Abstract: This study examines the time-series properties of electric power prices and water production in Los Angeles, an area that is susceptible to earthquakes that may cause utility disruption. We focus on underlying stochastic properties of series that capture potential trends and cycles of critical infrastructure as measured by power price and water production. Specifically, the analysis utilizes a battery of time series-based unit root tests to determine whether or not average monthly electricity price and water production are stationary or nonstationary. The findings have implications regarding model specification and use of these series for modeling regional recovery, measuring and assessing resiliency, and in optimizing the risk management policies and practices of local utility authorities. The findings are discussed in the context of earthquakes but may provide some general insight for other natural disasters, as well.
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InfeRes: A Python Package for Inferring Water Reservoir Dynamics Using Satellite Remote Sensing
InfeRes is a Python package designed for the automated extraction of reservoir dynamics—including time series of water surface area, water level, and storage volume—by leveraging satellite imagery from Google Earth Engine (Landsat series, Sentinel-2) and high-resolution digital elevation models (30 m DEMs).
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- Award ID(s):
- 2423091
- PAR ID:
- 10615711
- Publisher / Repository:
- Zenodo
- Date Published:
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
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Bardanis, M. (Ed.)This paper characterizes nanoscale soil-water retention mechanism of unsaturated clay through molecular dynamics simulation. Series of molecular dynamics simulations of clay at low degrees of saturation were conducted. Soil water was represented by a point cloud through the centre-of-massmethod. Water-air interface area was measured numerically by the alpha shape method. Spatial variation of water number density is characterized and used to determine the adsorbed water layer. The soil-water retention mechanism at the nanoscale was analysed by distinguishing adsorptive pressure and capillary pressure at different mass water contents and considering apparent interface area (water-air interface area per unit water volume).more » « less
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