Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Hydrology  /  Vol: 6 Par: 2 (2019)  /  Artículo
ARTÍCULO
TITULO

Geostatistical Distribution and Contamination Status of Heavy Metals in the Sediment of Perak River, Malaysia

Mohammed Abdus Salam    
Shujit Chandra Paul    
Farrah Izzaty Shaari    
Aweng Eh Rak    
Rozita Binti Ahmad and Wan Rashidah Kadir    

Resumen

Heavy metal pollution is one of the major environmental issues in recent decades owing to the rapid increase in urbanisation and industrialisation. Sediments usually act as sinks for heavy metals due to their complex physical and chemical adsorption mechanisms. In this study, heavy metals like lead (Pb), Zinc (Zn), Cadmium (Cd), Copper (Cu) and Iron (Fe) in the surface sediment from 15 location (upstream and downstream) on the Perak River, Malaysia were investigated by means of inductively coupled plasma optical emission spectroscopy (ICP-OES). The geostatistical prediction map showed the range of Pb, Zn, Cd, Cu and Fe concentration in upstream area was 14.56?27.0 µg/g, 20?51.27 µg/g, 1.51?3.0 µg/g, 6.6?19.12 µg/g and 20.24?56.58%, respectively, and in downstream areas was 27.6?60.76 µg/g, 49.04?160.5 µg/g, 2.77?4.02 µg/g, 9.82?59.99 µg/g and 31.34?39.5%, respectively. Based on the enrichment factor and geoaccumulation index, Cd was found to be the most dominant pollutant in the study area. Pollution load index, sediment quality guidelines and sediment environmental toxicity quotient data showed that the downstream sediment was more polluted than the upstream sediment in the Perak River. The multivariate analysis showed that Pb, Zn and Cu mainly originated from natural sources with minor contribution from human activities, whereas Fe and Cd originated from various industrial and agricultural activities along the studied area.

 Artículos similares

       
 
Lina Galinskaite, Alius Ulevicius, Vaidotas Valskys, Arunas Samas, Peter E. Busher and Gytautas Ignatavicius    
Vehicle collisions with animals pose serious issues in countries with well-developed highway networks. Both expanding wildlife populations and the development of urbanised areas reduce the potential contact distance between wildlife species and vehicles.... ver más

 
Waqas Ahmed, Khan Muhammad, Hylke Jan Glass, Snehamoy Chatterjee, Asif Khan and Abid Hussain    
Geostatistical estimation methods rely on experimental variograms that are mostly erratic, leading to subjective model fitting and assuming normal distribution during conditional simulations. In contrast, Machine Learning Algorithms (MLA) are (1) free of... ver más

 
Chuan-Zheng Yuan and Xiang-Rong Wang    
Industrial activities have raised widespread concerns about groundwater pollution and human health. Shanghai?s industrial land has been polluting the groundwater for more than 30 years; however, it is not clear whether it poses a risk to human health. Th... ver más
Revista: Water

 
Carolynne Hultquist, Zita Oravecz and Guido Cervone    
Citizen-led movements producing spatio-temporal big data are potential sources of useful information during hazards. Yet, the sampling of crowdsourced data is often opportunistic and the statistical variations in the datasets are not typically assessed. ... ver más

 
Moustafa El Baba, Prabin Kayastha, Marijke Huysmans and Florimond De Smedt    
The Gaza Strip is in a chronic state of water shortage and the coastal aquifer as the only freshwater source is increasingly depleted and polluted, especially by nitrate. Assessment of groundwater vulnerability to pollution is essential for adequate prot... ver más
Revista: Water