Effects of bathing intensity, rainfall events, and location on the recreational water quality of stream pools in southern Ecuador

Chemosphere ◽  
2020 ◽  
Vol 243 ◽  
pp. 125442 ◽  
Author(s):  
Carlos Iñiguez-Armijos ◽  
Julissa Sánchez ◽  
Marielena Villareal ◽  
Silvio Aguilar ◽  
Daniel Rosado
1988 ◽  
Vol 23 (3) ◽  
pp. 1530-1535
Author(s):  
F. Tiefenbrunner ◽  
E. Schaber ◽  
A. Steinkasserer

2009 ◽  
Vol 11 (6) ◽  
pp. 1192 ◽  
Author(s):  
Dawn Arlene Teresa Phillip ◽  
Peter Antoine ◽  
Vincent Cooper ◽  
Lorraine Francis ◽  
Erin Mangal ◽  
...  

1997 ◽  
Vol 35 (11-12) ◽  
pp. 179-186 ◽  
Author(s):  
B. M. Roll ◽  
R. S. Fujioka

This study assessed the contribution of water from a stream on the microbial quality of a swimming beach. The faecal indicator bacterial concentrations/100mL in Kaelepulu Stream greatly exceeded the three USEPA recreational water quality standards (200 faecal coliform, 126 E. coli, 33 enterococci). The primary sources for these indicator bacteria were determined to be environmental/non-point sources (tributary streams, storm drains, duck faeces, soil, rain). Sewage discharge is another, although sporadic source. Monitoring waters for C. perfringens was the most reliable indicator of sewage contamination primarily because soil is not a major source of this bacterium. Water from this inland system was a source of faecal indicator recovered from shoreline water samples obtained from Kailua Beach, one of the most popular beaches in the state of Hawaii.


2018 ◽  
Vol 17 (1) ◽  
pp. 137-148
Author(s):  
Abdiel E. Laureano-Rosario ◽  
Andrew P. Duncan ◽  
Erin M. Symonds ◽  
Dragan A. Savic ◽  
Frank E. Muller-Karger

Abstract Predicting recreational water quality is key to protecting public health from exposure to wastewater-associated pathogens. It is not feasible to monitor recreational waters for all pathogens; therefore, monitoring programs use fecal indicator bacteria (FIB), such as enterococci, to identify wastewater pollution. Artificial neural networks (ANNs) were used to predict when culturable enterococci concentrations exceeded the U.S. Environmental Protection Agency (U.S. EPA) Recreational Water Quality Criteria (RWQC) at Escambron Beach, San Juan, Puerto Rico. Ten years of culturable enterococci data were analyzed together with satellite-derived sea surface temperature (SST), direct normal irradiance (DNI), turbidity, and dew point, along with local observations of precipitation and mean sea level (MSL). The factors identified as the most relevant for enterococci exceedance predictions based on the U.S. EPA RWQC were DNI, turbidity, cumulative 48 h precipitation, MSL, and SST; they predicted culturable enterococci exceedances with an accuracy of 75% and power greater than 60% based on the Receiving Operating Characteristic curve and F-Measure metrics. Results show the applicability of satellite-derived data and ANNs to predict recreational water quality at Escambron Beach. Future work should incorporate local sanitary survey data to predict risky recreational water conditions and protect human health.


2020 ◽  
Vol 63 (3) ◽  
pp. 753-770 ◽  
Author(s):  
Rory Coffey ◽  
Jonathan Butcher ◽  
Brian Benham ◽  
Thomas Johnson

Highlights Increased fecal coliform (FC) loading from nonpoint sources is associated with wetter-warmer futures. Drier-warmer futures reduced FC loads but caused more recreational water quality criteria exceedances. More extensive BMP implementation may be needed to meet water quality goals. Abstract. Anticipated future hydroclimatic changes are expected to alter the transport and survival of fecally sourced waterborne pathogens, presenting an increased risk of recreational water quality impairments. Managing future risk requires an understanding of the interactions between fecal sources, hydroclimatic conditions, and best management practices (BMPs) at spatial scales relevant to decision makers. In this study, we used the Hydrologic Simulation Program FORTRAN (HSPF) to quantify potential fecal coliform (FC, an indicator of the potential presence of pathogens) responses to a range of mid-century climate scenarios and assess different BMP scenarios (based on reduction factors) for reducing the risk of water quality impairment in two small agricultural watersheds: the Chippewa watershed in Minnesota, and the Tye watershed in Virginia. In each watershed, simulations show a wide range of FC responses, driven largely by variability in projected future precipitation. Wetter future conditions, which drive more transport from nonpoint sources (e.g., manure application, livestock grazing), show increases in FC loads. Loads typically decrease in drier futures; however, higher mean FC concentrations and more recreational water quality criteria exceedances occur, likely caused by reduced flow during low-flow periods. Median changes across the ensemble generally show increases in FC load. BMPs that focus on key fecal sources (e.g., runoff from pasture, livestock defecation in streams) within a watershed can mitigate the effects of hydroclimatic change on FC loads. However, more extensive BMP implementation or improved BMP efficiency (i.e., higher FC reductions) may be needed to fully offset increases in FC load and meet water quality goals, such as total maximum daily loads and recreational water quality standards. Strategies for managing climate risk should be flexible and to the extent possible include resilient BMPs that function as designed under a range of future conditions. Keywords: Climate, HSPF, Management responses, Microbial water quality, Modeling, Watersheds.


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