This study reports the spatio-temporal changes in water quality of Nullah Aik, tributary of the Chenab River, Pakistan. Stream water samples were collected at seven sampling sites on seasonal basis from September 2004 to April 2006 and were analyzed for 24 water quality parameters. Most significant parameters which contributed in spatio-temporal variations were assessed by statistical techniques such as Hierarchical Agglomerative Cluster Analysis (HACA), Factor Analysis/Principal Components Analysis (FA/PCA), and Discriminant Function Analysis (DFA). HACA identified three different classes of sites: Relatively Unimpaired, Impaired and Less Impaired Regions on the basis of similarity among different physicochemical characteristics and pollutant level between the sampling sites. DFA produced the best results for identification of main variables for temporal and spatial analysis and separated eight parameters (DO, hardness, sulphides, K, Fe, Pb, Cr and Zn) that accounted 89.7% of total variations of spatial analysis. Temporal analysis using DFA separated six parameters (E.C., TDS, salinity, hardness, chlorides and Pb) that showed more than 84.6% of total temporal variation. FA/PCA identified six significant factors (sources) which were responsible for major variations in water quality dataset of Nullah Aik. The results signify that parameters identified by statistical analyses were responsible for water quality change and suggest the possibility of industrial, municipal and agricultural runoff, parent rock material contamination. The results suggest dire need for proper management measures to restore the water quality of this tributary for a healthy and promising aquatic ecosystem and also highlights its importance for objective ecological policy and decision making process.

Concentration of heavy metals (lead (Pb), cadmium (Cd), chromium (Cr), and copper (Cu)) was determined in the liver, gills, kidneys, and muscles of eight edible fish species (Channa punctata, Cirrhinus reba, Labeo rohita, Heteropneustes fossilis, Mystus cavasius, Oreochromis niloticus, Puntius sophore, and Wallago attu) from upstream and downstream zones of the Nullah Aik and Palkhu tributaries of the River Chenab located in the Sialkot district known for its tanning industries worldwide. The pattern of metal accumulation in studied organs was in the order: Cr > Pb > Cu > Cd. Liver showed greater metal accumulation, followed by gills, kidneys, and muscles. Accumulation of Pb and Cr was significantly different in organs between upstream and downstream zones. Accumulation was greater in fish species dwelling downstream, indicating impairment of ambient stream water due to untreated discharge of industrial and municipal effluents into studied streams. Highest concentration of Pb and Cr and lowest of Cd was detected in H. fossilis whereas Cu showed higher concentration and Cr lowest concentration in P. sophore. In contrast, lower concentration of Pb and Cu was recorded in M. cavasius, O. niloticus, and W. attu. Mean concentrations of Cd, Cr, and Cu were higher in pre-monsoon compared to post-monsoon season. Measured concentrations of Pb, Cd, and Cr in muscles of species such as C. punctata, W. attu, L. rohita, P. sophore, and O. niloticus were above permissible limits of heavy metals for human consumption, indicating potential health risks. Therefore, these fish species from studied locations should be avoided for human diet.

Tannery-affected surface soils from 72 sampling sites from industrial area of Sialkot district, Pakistan, were collected and analyzed for nine physicochemical parameters, nine heavy metals, and four macro-nutrients. Most of the soils were poor in organic matter (0.11-2.98 %), basic in nature with pH (7.1-10.6) and electrical conductivity (1.2-17.9 mS/ cm). Mean concentration of total dissolved solids, Cl 1-, alkalinity, NO 3 1 -N, salinity, and PO 4 3-was 3,093 mg/L, 6,587, 3,929, 301.3, 10.3, and 1.7 mg/kg. The results showed that concentration of macro-nutrients was in the order: Na[Mg[K[Ca whereas heavy metals followed the order: Cr [Fe[Ni[Mn[Cu[Zn[Co[Pb[Cd. Factor analysis based on principal component analysis, cluster analysis, and correlation analysis identified contribution of metals from tannery effluents, agrochemicals, automobiles exhaust, and natural weathering processes. Tannery-affected soils were enriched with Cd followed by Cr, Pb, Ni, Cu, Co, Zn, and Mn. Geo-accumulation index (I geo ) classified the soil samples in unpolluted to moderately polluted categories. Metal pollution index provided better estimation of heavy metal pollution as compared to pollution load index. Ecological risk index showed high potential ecological risk associated with Cd and Cr with mean concentrations above respective average shale/ background values. The results are useful for heavy metals source identification, enrichment, risk assessment, and management of tannery-affected soils and can contribute to monitoring programs at regional levels.

