Multivariate statistical techniques including correlation, principal component analysis (PCA),
and cluster analysis (CA) were applied in this study to assess the groundwater …

This research concentrated on the Tigris River water quality monitoring information. Some
multivariate statistical techniques were applied like basic Ingredient (PC) test, discriminant …

The objective of this study was to investigate the long-term cultivation effects on soil
properties changes in different geomorphic surfaces of an arid region in eastern Iran …

With the use of different multivariate statistical analysis methods, spatio-temporal fluctuations
in the water parameters of Tiru reservoir located at the Marathwada drought-prone area of …

Coastal lagoon ecosystems are vulnerable to eutrophication, which leads to the
accumulation of nutrients from the surrounding watershed over the long term. However …

Groundwater quality is a very important issue, especially in the agricultural sector, where it is
used extensively. Sodium Absorption Ratio (SAR) is an important parameter in water quality …

The purpose of the present research was Cadmium (Cd) and Lead (Pb) pollution
assessment and monitoring the spatial distribution of soil contamination around the …

Evaluation of water quality is important for the management of water resources. The current
study is focused on the interpretation of the water quality monitoring data of the Tigris River …

River water quality is assessed by collecting samples from rivers. During this process, a
significant amount of data is generated, which often results in challenges in interpreting the …

Groundwater is one of the most important sources of drinking water. Since the quality of
water directly influences consumers' health, it is essential to assess the quality of water and …