Measuring And Modeling Potable Water Demand In The United States Virgin Islands

Abstract

This thesis uses a data-driven and model-based approach to measure and estimate potable water flows in the United States Virgin Islands (USVI). The USVI potable water system is considerably more complicated than typical systems in the mainland United States. For this reason, we conduct a first-principles analysis on water production, storage, delivery, and use patterns to see if standard statistical models of water demand apply in the USVI context. We curate and combine historical weather, demographic, water use, and water delivery data to understand past water use and flows across St. Thomas and St. John. We identify statistically significant differences in water demand patterns on daily and seasonal time horizons. We further quantify how statistical models for normal operations may make poor predictions of water demands after disasters. Based on these analyses, we provide recommendations for USVI stakeholders focused on making the territory resilient to future disasters, such as hurricanes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2020
Accession Number
AD1114654

Entities

People

  • Andrew J. Borgdorff

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • California
  • Commerce
  • Data Mining
  • Data Science
  • Department Of Homeland Security
  • Drinking Water
  • Emergency Response
  • Environmental Protection
  • Geography
  • Groundwater
  • Information Processing
  • Information Science
  • Natural Resources
  • Neural Networks
  • Operations Research
  • Particle Swarm Optimization
  • Regression Analysis
  • Surveys
  • United States
  • United States Naval Academy
  • Water Resources
  • Water Supplies

Fields of Study

  • Environmental science

Readers

  • Emergency Management and Homeland Security.
  • Marine Ecotoxicology
  • Systems Analysis and Design