Surface Water Quality in Onshore E&P Activities in State of Espi´rito Santo, Brazil

2002 ◽  
Author(s):  
Glauco F. Fontanelli
Keyword(s):  
Water Quality ◽  
Raw Materials ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Petroleum Exploration ◽  
Economic Activities ◽  
Near Surface ◽  
X Ray ◽  
Plain Area ◽  
Exploration And Production

This paper analyses which parameters may be in fact contributing for changing in water quality in Suruaca coastal lowland region, north of Espirito Santo, Brazil (Fig. 1). It is a low and plain area, with freatic level near surface, highly deforested, where there is a dominance of activities such as petroleum exploration and production, extensive cattle breeding and plantations of eucalyptus trees. Water quality monitoring surveys that have been carried out comprise 27 parameters at total, and some anomalies have been reported. From bibliographic search and interview with people who know the area, main economic activities in the region are defined, as well as raw materials utilized by them. Raw materials are analised by means of leaching, solubility, X-ray diffraction and X-ray fluorescence. Thus, it is tried to find links between parameters with anomalous concentrations and economic activities. Besides human sources, there are natural sources that are also contributing for changing the water quality of the region, but they are only mentioned in this paper. This paper shows that not all parameters analised need a continuity of monitoring, since both the characteristics of the economic activities placed in the studied area and the monitoring results give this away. On the other hand, there are other parameters that demand deeper researches, since they occur at concentrations higher than expected. For these latter parameters are related, as possible, the activities more likely of being contributing for its presence with concentrations above the allowable level. It is not possible to evaluate the origin of the anomalous concentrations for barium, lead and mercury.

scholarly journals An evaluation of water quality at Sandhill Wetland: implications for reclaiming wetlands above soft tailings deposits in northern Alberta, Canada

2021 ◽  
Author(s):  
Jeremy A. Hartsock ◽  
Jessica Piercey ◽  
Melissa K. House ◽  
Dale H. Vitt
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Surface Water ◽  
Water Chemistry ◽  
Water Quality Monitoring ◽  
Total Alkalinity ◽  
Near Surface ◽  
Water Quality Guidelines ◽  
Quality Guidelines ◽  
Annual Water

AbstractThe experimental Sandhill Wetland is the first permanent reclamation of a composite tailings deposit, and annual water quality monitoring is of specific interest for evaluating and predicting long-term reclamation performance. Here, we present water chemistry monitoring data obtained from Sandhill Wetland (years 2009–2019) and compare results to twelve natural reference wetlands and to environmental quality guidelines for Alberta surface waters. By comparing water quality at Sandhill Wetland and natural sites to established guidelines, we can begin to document the natural background water quality of wetlands in the region and examine if guideline exceedances are seen in natural undisturbed environments, or appear only at active reclamation sites. At Sandhill Wetland the dominant ions in near-surface water were bicarbonate, sulfate, chloride, sodium, calcium, and magnesium. Since the first growing season concentrations for these ions have increased annually, causing concurrent increases in electrical conductivity. In year 2019, water chemistry at Sandhill Wetland was most comparable to regional saline fens, systems that exhibit elevated electrical conductivity and high sodicity. Near-surface water at Sandhill Wetland exceeded water quality guidelines for three substances/properties (dissolved chloride, iron, and total alkalinity) in the most recent year of monitoring. The saline fen natural sites also exceeded water quality guidelines for the same chemical substances/properties, suggesting guideline exceedances are a norm for some natural wetland site types in the region. Of note, in each year of monitoring at Sandhill Wetland, dissolved organic compounds evaluated in sub- and near-surface water were below detection limits.

scholarly journals Innovative Solutions in Surface Water Quality Monitoring

2014 ◽  
Vol 10 ◽  
pp. 26-30 ◽  
Author(s):  
Damian Absalon ◽  
Marek Ruman ◽  
Magdalena Matysik ◽  
Krystyna Kozioł ◽  
Żaneta Polkowska
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Innovative Solutions

scholarly journals Monitoring surface water quality using social media in the context of citizen science

2017 ◽  
Vol 21 (2) ◽  
pp. 949-961 ◽  
Author(s):  
Hang Zheng ◽  
Yang Hong ◽  
Di Long ◽  
Hua Jing
Keyword(s):  
Water Quality ◽  
Social Media ◽  
Surface Water ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Future Research ◽  
Water Quality Data ◽  
Essential Information

Abstract. Surface water quality monitoring (SWQM) provides essential information for water environmental protection. However, SWQM is costly and limited in terms of equipment and sites. The global popularity of social media and intelligent mobile devices with GPS and photography functions allows citizens to monitor surface water quality. This study aims to propose a method for SWQM using social media platforms. Specifically, a WeChat-based application platform is built to collect water quality reports from volunteers, which have been proven valuable for water quality monitoring. The methods for data screening and volunteer recruitment are discussed based on the collected reports. The proposed methods provide a framework for collecting water quality data from citizens and offer a primary foundation for big data analysis in future research.

