysis (PARAFAC) is a novel method used to decompose multi-dimensional arrays, whic...
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Weihao Xuan, Feng Zhang, Hongye Zhou, Zhenhong Du and Renyi Liu
The increase in atmospheric pollution dominated by particles with an aerodynamic diameter smaller than 2.5 µm (PM2.5) has become one of the most serious environmental hazards worldwide. The geographically weighted regression (GWR) model is a vital method...
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Henan Gu, Zhongbo Yu, Guofang Li and Qin Ju
Design annual runoff is a classical issue in traditional univariate hydrological frequency analysis (HFA). We developed a multivariate HFA approach for designs for a study region covering the confluence of two streams. HFA relies on the assumption that p...
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Qiqi Yang, Qiang Dai, Dawei Han, Xuehong Zhu and Shuliang Zhang
Designed for rainstorms and flooding, hydrosystems are largely based on local rainfall Intensity?Duration?Frequency (IDF) curves which include nonstationary components accounting for climate variability. IDF curves are commonly calculated using downscali...
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Soojin Moon, Boosik Kang
Pág. 1 - 22
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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Soojin Moon and Boosik Kang
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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Yihan Tang, Qizhong Guo, Chengjia Su and Xiaohong Chen
Climate change has led to non-stationarity in recorded floods all over the world. Although previous studies have widely discussed the design error caused by non-stationarity, most of them explored basins with closed catchment areas. The response of flood...
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Yihan Tang, Qizhong Guo, Chengjia Su, Xiaohong Chen
Pág. 1 - 16
Climate change has led to non-stationarity in recorded floods all over the world. Although previous studies have widely discussed the design error caused by non-stationarity, most of them explored basins with closed catchment areas. The response of flood...
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Hanbeen Kim, Taereem Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covariates of distrib...
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Xu Zhang, Chao Song, Chengwu Wang, Yili Yang, Zhoupeng Ren, Mingyu Xie, Zhangying Tang and Honghu Tang
Understanding geospatial impacts of multi-sourced drivers on the tourism industry is of great significance for formulating tourism development policies tailored to regional-specific needs. To date, no research in China has explored the combined impacts o...
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