ABSTRACT OF THE THESIS
Weather Augmented Risk Determination (WARD) System
By
Mohsen Niknejad
Master of Science in Civil and Environmental Engineering
University of California, Irvine, 2015
Professor Amir AghaKouchak, Chair
Extreme climatic events have direct (e.g., physical damage) and indirect impacts (e.g., low air
quality caused by a dry spell) on society, economy and the environment. Based on the United
States Bureau of Economic Analysis (BEA) data, over one third of the U.S. GDP can be
considered as weather-sensitive involving some degree of weather risk. This expands from a
local scale concrete foundation construction to large scale transportation systems. Extreme and
unexpected weather conditions have always been considered as one of the probable risks to
human health, productivity and activities. The construction industry is a large sector of the
economy, and is also greatly influenced by weather-related risks including work stoppage and
low labor productivity. Identification and quantification of these risks, and providing mitigation
of their effects are always the concerns of construction project managers. In addition to severe
weather conditions’ destructive effects, seasonal changes in weather conditions can also have
negative impacts on human health. Work stoppage and reduced labor productivity can be caused
by precipitation, wind, temperature, relative humidity and other weather conditions. Historical
and project-specific weather information can improve better project management and mitigation
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planning, and ultimately reduce the risk of weather-related conditions. This thesis proposes new
software for project-specific user-defined data analysis that offers (a) probability of work
stoppage and the estimated project length considering weather conditions; (b) information on
reduced labor productivity and its impacts on project duration; and (c) probabilistic information
on the project timeline based on both weather-related work stoppage and labor productivity. The
software (WARD System) is designed such that it can be integrated into the already available
project management tools. While the system and presented application focuses on the
construction industry, the developed software is general and can be used for any application that
involves labor productivity (e.g., farming) and work stoppage due to weather conditions (e.g.,
transportation, agriculture industry). The system is designed to offer work stoppage and labor
productivity information based on user-defined weather conditions.