Dr. Omar Riaz | University of Sargodha (original) (raw)

Papers by Dr. Omar Riaz

If you would like to write for this, or any other Emerald publication, then please use our Emeral... more If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.

The paper presents a case study on the ground water quality analysis carried out at Sargodha city... more The paper presents a case study on the ground water quality analysis carried out at Sargodha city, Pakistan. Twelve ground water samples were collected randomly from different locations during June 2013 to July 2013. The quality analysis has completed in the course of chemical and physical parameters which were obtained by using Atomic Absorption Spectrometer. pH and EC values were determined through pH and EC meters while TDS concentration measured by using indirect method. The results reveal that the concentration of all parameters were high as compare to World Health Organization (WHO) permissible limit. Geographic Information System (GIS) was used to produce spatial circulation map of ground water quality. Spatial division maps provided significant information to illustrate the concentration of parameters. The study concluded that ground water of study area is not fit for drinking purpose.

The monitoring of global vegetation through SRS (satellite remote sensing) data is central part o... more The monitoring of global vegetation through SRS (satellite remote sensing) data is central part of sustainable urban development and regional planning which is handy to improve our knowledge regarding spatial and temporal patterns and traits of vegetation in any area. In recent years rapid urbanization has converted Sargodha into 5 th largest city of the Punjab which resulted in change and modification of urban morphology and invited the attention of researchers to investigate, analyze and evaluate the type, length and conditions of plant life. In this work an attempt was made to examine spatio temporal dynamics of vegetation cover in Sargodha by integration with multi temporal satellite images and GIS. The research shows the applicability of Landsat images for the evaluation of vegetation exchange between the years of 1992-2015. The findings of the study indicated that during the past 24 years, a dramatic change took place in reduction of greenness because of rapid increase in population distribution and density, urban development and other infrastructural development. The results highlighted the importance of NDVI for better effects concerning accuracy to evaluate the vegetation cover.

Floods are one of the leading natural disasters in Pakistan. In recent decades the frequency and ... more Floods are one of the leading natural disasters in Pakistan. In recent decades the frequency and intensity of floods has increased due to human and environmental factors. In this work an attempt was made to examine the flood vulnerable areas of Jhang district and its impact on land cover changes by using remote sensing and GIS techniques. Image Analysis and different indices like NDVI, NDWI were applied on satellite images for identification of flood prone areas and vegetation conditions in study area. Flood prone areas were further classified into low, medium and high risk areas according to flood hazard. The results indicate that, Jhang covers total area of 6357 km 2 out of which flood affected area is 530 km 2 . During the flood of 2010 water area expanded approximately 714 km 2 while a decline was observed in agricultural lands which have lost139 km 2 area under vegetation.

Hospital waste has been one of the major problems in underdeveloped and developing countries in r... more Hospital waste has been one of the major problems in underdeveloped and developing countries in recent times. The present study is an attempt to analyze hospital waste generation of Faisalabad city. Forty four hospitals were selected out of which five were public, two were semi-government, six were trust and thirty one were private hospitals with a minimum capacity of ten beds. It was very difficult to acquire exact data related to the waste generated by hospitals as these health care centers were not following the international standards to handle waste generation. The primary data were collected through questionnaire, formal and informal meetings, interviews with the hospital staff and through personal observations. The secondary data were collected from the office of the Executive District Officer Health and Environment Protection Department, Faisalabad. Data analysis showed that about 7646 kg/day waste was generated by these hospitals out of which 6529 kg (85.40%) was non-infectious and 1117 kg (14.60%) was infectious waste. The government hospitals' waste generation rate was 1.51 kg/bed/day, semi government 1.49 kg/bed/day, trust hospitals rate was 1.29 kg/bed/day and private hospitals 0.99 kg/bed/day. The overall waste generation rate of the hospitals of the study area was 1.28 kg/bed/day. It was recommended that the hospital staff must be trained to handle hospital waste so that the garbage should not create problems to human health.

