Optimization of measuring of total amount of water vapor in atmosphere taking into account the seasonal variations of out of atmospheric solar radiation

Abstract Background Human reproduction follows a seasonal pattern with respect to spontaneous conception, a phenomenon wherein the effect of meteorological fluctuations might not be unique. However, the effect of seasonal variations on patients who underwent in vitro fertilization (IVF) treatment is unclear. We aimed to evaluate the effects of meteorological variation on the pregnancy rate in a cohort undergoing IVF treatment by performing multivariable analyses. Methods We conducted a cohort study in a sub-tropical region with prominent seasonal variations (2005–2016). Women aged < 35 years who were treated with a long ovarian stimulation protocol and underwent fresh embryo transfer (ER) were included. Data on gonadotropin administration (CYCL), oocyte retrieval (OR), ER, and pregnancy outcomes were prospectively recorded. For each patient, the daily average of meteorological data (temperature, humidity, sunlight duration, solar radiation) was recorded from the date of CYCL to ER. Multiple logistic regression analysis adjusted for age, fertilization method, year of the cycle, gonadotropin dose, and transferred embryo grade was performed to determine the relationship between the meteorological parameters and clinical pregnancy. Patients with one successful cycle and one failed cycle were subtracted for a case-control subgroup analysis through mixed effect logistics regressions. Time-series analysis of data in the epidemic level was conducted using the distributed lag linear and non-linear models (DLNMs). Results There were 1029 fresh cycles in 860 women (mean age 31.9 ± 2.0 years). Higher mean temperature from CYCL to OR (adjusted odds ratio [aOR] 1.04; 95% confidence interval [CI] 1.01–1.07, P = 0.01) increased the odds of pregnancy, while OR to ER did not show any statistical significance. Compared to that in winter, the odds of becoming pregnant were higher during higher temperature seasons, summer and autumn (aOR 1.47, 95%CI 0.97–2.23, P = 0.07 (marginally significant) and aOR 1.73, 95%CI 1.12–2.68, P = 0.02, respectively). Humidity, sunlight duration, and solar radiation had no effect on the outcome. The subgroup analysis confirmed this finding. The time-series analysis revealed a positive association between temperature and relative risk for pregnancy. Conclusions In IVF treatment, the ambient temperature variation alters the pregnancy rates; this aspect must be considered when obtaining patient consent for assisted conception.

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Actinometry at resorts

Kazan medical journal ◽

10.17816/kazmj54590 ◽

1938 ◽

Vol 34 (2) ◽

pp. 208-208

Author(s):

N. I. Kalitin

Keyword(s):

Water Vapor ◽

Solar Radiation ◽

Scattered Radiation ◽

Radiant Energy ◽

Influence Of Water

Biomedgiz. Leningrad branch. 1937 208 pp. Pr. 6 rubles. 50 kopecks. The content of the book is much wider than what the reader has a right to expect, judging by its title. The book concerns not only the measurement of radiant energy and touches on not only issues of interest to doctors working in resorts. The properties of solar radiation under various conditions, the influence of water vapor, ozone, dustiness of the atmosphere, the value of scattered radiation reflected from the sky and clouds, which is usually not paid enough attention, all these and many other issues are covered in detail in the book of prof. N.I. Kalitina largely on the basis of her own long-term research.

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Insight into the seasonal variations of the sea‐land breeze in Los Angeles with respect to the effects of solar radiation and climate type

Journal of Geophysical Research Atmospheres ◽

10.1029/2020jd033197 ◽

2021 ◽

Author(s):

Lixing Shen ◽

Chuanfeng Zhao ◽

Xingchuan Yang

Keyword(s):

Los Angeles ◽

Solar Radiation ◽

Seasonal Variations ◽

Land Breeze ◽

Climate Type ◽

Insight Into

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Comparative Modeling of a Parabolic Trough Collectors Solar Power Plant with MARS Models

Energies ◽

10.3390/en11010037 ◽

2017 ◽

Vol 11 (1) ◽

pp. 37 ◽

Cited By ~ 5

Author(s):

Jose Rogada ◽

Lourdes Barcia ◽

Juan Martinez ◽

Mario Menendez ◽

Francisco de Cos Juez

Keyword(s):

