River sediments’ monitoring: impact of tannery discharges

2014 ◽  
Vol 25 (4) ◽  
pp. 379-406 ◽  
Author(s):  
Marco Ostoich ◽  
Marco Carcereri ◽  
Jvan Barbaro

Purpose – The tannery industry impacts strongly on water bodies due to the presence of chemical substances, such as chlorides, sulphates, chromium and other pollutants. This study has been carried out with a view to enhance the environmental compatibility of the Arzignano tannery district (northern Italy) which is the largest in Italy, by improving the quality of the Fratta-Gorzone River. Sediment quality, according to the driving forces-pressure-state-impact-response (DPSIR) scheme, has been developed as a significant impact indicator to be applied at basin level. The purpose of this paper is to discuss the above issues. Design/methodology/approach – Data were produced during institutional monitoring and control activities carried out by ARPAV (Veneto Region Environmental Prevention and Protection Agency) according to official methods. To define the environmental impacts on the river basin, a statistical assessment was performed on water and sediment quality data to establish the degree of correlation for the main pollutants along the river stem. Findings – In the basin considered, sediment quality presents high levels of contamination from heavy metals – in particular chromium (Cr) (III) – as well as organic pollutants. Investigation of the pressure sources revealed that the discharge from the Arzignano tannery district is the main source of Cr (III), according to background studies performed in the same area. Practical implications – The quality of river sediments must be improved in order to avoid the re-suspension/solubility of pollutants; dredged materials with high polluting substances must be managed with specific precautions in order to safeguard the environment. Originality/value – The river studied is currently the only significant water body in which sediment monitoring has been performed in the Veneto Region (Italy) since 2002. This study presents issues linked to the characterization of river sediment and the correlation between sediment quality and water pollution and prior and current pressure sources.

2020 ◽  
Author(s):  
K. Y. Lim ◽  
N. A. Zakaria ◽  
K. Y. Foo

Abstract The present work is aimed at assessing the aftermath effects of the 2014 flood tragedy on the distribution, pollution status and ecological risks of the heavy metals deposited in the surface river sediment. A series of environmental pollution indexes, specifically the enrichment factor (EF), geo-accumulation index (Igeo), contamination factor (CF), modified degree of contamination (mCd), pollution load index (PLI), potential ecological risk index (PERI) and sediment quality guidelines (SQGs) have been adopted. Results revealed that the freshly deposited sediments collected soon after the flood event were dominated by Cu, Fe, Pb, Ni, Zn, Cr and Cd, with the average concentrations of 38.74, 16,892, 17.71, 4.65, 29.22, 42.36 and 0.29 mg/kg, respectively. According to the heavy metal pollution indexes, Pahang River sediments were moderately to severely contaminated with Pb, Ni, Cu, Zn and Cr, while Cd with the highest risk of 91.09 was the predominant element that illustrated an aesthetic ecological risk to the water body after the tragic flood event. The findings highlighted a critical deterioration of the heavy metals content, driven by the catastrophic flood event, which has drastically altered their geochemical cycles, sedimentary pollution status and biochemical balance of the river's environment.


2019 ◽  
Vol 32 (1) ◽  
pp. 108-119 ◽  
Author(s):  
Mehrdad Farzandipour ◽  
Mahtab Karami ◽  
Mohsen Arbabi ◽  
Sakine Abbasi Moghadam

Purpose Data comprise one of the key resources currently used in organizations. High-quality data are those that are appropriate for use by the customer. The quality of data is a key factor in determining the level of healthcare in hospitals, and its improvement leads to an improved quality of health and treatment and ultimately increases patient satisfaction. The purpose of this paper is to assess the quality of emergency patients’ information in a hospital information system. Design/methodology/approach This cross-sectional study was conducted on 385 randomly selected records of patients admitted to the emergency department of Shahid Beheshti Hospital in Kashan, Iran, in 2016. Data on five dimensions of quality, including accuracy, accessibility, timeliness, completeness and definition, were collected using a researcher-made checklist and were then analyzed in SPSS. The results are presented using descriptive statistics, such as frequency distribution and percentage. Findings The overall quality of emergency patients’ information in the hospital information system was 86 percent, and the dimensions of quality scored 87.7 percent for accuracy, 86.8 percent for completeness, 83.9 percent for timeliness, 79 percent for definition and 62.1 percent for accessibility. Originality/value Increasing the quality of patient information at emergency departments can lead to improvements in the timely diagnosis and management of diseases and patient and personnel satisfaction, and reduce hospital costs.