The study has presented the empirical findings on the poverty status and its causes among small f... more The study has presented the empirical findings on the poverty status and its causes among small farmers in the Faisalabad division, Punjab, Pakistan. The data used in this paper was based on the survey conducted for the year 2011-12. A sample of 432 small farmers from the three districts of Faisalabad division was selected. Poverty has many faces, such as hunger, lack of shelter, being sick and not being able to see a doctor, not being able to go to school and in short technically a denial of choices and opportunities. In case of Pakistan poverty line is calorie based. The National poverty line is Rs. 1274 per person per month was used as the yardstick. Probability Model i.e. binary logistic model was used to estimate the parameters of poverty causing which revealed that among many land ownership and low income were the major determinants of poverty. Mostly the reasons behind poverty are wrong policies of government, ever rising input prices, inflation and unavailability of funds. The data of farmers' perception regarding causes of poverty revealed that 75% farmers said that high input prices was one of the major causes of poverty, about 8% to 17% farmers revealed that lack of funds for investment and low savings due to high family consumption were also causes of low income and poverty.

This paper describes the role of Fused Satellite images (landsat and Google earth) from different... more This paper describes the role of Fused Satellite images (landsat and Google earth) from different sources to enhance geological interpretation. Images of different spatial resolution have merged to identify the lineament pattern of the area. To interpret the enhanced image for geological lineaments Directional Filter of a specific window size of 3x3 pixels applied in eight geographic directions like N,NE,NW,S,SE,SW,E and W resulted in a more than thirteen hundred lineaments extraction. However the entire lineament structure cannot be placed in fault like structure. For this slope map of the area which is calculated from Digital Elevation Model (DEM) used to trace out faults on the basis of their low angles (i.e. thrust fault) and high angles (i.e. Normal fault and Reverse fault) dipping from slope data.

The focus of this study is on the application of GIS and remote sensing on urbanization and its i... more The focus of this study is on the application of GIS and remote sensing on urbanization and its impact on land use changes in Sargodha from 1992-2015. Sargodha has witnessed rapid urbanization and due to urban expansion many changes have been detected in the land use of Sargodha. For this study, census data, multi-temporal city maps and multi spectral satellite images are used. Landsat TM 1992 and ETM+ 2000 and 2015 Landsat 8 are classified using supervised classified method (MLC) to produce land use maps. The classification accuracy has been assessed by calculating kappa index of agreement and ground control points were also collected to verify the results.

If you would like to write for this, or any other Emerald publication, then please use our Emeral... more If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information.

The paper presents a case study on the ground water quality analysis carried out at Sargodha city... more The paper presents a case study on the ground water quality analysis carried out at Sargodha city, Pakistan. Twelve ground water samples were collected randomly from different locations during June 2013 to July 2013. The quality analysis has completed in the course of chemical and physical parameters which were obtained by using Atomic Absorption Spectrometer. pH and EC values were determined through pH and EC meters while TDS concentration measured by using indirect method. The results reveal that the concentration of all parameters were high as compare to World Health Organization (WHO) permissible limit. Geographic Information System (GIS) was used to produce spatial circulation map of ground water quality. Spatial division maps provided significant information to illustrate the concentration of parameters. The study concluded that ground water of study area is not fit for drinking purpose.

The monitoring of global vegetation through SRS (satellite remote sensing) data is central part o... more The monitoring of global vegetation through SRS (satellite remote sensing) data is central part of sustainable urban development and regional planning which is handy to improve our knowledge regarding spatial and temporal patterns and traits of vegetation in any area. In recent years rapid urbanization has converted Sargodha into 5 th largest city of the Punjab which resulted in change and modification of urban morphology and invited the attention of researchers to investigate, analyze and evaluate the type, length and conditions of plant life. In this work an attempt was made to examine spatio temporal dynamics of vegetation cover in Sargodha by integration with multi temporal satellite images and GIS. The research shows the applicability of Landsat images for the evaluation of vegetation exchange between the years of 1992-2015. The findings of the study indicated that during the past 24 years, a dramatic change took place in reduction of greenness because of rapid increase in population distribution and density, urban development and other infrastructural development. The results highlighted the importance of NDVI for better effects concerning accuracy to evaluate the vegetation cover.

