scholarly journals Factors affecting reservoir and stream-water quality in the Cambridge, Massachusetts, drinking-water source area and implications for source-water protection

2001 ◽  
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Source Area ◽  
Water Source ◽  
Drinking Water Source ◽  
Source Water ◽  
Water Protection ◽  
Stream Water Quality ◽  
Factors Affecting ◽  
Source Water Protection

scholarly journals Key Factors Affecting Temporal Variability in Stream Water Quality

2019 ◽  
Vol 55 (1) ◽  
pp. 112-129 ◽  
Author(s):  
D. Guo ◽  
A. Lintern ◽  
J. A. Webb ◽  
D. Ryu ◽  
S. Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Temporal Variability ◽  
Stream Water ◽  
Key Factors ◽  
Stream Water Quality ◽  
Factors Affecting

scholarly journals Identifying and Prioritizing Urban and Commercial Stormwater Concerns: City of Grants Pass, Oregon

2021 ◽  
Author(s):  
◽  
Amie Siedlecki ◽  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Best Management Practices ◽  
Management Practices ◽  
Water Source ◽  
Drinking Water Quality ◽  
Project Work ◽  
Drinking Water Source ◽  
Source Water ◽  
The City

For many communities, drinking water comes from surface water sources, or source water, such as rivers and creeks. Within the city of Grants Pass, Oregon, this is the case. The Rogue River, which spans 215 miles, beginning near Crater Lake and emptying into the ocean at Gold Beach, is Grants Pass’ drinking water source. While the capacity of the Rogue River, in relation to drinking water, is rarely an issue for the City of Grants Pass’ Public Works Department, the potential contaminant sources (PCS) from the urban, commercial, and industrial geographical areas of Grants Pass is a concern. In order to deploy treatment processes that are capable of targeting these PCS, it is important to have an idea of where and how these PCS are reaching the storm drains, creeks, and eventually the Rogue River. The purpose of this study was to identify area-specific risk components and how those components spatially aligned with PCS and their locations. Geographic Information System (GIS) analysis and a risk matrix were used to rank the PCS according to risk in relation to Grants Pass’ source water intake. PCS ranked as high priority, or exuding the highest risk to drinking water quality, were followed up with onthe- ground surveys. After surveying the high priority PCS, best management practices (BMP) recommendations were made to the City of Grants Pass to better protect the drinking water quality. Branching off of this initial project work came similar studies in many other Rogue Basin communities. With this continued work, improvements were made to streamline the processes, such as recording survey observations. Overall, this project work has led to many discoveries regarding threats to drinking water quality and how to best respond to certain types of threats.

scholarly journals Accident Trend Prediction of Heavy Metal Pollution in the Heshangshan Drinking Water Source Area Based on Integrating a Two-Dimensional Water Quality Model and GIS

2019 ◽  
Vol 11 (15) ◽  
pp. 3998 ◽  
Author(s):  
Xiaowen Ding ◽  
Ping Fang
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Response Times ◽  
Source Area ◽  
Water Source ◽  
Quality Standard ◽  
Drinking Water Source ◽  
Quality Model ◽  
Trend Prediction ◽  
Flood Period

In recent years, water pollution accidents have frequently occurred, which have caused enormous economic loss and an adverse social impact. In this study, an accident trend prediction system was developed based on integrating a two-dimensional water quality model and GIS, and Arsenic (As) was adopted as a typical pollutant to study the temporal-spatial changes of heavy metal pollutions under different hydrological and meteorological conditions in the Heshangshan drinking water source area. The simulation for a recent accident indicated that pollutant changes were influenced by lateral diffusion, longitudinal diffusion, flow velocity, water flow, and the self-purification of the water body. It took 79.5 min for the As concentration to meet the water quality standard during the dry period, while it spent 61.3 min, 71 min, and 52 min in the impound period, falling period, and flood period, respectively. The emergency response times were 32 min (in the flood period), 38 min (in the impound period), 48 min (in the falling period), and 52 min (in the dry period). Furthermore, wind speed and wind direction also had impacts on pollutant spread. The times in which the maximum values met the water quality standard were 71 min (southeast wind), 77 min (southwest wind), and 87 min (no wind). The emergency response times were 38 min (southeast wind), 49 min (southwest wind), and 59 min (no wind). This study not only provides a reference for relevant departments and managers to carry out a risk assessment, disaster prevention, and emergency management after actual pollution accidents, but also makes up for the lack of research on the spatial-temporal change of heavy metal pollutants.

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