Heavy metals are easily adsorbed to sediments, which can act as a sink and secondary source of these contaminants in water and aquatic biota. The study aimed to assess the potential impact of industrial effluents from Saclux Paint Industry on the recipient sediment quality of Nkoho River in Abia state. Samples were taken at the effluent discharged point, upstream and downstream of the discharge point and geo-referenced using Garmin 76CSx Global Positioning system (GPS). Results of the heavy metal concentration of the receiving water body were compared with that of the effluent. Iron (Fe), Zinc (Zn), Manganese (Mn), Cadmium (Cd), Nickel (Ni), Lead (Pb), Chromium (Cr) and Copper (Cu)) in the sediment and effluent were estimated using Atomic Absorption Spectrophotometer (AAS). The results show that Lead was higher (0.15 – 0.23 mg/kg) in the polluted water sediments than in the control water sediment (0.12 – 0.17 mg/l). In all, Manganese (Mn), Cadmium (Cd), Chromium (Cr), Copper (Cu), and Nickel (Ni) had values which were higher in the corresponding sediments.. The resulting data were subjected to Analysis of Variance (ANOVA) and it shows that there were variations in the quality characteristics of the effluent in the different sampling time (September, October and November) as well as in the quality characteristics of the river water samples at the different sampling points, the paint effluent showed significant variations in its quality over time. In conclusion, it was observed that the poor quality of the water occasioned by the further deterioration by the entrance of the paint industry effluents, confer potentials of health hazards to users of the water.


2017 ◽  
Vol 28 (4) ◽  
pp. 566-578 ◽  
Author(s):  
Karen Tavares Zambrano ◽  
Cristiano Poleto ◽  
Jefferson Nascimento Oliveira

Purpose This study presents a comparative analysis of water quality data in an urban micro watershed to study the magnitude of impacts on the water quality parameters over the last decade. The purpose of this paper is to evaluate the degree of deterioration using the water quality index. Design/methodology/approach Rapid urban growth without proper land use and occupation planning results in the overload of urban water resources. Therefore, a literature review was conducted on the research subject published in the dissertation databases of the Engineering Faculty of Ilha Solteira, which resulted in the selection of two dissertations on water quality in the Ipê Stream, Ilha Solteira – SP, Brazil. The results will be evaluated according to the Brazilian laws and regulations in force. Findings This study shows that pollution and degradation in the stream intensified during the study period, with the most impacted areas within the urban perimeter. Practical implications The increasing impacts underscore the need for efficient measures such as implementation of retention reservoirs, elimination of clandestine sewage connections and restoration of riparian forests. Originality/value This study highlights the need to monitor the water quality of streams in order to establish preventive and mitigating measures to avert the growing environmental impacts and to ensure quality water for future generations.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subashini Suresh ◽  
Suresh Renukappa ◽  
Abdul-Rashid Abdul-Aziz ◽  
Yogeswary Paloo ◽  
Haddy Jallow

PurposeA smart city is a city that functions in a sustainable and intelligent way, by integrating all of its infrastructures and services in a cohesive way using intelligent devices for monitoring and control, to ensure efficiency and better quality of life for its citizens. As other countries globally, the UK is keen on economic development and investment in smart-city missions to create interest in monetary environment and inward investment. This paper aims to explore the driving forces of smart road transport transformation and implementation in the UK.Design/methodology/approachThe study involved interviews with 16 professionals from the UK road transport sector. A semi-structured interview technique was used to collect experts' perception, which was then examined using content analysis.FindingsThe results of the study revealed that the technological advancement is a key driver. The main challenges faced during the implementation of smart-city elements in the UK road network are lack of investment, maintenance, state of readiness and the awareness of the smart road transport concept. The study concludes that an understanding of the concept of smart cities from a road transport perspective is very important to create awareness of the benefits and the way it works. A wider collaboration between every sector is crucial to create a successful smart city.Originality/valueThe study contributes to the field of digitalisation of road transport sector. This paper reveals the key driving forces of smart road transport transformation, the current status of smart road transport implementation in the UK and challenges of the smart road transport development in the UK.


Minerals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 688
Author(s):  
Saravanan ◽  
Desmet ◽  
Neelakanta Pillai Kanniperumal ◽  
Ramasamy ◽  
Shumskikh ◽  
...  

