Joo‐Hyon Kang

ORCID: 0000-0003-0251-135X
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About
Contact & Profiles
Research Areas
  • Urban Stormwater Management Solutions
  • Water Quality and Pollution Assessment
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Soil and Water Nutrient Dynamics
  • Water Systems and Optimization
  • Fecal contamination and water quality
  • Water Quality Monitoring and Analysis
  • Smart Materials for Construction
  • TiO2 Photocatalysis and Solar Cells
  • Constructed Wetlands for Wastewater Treatment
  • Urban Heat Island Mitigation
  • Infrastructure Maintenance and Monitoring
  • Hydrological Forecasting Using AI
  • Wastewater Treatment and Reuse
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Viral gastroenteritis research and epidemiology
  • Nanoparticles: synthesis and applications
  • SARS-CoV-2 detection and testing
  • Odor and Emission Control Technologies
  • Advanced Photocatalysis Techniques
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Groundwater and Isotope Geochemistry
  • activated carbon and charcoal
  • Water Quality Monitoring Technologies

Dongguk University
2015-2025

Korea University
2013

Gwangju Institute of Science and Technology
2009-2010

University of Minnesota
2008-2009

University of California, Los Angeles
2006-2009

University of California, Davis
2007-2009

Saint Anthony College of Nursing
2008-2009

Beijing Normal University
2007-2008

Pennsylvania State University
2005-2008

Rural Development Administration
2005

Stormwater runoff from three highway sites in Los Angeles, California, was monitored, during the 2000 to 2003 wet seasons. Correlations among heavy metals, polycyclic aromatic hydrocarbons (PAHs), and storm characteristics were performed using datasets collected for 62 events. Statistical correlation analyses of event mean concentrations (EMCs) mass first‐flush ratios (MFFs) with conducted determine if first flush is related site or characteristics. This study agreed other characterization...

10.2175/106143008x357237 article EN Water Environment Research 2009-03-01

Background: Silver nanoparticles (AgNPs) are widely used in industrial and household applications, arousing concern regarding their safety humans. The risks posed by stabilizer-coated AgNPs continue to be unclear, assessing toxicity is for an understanding of the issues involved use various applications. Purpose: We aimed investigated long-term citrate-coated silver (cAgNPs) liver tissue using several tests transcriptomic analysis at 7 28 days after a single intravenous injection into rabbit...

10.2147/ijn.s174515 article EN cc-by-nc International Journal of Nanomedicine 2019-01-01

Storm-water monitoring generally uses flow-weighted automatic composite samplers to collect a representative sample of an entire storm event. Automatic are convenient but unfortunately they can be expensive, especially for temporary sampling needs or short-term research projects. An alternative method is use series grab samples. This paper examines the accuracy event mean concentrations (EMCs) and mass first flush ratios calculated from finite number samples, compares them results Both...

10.1061/(asce)0733-9372(2009)135:3(118) article EN Journal of Environmental Engineering 2009-02-17

Abstract: Maintenance is imperative to preserve performance and extend useable life of stormwater treatment practices. Increased attention mass balance, numerical goals, total maximum daily loads (TMDLs), antidegradation requirements has created the need for more emphasis on practice maintenance in order meet permitting reporting requirements. The purpose this paper advance short long‐term considerations so as develop realistic plans. To do so, a municipal public works survey was developed,...

10.1111/j.1936-704x.2010.00393.x article EN Journal of Contemporary Water Research & Education 2010-12-01

A comprehensive monitoring program was conducted during 2005-2007 to investigate seasonal variations of hydrologic stability and water quality in the Yeongsan Reservoir (YSR), located at downstream end River, Korea. principal component analysis (PCA) performed identify factors dominating variation from a large suite measured data--11 physico-chemical parameters 48 sampling sites. The results showed that three components explained approximately 62% spatio-seasonal variation, which are related...

10.1039/b920235h article EN Journal of Environmental Monitoring 2010-01-01
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