BackgroundRecent outbreaks of cutaneous leishmaniasis make the disease a public health concern in Punjab, Pakistan. The knowledge of how the population perceives the disease and its vector is essential in order to design an effective management strategy, but such studies are rare in Pakistan.Methodology/Principal FindingsThe present study was based on a cross-sectional self-administered survey comprising 250 household samples collected from five localities including Bhawalpur, Multan, Jhang, Faisalabad and Lahore. The results revealed that the respondents had a poor knowledge of the vector and disease. Few of the respondents were aware about the identification of sand flies, their breeding place, biting time, transmission of leishmaniasis and control measures. Skin infection and sandflies as the main disease symptom and vector of the disease, respectively, were known to some of the respondents. Some believed that summer was the main peak incidence of the disease and it could be transmitted from man to man via contact. However, most of the respondents believed that the disease could be cured. Admission to hospitals, cleanliness and use of bed nets were the treatment measures for the disease in suspected patients, whereas some thought that the use of bed nets could be helpful in preventing leishmaniasis infection.Conclusions/SignificancePoor knowledge of the disease and its vector in the study population emphasize the need to initiate health education and awareness campaigns to minimize the risks of cutaneous leishmaniasis outbreaks in the future.

Human activities continue to affect our water quality; it remains a major problem worldwide (particularly concerning freshwater and human consumption). A critical water quality index (WQI) method has been used to determine the overall water quality status of surface water and groundwater systems globally since the 1960s. WQI follows four steps: parameter selection, sub-indices, establishing weights, and final index aggregation, which are addressed in this review. However, the WQI method is a prolonged process and applied to specific water quality parameters, i.e., water consumption (particular area and time) and other purposes. Therefore, this review discusses the WQI method in simple steps, for water quality assessment, based on two multi-criteria decision-making (MCDM) methods: (1) analytical hierarchical process (AHP); and (2) measuring attractiveness by a categorically based evaluation technique (MACBETH). MCDM methods can facilitate easy calculations, with less effort and great accuracy. Moreover, the uncertainty and eclipsing problems are also discussed—a challenge at every step of WQI development, particularly for parameter selection and establishing weights. This review will help provide water management authorities with useful knowledge pertaining to water usage or modification of existing indicators globally, and contribute to future WQI planning and studies for drinking, irrigation, domestic, and industrial purposes.

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Sustainable urbanization is a challenge to human beings in the modern era of technology. Cities all over the world are facing several problems due to urbanization and industrialization. Urban problems could be assessed through development of indices of urban sustainability on the basis of its three dimensions: environment, economics and social. The present study was conducted to identify indicators to develop indices for assessment of sustainability in some populated cities of Punjab. The study focused on the indicators based on environmental, economic and social development to develop a rational indicator system on the basis of secondary data collected from 2004 to 2014. A total of 40 indicators were identified to assess the urban sustainability progress in Lahore, Rawalpindi, Multan, Gujranwala and Faisalabad cities. The result of the sub-indices indicated that poor performance was evident in the environmental sector, rather than in the economic and social sectors. The cities scored between 0.27 and 0.58 in environmental dimensions, showing a decreasing trend from 2004 to 2014. The declining trend of indices was due to population influx, rapid urbanization, reduction in green areas, industrialization, high level of atmospheric and water pollutants. In case of the economic sector, an increasing trend was observed which indicates the gradual improvement in living standards of people. In the social dimensions of the indicator system, less variations were observed among the cities and ranged between 0.49 and 0.58. Overall, the results of the urban sustainability index showed score was ranges between 0.41 to 0.52. None of the Punjab cities attained the position as a sustainable city (0.75) Lahore (0.52) and Faisalabad (0.52) were ranked as moderately sustainable cities, whereas, Rawalpindi (0.48), Gujranwala (0.47) and Multan (0.41) were ranked as weak sustainable cities. The study highlighted that the urban sustainability indicator system could be useful to determine the existing sustainability in cities of the developing countries for better resource management practices.