This paper analyses and applies a spatio-statistical failure rate (SSFR) technique for landslide susceptibility zonation in the Hindu Kush region, Pakistan. The study area (Shahpur valley) is located in the eastern Hindu Kush mountain system. In Shahpur valley, land sliding is a recurrent and costly extreme event. Geologically, this region constitutes the youngest mountain systems and almost every year landslide-induced losses are reported. The frequency and intensity of landslide events is expected to further increase in future due to rapid population growth over the fragile slopes, infrastructural development and deforestation. In order to achieve objectives of the study, data were obtained from both primary and secondary sources. In Shahpur valley, an inventory of the past 300 landslide events of various sizes has been identified and marked on a SPOT satellite image of 2.5 m resolution. In order to identify the influence of landslide triggering factors, such as geology, tectonic structures, land use, slope angle, slope aspect, roads and streams, a univariate SSFR technique has been tested and applied for calculating the susceptibility score in each class of the selected parameters. Based on factor maps and cumulative score, the landslide susceptibility zones have been developed and validated appearing to be significantly reflecting the pattern of the past landslide events.
Tuberculosis (TB) is endemic in Karachi, Pakistan, and even with the discovery of other infectious diseases no signicant change is evident in its epidemiological prole while analyzing the temporal incidence. There is signicant evidence to support the fact that poverty is the leading cause of TB. A number of scholarly analyses have documented associations among patients' characteristics (sex, age group); social factors (education, origin of the patient, smoking, alcohol and drug use); environmental factors (house types, room density, source of water, garbage collection and disposal), and economic factors etc. The purpose of the present study is to provide cogent and relevant arguments for the characteristics of tuberculosis patients in terms of social and economic proles in the study area. Forty-nine selected variables have been used in the present study for analysis. Three factors have emerged as responsible for the spread of tuberculosis in the study area. An insight into variables for Factor I reveals that features related to urbanization appear to be categorically responsible for the spread of TB in Karachi, especially among the white collar persons and low, middle-class residents. The results of the present study can help the city authorities for improving downtown areas renovation as per quality of life demand.
Climate change is one of the leading issues affecting river basins due to its direct impacts on the cryosphere and hydrosphere. General circulation models (GCMs) are widely applied tools to assess climate change but the coarse spatial resolution of GCMs limit their direct application for local studies. This study selected five CMIP5 GCMs (CCSM4, HadCM3, GFDL-CM3, MRI-CGCM3 and CanESM2) for performance evaluation ranked by Nash–Sutcliffe coefficient (NSE) and Kling–Gupta Efficiency (KGE). CCSM4 and HadCM3 large-scale predictors were favored based on ranks (0.71 and 0.68, respectively) for statistical downscaling techniques to downscale the climatic indicators Tmax, Tmin and precipitation. The performance of two downscaling techniques, Statistical Downscaling Methods (SDSM) and Long Ashton Research Station Weather Generator (LARS-WG), were examined using the Mean Absolute Error (MAE), Root Mean Square Error (RMSE), bias, NSE and KGE with weights (Wi) for the validation period. The results of statistical measures proved SDSM more efficient (0.67) in comparison to the LARS-WG (0.51) for the validation time for the Jhelum River basin. The findings revealed that the SDSM simulation for Tmax and Tmin are more comparable to the reference data for the validation period except simulation of extreme events by precipitation. The 21st century climatic projections exhibited a significant rise in Tmax (2.37–4.66 °C), Tmin (2.47–4.52 °C) and precipitation (7.4–11.54%) for RCP-4.5 and RCP-8.5, respectively. Overall, the results depicted that winter and pre-monsoon seasons were potentially most affected in terms of warming and precipitation, which has the potential to alter the cryosphere and runoff of the Jhelum River basin.
Abstract. Studies have revealed that socioeconomic factors such as those pertaining to unmarried respondents, dependency, housing congestion and room sharing are associated with tuberculosis rates not only in developing countries but also in developed countries. Karachi has been identified as one of the most vulnerable cities where the spread of TB is increasing with the passage of time. The purpose of the present study is to assess TB notification with reference to some social factors in order that the findings of this study may provide helpful information for guidance related to social and economic policy formulation, at least at the local level to combat and eliminate tuberculosis. The methodology was based on NTP registered patients' data and social factor analysis data which were acquired through questionnaire survey from notified patients. The result pertaining to TB notification reveals an increasing trend during the last seven years from 2007 until 2013. The notification of female patients compared to that of males is high, which is evidence of the fact that women in Pakistan are more affected but a comparison of patients to the total population in the respective years i.e. the patient population ratio, reveals a decreasing trend. The findings of the study emphasize that the problem of TB control can be resolved expeditiously with the cooperation of the public sector, which should be motivated to meet the core requirements of the programme at various administrative levels and strongly enforced standards of quality of life.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.