Heat Transfer ◽

Water Vapor ◽

Power Plant ◽

Solar Radiation ◽

Thermal Energy ◽

Power Plants ◽

Solar Power ◽

Rankine Cycle ◽

Heat Transfer Fluid ◽

Solar Field

Power plants producing energy through solar fields use a heat transfer fluid that lends itself to be influenced and changed by different variables. In solar power plants, a heat transfer fluid (HTF) is used to transfer the thermal energy of solar radiation through parabolic collectors to a water vapor Rankine cycle. In this way, a turbine is driven that produces electricity when coupled to an electric generator. These plants have a heat transfer system that converts the solar radiation into heat through a HTF, and transfers that thermal energy to the water vapor heat exchangers. The best possible performance in the Rankine cycle, and therefore in the thermal plant, is obtained when the HTF reaches its maximum temperature when leaving the solar field (SF). In addition, it is necessary that the HTF does not exceed its own maximum operating temperature, above which it degrades. The optimum temperature of the HTF is difficult to obtain, since the working conditions of the plant can change abruptly from moment to moment. Guaranteeing that this HTF operates at its optimal temperature to produce electricity through a Rankine cycle is a priority. The oil flowing through the solar field has the disadvantage of having a thermal limit. Therefore, this research focuses on trying to make sure that this fluid comes out of the solar field with the highest possible temperature. Modeling using data mining is revealed as an important tool for forecasting the performance of this kind of power plant. The purpose of this document is to provide a model that can be used to optimize the temperature control of the fluid without interfering with the normal operation of the plant. The results obtained with this model should be necessarily contrasted with those obtained in a real plant. Initially, we compare the PID (proportional–integral–derivative) models used in previous studies for the optimization of this type of plant with modeling using the multivariate adaptive regression splines (MARS) model.

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Leaf shedding of Pan-Asian tropical evergreen forests depends on the synchrony of seasonal variations of rainfall and incoming solar radiation

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2021.108691 ◽

2021 ◽

Vol 311 ◽

pp. 108691

Author(s):

Jianping Wu ◽

Yongxian Su ◽

Xiuzhi Chen ◽

Liyang Liu ◽

Xueqing Yang ◽

...

Keyword(s):

Solar Radiation ◽

Seasonal Variations ◽

Evergreen Forests ◽

Incoming Solar Radiation ◽

Leaf Shedding

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Retrieval of water vapor using SSM/I and its relation with the onset of monsoon

Annales Geophysicae ◽

10.5194/angeo-22-3079-2004 ◽

2004 ◽

Vol 22 (8) ◽

pp. 3079-3083 ◽

Cited By ~ 9

Author(s):

R. P. Singh ◽

S. Dey ◽

A. K. Sahoo ◽

M. Kafatos

Keyword(s):

Water Vapor ◽

Interannual Variability ◽

Seasonal Variations ◽

Indian Monsoon ◽

Precipitable Water ◽

Climatic Conditions ◽

Satellite Monitoring ◽

Onset Date ◽

Microwave Imager ◽

Onset Of Monsoon

Abstract. The seasonal variations and interannual variability of total precipitable water (TPW) deduced from the Special Sensor Microwave Imager (SSM/I) satellite over oceanic regions of the Indian sub-continent during the years between 1988 to 1998 show characteristic behavior. The weekly patterns of TPW are found to be closely related to the dynamics of the climatic conditions and the onset date of monsoon. The present results show that the satellite monitoring of TPW may prove as a good and reliable indicator in forecasting Indian monsoon.

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Retrieval of water vapor vertical distributions in the upper troposphere and the lower stratosphere from SCIAMACHY limb measurements

Atmospheric Measurement Techniques ◽

10.5194/amt-4-933-2011 ◽

2011 ◽

Vol 4 (5) ◽

pp. 933-954 ◽

Cited By ~ 25

Author(s):

A. Rozanov ◽

K. Weigel ◽

H. Bovensmann ◽

S. Dhomse ◽

K.-U. Eichmann ◽

...

Keyword(s):

Water Vapor ◽

Solar Radiation ◽

Lower Stratosphere ◽

Water Vapor Content ◽

Retrieval Algorithm ◽

Altitude Range ◽

Upper Troposphere ◽

Vertical Distributions ◽

First Results ◽

Scanning Imaging

Abstract. This study describes the retrieval of water vapor vertical distributions in the upper troposphere and lower stratosphere (UTLS) altitude range from space-borne observations of the scattered solar light made in limb viewing geometry. First results using measurements from SCIAMACHY (Scanning Imaging Absorption spectroMeter for Atmospheric CHartographY) aboard ENVISAT (Environmental Satellite) are presented here. In previous publications, the retrieval of water vapor vertical distributions has been achieved exploiting either the emitted radiance leaving the atmosphere or the transmitted solar radiation. In this study, the scattered solar radiation is used as a new source of information on the water vapor content in the UTLS region. A recently developed retrieval algorithm utilizes the differential absorption structure of the water vapor in 1353–1410 nm spectral range and yields the water vapor content in the 11–25 km altitude range. In this study, the retrieval algorithm is successfully applied to SCIAMACHY limb measurements and the resulting water vapor profiles are compared to in situ balloon-borne observations. The results from both satellite and balloon-borne instruments are found to agree typically within 10 %.

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