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  • 1
    Online Resource
    Online Resource
    Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt
    Wiley ; 2021
    In:  Journal of Flood Risk Management Vol. 14, No. 2 ( 2021-06)
    Details
    In: Journal of Flood Risk Management, Wiley, Vol. 14, No. 2 ( 2021-06)
    Abstract: Digital surface models, land use and rainfall data were used to simulate water areas using Hydrologic Engineering Centres River Analysis System (HEC‐RAS) software. Multi‐temporal synthetic aperture radar (SAR) was used for the detection of flood prone area to calibrate HEC‐RAS, due to the lack of data validation in the New Cairo City, Egypt. The thresholding water detection method was applied to two Sentinel‐1 images, one pre‐ and one post‐flash flood event from April 24 to 27, 2018. The threshold method was used to detect water areas from SAR Sentinel‐1 images. Feature statistical agreement F 1 and F 2 values ranged from 73.4 to 77.7% between water areas extracted based on backscattering values between 19.97 and 16.53 in decibels (dB) and reference water areas obtained using an optical image of the Sentinel‐2 satellite. The similarity between simulated HEC‐RAS two‐dimensional (2D) of water areas and reference water areas based on SAR data ranged between 74.2 and 89.7% using feature statistical agreement values F 1 and F 2 . It provides a clear suggestion that, in the absence of field observations, SAR data can be used to calibrate the model. Two flood hazard maps created based on water velocity and depth were obtained from HEC‐RAS 2D simulation. The obtained maps indicated that 11% of the roads and 50% of the buildings in New Cairo City are exposed to high hazard areas. Furthermore, 28% of the bare land is situated in a very high vulnerability area. We recommend the use of obtained hazard map in supporting emergency response, and designing effective emergency plans.
    Type of Medium: Online Resource
    ISSN: 1753-318X , 1753-318X
    URL: Issue
    URL: Article
    DOI: 10.1111/jfr3.v14.2
    DOI: 10.1111/jfr3.12692
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2430376-8
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  • 2
    Online Resource
    Online Resource
    Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
    Wiley ; 2021
    In:  Journal of Flood Risk Management Vol. 14, No. 1 ( 2021-03)
    Details
    In: Journal of Flood Risk Management, Wiley, Vol. 14, No. 1 ( 2021-03)
    Abstract: Floods are one of the most destructive natural disasters causing financial damages and casualties every year worldwide. Recently, the combination of data‐driven techniques with remote sensing (RS) and geographical information systems (GIS) has been widely used by researchers for flood susceptibility mapping. This study presents a novel hybrid model combining the multilayer perceptron (MLP) and autoencoder models to produce the susceptibility maps for two study areas located in Iran and India. For two cases, nine, and twelve factors were considered as the predictor variables for flood susceptibility mapping, respectively. The prediction capability of the proposed hybrid model was compared with that of the traditional MLP model through the area under the receiver operating characteristic (AUROC) criterion. The AUROC curve for the MLP and autoencoder‐MLP models were, respectively, 75 and 90, 74 and 93% in the training phase and 60 and 91, 81 and 97% in the testing phase, for Iran and India cases, respectively. The results suggested that the hybrid autoencoder‐MLP model outperformed the MLP model and, therefore, can be used as a powerful model in other studies for flood susceptibility mapping.
    Type of Medium: Online Resource
    ISSN: 1753-318X , 1753-318X
    URL: Issue
    URL: Article
    DOI: 10.1111/jfr3.v14.1
    DOI: 10.1111/jfr3.12683
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2430376-8
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  • 3
    Online Resource
    Online Resource
    An integrated geotechnical and geophysical investigation of a catastrophic landslide in the Northeast Himalayas of Pakistan
    Wiley ; 2021
    In:  Geological Journal Vol. 56, No. 9 ( 2021-09), p. 4760-4778
    Details
    In: Geological Journal, Wiley, Vol. 56, No. 9 ( 2021-09), p. 4760-4778
    Abstract: Landslides are a complex geohazard, and the key parameters that have a prominent effect on their nature are variations in slope angle and fluctuations in groundwater. The focus of this research was to analyse the prevailing conditions of the Danna‐Sahotar landslide in the south of Muzaffarabad district, Sub‐Himalayas, Pakistan, and evaluating how different conditions effect the stability of the landslide with the integration of geotechnical, geophysical, and slope stability analysis. The geotechnical investigations revealed that the surface layer is mainly sandy with clayey and silty content. The two‐dimensional (2D) electrical resistivity tomography (ERT) demarcated the presence of a possible slip surface situated in the portion where the resistivity values clearly change. The ERT of the crown is characterized by low resistivity due to the presence of water seepages, which increase the degree of saturation and pore water pressure hence, leading to the slope failure. It was proved that the presence of high moisture content has played an influential role in triggering the landslide. Thorough analysis of integrated research yielded reliable and accurate information on the geotechnical and geological aspects of the landslide. The outcomes were used in slope stability limit equilibrium method (LEM) analysis using GeoStudio software. The slip surface predicted from the LEM was almost circular, which was confirmed by the geotechnical and ERT method. The factor of safety Fs (0.830) along the longitudinal profile of the landslide was calculated, indicating that the slopes along the profile are unstable. The geotechnical survey in combination with ERT and slope stability analysis helped to understand the failure mechanism of the landslide and to improve the layout of the future monitoring experiment, which may be used as a key for the observation of similar slope investigation.
