scholarly journals Nontuberculous Mycobacterial Disease and Molybdenum in Colorado Watersheds

2020 ◽  
Vol 17 (11) ◽  
pp. 3854
Author(s):  
Ettie M. Lipner ◽  
Joshua French ◽  
Carleton R. Bern ◽  
Katherine Walton-Day ◽  
David Knox ◽  
...  
Keyword(s):  
Water Quality ◽  
Linear Models ◽  
Disease Risk ◽  
Mitigation Strategies ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Unit Increase ◽  
Discrete Responses ◽  
Environmental Bacteria

Nontuberculous mycobacteria (NTM) are environmental bacteria that may cause chronic lung disease. Environmental factors that favor NTM growth likely increase the risk of NTM exposure within specific environments. We aimed to identify water-quality constituents (Al, As, Cd, Ca, Cu, Fe, Pb, Mg, Mn, Mo, Ni, K, Se, Na, Zn, and pH) associated with NTM disease across Colorado watersheds. We conducted a geospatial, ecological study, associating data from patients with NTM disease treated at National Jewish Health and water-quality data from the Water Quality Portal. Water-quality constituents associated with disease risk were identified using generalized linear models with Poisson-distributed discrete responses. We observed a highly robust association between molybdenum (Mo) in the source water and disease risk. For every 1- unit increase in the log concentration of molybdenum in the source water, disease risk increased by 17.0%. We also observed a statistically significant association between calcium (Ca) in the source water and disease risk. The risk of NTM varied by watershed and was associated with watershed-specific water-quality constituents. These findings may inform mitigation strategies to decrease the overall risk of exposure.

scholarly journals Applying Community Data Reporting Formats to Open-Source Water Quality Data

2021 ◽  
Author(s):  
Dylan O'Ryan ◽  
Robert Crystal-Ornelas ◽  
Deb Agarwal ◽  
Kristin Boye ◽  
Shreyas Cholia ◽  
...  
Keyword(s):  
Water Quality ◽  
Open Source ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Data Reporting ◽  
Community Data ◽  
Source Water Quality

scholarly journals Nontuberculous mycobacterial infection and environmental molybdenum in persons with cystic fibrosis: a case–control study in Colorado

2021 ◽  
Author(s):  
Ettie M. Lipner ◽  
James L. Crooks ◽  
Joshua French ◽  
Michael Strong ◽  
Jerry A. Nick ◽  
...  
Keyword(s):  
Water Quality ◽  
Cystic Fibrosis ◽  
Case Control Study ◽  
Case Control ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Complex Species ◽  
Group Species ◽  
Control Study

Abstract Rationale Nontuberculous mycobacteria (NTM) are ubiquitous environmental bacteria that may cause chronic lung disease and are one of the most difficult-to-treat infections among persons with cystic fibrosis (pwCF). Environmental factors likely contribute to increased NTM densities, with higher potential for exposure and infection. Objective To identify water-quality constituents that influence odds of NTM infection among pwCF in Colorado. Methods We conducted a population-based nested case–control study using patient data from the Colorado CF Center NTM database. We associated data from pwCF and water-quality data extracted from the Water Quality Portal to estimate odds of NTM infection. Using Bayesian generalized linear models with binomial-distributed discrete responses, we modeled three separate outcomes; any NTM infection, infections due to Mycobacterium avium complex species, and infections due to M. abscessus group species. Results We observed a consistent association with molybdenum in the source water and M. abscessus group species infection among pwCF in all models. For every 1-unit increase in the log concentration of molybdenum in surface water, the odds of infection for those with M. abscessus group species compared to those who were NTM culture-negative increased by 79%. The odds of M. abscessus group infection varied by county; the counties with the highest probability of infection are located along the major rivers. Conclusions We have identified molybdenum in the source water as the most predictive factor of M. abscessus group infection among pwCF in Colorado. This finding will help inform patients at risk for NTM of their relative risks in residing within specific regions.

A spatial model to aggregate point-source and nonpoint-source water-quality data for large areas

1992 ◽  
Vol 18 (8) ◽  
pp. 1055-1073 ◽  
Author(s):  
Dale A. White ◽  
Richard A. Smith ◽  
Curtis V. Price ◽  
Richard B. Alexander ◽  
Keith W. Robinson
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Spatial Model ◽  
Nonpoint Source ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Source Water Quality

Evaluation of source water quality for selection of drinking water purification system

2008 ◽  
Vol 8 (3) ◽  
pp. 271-278 ◽  
Author(s):  
N. Hayashi ◽  
H. Yokota ◽  
H. Furumai ◽  
M. Fujiwara
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Purification ◽  
Principal Component ◽  
Water Utilities ◽  
Quality Data ◽  
Source Water ◽  
Water Quality Data ◽  
Purification System

When renewing water purification facilities, it is important to select a suitable purification system that can accommodate the quality of the respective source water. The Japan Water Research Center has been collecting a large amount of water quality data from drinking-water utilities across Japan, categorising and analysing these data, and evaluating the suitability of water purification processes. Multivariate analyses such as hierarchical cluster analysis and principal component analysis were performed to investigate the relationships between the quality of source water used for water supply and various factors that affect the purification process. Based on these results, water sources throughout Japan were clearly categorised into four groups, and suitable water purification systems were identified for the different water quality groups. The results can serve as an important reference for water utilities during future facility renewal projects.

scholarly journals Stream Health Estimation for the Plum Creek Watershed

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 13
Author(s):  
Narayanan Kannan
Keyword(s):  
Water Quality ◽  
Assessment Tool ◽  
Assessment Method ◽  
Mitigation Strategies ◽  
Quality Data ◽  
Stream Health ◽  
Statistical Parameters ◽  
Water Quality Data ◽  
Daily Streamflow ◽  
Creek Watershed

Overall health of a stream is one of the powerful indicators for planning mitigation strategies. Currently, available methods to estimate stream health do not look at all the different components of stream health. Based on the statistical parameters obtained from daily streamflow data, water quality data, and index of biotic integrity (IBI), this study evaluated the impacts on all the elements of stream health, such as aquatic species, riparian vegetation, benthic macro-invertebrates, and channel degradation for the Plum Creek watershed in Texas, USA. The method involved the (1) collection of flow data at the watershed outlet; (2) identification of hydrologic change in the streamflow; (3) estimation of hydrologic indicators using NATional Hydrologic Assessment Tool (NATHAT) before alteration and after alteration periods; (4) identification of the most relevant indicators affecting stream health in the watershed based on stream type; (5) preliminary estimation of the existence of stream health using flow duration curves (FDCs); (6) the use of stream health-relevant hydrologic indices with the scoring system of the Dundee Hydrologic Regime Assessment Method (DHRAM). The FDCs plotted together for before and after the alteration periods indicated the likely presence of a stream health problem in the Plum Creek. The NATHAT–DHRAM method showed a likely moderate impact on the health of Plum Creek. The biological assessments carried out, the water quality data monitored, and the land cover during pre- and post-alteration periods documented in a publicly available federal document support the stream health results obtained from this study.

Sign in / Sign up

Export Citation Format

Share Document