Predicting long-term consequences of climate change on hydrologic processes has been limited due to the needs to accommodate the uncertainties in hydrological measurements for calibration, and to account for the uncertainties in the models that would ingest those calibrations and uncertainties in climate predictions as basis for hydrological predictions. We implemented a hierarchical Bayesian (...

Home Blood Pressure Measurement: Ensuring Quality and Interpreting Results Donald W. McKay, Ph.D. Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada A1B 3V6 Running Title: Quality Home Blood Pressure Measures

Abstract Water temperature, ice cover, and lake stratification are important physical properties of lakes reservoirs that control mixing as well bio-geo-chemical processes thus influence the water quality. We used an ensemble vertical one-dimensional hydrodynamic models driven with regional climate projections to calculate stratification, cover under A1B emission scenario for German drinking re...

This study implemented a coupled SWAT-FEM simulation model to evaluate the impacts of land use cover and climate change scenarios (LCS) on water resources river catchments in Chennai, India. The data were obtained by merging source from National Remote Sensing Centre (NRSC) International Water Management Institute (IWMI). Climate simulations four global models (GCM), including GFDL Baseline Sce...

BACKGROUND Hypertension (HTN) is a major cause of noncommunicable diseases. In this study, we report the prevalence rate of HTN in Birjand population. METHODS This cross-sectional study was conducted on 1286 individuals in Birjand in 2014. Individuals with systolic blood pressure (SBP) ≥140 mmHg and/or diastolic blood pressure (DBP) ≥90 mmHg were considered as hypertensive. Data were analyzed...

Recent studies by the United Nations Environment Programme (UNEP) and the Intergovernmental Panel on Climate Change (IPCC) indicate that Vietnam is one of the countries most affected by climate change. The variability of climate in this region, characterized by large fluctuations in precipitation and temperature, has caused significant changes in surface water resources. This study aims to proj...

By applying a two-step statistical downscaling technique to four climate models under different future emission scenarios, we produced future projections of the daily precipitation and the maximum and minimum temperatures over the Spanish region of Aragón. The reliability of the downscaling technique was assessed by a verification process involving the comparison of the downscaled reanalysis da...