Combined statistical analysis of water quality for determination of relationships between parameters: case study of Akkopru Stream, Van/Turkey


Turan A., Aldemir A., HAPOĞLU H.

DESALINATION AND WATER TREATMENT, vol.247, pp.244-257, 2022 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 247
  • Publication Date: 2022
  • Doi Number: 10.5004/dwt.2022.28047
  • Journal Name: DESALINATION AND WATER TREATMENT
  • Journal Indexes: Science Citation Index Expanded, Scopus, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Environment Index, Geobase, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.244-257
  • Keywords: Akkopru Stream, Water quality, Statistical analysis, Correlation, Regression, SURFACE-WATER, RIVER-BASIN, TEMPORAL VARIATIONS, VAN, DISTRICT, INDEX

Abstract

Today, water is affected negatively in terms of its characteristics and quality due to many factors. Necessary measures should be taken to control environmental pollution by analyzing the conditions and parameters that cause pollution and monitoring the water quality in water bodies such as lakes, streams, rivers and ponds. Akkopru Stream is one of the rivers flowing into Lake Van and it has great importance within the borders of Van/Turkey. The data in this study were used to perform water quality analysis based on the physicochemical parameters obtained from Akkopru Stream. A total of 22 water quality parameters were used to determine water quality at the discharge into Lake Van. Evaluation of these parameters was made according to the regulation about water pollution control (Turkey). As a result, Akkopru Stream has Class I water quality in terms of seasonal conditions and water parameters. Among the parametric analysis methods, trend distribution, normality, correlation, matrix table, regression and normal distribution of the data set were examined and the relationships between parameters were interpreted statistically. According to the results, most of the parameters were within the normal range, solid matter and hardness effects were correlated, and matrix relations and regression equations were related to other parameters.