Study on hydrochemical characterization and annual changes of surface water quality for agricultural and drinking purposes in semi-arid area

Abstract

River water can be known as one of the source of water supply in arid and semi-arid regions. One of the important purposes of hydrology is to ensure water supply in accordance with the quality criteria for agricultural, industrial, and drinking water uses. The main objective of this study was to assess the annual changes of water quality in terms of suitability for drinking and agricultural uses in Givdari River, Rafsanjan, Iran. For this purpose, a dataset of monthly averaged values of water quality variables for the Givdari River was prepared for the years of 2001-2010. Result showed that based on the EC and TDS values, the use of river water for irrigation is suitable and acceptable. The pH values were suitable for agriculture and drinking uses in all the studied years. The results also indicated that hazard state with respect to Mg had normal status. According to the correlation coefficient (r), values there are statistically significant (a = 0.01) positive correlations between Cl and Na (r = 0.981), Cl and Mg (r = 0.894), and Cl and SO 4 (r = 0.872). The TDS had good significant correlation with EC (r = 0.999) and all cations and SO 4 and HCO 3 anions at the 0.01 level. The Total Hardness (TH) had good statistically significant correlation with all cations and some anions such as Cl, and HCO 3. According to the hydrochemistry diagrams, the main water types during 10 years based on the frequency were NaCl and NaHCO 3 .

Application of Irrigation Water Quality Indices and Multivariate Statistical Techniques for Surface Water Quality Assessments in the Northern Nile Delta, Egypt

“…Agriculture is a significant sector in Egypt, contributing approximately 24.5% to the gross domestic production of the country, and constitutes the main occupation in the study area [4,5]. However, in this study area, excessive agricultural practices, geogenic pollution, the extreme increases in population and increased urbanisation have placed contentious pressure on surface water resources and have led to potentially negative impacts on the physicochemical characteristics of water and water quality [6,7]. Preliminary knowledge on water types, different geochemical processes, and water classification for irrigation is provided by surface water chemistry based on hydrochemical parameters.…”

The assessment of the amount of water pollution and its suitability for drinking of the Tyśmienica River Basin, Poland

“…The values of chemical parameters of water could vary depending on the temporal and spatial situation. The growth in phosphate concentration is correlated with non-scheduled waste disposal, agricultural runoff and the use of pesticides and fertilizers that cause surface water pollution (Mirzaei et al, 2016 ; Sun et al, 2016 ; Grzywna & Bronowicka-Mielniczuk, 2020 ). It has been found in the examined water of the current study that the concentrations of arsenic, barium, boron, zinc, copper, aluminium, molybdenum and selenium were less than 0.01 mg dm −3 .…”

Assessing the Efficiency of a Drinking Water Treatment Plant Using Statistical Methods and Quality Indices

“…An extended analysis of the factors affecting the spatial variation in stream water composition is presented in [ 9 ], emphasizing natural causes. The surface water quality and the pollutants’ transport can be assessed utilizing statistical methods [ 10 , 11 , 12 , 13 , 14 ] and water quality indicators [ 15 , 16 , 17 ]. Modeling and forecasting water quality and the parameters that influence it has been performed recently by Artificial Intelligence methods (Fuzzy techniques, ANFIS, C&RT) and hybrid method [ 14 , 18 , 19 , 20 ].…”