An intensive surface sediment survey was carried out over 24 locations from the upstream to downstream sections of two large rivers (Adyar and Cooum) in Chennai (India) during the February dry season of 2015. Trace element concentrations were assessed on a <63 µm fraction using the Geoaccumulation Index (Igeo) and the newly proposed Geochemical Urban Footprint Index (GUFI), which can be performed to determine the pollution status of any megacity river influenced by urban development. The sediment quality of Chennai’s rivers was also compared to worldwide megacity pollution using sediment quality guidelines (SQGs), and a new megacity pollution ranking was determined. The Igeo results indicate that the Chennai rivers studied are strongly to extremely polluted regarding trace element content of sediment. Silver (Ag), Cadmium (Cd) and Mercury (Hg) are the most significant tracers of urban contamination. Chromium (Cr) concentrations show an industrial contamination gradient in relation to levels of other trace elements (As, Cu, Ni, Pb, and Zn) at the Chennai megacity scale. The GUFI ranges from moderate to extreme contamination, particularly in the downstream stretches of the two rivers. This spatial trend is related to various point sources and identified at specific sampling stations, with a lack of identifiable buffer zones. According to the worldwide comparison of megacity pollution, Chennai is ranked in fifth position. The present position can be attributed to a number of explanations: a population explosion associated with the unplanned growth of the city and non-controlled point sources of pollution in Chennai’s waterways.


2021 ◽  
Vol 10 (1) ◽  
pp. 1-19
Author(s):  
Abdullah Al Mamun ◽  
Protima Sarker ◽  
Md. Shiblur Rahaman ◽  
Mohammad Mahbub Kabir ◽  
Masahiro Maruo

The Dhaleswari river is considered as one of the most important rivers of Bangladesh due to its geographical location and ecological services. The present study attempts to evaluate the degree of heavy metal pollution, contamination, and accumulative behavior in  the sediment of the Dhaleswari river. The sediment samples were collected from fifteen different locations of the Dhaleswari river. Heavy metals were analyzed using the Flame Atomic Spectrophotometer (FAAS). The mean concentrations of Zn, Cu, Cr, Pb and Cd were 131.9, 48.89, 43.16, 33.23 and 0.37 mgkg-1, respectively. According to the United States Environmental Protection Agency (USEPA) Sediment Quality Guideline, the sediment of most of the locations were not polluted for Pb and Cd. But S-11 location for Cd (0.8 mg kg-1) was highly polluted. For Cr, Cu and Zn, maximum locations were moderately polluted. Although the geo-accumulation index (Igeo) values of Dhaleswari river sediments showed almost no severe contamination for most of the sampling locations, the pollution load index (PLI) values showed that most of the sampling sites were contaminated for all heavy metals tested. Moreover, for all measured heavy metals, the mean Contamination Factor (CF) values indicated moderate pollution, except for Cr, which suggested low pollution. The Pearson’s correlation coefficient matrix among the selected heavy metals of Dhaleswari river sediment showed no significant correlation among each other. Therefore, regular monitoring of the heavy metal concentration of the Dhaleshwari river sediment from different location is necessary to identify the sources of pollution so that proper initiative could be taken to prevent heavy metal pollution.


2017 ◽  
Vol 5 (2) ◽  
pp. 109-112
Author(s):  
Noratikah Kamal Baharin ◽  
Noorkhalilie Che Abd Aziz ◽  
Faisal Mohamad ◽  
Suganthi Appalasamy

Extraction of pure genomic DNA from microbes isolated from river sediments often hindered byco-isolated carryovers from the reagents used which reduces the yield and quality of DNA.Existing methods were lengthy, expensive and does not result in high yield of genomic DNA inshort time. This study describes a rapid and inexpensive DNA extraction method that involvedminimal purification step without phenol or other carcinogenic reagents. The microbial DNAextraction steps also does not require the use of special laboratory equipment. This method usesCetyltrimethylammonium bromide (CTAB) followed by ethanol based purification steps andwithin one hour the extraction of microbial DNA could be completed. The extracted genomicDNA from microbes isolated from river sediment of Sungai Kelantan, Malaysia using the methoddescribed in this study is of quality suitable for other downstream researches such asmetagenomics sequencing.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mateusz Tomal

Purpose This study aims to identify clusters amongst the county housing markets in Poland, taking into account the criteria of size and quality of the housing stock, as well as price level. In addition, this work is intended to detect the socio-economic factors driving the cluster formation. Design/methodology/approach To group the studied housing markets into homogeneous clusters, this analysis uses a proprietary algorithm based on taxonomic and k-means++ methods. In turn, the generalised ordered logit (gologit) model was used to explore factors influencing the cluster formation. Findings The results obtained revealed that Polish county housing markets can be classified into three or four homogeneous clusters in terms of the size and quality of the housing stock and price level. Furthermore, the results of the estimation of the gologit models indicated that population density, number of business entities and the level of crime mainly determine the membership of a given housing market in a given cluster. Originality/value In contrast to previous studies, this is the first to examine the existence of homogeneous clusters amongst the county housing markets in Poland, taking into account the criteria of size and quality of the housing stock, as well as price level simultaneously. Moreover, this work is the first to identify the driving forces behind the formation of clusters amongst the surveyed housing markets.


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