scholarly journals Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

2015 ◽  
Vol 41 (4) ◽  
pp. 96-103 ◽  
Author(s):  
Danijela Voza ◽  
Milovan Vukovic ◽  
Ljiljana Takic ◽  
Djordje Nikolic ◽  
Ivana Mladenovic-Ranisavljevic
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Danube River ◽  
Multivariate Techniques ◽  
Data Set ◽  
Political Issue

AbstractThe aim of this article is to evaluate the quality of the Danube River in its course through Serbia as well as to demonstrate the possibilities for using three statistical methods: Principal Component Analysis (PCA), Factor Analysis (FA) and Cluster Analysis (CA) in the surface water quality management. Given that the Danube is an important trans-boundary river, thorough water quality monitoring by sampling at different distances during shorter and longer periods of time is not only ecological, but also a political issue. Monitoring was carried out at monthly intervals from January to December 2011, at 17 sampling sites. The obtained data set was treated by multivariate techniques in order, firstly, to identify the similarities and differences between sampling periods and locations, secondly, to recognize variables that affect the temporal and spatial water quality changes and thirdly, to present the anthropogenic impact on water quality parameters.

IDENTIFICATION OF THE SOURCES GENERATING IMPACT ON THE WATER QUALITY OF THE EAST JIU BASIN

2018 ◽  
pp. 34-41
Author(s):  
Alexandru Simion ◽  
Maria Lazar
Keyword(s):  
Water Quality ◽  
Value Chain ◽  
Water Quality Index ◽  
Human Activities ◽  
Quality Index ◽  
Raw Materials ◽  
Negative Influence ◽  
Economic Activities ◽  
Negative Impacts

The main economic activity in the Jiu Valley is mining, which provides to the society an important content of mineral raw  materials required for the development and progress, representing  the main activity in producing the value chain. The majority of the  mining activities and other economic activities deployed along the  basin of the East Jiu generates both negative environmental impacts (more or less serious) and positive impacts such as those  related to employment, staff training, creating infrastructures etc. In  the most cases, the negative impacts of the human activities can  be much improved up to a point or even eliminated through the  remedial measures, particularly through environmental rehabilitation of the affected areas. But if a watercourse is strongly  affected by sediments generated by the human activity still on the  top side, the pollution will be  intensifed much more on the bottom  side with signifiant changes on the aquatic ecosystems and with an  impossibility of consumption and the use of the water resources by  the riparian population. The main objective of this paper consists of the identification and the description of all human activities  presented along the East Jiu and the analayses of the negative  influence exerted on the river water quality. To compare the water  quality of the East Jiu and monitoring its variations in time, it was  used the method water quality index (WQI), having the straight  purpose of aggregating individual indicators (expressed in physical units) in a unique water quality index.

Using a conductivity–alkalinity relationship as a tool to identify surface waters in reference condition across Canada

2018 ◽  
Vol 53 (4) ◽  
pp. 231-240
Author(s):  
C. L. Proulx ◽  
B. W. Kilgour ◽  
A. P. Francis ◽  
R. F. Bouwhuis ◽  
J. R. Hill
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Monitoring Network ◽  
Surface Water Quality ◽  
Water Quality Monitoring ◽  
Reference Condition ◽  
Quality Monitoring ◽  
Surveillance Program ◽  
Disturbed Condition ◽  
Time Period

Abstract The underlying natural relationship between conductivity and alkalinity was used to identify surface water quality monitoring sites that are in a ‘reference’ or minimally disturbed condition. Data from over 40,500 freshwater samples from 1,230 sites were combined for the time period of 2005–2015 from various federal, provincial, and joint federal–provincial/territorial freshwater monitoring programs (e.g., Freshwater Quality Monitoring and Surveillance Program, Ontario's Provincial Water Quality Monitoring Network). Of the samples, 30,347 provided conductivity and alkalinity data. Surface water samples with a measured conductivity that deviated (by more than 41 μS/cm) from the predicted conductivity calculated from the sample's alkalinity were deemed to be non-representative of a reference condition, while samples within 41 μS/cm of the predicted value were deemed representative of a reference condition. The 41 μS/cm cutoff value was determined using signal detection theory. The conductivity–alkalinity model was validated through a comparison with land cover data by demonstrating that samples identified as ‘reference’ were typically from catchments that had minimal anthropogenic disturbances. The proposed approach provides a rapid means of evaluating the reference condition of a watercourse, and of identifying data that provide an estimate of reference condition.

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