Spatial distribution of incoming potential solar radiation based on solar analyst model and DEM in Xinjiang, China

2009 ◽  
Author(s):  
Jun Li
Keyword(s):  
Spatial Distribution ◽  
Solar Radiation ◽  
Solar Analyst

scholarly journals Modeling the spatial distribution of Global Solar Radiation (GSR) over Ghana using the Ångström-Prescott sunshine duration model

2019 ◽  
Vol 4 ◽  
pp. e00094
Author(s):  
Prince Junior Asilevi ◽  
Emmanuel Quansah ◽  
Leonard Kofitse Amekudzi ◽  
Thompson Annor ◽  
Nana Ama Browne Klutse
Keyword(s):  
Spatial Distribution ◽  
Solar Radiation ◽  
Sunshine Duration ◽  
Global Solar Radiation ◽  
Duration Model

scholarly journals A regional model to predict the distribution patterns of alpine permafrost in the western part of the Qilianshan Mountains, on the northeastern edge of the Qinghai-Tibetan Plateau

2009 ◽  
Vol 6 (4) ◽  
pp. 5243-5278
Author(s):  
Y. Sheng ◽  
J. Li ◽  
J. Wu ◽  
B. Ye ◽  
J. Wang
Keyword(s):  
Spatial Distribution ◽  
Tibetan Plateau ◽  
Solar Radiation ◽  
Distribution Patterns ◽  
Field Investigation ◽  
Regional Model ◽  
Distribution Map ◽  
Frozen Ground ◽  
Ground Temperatures ◽  
Incoming Solar Radiation

Abstract. A field investigation and measurement of ground temperatures in boreholes was carried out in the upper area of Shule River in the western part of the Qilianshan Mountains, in the northeast of the Qinghai-Tibetan Plateau in 2008. On the basis of this a sketchy distribution pattern of permafrost in this area was established. A regional permafrost model considering the effects of latitude, altitude, slope and aspect on distribution of permafrost was developed. The effect of latitude was calculated by the Gauss curve as proposed by Cheng, and then added to the effect of altitude. A linear relationship was found between altitude and the measured ground temperatures. For the effects of slope and aspect which mainly affected the amount and spatial distribution of the incoming solar radiation, a linear equation based on increments of the incoming solar radiation and the changes in ground temperature was used to evaluate their influence on the development of permafrost. A distribution map of the frozen ground, as well as a classification map of permafrost based on ground temperatures was produced using the ARCGIS software. In addition, the spatial distribution patterns of frozen ground and each permafrost type in this region were also analyzed.

scholarly journals Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1108 ◽  
Author(s):  
Xiaodan Zhang ◽  
Jian Lv ◽  
Jianming Xie ◽  
Jihua Yu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Solar Radiation ◽  
Heat Storage ◽  
Light Environment ◽  
Beam Radiation ◽  
Growth Environment ◽  
The North ◽  
Cloudy Weather ◽  
Solar Greenhouse ◽  
North Wall

Solar radiation is the sole energy source for Chinese solar greenhouse agriculture. A favorable light environment is the foundation of a desirable crop growth environment, and it is key in solar greenhouse design. In this study, a mathematical model is established to quantitatively evaluate the solar greenhouse light environment. The model was developed considering the greenhouse shape parameters, materials’ optical properties, and interior solar radiation evolution, including the beam radiation, diffuse radiation, and multi-reflection. The model was validated under different weather conditions, and the results reveal a mean percentage error of 1.67 and 10.30% for clear sunny weather and cloudy weather, respectively, and a determination coefficient of 0.9756. By using this model, the solar radiation allocation in a solar greenhouse was calculated to determine the solar radiation availability for the heat-storage north wall and the entire greenhouse, and the dynamical spatial distribution of the solar radiation was obtained to describe the light environment quality. These allow the optimization of the greenhouse lighting regulation and planting pattern. Moreover, several optimizing measures are derived according to the model for improving the low-light environment near the north wall and maximizing the north wall’s heat storage/release capacity in a solar greenhouse.

The spatial distribution of solar radiation under a melting Arctic sea ice cover

2011 ◽  
Vol 38 (22) ◽  
pp. n/a-n/a ◽  
Author(s):  
Karen E. Frey ◽  
Donald K. Perovich ◽  
Bonnie Light
Keyword(s):  
Spatial Distribution ◽  
Solar Radiation ◽  
Sea Ice ◽  
Ice Cover ◽  
Arctic Sea Ice ◽  
Arctic Sea

Potential evapotranspiration change and its attribution in the Qinling Mountains and surrounding area, China, during 1960–2012

2016 ◽  
Vol 7 (3) ◽  
pp. 526-541 ◽  
Author(s):  
Chong Jiang ◽  
Zhen Nie ◽  
Xingmin Mu ◽  
Fei Wang ◽  
Wenfeng Liu
Keyword(s):  
Spatial Distribution ◽  
Wind Speed ◽  
Solar Radiation ◽  
Temporal Variation ◽  
Quantitative Study ◽  
Diurnal Temperature Range ◽  
Potential Evapotranspiration ◽  
Seasonal Distribution ◽  
Qinling Mountains ◽  
Surrounding Area

Based on the observational data of 47 meteorological stations in the northern and southern regions of the Qinling Mountains (NSQ) during 1960–2012, this paper estimated the potential evapotranspiration (ET0) by using the Penman–Monteith method. Further, a quantitative study was conducted of the ET0 spatial distribution pattern, temporal variation rules, influencing factors and attributions. The conclusions were as follows. (1) The spatial distribution of annual ET0 in NSQ decreased from northeast to southwest. The seasonal distribution was summer > spring > autumn > winter. (2) Further, 1979 and 1993 were the turning points of the ET0 trend, at which the value began to decrease or increase over the whole region and sub-regions. At the seasonal scale, in the period of 1960–1979, ET0 in spring, summer, and winter presented a decreasing trend; however, it increased slightly in autumn. During 1980–1993, ET0 in most seasons showed a downward trend except for autumn; in the period of 1994–2012, ET0 declined in summer and autumn, however it increased slightly in spring and winter. (3) The diurnal temperature range during 1960–1979 contributed most to ET0. The decrease of wind speed and solar radiation were the main cause of the ET0 decrease during 1980–2012, which offset the effect of the increase in temperature.

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