A steady-state saturation model to determine the subsurface travel time (STT) in complex hillslopes

The travel time of subsurface flow in complex hillslopes (hillslopes with different plan shape and profile curvature) is an important parameter in predicting the subsurface flow in catchments. This time depends on the hillslopes geometry (plan shape and profile curvature), soil properties and climate conditions. The saturation capacity of hillslopes affect the travel time of subsurface flow. The saturation capacity, and subsurface travel time of compound hillslopes depend on parameters such as soil depth, porosity, soil hydraulic conductivity, plan shape (convergent, parallel or divergent), hillslope length, profile curvature (concave, straight or convex) and recharge rate to the groundwater table. An equation for calculating subsurface travel time for all complex hillslopes was presented. This equation is a function of the saturation zone length (SZL) on the surface. Saturation zone length of the complex hillslopes was calculated numerically by using the hillslope-storage kinematic wave equation for subsurface flow, so an analytical equation was presented for calculating the saturation zone length of the straight hillslopes and all plan shapes geometries. Based on our results, the convergent hillslopes become saturated very soon and they showed longer SZL with shorter travel time compared to the parallel and divergent ones. The subsurface average flow rate in convergent hillslopes is much less than the divergent ones in the steady state conditions. Concerning to subsurface travel time, convex hillslopes have more travel time in comparison to straight and concave hillslopes. The convex hillslopes exhibit more average flow rate than concave hillslopes and their saturation capacity is very low. Finally, the effects of recharge rate variations, average bedrock slope and soil depth on saturation zone extension were investigated

Women Empowerment through Health Information Seeking: A Qualitative Study

BACKGROUND: Today, women empowering is an important issue. Several methods have been introduced to empower women. Health information seeking is one of the most important activities in this regard. A wide range of capabilities have been reported as outcomes of health information seeking in several studies. As health information seeking is developed within personal-social interactions and also the health system context, it seems that the qualitative paradigm is appropriate to use in studies in this regard. This study aimed to explore how women's empowerment through health information seeking is done. METHODS: In this qualitative content analysis study, data collection was done with regard to inclusion criteria, through purposive sampling by semi-structured interviews with 17 women and using documentation and field notes until data saturation. Qualitative data analysis was done constantly and simultaneous with data collection. RESULTS: Four central themes were emerged to explain women's empowerment through health information seeking that included: a) Health concerns management with three subcategories of Better coping, Stress management, Control of situation, b) Collaborative care with two subcategories of Effective interaction with health professions and Participation in health decision making c) Individual development d) Self-protection with four sub- categories of Life style modification, Preventive behaviors promoting, Self-care promoting, and medication adherence. CONCLUSION: The results of this study indicate the importance of women empowerment through foraging their health information seeking rights and comprehensive health information management

Comparison of design hydrograph estimation methods for ungauged basins in Iran

4s

The Association between Risk Factors and Prodromal Myocardial Infarction Symptoms: A Cross-Sectional Study in Iran

BACKGROUND: Prodromal symptoms in individuals with risk factors remain challenging, even though myocardial infarction has been noted in research. This study determined the association of risk factors with patients’ baseline myocardial infarction related prodromal symptoms.METHODS: In a cross-sectional study, 154 Iranian men and women, mean age 59.62 ± 12.74 years were assessed in 2016–2017. The frequency besides severity of 33 prodromal symptoms and risk factors was assessed using McSweeney Prodromal Myocardial Infarction Symptom Survey.RESULTS: The main cardiac prodromal symptoms experienced by patients were chest pain/discomfort (n = 99, 64.30%), unusual fatigue (n = 78, 50.60%), and sleep disturbance (n = 33, 20.40%). Women experienced more prodromal symptoms than men (33.26 ± 21.88 vs. 25.48 ± 17.75). Among risk factors, only sex was associated with prodromal symptoms score (P < 0.05).CONCLUSION: The frequently experienced prodromal symptoms, i.e., before MI were chest pain/discomfort, unusual fatigue, and sleep disturbance. A crucial finding was the significant association between sex and prodromal symptoms. Identifying prodromal symptoms in patients with risk factors can prevent the incidence of myocardial infarction.

Separation of surface flow from subsurface flow in catchments using runoff coefficient

Abstract Separating surface flow (SF) from subsurface flow (SSF) based on direct runoff measurements in river gauges is an important issue in hydrology. In this study, we developed a simple and practical method, based on runoff coefficient (RC), for separating SF from SSF. RC depends mainly on soil texture, land use and land cover, but we also considered the effect of slope and rainfall intensity. We assessed our RC-based method for three different soil types by comparing the value obtained with laboratory rainfall simulator data. The correlation coefficient between observed and calculated data exceeded 0.93 and 0.63 when estimating SF and SSF, respectively. The method was then used to separate SF and SSF in two catchments (Heng-Chi and San-Hsia) in Northern Taiwan, and the results were compared with those produced by the geomorphological instantaneous unit hydrograph (GIUH) model. Test revealed that, if RC is calculated accurately, the proposed method can satisfactorily separate SF from SSF at catchment scale