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Integrated geospatial assessment and geovisualization of water and sediment quality in an artificial lake. Insights from Sferk, Klina, Kosovo

Demaku Skender, Jusufi Kaltrina, Maliqi Edon, Shabani Enis

Environment Protection Engineering

2024

Vol. 50, nr 3

131--175

This study investigates the analysis of heavy metal content, as well as the physical and chemical properties of water and sediment in the artificial lake situated in Sferk, Klina, Kosovo. Sampling and analysis were conducted during the autumn of 2023. The inductively coupled plasma-optical emission spectrometry (ICP-OES) technique was employed to measure the levels of heavy metals. The contamination factors (CF) were calculated to evaluate the degree of heavy metal pollution. At the same time, the spatial interpolation technique (spatial resolution 1 m) in QGIS software was developed to spatially represent the distribution of heavy metals and other parameters across the study area. The results for water and sediment samples were compared with the WHO and EPA standards. The findings indicate significant variations in heavy metal concentrations, highlighting potential sources of contamination. CF calculations offer insights into pollution levels, assisting in identifying priority areas for remediation efforts, particularly in water samples. The comprehensive assessment provides valuable insights into the status of water and sediment quality in the artificial lake of Sferk, contributing to the under-standing and management of environmental pollution and its impacts.

Soil Erosion Estimation Using an Empirical Model, Hypsometric Integral and Geo-Information Science – A Case Study

Maliqi Edon, Kumar Nirmal, Latifi Loresa, Singh Sudhir Kumar

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 4

62--72

An approach that integrates the Revised Universal Soil Loss Equation (RUSLE) model and Geographic Information System (GIS) techniques was used to determine the soil erosion vulnerability of a forested mountainous watershed. The spatial pattern of annual soil loss rate was obtained by integrating geo-environmental variables in a raster data format based geoinformatics methods and tools. Thematic layers including rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C), and conservation practice (P) factors were computed to determine their effects on average annual soil loss in the Mitrovica city. The serial thematic map of annual soil erosion shows a maximum soil loss of 112.61 ton·ha-1·y-1 with a close relation to grass land areas, degraded forests and deciduous forests on the steep side-slopes (with high LS). The geographic age of the region shown by the hypsometric analysis was mature to old stage. The serial erosion maps compiled with the RUSLE model and GIS can serve as effective inputs in deriving strategies for land planning and management in terms of environment concerns.