Jeffery S. Horsburgh

Jeffery S. Horsburgh
Utah State University | USU · Department of Civil and Environmental Engineering

PhD

About

112
Publications
29,526
Reads
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1,934
Citations
Additional affiliations
January 2011 - present

Publications

Publications (112)
Article
Residential water end-use events (e.g., showers, toilets, faucets, etc.) can be derived from high temporal resolution (<1 min) water metering data. Past studies have collected data at different temporal resolutions (e.g., 4 s, 5 s, or 10 s) without assessing the impact of the temporal aggregation interval on end-use event features (e.g., volume, fl...
Article
Full-text available
Hydroinformatics and water data science topics are increasingly common in university graduate settings through dedicated courses and programs as well as incorporation into traditional water science courses. The technical tools and techniques emphasized by hydroinformatics and water data science involve distinctive instructional styles, which may be...
Preprint
Hydroinformatics and water data science topics are increasingly common in university graduate settings through dedicated courses and programs as well as incorporation into traditional water science courses. The technical tools and techniques emphasized by hydroinformatics and water data science involve distinctive instructional styles, which may be...
Article
Sensors measuring environmental phenomena at high frequency commonly report anomalies related to fouling, sensor drift and calibration, and datalogging and transmission issues. Suitability of data for analyses and decision making often depends on manual review and adjustment of data. Machine learning techniques have potential to automate identifica...
Article
Full-text available
We present a new, open source, computationally capable datalogger for collecting and analyzing high temporal resolution residential water use data. Using this device, execution of water end use disaggregation algorithms or other data analytics can be performed directly on existing, analog residential water meters without disrupting their operation,...
Article
Collecting and managing high temporal resolution residential water use data is challenging due to cost and technical requirements associated with the volume and velocity of data collected. We developed an open-source, modular, generalized architecture called Cyberinfrastructure for Intelligent Water Supply (CIWS) to automate the process from data c...
Article
The Logan River watershed, located in Northern Utah, USA, consists of a relatively pristine, mountainous area that drains to a lower elevation, valley area influenced by both urban development and agriculture. The Logan River Observatory has been collecting aquatic (streamflow and water quality) and climate data throughout the Logan River watershed...
Article
Full-text available
In this synthesis, we assess present research and anticipate future development needs in modeling water quality in watersheds. We first discuss areas of potential improvement in the representation of freshwater systems pertaining to water quality, including representation of environmental interfaces, in-stream water quality and process interactions...
Article
Full-text available
Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, a...
Article
Full-text available
We present a low-cost (≈ $150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable t...
Article
Web based applications, web services, and online data and model sharing technology are becoming increasingly available to support hydrologic research. This promises benefits in terms of collaboration, computer platform independence, and reproducibility of modeling workflows and results. In this research, we designed an approach that integrates hydr...
Article
In hydrologic research, there is a need to manage, archive, and publish data in a discoverable way to increase data reuse, transparency, and reproducibility. Multidimensional space-time data are commonly used in hydrologic research, and systems are needed for sharing and exchanging such data. Simply exchanging files may result in loss of metadata i...
Article
Many have argued that datasets resulting from scientific research should be part of the scholarly record as first class research products. Data sharing mandates from funding agencies and scientific journal publishers along with calls from the scientific community to better support transparency and reproducibility of scientific research have increas...
Article
Full-text available
There are now many ongoing efforts to develop low-cost, open-source, low-power sensors and datalogging solutions for environmental monitoring applications. Many of these have advanced to the point that high quality scientific measurements can be made using relatively inexpensive and increasingly off-the-shelf components. With the development of the...
Article
Many recent modeling efforts have employed component-based modeling frameworks to take advantage of the flexibility they provide in representing systems more holistically. Despite the benefits that are driving this adoption, conducting model parameter estimation, uncertainty analysis, sensitivity assessment, and other simulations of this nature wit...
Article
Full-text available
The use of existing component-based modeling frameworks for integrated water resources modeling is currently hampered for some important use cases because they lack support for commonly used, topology-aware, spatiotemporal data structures. Additionally, existing frameworks are often accompanied by large software stacks with steep learning curves. O...
Conference Paper
Full-text available
Transitioning from the traditional approach of executing water resources models on single desktop computers to increasingly ubiquitous High Performance Heterogeneous Computing (HPC) infrastructure introduces efficiencies that could help advance the degree of fidelity of models to the underlying physical processes they simulate. For example, model d...
Article
Full-text available
Collection of high resolution, in situ data using environmental sensors is common in hydrology and other environmental science domains. Sensors are subject to drift, fouling, and other factors that can affect the quality of the measurements and their subsequent use for scientific analyses. The process by which sensor data are reviewed to verify val...
Article
Environmental data are growing in complexity, size, and resolution. Addressing the types of large, multidisciplinary problems faced by today's environmental scientists requires the ability to leverage available data and information to inform decision making. Successfully synthesizing heterogeneous data from multiple sources to support holistic anal...
