Author Archive for: mdick
About Margot Dick
This author has yet to write their bio.Meanwhile lets just say that we are proud Margot Dick contributed a whooping 84 entries.
Entries by Margot Dick
AI @ IA: Five Ways Artificial Intelligence Powers Discovery at Iowa
February 11, 2021 in Uncategorized /by Margot DickAnatomy of a Flood
February 10, 2021 in Spotlight /by Margot Dick“My vision is to restore the landscape’s natural flood resiliency,” says Larry Weber, “If we can strategically construct farm ponds, wetlands, terraces, and other conservation practices, they can slow the movement of water through the landscape. That will mitigate flood damage for both urban and rural Iowans.”
A meteorological‐based crop coefficient model for estimation of daily evapotranspiration
January 12, 2021 in Uncategorized /by Margot DickAnalysis of six years of micrometeorological records and data revealed strong interactions between relative humidity and evapotranspiration. Daily evapotranspiration estimates for cloudy regions need more information that relies solely on meteorological data, a primary focus of this study.
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa
December 23, 2020 in Uncategorized /by Margot DickThis study proposes a new deep recurrent neural network approach, Neural Runoff Model (NRM), which has been applied on 125 USGS streamflow gages in the State of Iowa for predicting the next 120 h due to the difficult nature of accurate streamflow forecasting. The proposed model outperforms the streamflow persistence, ridge regression and random forest […]
A serious gaming framework for decision support on hydrological hazards
December 23, 2020 in Uncategorized /by Margot DickIn this study, a web-based decision support tool (DST) was developed for hydrological multi-hazard analysis while employing gamification techniques to introduce a competitive element. The serious gaming environment provides functionalities for intuitive management, visualization, and analysis of geospatial, hydrological, and economic data to help stakeholders in the decision-making process regarding hydrological hazard preparedness and response. […]
Hydrology@Home: a distributed volunteer computing framework for hydrological research and applications
December 23, 2020 in Uncategorized /by Margot DickWeb-based distributed volunteer computing enables scientists to constitute platforms that can be used for computational tasks by using potentially millions of computers connected to the internet. The framework provides distribution and scaling capabilities for projects with user bases of thousands of volunteers. As a case study, we tested and evaluated the proposed framework with a […]
A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning
December 23, 2020 in Uncategorized /by Margot DickResearchers have been developing physical and machine learning models for decades to predict runoff using rainfall data sets, and this study presents an application of a prediction model based on LSTM and the seq2seq structure to estimate hourly rainfall‐runoff. LSTM = Long Short-Term Memory seq2seq = sequence to sequence modeling
Crowdsourced approaches for stage measurements at ungauged locations using smartphones
December 23, 2020 in Uncategorized /by Margot DickCitizen science opportunities for environmental monitoring have increased with the advances in smart phone capabilities and their growing availability. This project describes a new method to accurately measure river levels using smartphone sensors. Pictures of the same point on the river’s surface are taken to perform calculations based on the GPS location and spatial orientation […]
A web-based decision support system for collaborative mitigation of multiple water-related hazards using serious gaming
December 23, 2020 in Uncategorized /by Margot DickThe paper focuses on a participation-based serious gaming application developed to enhance multi-jurisdictional collaborative planning and decision making for mitigation of multiple hazards related to water, such as flooding, soil erosion, and water quality. The game is integrated into the Iowa Watershed Decision Support System (IoWaDSS).
Iowa Flood Center
The University of Iowa
100 Stanley Hydraulics Laboratory
Iowa City, IA 52242
E-mail: iihr-iowafloodcenter@uiowa.edu
Contact: Breanna Shea
Phone: 319-384-1729
Fax: 319-335-5238