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Jonathan Stiles, Harvey Miller
Pág. 97 - 113
This study identifies built environmental factors that influence the determination of fault in urban pedestrian crashes in the United States, with implications for both safety and equity. Using data from Columbus, Ohio, we apply regression modeling, spat...
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Yash Amonkar, James Doss-Gollin and Upmanu Lall
The potential for extreme climate events to cluster in space and time has driven increased interest in understanding and predicting compound climate risks. Through a case study on floods in the Ohio River Basin, we demonstrated that low-frequency climate...
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Armin Rashidi Nasab and Hazem Elzarka
The deterioration of a bridge?s deck endangers its safety and serviceability. Ohio has approximately 45,000 bridges that need to be monitored to ensure their structural integrity. Adequate prediction of the deterioration of bridges at an early stage is c...
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Baoyun Guo, Kenan Li and Cong Fu
For decades, researchers have been concerned with house price modeling, and recognition has grown for the necessity of considering environmental and contextual variables in the process. This research examines the association between neighborhood characte...
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Suresh Sharma and Rajesh Bhatt
In this study, the surface water salinity of Mentor Marsh, located in Northern Ohio, USA, was monitored for 3 years by establishing 10 monitoring stations, whereas sporadic surface water salinity data were recorded at more than 30 locations in the marsh ...
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Biagina Chiofalo, Alessandro Vastolo, Marianna Oteri, Serena Calabrò, Rosangela Armone, Danilo Scordia, Monica Isabella Cutrignelli and Fabio Gresta
The present work compared the agronomic traits, chemical composition, fatty acid profile, and in vitro fermentation characteristics of twelve accessions of Amaranthus spp., belonging to A. cruentus, A. hybridus, A. hypochondriacus, and A. tricolor, grown...
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Ganeshchandra Mallya, Mohamed M. Hantush and Rao S. Govindaraju
Effective water quality management and reliable environmental modeling depend on the availability, size, and quality of water quality (WQ) data. Observed stream water quality data are usually sparse in both time and space. Reconstruction of water quality...
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Christopher T. Nietch, Leslie Gains-Germain, James Lazorchak, Scott P. Keely, Gregory Youngstrom, Emilee M. Urichich, Brian Astifan, Abram DaSilva and Heather Mayfield
A data-driven approach to characterizing the risk of cyanobacteria-based harmful algal blooms (cyanoHABs) was undertaken for the Ohio River. Twenty-five years of river discharge data were used to develop Bayesian regression models that are currently appl...
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Israel A. Olaoye, Remegio B. Confesor, Jr. and Joseph D. Ortiz
The separate and synergistic effects of land use and climate change on water quality variables in Old Woman Creek (OWC) watershed were evaluated using a hydrological model set up in Soil and Water Assessment Tool (SWAT) for the OWC watershed. Model calib...
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Sohyun Park, Aram Yang, Hui Jeong Ha and Jinhyung Lee
Social mixing is one of the key objectives of the housing policy in OECD countries. The Low-Income Housing Tax Credit (LIHTC) program, the largest affordable housing construction program in the US since 1986, has recently set creating mixed-income commun...
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