One of the detailed and useful ways to develop land use classification maps is use of geospatial techniques such as remote sensing and Geographic Information System (GIS). It vastly improves the selection of areas designated as agricultural, industrial and/or urban sector of a region. In Islamabad city and its surroundings, change in land use has been observed and new developments (agriculture, commercial, industrial and urban) are emerging every day. Thus, the rationale of this study was to evaluate land use/cover changes in Islamabad from 1992 to 2012. Quantification of spatial and temporal dynamics of land use/cover changes was accomplished by using two satellite images, and classifying them via supervised classification algorithm and finally applying post-classification change detection technique in GIS. The increase was observed in agricultural area, built-up area and water body from 1992 to 2012. On the other hand forest and barren area followed a declining trend. The driving force behind this change was economic development, climate change and population growth. Rapid urbanization and deforestation resulted in a wide range of environmental impacts, including degraded habitat quality.
One of the features of medical geography that has made it so useful in health research is statistical spatial analysis, which enables the quantification and qualification of health events. The main objective of this research was to study the spatial distribution patterns of malaria in Rawalpindi district using spatial statistical techniques to identify the hot spots and the possible risk factor. Spatial statistical analyses were done in ArcGIS, and satellite images for land use classification were processed in ERDAS Imagine. Four hundred and fifty water samples were also collected from the study area to identify the presence or absence of any microbial contamination. The results of this study indicated that malaria incidence varied according to geographical location, with eco-climatic condition and showing significant positive spatial autocorrelation. Hotspots or location of clusters were identified using Getis-Ord Gi* statistic. Significant clustering of malaria incidence occurred in rural central part of the study area including Gujar Khan, Kaller Syedan, and some part of Kahuta and Rawalpindi Tehsil. Ordinary least square (OLS) regression analysis was conducted to analyze the relationship of risk factors with the disease cases. Relationship of different land cover with the disease cases indicated that malaria was more related with agriculture, low vegetation, and water class. Temporal variation of malaria cases showed significant positive association with the meteorological variables including average monthly rainfall and temperature. The results of the study further suggested that water supply and sewage system and solid waste collection system needs a serious attention to prevent any outbreak in the study area.
This study provides an analysis of the soil, vegetation types and species distribution along Rawal Dam, Rawal Lake and its three tributaries (Bani Gala, Chattar and Bari Imam Streams and its tributaries), with a focus on the environmental factors that control species distribution. After identifying the study area's herbaceous vegetation and analyzing the soil's physical and chemical parameters, the variable data were connected into a relationship. TWINSPAN (Two Way Indicator Species Analysis) classified the herbaceous vegetation into seven different communities with which; the formulated groups in DCA (Deterended Correspondance Analysis) were coherent. CCA (Canonical Correspondance Analysis) produced the relationship of soil parameters such as pH, organic matter, Potassium, Manganese, Zinc, and Iron with the herbaceous vegetation. The most effectual and varied parameter was the Potassium and Manganese that was available among the heavy metals. Thus, this study analyzed the overall relationship among soil, vegetation and the species present at the selected site.
Carthamus oxyacantha commonly known as "Poli" or "Peeli kandiary" belongs to family Asteraceae/Compositae. Protective and curative effects of alcoholic extract of C. oxyacantha seeds were investigated against carbon tetrachloride (CCl 4) induced hepatic damage in rats (Sprague Dawley Strain). Hepatic damage was induced by injecting a single intraperitoneal dose of 4 ml (50%v/v) CCl 4 in olive oil. In protective studies, plant extract (400 mg/kg body weight) was given before hepatic damage while in curative studies; hepatic damage was induced before the application of plant extract. The hepatoprotective and hepatocurative effects were monitored by estimating the activities of the serum glutamate pyruvate transaminase (SGPT), serum glutamate oxalacetate transaminase (SGOT), serum alkaline phosphatase (ALP), total proteins, glutathione level serum bilirubin concentration and histopathological studies. Results show that alcoholic extract of seeds of C. oxycantha possessed both hepatoprotective and hepatocurative activity. However, hepatoprotective activity was more pronounced as compared to hepatocurative activity. Histopathological studies also supported the biochemical parameters.
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