Article
Full-text available
Stormwater runoff in urban areas can contribute high concentrations of dissolved organic matter (DOM) to receiving waters, potentially causing impairment to the aquatic ecosystem of urban streams and downstream water bodies. Compositional changes in DOM due to storm events in forested, agricultural, and urban landscapes have been well studied, but...
Article
We present an inexpensive, open source, water metering system for measuring water use quantity and behavior at high temporal frequency. We demonstrate this technology in two high-traffic, public restrooms at Utah State University before and after installing high efficiency, automatic faucets and toilet flush valves. We also integrated an inexpensiv...
Article
Full-text available
Integrating social and hydrologic sciences for understanding water systems is challenged by data management complexities. Contemporary mandates for open science and data sharing necessitate better understanding of the implications of social science data types. In the context of an interdisciplinary water research program that endeavors to integrate...
Article
Full-text available
Water resources are increasingly impacted by growing human populations, land use, and climate changes, and complex interactions among biophysical processes. In an effort to better understand these factors in semiarid northern Utah, United States, we created a real-time observatory consisting of sensors deployed at aquatic and terrestrial stations t...
Article
Full-text available
Environmental modelers rely on a variety of computational models to make predictions, test hypotheses, and address specific problems related to environmental science and natural resource management. Scientists and engineers must devote significant effort to preparing these computational models. While significant attention has been devoted to sharin...
Article
Full-text available
Water quality in urban streams and stormwater systems is highly dynamic, both spatially and temporally, and can change drastically during storm events. Infrequent grab samples commonly collected for estimating pollutant loadings are insufficient to characterize water quality in many urban water systems. In situ water quality measurements are being...
Article
One approach for performing uncertainty assessment in flood inundation modeling is to use an ensemble of models with different conceptualizations, parameters, and initial and boundary conditions that capture the factors contributing to uncertainty. However, the high computational expense of many hydraulic models renders their use impractical for en...
Poster
Full-text available
Dissolved organic matter (DOM) plays an important role in the aquatic environment and can have significant effects on aquatic organisms. Characterizing the composition of DOM within urban receiving waters and the contributions of DOM from urban stormwater runoff is important for understanding potential downstream water quality effects. We conducted...
Article
Full-text available
Earth Science researchers require access to integrated, cross-disciplinary data in order to answer critical research questions. Partially due to these science drivers, it is common for disciplinary data systems to expand from their original scope in order to accommodate collaborative research. The result is multiple disparate databases with overlap...
Article
Full-text available
Understanding human motivations and actions related to environmental problems is central to modeling complex, human-natural systems. However, social science survey data on environmental issues are often presented in relatively static reports and figures and are not easily accessible for participatory deliberation. Federal data sharing mandates moti...
Conference Paper
Full-text available
Applying modern software engineering to scientific software development has many challenges. These include lack of time or incentives to learn software engineering best practices, a lack of understanding or appreciation of the value of modern software engineering, and a shortage of mechanisms to more broadly change the software engineering culture...
Presentation
Full-text available
Water quality in urban streams and stormwater systems is highly dynamic. In-stream concentrations of common pollutants, such as total suspended solids (TSS) and total phosphorus (TP), can change drastically during storm events. Continuous and unbiased pollutant load estimates require water quality and quantity measurements at a frequency less than...
Chapter
Full-text available
Abstract HydroShare is an online collaborative system under development to support the open sharing of hydrologic data, analytical tools, and computer models. With HydroShare, scientists can easily discover, access, and analyze hydrologic data and thereby enhance the production and reproducibility of hydrologic scientific results. HydroShare also t...
Conference Paper
Full-text available
HydroCouple is a cross-platform, component-based modeling interface definition that largely follows the Open Modeling Interface 2.0 (OpenMI) specification. HydroCouple provides advancements to better facilitate those experimental model investigations that fall into the so-called " embarrassingly parallel " class of simulations, including uncertaint...
Poster
Full-text available
Dissolved organic matter (DOM) in the aquatic environment originates from living and decaying organisms and anthropogenic sources. DOM plays a significant role in the availability of dissolved nutrients, sequestration of metals from the environment, and optical properties in aquatic ecosystems, all of which affect aquatic organisms. For example, DO...
Article
Integrated access to and analysis of data for cross-domain synthesis studies are hindered because common characteristics of observational data, including time, location, provenance, methods, and units are described differently within different information models, including physical implementations and exchange schema. We describe a new information...
Poster
Full-text available
Water quality in urban streams and stormwater systems is highly dynamic. In-stream concentrations of common pollutants, such as total suspended solids (TSS) and total phosphorus (TP), can change drastically during storm events. Continuous and unbiased pollutant load estimates require water quality and quantity measurements at a frequency less than...
Presentation
Full-text available
Many hydrologists devote a significant amount of time to applying computational models. Sharing the results of these efforts broadly would benefit the community because scientists could, when appropriate, verify, extend, and refine existing models created by others rather than creating new models from scratch. While recent attention has been devote...
