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Abrupt changes in climatic conditions, exploitation of natural resources, and land degradation exacerbate soil erosion. This study provides a comprehensive assessment of soil erosion dynamics in Pakistan for 2005 and 2015 at 1 km 2 spatial resolution using six influencing factors: rainfall erosivity (R), soil erodibility (K), slope-length (L), slopesteepness (S), cover management (C), and conservation practice (P). The wellaccepted revised universal soil loss equation (RUSLE) was implemented to estimate soil erosion. The soil erosion maps were categorized into four classes: low (<1), medium (1-5), high (5-20), and very high (>20)and transitions among these classes were determined by applying the change matrix method to assess soil erosion (ton ha -1 yr -1 ) changes from 2005 to 2015. Furthermore, spatial patterns and soil erosion dynamics were evaluated for seven administrative units of Pakistan to examine conservation efforts and ecosystem services. Major findings of this study indicate, that at the national scale, an estimated soil erosion of 1.79 ± 11.52 ton ha -1 yr -1 in 2005, which increased to 2.47 ± 18.14 ton ha -1 yr -1 in 2015. This intensification of soil erosion is coupled with land cover and land use changes (LCLUC) due to population expansion, infrastructural development, and exploitation of natural resources. This study's analytical framework and outcomes could be used for developing effective conservation policies to control soil erosion at various spatial scales in Pakistan.

The main purpose of this study was to analyze and evaluate the impacts of industrial noise pollution onhearing of workers in Gujranwala. Noise pollution levels were measured at fifty locations with the help of sound levelmeter, which was placed at a height above 1.2 meters from the ground. Two hundred workers were interviewed throughquestionnaire method. Different statistical tests correlation and chi-square were applied to analyze the noise pollutionlevel in Gujranwala city. Impacts of industrial noise pollution on hearing of workers were shown in different mapsusing interpolation and buffers. The present study concluded that noise pollution levels were exceeding the WHOpermissible limit of noise pollution at all sample locations. Workers of factories were suffering from annoyance,hypertension, irritation, interference with speech communication and sleep disturbance. Thus, it is necessary to possessa hearing discussion program in factories. One of its main parts is education to raise the consciousness of workers aboutnoise risks and techniques of prevention. Lastly, the issues of noise annoyance should be included in all future studieson the usage of hearing protection devices.

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The present study was an attempt to assess the surface and ground water quality for irrigation suitability in Rechna Doab. Irrigation water quality at canals and tube well water were analyzed by physicochemical parameters including pH, Electric Conductivity (EC), important cations such as Calcium (Ca2+) Magnesium (Mg2+), Potassium (K+), Sodium (Na+), important anions such as Chloride (Cl-), Bicarbonate (HCO3-), Sulphate (SO42-), three heavy metals including Zinc (Zn), Nickel (Ni) and Copper (Cu). Twelve water samples were collected from the main canals (Lower Gogera canal, Jhang branch canal and Rakh branch canal) while fifty water samples were collected from the tube wells. Statistically, data were analyzed by generating correlation coefficients. Canal water quality parameters i.e. Sodium Adsorption Ratio (SAR), Magnesium Adsorption Ratio (MAR), Sodium Percentage (Na %), Kelly Ratio (KR), Soluble Sodium Percentage (SSP), Residual Sodium Bicarbonate (RSBC), Permeability Index (PI) and Potential Salinity (PS) with their mean values 0.16,38.18, 8.03, 0.08, 10.17, 0.08, 28.34 and 0.024 respectively were calculated. Piper and Durov diagrammatic representations provided the suitability of the canal water regarding ionic composition. Results revealed that the status of the canal water was fit for agriculture. On the contrary, the data about Electric Conductivity (EC), Sodium Adsorption Ratio (SAR) and Residual Sodium Carbonate (RSC) of tube well water (with their maximum values 4.80, 29.65 and 13.60, respectively) was exceeding the FAO limits owing of sodium hazards. Thus, the scenario of groundwater is alarming due to unfit status of tube well water regarding irrigation purposes. Out of total 50 water samples of tube wells, 11 samples were found to be fit. While 39 samples were unfit for crop irrigation. Geo-statistical analysis was performed by using Inverse Distance Weighted (IDW) technique created in Arc map.

In recent times, many parts of the world are experiencing drastic levels of air pollution, which includessmog, the mixture of fog and smoke, polluted air formed by human activities like burning of coal, excessive use ofvehicles and many others. During November 2016, Lahore city also experienced the smog due to increased level of airpollutants. In earlier studies, very limited research work has been done related to smog, therefore, this research is aimedto study the pattern of smog in Lahore and its impact on visibility through remote sensing and GIS. Satellite images ofMODIS and Landsat OLI, of November, 2016 is used to study the pattern of smog, whereas the visibility data wasacquired from Pakistan Meteorological Department (PMD). For the processing and analysis of data ERDAS IMAGINE14 and ArcGIS 10.1 software were used. The findings of this research reveal that the dense smog cover on 2nd, 3rd,and 4th November 2016 leads to the considerable reduction in visibility. As on 2nd November’16, it was only 111.6meters (m) while during bright days it was recorded more than 300 m or 400 m.

The main purpose of this study was to analyze and evaluate the impacts of industrial noise pollution onhearing of workers in Gujranwala. Noise pollution levels were measured at fifty locations with the help of sound levelmeter, which was placed at a height above 1.2 meters from the ground. Two hundred workers were interviewed throughquestionnaire method. Different statistical tests correlation and chi-square were applied to analyze the noise pollutionlevel in Gujranwala city. Impacts of industrial noise pollution on hearing of workers were shown in different mapsusing interpolation and buffers. The present study concluded that noise pollution levels were exceeding the WHOpermissible limit of noise pollution at all sample locations. Workers of factories were suffering from annoyance,hypertension, irritation, interference with speech communication and sleep disturbance. Thus, it is necessary to possessa hearing discussion program in factories. One of its main parts is education to raise the consciousness of workers aboutnoise risks and techniques of prevention. Lastly, the issues of noise annoyance should be included in all future studieson the usage of hearing protection devices.

Assessment of changes in land use and land cover through remote sensing and GIS is very important and keyanalysis. Urbanization has been continued by the rapid growth in the world economy so; it is the key study withregards to agriculture and urbanization. The aim of this study is to determine the loss of agriculture land and effects ofincreasing urbanization on surface temperature. For urban temperature impact analysis, distinctive time series ofLandsat images have been chosen. Temporal analysis for different time series shows the decrease in agriculture landand increase in built up area. Urbanization increased the temperature up to 20C. Positive correlation is found betweenbuilt-up area and temperature and negative correlation is found between green spaces and temperature. Unplannedurban sprawl and lack of proper irrigation system according to population are major problems in study area. Recentstudy will be helpful for decision makers to develop the sustainable environment policy in future.