目的探讨不同光照方式对慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease,AECOPD)患者血清褪黑素(melatonin,Mel)及近期预后的影响。方法选取2019年7月至2020年12月浙江省人民医院收治的96例AEC...目的探讨不同光照方式对慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease,AECOPD)患者血清褪黑素(melatonin,Mel)及近期预后的影响。方法选取2019年7月至2020年12月浙江省人民医院收治的96例AECOPD患者为研究对象,按照随机数字表法分为对照组(n=46)和观察组(n=50)。对照组患者给予24h持续光照,观察组患者采用间断光照方式,8:00至20:00给予持续光照,20:00至次日8:00关闭光照并为患者佩戴黑色眼罩,连续观察10d。比较两组患者血清Mel及尿6-羟基硫酸褪黑素(6-sulphatoxymelatonin,6-SMT)水平变化及撤机成功率、重症监护室(intensive care unit,ICU)停留时间、多器官功能障碍综合征(multiple organ dysfunction syndrome,MODS)发生率、住院28 d生存率差异。结果观察组患者7:00和22:00的血清Mel及尿6-SMT水平均呈现升高趋势,且入院后第5天和第10天上述指标均显著高于同期对照组(P<0.05)。观察组患者撤机成功率显著高于对照组,ICU停留时间显著短于对照组,MODS发生率显著低于对照组(P<0.05)。观察组患者住院28d的生存率略高于对照组,但两组比较差异无统计学意义(84.0%vs 73.9%,χ^(2)=0.390,P=0.532)。结论对AECOPD患者实施间断光照能够明显提高患者体内Mel及其代谢产物水平,改善近期预后,值得在临床中推广应用。展开更多
Hydrological models are considered as necessary tools for water and environmental resource management. However, modelling poorly gauged watersheds has been a challenge to hydrologists and hydraulic engineers. Research...Hydrological models are considered as necessary tools for water and environmental resource management. However, modelling poorly gauged watersheds has been a challenge to hydrologists and hydraulic engineers. Research done recently has shown the potential to overcome this challenge through incorporating satellite based hydrological and meteorological data in the measured data. This paper presents results for a study that used the semi-distributed conceptual HBV Light Model to model the rainfall-runoff in the Mara River Basin, Kenya. The model simulates runoff as a function of rainfall. It is built on the basis established between satellite observed and in-situ rainfall, evaporation, temperature and the measured runoff. The model’s performance and reliability were evaluated over two sub-catchments namely: Nyangores and Amala in the Mara River Basin using the Nash-Sutcliffe Efficiency which the model referred to as Reff and the coefficient of determination (R2). The Reff for Nyangores and Amala during the calibration and (validation) period were 0.65 (0.68) and 0.59 (0.62) respectively. The model showed good flow simulations particularly during the recession flows, in the Nyangores sub-catchment whereas it simulated poorly the short term fluctuations of the high-flow for Amala sub-catchment. Results from this study can be used by water resources managers to make informed decision on planning and management of water resources.展开更多
This study was aimed to assess the impact of climate change on the water resource of Megech river catchment. In this study, large scale regional climate model (REMO) output was downscaled statistically to metrological...This study was aimed to assess the impact of climate change on the water resource of Megech river catchment. In this study, large scale regional climate model (REMO) output was downscaled statistically to metrological variables at a daily resolution using SDSM model version 5.11. We noticed that statistical downscaling smooth out the bias between REMO output and observed data. According to the projected climate data, the maximum temperature is likely to have an increasing trend +0.57°C while the minimum temperature shows a decreasing trends ﹣0.61°C. There is no clear trend for precipitation, both increasing and decreasing trend observed in the catchment. The HBV-Light hydrological model was successfully calibrated (1991-1995) and validated (1998-2000) using current climatic inputs and observed river flows. The overall performances of the model was good at monthly time scale both on calibration (NSE = 0.91) and validation (NSE = 0.86). Future discharge (2015-2050) was simulated using statistically downscaled 20 ensembles climate scenario data for both A1B and B1 scenarios. HBV-Light model simulation results showed a reduction of the peak discharge in August and September.展开更多
The glaciers of the Hengduan Mountains play an important role in the hydrology processes of this region. In this study, the HBV Light model, which relies on a degree-day model to simulate glacier melting, was employed...The glaciers of the Hengduan Mountains play an important role in the hydrology processes of this region. In this study, the HBV Light model, which relies on a degree-day model to simulate glacier melting, was employed to simulate both glacier runoffand total runoff. The daily temperature and precipitation at the Hailuo Creek No. 1 Glacier from 1952 to 2009 were obtained from daily meteorological observed data at the glacier and from six national meteorological stations near the Hailuo Creek Basin. The daily air temperature, precipitation, runoff depth, and monthly potential evaporation in 1995, 1996, and 2002 were used to obtain a set of optimal parameters, and the annual total runoff and glacier runoff of the Hailuo Creek Glacier （1952--2009） were calculated using the HBV Light model. Results showed the average annual runoff in the Hailuo Creek Basin was 2,114 mm from 1952 to 2009, of which glacial melting accounted for about 1,078 mm. The river runoff in the Hailuo Creek catchment increased as a result of increased glacier runoff. Glacier runoff accounted for 51.1% of the Hailuo Creek stream flow in 1994 and increased to 72.6% in 2006. About 95% of the increased stream flow derived from the increased ~lacier runoff.展开更多