Article
Full-text available
Abstract In making the decision whether to use component-based modeling, its benefits must be balanced against computational costs. Studies evaluating these costs using the Open Modeling Interface (OpenMI) have largely used models with simplified formulations, small spatial and temporal domains, or a limited number of components. We evaluate these...
Article
Full-text available
The types of data and models used within the hydrologic science community are diverse. New repositories have succeeded in making data and models more accessible, but are, in most cases, limited to particular types or classes of data or models and also lack the type of collaborative and iterative functionality needed to enable shared data collection...
Article
Full-text available
It is common for in situ hydrologic and water quality data to be collected at high frequencies and for extended durations. These data streams, which may also be collected across many monitoring sites require infrastructure for data storage and management. The Observations Data Model (ODM), which is part of the Consortium of Universities for the Adv...
Conference Paper
The traditional iRODS mechanisms for file sharing, including user groups, often require some form of iRODS administrative privilege. In the HydroShare project for enabling hydrology research, we perceived a need for more flexible file sharing, including unprivileged creation and management of user groups according to policies quite distinct from th...
Article
Full-text available
It is common for hydrology researchers to collect data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that produce data volumes requiring infrastructure for data storage, management, and sharing. The availability and utility of these data in addressing scientific questions related to water availabi...
Article
Full-text available
Urbanization, climate, and ecosystem change represent major challenges for managing water resources. Although water systems are complex, a need exists for a generalized representation of these systems to identify important components and linkages to guide scientific inquiry and aid water management. We developed an integrated Structure-Actor-Water...
Conference Paper
Full-text available
HydroShare is an online, open-source, collaborative system being developed for sharing hydrologic data and models as part of the NSF’s Software Infrastructure for Sustained Innovation (SI2) program. The goal of HydroShare is to enable scientists to easily discover and access hydrologic data and models, retrieve them to their desktop, or perform ana...
Conference Paper
Full-text available
HydroShare is an online, collaborative system being developed for open sharing of hydrologic data and models. The goal of HydroShare is to enable hydrology researchers to easily discover and access hydrologic data and models, retrieve them to their desktop for local analysis and perform analyses in a distributed computing environment that may inclu...
Conference Paper
Full-text available
Hydrology researchers are collecting data using in situ sensors at high frequencies, for extended durations, and with spatial distributions that require infrastructure for data storage, management, and sharing. Managing streaming sensor data is challenging, especially in large networks with large numbers of sites and sensors. The availability and u...
Conference Paper
Full-text available
Anticipated changes to climate, human population, land use, and urban form will alter the hydrology and availability of water within the water systems on which the world's population relies. Managing water resources, as well as maintaining associated capacity to provide ecosystem services (e.g., regulating flooding, maintaining instream flow during...
Article
Abstract This paper presents a prototype software system for visualization and analysis of hydrologic data that provides interoperability between the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS) and the R statistical computing environment. By linking these two systems within...
Article
Abstract The ability to discover and integrate data from multiple sources, projects, and research efforts is critical as scientists continue to investigate complex hydrologic processes at expanding spatial and temporal scales. Until recently, syntactic and semantic heterogeneity in data from different sources made data discovery and integration dif...
Conference Paper
Full-text available
The use of interactive video conferencing (IVC) and related technologies to teach courses over the Internet is becoming more common. The typical model for a distance-learning course is a single instructor teaches students distributed in remote locations connected via IVC technology and a web-based learning management system to facilitate interactio...
Article
The determination of sediment and nutrient loads is typically based on the collection and analysis of grab samples. The frequency and regularity of traditional sampling may not provide representation of constituent loading, particularly in systems with flashy hydrology. At two sites in the Little Bear River, Utah, continuous, high‐frequency turbidi...
Conference Paper
Full-text available
The rapid growth of diverse data types and greater vol-umes available to environmental sciences prompts the scientists to seek knowledge in data from multiple places, times, and scales. To facilitate such need, ONEMercury has recently been implemented as part of the DataONE project to serve as a portal for accessing environmental and observational...
Technical Report
Full-text available
This document presents an initial EarthCube roadmap from the perspective of the Layered Architecture Concept Award. Tasks are defined for the integration of cyberinfrastructure tools developed within multiple Geoscience communities into effective scientific collaboration environments for diverse teams of geoscientists. Like the roadmaps from other...
Conference Paper
Full-text available
Discovering and accessing hydrologic and climate data for use in research or water management can be a difficult task that consumes valuable time and personnel resources. New advances in cyberinfrastructure and in semantic mediation technologies have provided the means for creating better tools supporting data discovery and access. In this paper we...
Conference Paper
The National Drought Information System (NIDIS) Upper Colorado River Basin pilot study is investigating and establishing capabilities for better dissemination of drought information for early warning and management. As part of this study we are using and extending functionality from the Consortium of Universities for the Advancement of Hydrologic S...