Balochistan is a semi-arid region. The assessment of water quality is very important, as the majority of people depend on groundwater for drinking purposes. The present study involves the quality assessment and mapping of drinking water in the five selected major coal mining sites in the four districts of Balochistan. A total of 50 samples were collected from these five coal mining sites in two seasons: i.e., summer and winter. A physicochemical analysis was carried out for groundwater samples: i.e., pH, electrical conductivity (EC), total dissolved solid (TDS), CO3, HCO3-, Cl-, Ca2+, Mg2+, Na+, K+, Cd, Cr, Co, Cu, Fe, Pb, Mn, Hg, Ni, and Zn. Thematic maps were used to depict the spatial distribution of significant variables and were compared with WHO standards (2011) during both seasons. The majority of parameters crossed the safe permissible limit of WHO standards. The water quality index (WQI) was calculated for the whole monitoring data obtained from both seasons from the perspective of drinking water in each of the selected sites. Moreover, a principle component analysis (PCA) and correlation matrix was carried out for the data analysis in order to identify the source of pollution and correlation among the variables. The results suggested that the overall quality of water from the selected coal mining sites deteriorated due to the overexploitation of coal mines and mining activity. The current investigation provides a comprehensive picture of the current status of water quality in and around the selected coal mines of Balochistan.
Emission of methane from the underground coalmine is currently a global concern. The study aims to quantify the emission of potent toxic gases along with atmospheric dust in the suburbs of underground coal mines, in the field of Balochistan Pakistan. Related variables selected for quality check included particulate matter (i.e. PM10), CH4, O2, CO and elemental composition of PM10 (i.e. Cr, Cd, Co, Fe, Cu, Pb, Ni and Mn). A seasonal comparative study was designed. Widely applied GIS tool (i.e.IDW) was incorporated. Strengthening data with correlation matrix analysis apprehended interrelationship among the variables. Air quality variables were found above the safe allowable limits set by various standards (WHO, EPA, NIOSH, U.S National Ambient Air Concentration). No significant seasonal variation was recorded; but the pollutant concentration remained elevated during both seasons. Pearson correlation matrix analysis showed that CH4 had a strong negative correlation with O2. Moreover, air probed inside the underground coalmine showed a deteriorated status. This alarming status is primarily attributed to all the mining activities and secondarily to vehicular emissions, mine fire and poor ventilation system. This study will provide a baseline data for concerned authorities for planning management, pollutant prevention and strategies for environmental monitoring in future.
Classification and ordination of vegetation of Mughal Garden, Wah, Pakistan was done along with assessment of diversity status. A total of 45 species were recorded in vegetation survey belonging to 24 families with Asteraceae and Poaceae being the largest families. Herbs dominated the flora of Wah Garden by 44.4%, shrubs 15.5%, trees 13.3%, grasses 11.1%, creeping herbs 11.1%, ferns 2.2% and aquatic herbs 2.2%. About 35.5% species were annuals, 28.8% perennials, 13.3% annuals or perennials, 8.8% annuals or biennials, 8.8% deciduous, 2.2% coniferous and evergreen species. In case of life form of species, Therophytes and Megaphanerophytes were the most prevalent among species indirect ordination techniques TWINSPAN and DCA were employed that produced two major groups which were further divided into five communities and three major groups, respectively. Shannon-Wiener diversity index, Simpson Index of diversity and Hills N1 and N2 diversity numbers were calculated and verified by data attribute plot through DCA suggesting reduced species diversity as Shannon-Wiener diversity index ranged between 0 and 1.67 due to increased anthropogenic activity. The outcome of this research will be useful in providing information on identification of species that are present, their distribution patterns, and classification which would help in management and conservation of native vegetation in future.
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