validation of empirical and semi-empirical net radiation models versus observed data for cold semi-arid climate condition

نویسندگان

علی اکبر سبزی پرور

بهناز ختار

چکیده

introduction: solar net radiation (rn) is one of the most important component which influences soil heat flux, evapotranspiration rate and hydrological cycle. this parameter (rn) is measured based on the difference between downward and upward shortwave (sw) and longwave (lw) irradiances reaching the earth’s surface. field measurements of rn are scarce, expensive and difficult due to the instrumental maintenance. as a result, in most research cases, rn is estimated by the empirical, semi-empirical and physical radiation models. almorox et al. (2008) suggested a net radiation model based on a linear regression model by using global solar radiation (rs) and sunshine hours. alados et al. (2003) evaluated the relation between rn and rs for spain. they showed that the models based on shortwave radiation works perfect in estimating solar net radiation. in another work, irmak et al. (2003) presented two empirical rn models, which worked with the minimum numbers of weather parameters. they evaluated their models for humid, dry, inland and coastal regions of the united states. they concluded that both rn models work better than fao-56 penman-monteith model. sabziparvar et al. (2016) estimated the daily rn for four climate types in iran. they examined various net radiation models namely: wright, basic regression model (brm), linacre, berliand, irmak, and monteith. their results highlighted that on regional averages, the linear brm model has the superior performance in generating the most accurate daily et0. they also showed that for 70% of the study sites, the linear rn models can be reliable candidates instead of sophisticated nonlinear rn models. having considered the importance of rn in determining crop water requirement, the aim of this study is to obtain the best performance rn model for cold semi-arid climate of hamedan. materials and methods: we employed hourly and daily weather data and rn data, which were measured during december 2011 to june 2013 in climatology station of bu-ali sina university. this experiment was performed for the cold semi-arid site of hamedan (iran). the study site (hamedan) is a mountainous research station (1860 meters above sea-level) which is located at the eastern side of central zagros mountain range. the net radiation fluxes were measured by four sw (300-2800 nm) and lw (4500-42000 nm).hukseflux thermal sensors mounted on an automatic logger system. the logger reported four upward and downward solar components in every 8-minute intervals. in this study, total daily net radiation was estimated by 12 empirical and semi-empirical rn models including: basic regression models (brm), extended regression models (erm), linacre, berliand, wright and fao-56 penman-monteith. the model performances were evaluated by r2, rmse, mbe and mpe criteria and the best model was selected accordingly. results and discussion: in this research, the model calculations were done for seasonal and annual time scales. the results indicate that basic regression model rn(brm-4) performs the best estimates in spring time. further, for summer and autumn seasons, rn (brm-3) was superior for the cold semi-arid climate of hamedan. therefore, with the exception of winter, the brm models performed the best estimates. unlike the other seasons, for winter, irmak presented the most accurate results. this is due to the fact that net radiation as estimates by irmak model is mainly dependent on daily maximum (tmax) and minimum temperatures. for irmak model, as the tmax is increased, rn will be reduced proportionally. for this reason, irmak does not perform good estimates for warm months. in annual time scale, the basic regression model of rn (brm-3) presented the most accurate estimates of net radiation. the study of monteith and szeicz (1961)and mirgaloybayat (2011) also showed that rn (brm-3) model can generated the best rn estimate in annual scale for mountain regions. conclusion: unlike the recommendation of fao for using penman-monteith and wright approaches in evapotranspiration models, it was found that the aforesaid rn models are not suitable for cold semi-arid regions such as hamedan. this result is in good agreement with the findings of izoimon et al. (2000) and mirgaloybayat (2011). in general, for cold climate condition of hamedan, the basic regression models are more reliable than the other rn models. this study was performed based on 18-month field data and 12-rn models. to achieve more accurate results, using a longer term experimental data and examining more rn models are suggested as the future works. to achieve a regional rn zoning, inclusion of satellite-based dataset is also recommended.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solar Radiation Estimation from Rainfall and Temperature Data in Arid and Semi-arid Climates of Iran

Precipitation and air temperature data, only, are often recorded at meteorological stations, with radiation beingmeasured at very few weather stations, especially in developing countries. Therefore there arises a need for suitablemodels to estimate solar radiation for a completion of data sets. This paper is about an evaluation of eight models foran estimation of daily solar radiation (Q) from ...

متن کامل

Relationship between net radiation and solar radiation for semi-arid shrub-land

This paper presents the results obtained by analysing a set of measurements of surface radiation balance components at a semi-arid location in SE Spain. The relationships between net and surface shortwave radiation were explored by using 38 months of 5 min surface radiation. The study area is covered by sparse clumped shrub-land of different species, although close to the radiometric station Re...

متن کامل

New Method for Calculation Mixing Rule and Modification Semi-empirical Models for Solubility Modeling in Supercritical Solvent

The critical properties of a solute are required for modeling of the solubility by the equation of state. For many compounds, the critical properties are not available. So, group contribution method is utilized as a common method to estimate these properties. But, it leads to the consecutive errors in calculations of the solubility modeling. In this study, Soave-Redlish-Kowang (SRK) and Peng-Ro...

متن کامل

evaluation and calibration of reference evapotranspiration models according to calculating periods for a cold semi-arid climate

in agricultural practices, reference evapotranspiration (et0) parameters need to be specified for crop water requirement determination. although, the crop water requirement is not an easy task. numerous mathematical models and experimental methods have been developed for this purpose in the entire world. on the other hand, ten-daily and monthly average meteorological data are used in many of ir...

متن کامل

Comparative Study among Different Semi-Empirical Models for Soil Salinity Prediction in an Arid Environment Using OLI Landsat-8 Data

Salt-affected soils, caused by natural or human activities, are a common environmental hazard in semi-arid and arid landscapes. Excess salts in soils affect plant growth and production, soil and water quality and, therefore, increase soil erosion and land degradation. This research investigates the performance of five different semi-empirical predictive models for soil salinity spatial distribu...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید


عنوان ژورنال:
آب و خاک

جلد ۳۰، شماره ۶، صفحات ۲۰۸۷-۰

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023