文摘目的探讨不同光照方式对慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease,AECOPD)患者血清褪黑素(melatonin,Mel)及近期预后的影响。方法选取2019年7月至2020年12月浙江省人民医院收治的96例AECOPD患者为研究对象,按照随机数字表法分为对照组(n=46)和观察组(n=50)。对照组患者给予24h持续光照,观察组患者采用间断光照方式,8:00至20:00给予持续光照,20:00至次日8:00关闭光照并为患者佩戴黑色眼罩,连续观察10d。比较两组患者血清Mel及尿6-羟基硫酸褪黑素(6-sulphatoxymelatonin,6-SMT)水平变化及撤机成功率、重症监护室(intensive care unit,ICU)停留时间、多器官功能障碍综合征(multiple organ dysfunction syndrome,MODS)发生率、住院28 d生存率差异。结果观察组患者7:00和22:00的血清Mel及尿6-SMT水平均呈现升高趋势,且入院后第5天和第10天上述指标均显著高于同期对照组(P<0.05)。观察组患者撤机成功率显著高于对照组,ICU停留时间显著短于对照组,MODS发生率显著低于对照组(P<0.05)。观察组患者住院28d的生存率略高于对照组,但两组比较差异无统计学意义(84.0%vs 73.9%,χ^(2)=0.390,P=0.532)。结论对AECOPD患者实施间断光照能够明显提高患者体内Mel及其代谢产物水平,改善近期预后,值得在临床中推广应用。
文摘Hydrological models are considered as necessary tools for water and environmental resource management. However, modelling poorly gauged watersheds has been a challenge to hydrologists and hydraulic engineers. Research done recently has shown the potential to overcome this challenge through incorporating satellite based hydrological and meteorological data in the measured data. This paper presents results for a study that used the semi-distributed conceptual HBV Light Model to model the rainfall-runoff in the Mara River Basin, Kenya. The model simulates runoff as a function of rainfall. It is built on the basis established between satellite observed and in-situ rainfall, evaporation, temperature and the measured runoff. The model’s performance and reliability were evaluated over two sub-catchments namely: Nyangores and Amala in the Mara River Basin using the Nash-Sutcliffe Efficiency which the model referred to as Reff and the coefficient of determination (R2). The Reff for Nyangores and Amala during the calibration and (validation) period were 0.65 (0.68) and 0.59 (0.62) respectively. The model showed good flow simulations particularly during the recession flows, in the Nyangores sub-catchment whereas it simulated poorly the short term fluctuations of the high-flow for Amala sub-catchment. Results from this study can be used by water resources managers to make informed decision on planning and management of water resources.
文摘This study was aimed to assess the impact of climate change on the water resource of Megech river catchment. In this study, large scale regional climate model (REMO) output was downscaled statistically to metrological variables at a daily resolution using SDSM model version 5.11. We noticed that statistical downscaling smooth out the bias between REMO output and observed data. According to the projected climate data, the maximum temperature is likely to have an increasing trend +0.57°C while the minimum temperature shows a decreasing trends ﹣0.61°C. There is no clear trend for precipitation, both increasing and decreasing trend observed in the catchment. The HBV-Light hydrological model was successfully calibrated (1991-1995) and validated (1998-2000) using current climatic inputs and observed river flows. The overall performances of the model was good at monthly time scale both on calibration (NSE = 0.91) and validation (NSE = 0.86). Future discharge (2015-2050) was simulated using statistically downscaled 20 ensembles climate scenario data for both A1B and B1 scenarios. HBV-Light model simulation results showed a reduction of the peak discharge in August and September.
基金funded by the Chinese Postdoctoral Science Foundation(No.2015M570864)the Open-Ended Fund of the State Key Laboratory of Cryospheric Sciences+3 种基金Chinese Academy of Sciences(No.SKLCS-OP-2014-11)a project of the Northwest Normal University Young Teachers Scientific Research Ability Promotion Plan(No.NWNU-LKQN-13-10)a project of the National Natural Science Foundation of China(Nos.41273010,41271133)a project of the Major National Research Projects of China(No.2013CBA01808)
文摘The glaciers of the Hengduan Mountains play an important role in the hydrology processes of this region. In this study, the HBV Light model, which relies on a degree-day model to simulate glacier melting, was employed to simulate both glacier runoffand total runoff. The daily temperature and precipitation at the Hailuo Creek No. 1 Glacier from 1952 to 2009 were obtained from daily meteorological observed data at the glacier and from six national meteorological stations near the Hailuo Creek Basin. The daily air temperature, precipitation, runoff depth, and monthly potential evaporation in 1995, 1996, and 2002 were used to obtain a set of optimal parameters, and the annual total runoff and glacier runoff of the Hailuo Creek Glacier （1952--2009） were calculated using the HBV Light model. Results showed the average annual runoff in the Hailuo Creek Basin was 2,114 mm from 1952 to 2009, of which glacial melting accounted for about 1,078 mm. The river runoff in the Hailuo Creek catchment increased as a result of increased glacier runoff. Glacier runoff accounted for 51.1% of the Hailuo Creek stream flow in 1994 and increased to 72.6% in 2006. About 95% of the increased stream flow derived from the increased ~lacier runoff.
