According to the Water Framework Directive 2000/60 EC, the river basin is the basic unit for integrated water management at the basin level. In this sense, the knowledge of the morphometric parameters of the river takes on special importance. Morphometric analysis helps in understanding the geo-hydrological characteristics of a river basin. Various authors point out that the morphometric analyses of a drainage watershed demonstrate the dynamic equilibrium that has been achieved due to the interaction between matter and energy. The analysis of morphometric parameters also facilitates and helps to understand the hydrological relations of the basin. This paper deals with the morphometric analysis of sub-basins in the Klina River basin which is located in the northeastern part of the Dukagjini depression. To determine the morphometric parameters in the Klina River basin, the digital relief model from the Advanced Land Observation Satellite (ALOS) platform with a resolution of 20 × 20 m and the ArcMap 10.5 software were used. The results reveal that the total number of streams is 753 of which 602 are 1^st order streams, 119 – 2^nd order, 23 – 3^rd order, 6 – 4^th order, 2 – 5^th order, and 1 – 6^th order streams. The mean bifurcation ratio is 3.81, drainage density is 1.52 km∙km^–2. The data and information presented in this study will be helpful and interesting in the plan of the management of Klina River basin which covers an area of 477 km² within which is estimated to live about 100,000 inhabitants.

The major impacts on aquatic ecosystems worldwide caused by land use lead to changes in their natural conditions and limitation of water use for various needs. This paper presents the results of the study of the physical and chemical parame-ters and macroinvertebrate assemblage in the White Drin River (or: the Drim River, Alb. the Drini i Bardhë River) basin, the largest in Kosovo. Macroinvertebrate sampled at 11 sites in the river resulted in 5946 collected benthic organisms, which in taxonomic terms belong to 12 orders and 51 families. Of the total number of organisms, 72.28% were Insects, 25.39% Amphipoda crustaceans and 2.33% were Annelide worms and Mollusk. The used biotic indices Biological Moni-toring Working Party (BMWP), Ephemeroptera, Plecoptera, and Trichoptera (EPT), average score per taxon (ASPT) and Stroud Water Research Center (SWRC) classify water quality in excellent category in the sampling site S1 near the source of the White Drin River, whereas in other sampling sites, as a result of pollution, water quality varies on category II–IV. The Pearson's correlation analyses shown that the physical and chemical parameters affect the water quality and the com-position of macroinvertebrates. Our results show that the parameters that adversely affect the BMWP, EPT and ASPT bio-tic indices as well as the Shannon–Wiener, Mergalef and Menhinik diversity indices are: pH, electrical conductivity (EC), total suspended solids (TSS), nitrates (NO3–) and chlorides (Cl–). We can conclude that the anthropogenic impact on White Drin basin affects the physical, chemical and biological parameters of the water therefore these parameters should be con-stantly included in Biomonitoring and Management plans for water resources in Kosovo.