    Type of Medium: Online Resource
    ISSN: 0072-1050 , 1099-1034
    URL: Issue
    URL: Article
    DOI: 10.1002/gj.v56.9
    DOI: 10.1002/gj.4209
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1479201-1
    SSG: 13
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  • 4
    Online Resource
    Online Resource
    High‐performance anomaly intrusion detection system with ensemble neural networks on reconfigurable hardware
    Wiley ; 2023
    In:  Concurrency and Computation: Practice and Experience Vol. 35, No. 15 ( 2023-07-10)
    Details
    In: Concurrency and Computation: Practice and Experience, Wiley, Vol. 35, No. 15 ( 2023-07-10)
    Abstract: In this article, we propose an ensemble neural network approach so that multiple neuron network models can be deployed concurrently for detecting anomalies in a system. Additionally, a high‐performance architecture integrating the neural networks for reconfigurable hardware is also designed to exploit the parallelism of the technology. We carefully implement four different models for detecting SYN, DNS, UNP, and ICMP attacks with the same configuration of neural networks on the NetFPGA platform. The neural networks can be executed in the pipeline to improve performance. Experiments with the generated dataset are conducted to test both performance in terms of throughput and accuracy. Our experimental results show that the system can process packets with throughput up to 30.48Gbps and is able to recognize 99.98% attacking packets with only 0.98% false alarms.
    Type of Medium: Online Resource
    ISSN: 1532-0626 , 1532-0634
    URL: Issue
    URL: Article
    DOI: 10.1002/cpe.v35.15
    DOI: 10.1002/cpe.6370
    RVK:
    SA 4270
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2052606-4
    SSG: 11
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  • 5
    Online Resource
    Online Resource
    Two‐dimensional quantitative imaging of multicomponent samples using polychromatic X‐rays
    Wiley ; 2019
    In:  X-Ray Spectrometry Vol. 48, No. 2 ( 2019-03), p. 85-93
    Details
    In: X-Ray Spectrometry, Wiley, Vol. 48, No. 2 ( 2019-03), p. 85-93
    Abstract: We present the theoretical formalism and an experimental demonstration of a technique for two‐dimensional quantitative imaging of two‐component samples using polychromatic X‐rays. The technique takes into account the full spectral information of the incident polychromatic beam to quantify the total X‐ray attenuation, due to each component presented in the sample, as functions of both energy and thickness. As a result, this technique is able to effectively ameliorate the effects of beam hardening. Here, we demonstrate the application of this technique to a two‐component sample. The technique makes it possible for laboratory‐based polychromatic X‐ray sources to be used for critical quantitative purposes.
    Type of Medium: Online Resource
    ISSN: 0049-8246 , 1097-4539
    URL: Issue
    URL: Article
    DOI: 10.1002/xrs.v48.2
    DOI: 10.1002/xrs.2993
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1479999-6
    SSG: 11
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  • 6
    Online Resource
    Online Resource
    Establishing an early warning system for flash floods in Hoang Su Phi District, Ha Giang Province, Vietnam
    Wiley ; 2019
    In:  Singapore Journal of Tropical Geography Vol. 40, No. 2 ( 2019-05), p. 312-333
    Details
    In: Singapore Journal of Tropical Geography, Wiley, Vol. 40, No. 2 ( 2019-05), p. 312-333
    Abstract: Hoang Su Phi is a mountainous district in Ha Giang province, Vietnam. When the rainy season arrives in these parts, flash floods (besides landslides), frequently occur in many areas, seriously affecting the socio‐economic condition of the district. Therefore, in this paper, we have developed an early warning system for flash floods, established based on a geomorphological and hydrological approach. The basic principle underlying this system is the fact that flash floods will often occur where there is high potential risk with sufficient rainfall. In the model, eight parameters of the basin were used to build a potential flash flood map. Using the spatial processing module in an open source software, early predictions from automatic weather stations were interpolated and processed online to produce a potential risk map. Depending on the threshold of precipitation values, the results determined locations where flash flood may occur at various flash flood risk indices (FFRI). The system may be applied to support provision of early flash flood warning up to 1−6 days in advance in the district, allowing the local government ample time to make appropriate decisions on the prevention and/or mitigation of damages caused by flash flood hazards.
    Type of Medium: Online Resource
    ISSN: 0129-7619 , 1467-9493
    URL: Issue
    URL: Article
    DOI: 10.1111/sjtg.2019.40.issue-2
    DOI: 10.1111/sjtg.12276
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1482898-4
    SSG: 6,25
    SSG: 14
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