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Showing 3 results for Water Quality
Investigating the amounts of solutes and chemical elements found in the sources Drinking water in Khorramabad city
Sayad Asghari Saraskanrood, Zeynab Dolatshahi,
Volume 18, Issue 50 (6-2018)
Abstract
The purpose of this research is to evaluate the quality of wine in Khorramabad city as a major issue in public health and health management of citizens. To perform this research, data on the chemical element of 23 wells and fountains in Khorramabad County during the period of 2002 to 2013 were presented in the form of a series of elements: fluorine (F), calcium (Ca), magnesium (Mg), potassium (K) The ArcGIS software and the algebraic or deterministic internalization methods, geology, IDW method, Kriging method and splint method were used for mapping and drawing maps. To assess the chemical quality of the drinking water element, standards were used: the National Standard, World Health Organization (WHO) and the United States Environmental Organization (EPA) as an indicator of pollution. The results showed that the amount of calcium (Ca) in all seasons and in all sources is lower than the national standards (WHO) and (EPA) standards, but in some sources higher than the standard desirable standard. The amount of fluorine (F) only in the spring and summer is higher than the standard standard (EPA) in some wells, but in winter and fall in all wells and springs above the standard desirable standard (EPA) is. And the amount of potassium element (K) in any of the seasons and in any of the wells and springs is higher than the desirable and desirable national standard, WHO and EPA, as well as a handful of magnesium (Mg) in none of the water sources studied It has not been higher than the national standard, (WHO) and (EPA).

Investigation of the effect of some geomorphologic features of Joghatai mountains on water quality changes in terms of chromite
Dr Ali Akbar Shayan Yeganeh, Mrs Mina Firoz Yazdi, Dr Javad Jamalabadi,
Volume 21, Issue 61 (6-2021)
Abstract
Water is one of the most vital human needs. Chromium is one of the heavy metals that causes water pollution in different regions. The studied area is Joghatai Mountains and Davarzan, Khoshab, Joghatai, Joveyn and Sabzevar plains of Razavi Khorasan Province. This research has studied, analyzed water pollution with the element of chromium as well as the impact of lithology mountains Joghatai, on the quality of water in the region from the point of view of chromit. In this research, 13 samples were collected and tested by atomic spectrometer method.To check the amount of chromium present in them by comparing the findings with standard limits. The results of this study show that the amount of chromium in the selected water sources varies from 1.2 to 1.3 mg / L. Geochemical samples vary from 210 ppm to 4700 ppm. The lithology of the region especially the chromium mines has affected the quality of water but the density of faults and fans did not affect the amount of dissolved chromite. The effect of the slope of the geological layers is positive and the role of acidity in the pollution is poor. Finally, the amount of chromium in some samples is higher than the standard limit and should be considered by the custodians.
Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
Msc Taraneh Mirgheidari, Dr Behzad Rayegani, Dr Javad Bodagh-Jamali,
Volume 22, Issue 65 (6-2022)
Abstract
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavy­metals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD021km, MOD091km and level2 images of chlorophyll-a and SST of MODIS sensor were used after preprocessing operations. Also In-situ data were collected Simultaneously with the capture of satellite images in August 2014. Then, the relationships between the water quality parameters and MODIS data, with (R2) from 0.59 to 0.94 and (RMSE) from 0.07 to 0.1 were obtained. Next the images of the MODIS sensor from 2015 to 2017 were prepared and the models were applied to them, then the layers were standardized by fuzzy logic. Also time series of SST data from 2003 to 2017 were prepared and for each month the average pixel values were calculated and based on this, from 2015 to 2017, the variation of this parameter was standardized. Finally, an effective index for assessing the quality of coastal waters was provided by time series of satellite images and the waters of Assaluyeh port were zoned. The results showed that the water quality in 2015 and 2016 has shifted from poor to very ­­poor status in 2017. Based on the results, with the development of a proposed index, in future studies a continuous assessment of environmental monitoring is possible.
 
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