Floods are one of the leading natural disasters in Pakistan. In recent decades the frequency and ... more Floods are one of the leading natural disasters in Pakistan. In recent decades the frequency and intensity of floods has increased due to human and environmental factors. In this work an attempt was made to examine the flood vulnerable areas of Jhang district and its impact on land cover changes by using remote sensing and GIS techniques. Image Analysis and different indices like NDVI, NDWI were applied on satellite images for identification of flood prone areas and vegetation conditions in study area. Flood prone areas were further classified into low, medium and high risk areas according to flood hazard. The results indicate that, Jhang covers total area of 6357 km 2 out of which flood affected area is 530 km 2 . During the flood of 2010 water area expanded approximately 714 km 2 while a decline was observed in agricultural lands which have lost139 km 2 area under vegetation.

Hospital waste has been one of the major problems in underdeveloped and developing countries in r... more Hospital waste has been one of the major problems in underdeveloped and developing countries in recent times. The present study is an attempt to analyze hospital waste generation of Faisalabad city. Forty four hospitals were selected out of which five were public, two were semi-government, six were trust and thirty one were private hospitals with a minimum capacity of ten beds. It was very difficult to acquire exact data related to the waste generated by hospitals as these health care centers were not following the international standards to handle waste generation. The primary data were collected through questionnaire, formal and informal meetings, interviews with the hospital staff and through personal observations. The secondary data were collected from the office of the Executive District Officer Health and Environment Protection Department, Faisalabad. Data analysis showed that about 7646 kg/day waste was generated by these hospitals out of which 6529 kg (85.40%) was non-infectious and 1117 kg (14.60%) was infectious waste. The government hospitals' waste generation rate was 1.51 kg/bed/day, semi government 1.49 kg/bed/day, trust hospitals rate was 1.29 kg/bed/day and private hospitals 0.99 kg/bed/day. The overall waste generation rate of the hospitals of the study area was 1.28 kg/bed/day. It was recommended that the hospital staff must be trained to handle hospital waste so that the garbage should not create problems to human health.

The study has presented the empirical findings on the poverty status and its causes among small f... more The study has presented the empirical findings on the poverty status and its causes among small farmers in the Faisalabad division, Punjab, Pakistan. The data used in this paper was based on the survey conducted for the year 2011-12. A sample of 432 small farmers from the three districts of Faisalabad division was selected. Poverty has many faces, such as hunger, lack of shelter, being sick and not being able to see a doctor, not being able to go to school and in short technically a denial of choices and opportunities. In case of Pakistan poverty line is calorie based. The National poverty line is Rs. 1274 per person per month was used as the yardstick. Probability Model i.e. binary logistic model was used to estimate the parameters of poverty causing which revealed that among many land ownership and low income were the major determinants of poverty. Mostly the reasons behind poverty are wrong policies of government, ever rising input prices, inflation and unavailability of funds. The data of farmers' perception regarding causes of poverty revealed that 75% farmers said that high input prices was one of the major causes of poverty, about 8% to 17% farmers revealed that lack of funds for investment and low savings due to high family consumption were also causes of low income and poverty.

This paper describes the role of Fused Satellite images (landsat and Google earth) from different... more This paper describes the role of Fused Satellite images (landsat and Google earth) from different sources to enhance geological interpretation. Images of different spatial resolution have merged to identify the lineament pattern of the area. To interpret the enhanced image for geological lineaments Directional Filter of a specific window size of 3x3 pixels applied in eight geographic directions like N,NE,NW,S,SE,SW,E and W resulted in a more than thirteen hundred lineaments extraction. However the entire lineament structure cannot be placed in fault like structure. For this slope map of the area which is calculated from Digital Elevation Model (DEM) used to trace out faults on the basis of their low angles (i.e. thrust fault) and high angles (i.e. Normal fault and Reverse fault) dipping from slope data.

The focus of this study is on the application of GIS and remote sensing on urbanization and its i... more The focus of this study is on the application of GIS and remote sensing on urbanization and its impact on land use changes in Sargodha from 1992-2015. Sargodha has witnessed rapid urbanization and due to urban expansion many changes have been detected in the land use of Sargodha. For this study, census data, multi-temporal city maps and multi spectral satellite images are used. Landsat TM 1992 and ETM+ 2000 and 2015 Landsat 8 are classified using supervised classified method (MLC) to produce land use maps. The classification accuracy has been assessed by calculating kappa index of agreement and ground control points were also collected to verify the results.