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  • 1
    Publication Date: 2021-06-28
    Description: Knowledge on the determinants and patterns of water demand for different consumers supports the design of customized demand management strategies. Smart meters coupled with big data analytics tools create a unique opportunity to support such strategies. Yet, at present, the information content of smart meter data is not fully mined and usually needs to be complemented with water fixture inventory and survey data to achieve detailed customer segmentation based on end use water usage. In this paper, we developed a data‐driven approach that extracts information on heterogeneous water end use routines, main end use components, and temporal characteristics, only via data mining existing smart meter readings at the scale of individual households. We tested our approach on data from 327 households in Australia, each monitored with smart meters logging water use readings every 5 s. As part of the approach, we first disaggregated the household‐level water use time series into different end uses via Autoflow. We then adapted a customer segmentation based on eigenbehavior analysis to discriminate among heterogeneous water end use routines and identify clusters of consumers presenting similar routines. Results revealed three main water end use profile clusters, each characterized by a primary end use: shower, clothes washing, and irrigation. Time‐of‐use and intensity‐of‐use differences exist within each class, as well as different characteristics of regularity and periodicity over time. Our customer segmentation analysis approach provides utilities with a concise snapshot of recurrent water use routines from smart meter data and can be used to support customized demand management strategies.
    Description: Key Points: We investigate which water use behaviors can be identified from nonintrusive, single‐point, smart meter data We identify and cluster primary water use behaviors of single‐family households from disaggregated end use data We reveal the main water end uses driving different behaviors, usage patterns, and regularity, to support customized demand management
    Keywords: 333.91 ; water demand management ; water end uses ; segmentation analysis ; data mining ; water use behaviors ; smart meters
    Type: article
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  • 2
    Publication Date: 2022-07-26
    Description: Smallholder livelihoods throughout Central America are built on rain‐fed agriculture and depend on seasonal variations in temperature and precipitation. Recent climatic shifts in this highly diverse region are not well understood due to sparse observations, and as the skill of global climate products have not been thoroughly evaluated. We examine the performance for several reanalysis and satellite‐based global climate data products (CHIRPS/CHIRTS, ERA5, MERRA‐2, PERSIANN‐CDR) as compared to the observation‐based GPCC precipitation dataset. These datasets are then used to evaluate the magnitude and spatial extent of hydroclimatic shifts and changes in aridity and drought over the last four decades. We focus on water‐limited regions that are important for rain‐fed agriculture and particularly vulnerable to further drying, and newly delineate those regions for Central America and Mexico by adapting prior definitions of the Central American Dry Corridor. Our results indicate that the CHIRPS dataset exhibits the greatest skill for the study area. A general warming of 0.2–0.8°C·decade−1 was found across the region, particularly for spring and winter, while widespread drying was indicated by several measures for the summer growing season. Changes in annual precipitation have been inconsistent, but show declines of 20–25% in eastern Honduras/Nicaragua and in several parts of Mexico. Some regions most vulnerable to drying have been subject to statistically significant trends towards summer drying, increases in drought and aridity driven by precipitation declines, and/or a lengthening of the winter dry season, highlighting areas where climate adaptation measures may be most urgent.
    Description: Over the past four decades, precipitation trends are the main driver of drought trends, with temperature trends playing a small role. The most widespread drying and increases in aridity have occurred during the summer growing season. Based on delimitations of water‐limited and climate‐sensitive regions (brown shading) that are important for rain‐fed agriculture, some of these highly vulnerable regions overlap with areas of significant drying (red), highlighting potential prioritization areas for climate adaptation measures. image
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Frias Institute of Advanced Studies (FRIAS) http://dx.doi.org/10.13039/501100003190
    Description: National Science Foundation http://dx.doi.org/10.13039/100000001
    Keywords: ddc:551.6
    Language: English
    Type: doc-type:article
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  • 3
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    In:  Bull. Seismol. Soc. Am., Ottawa, Bundesanstalt für Geowissenschaften und Rohstoffe, vol. 93, no. 5, pp. 2025-2042, pp. L14310
    Publication Date: 2003
    Keywords: Strong motions ; Site amplification ; Error analysis ; noksp ; BSSA
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  • 4
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    In:  Geophys. J. Int., Luxembourg, Conseil de l'Europe, vol. 108, no. 4a, pp. 394-398, pp. 2083, (ISBN 1-86239-117-3)
    Publication Date: 1992
    Keywords: P-waves ; Seismology ; Hilbert transform ; Nuclear explosion ; GJI
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  • 5
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    In:  Phys. Earth Plan. Int., Tokyo, Tokyo University, vol. 11, no. 9, pp. 312-332, pp. 2265, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Publication Date: 1976
    Keywords: Source mechanics ; Plate tectonics ; PEPI
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  • 6
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    Elsevier Scientific Publishing Company
    In:  Phys. Earth Plan. Int., Amsterdam, Elsevier Scientific Publishing Company, vol. 18, no. 2, pp. 167-175, pp. 2265, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Publication Date: 1979
    Keywords: PEPI ; red ; silent ; Earthquake
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  • 7
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    In:  J. Geophys. Res., Tokyo, Tokyo University, vol. 83, no. 2, pp. 3427-3434, pp. 2265, (ISSN 0016-8548, ISBN 3-510-50045-8)
    Publication Date: 1978
    Keywords: Earthquake ; Seismology ; JGR
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  • 8
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    In:  Bull. Seism. Soc. Am., Basel, Elsevier Science Publishers, vol. 96, no. 4a, pp. 1422-1436, pp. B03304, (ISSN: 1340-4202)
    Publication Date: 2006
    Keywords: Site amplification ; Modelling ; Earthquake engineering, engineering seismology ; Seismology ; BSSA
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  • 9
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    In:  Geophys. J., Zagreb, 3-4, vol. 98, no. 5372, pp. 565-574, pp. B06305, (ISSN: 1340-4202)
    Publication Date: 1989
    Keywords: Discrimination ; Nuclear explosion ; Earthquake ; Seismology
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  • 10
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    In:  Bull. Seism. Soc. Am., Tulsa, 450 pp.; 2nd modified and expanded ed., Society of Exploration Geophysics, vol. 76, no. 1-2, pp. 1143-1150, pp. B02405, (ISSN: 1340-4202)
    Publication Date: 1986
    Keywords: Attenuation ; Coda (waves, ~ of seismograms) ; Quality factor ; BSSA
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