Temporal-spatial change characteristics of sunshine duration in Tibet based on spatial interpolation technique and its influence factors

doi:10.3785/j.issn.1008-9209.2017.12.181

Journal of Zhejiang University (Agriculture and Life Sciences)

2019, Vol. 45

Issue (1): 75-84 DOI: 10.3785/j.issn.1008-9209.2017.12.181

Resource utilization & environmental protection

Temporal-spatial change characteristics of sunshine duration in Tibet based on spatial interpolation technique and its influence factors

Haijing YU¹(

),Tingfu CHEN²,Qingguo ZHANG³(

),Ning ZHANG¹,Shijie DONG¹,Mengdi CHENG¹

1. School of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
2. Disaster Reduction and Disaster Preparedness Center of Jiangxi, Nanchang 330036, China
3. School of Science, Anhui Agricultural University, Hefei 230036, China

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Abstract

In order to exploit and use solar energy resources, analyze the influence of climate change on sunshine duration, a spatial interpolation model was evaluated by various similarity coefficients and the optimal model was selected to study the spatial distribution characteristics of Tibet sunshine duration. Combined with sunshine duration of 52 meteorological stations in Tibet and the surrounding area during 1971 to 2015, the temporal change characteristics of sunshine duration in Tibet was analyzed. Results showed that the interpolation algorithm of Kriging spherical model could simulate Tibet sunshine duration quite well. The Tibet sunshine duration generally had a change tendency of gradual increase from east to west and from south to north. The Tibet’s annual sunshine duration had a decline tendency, and abnormal years mainly appeared in the 1980s. According to the topographic features of Tibet, the sunshine duration in the four areas was studied, which were Himalaya High Mountain (HHM), Eastern Tibet High Mountain (ETHM), Southern Tibet Lake Basin Valley Area (STLBA), Northern Tibet Plateau (NTP). The results showed that the annual sunshine duration of ETHM had a slight upward trend, other three areas showed a downward trend. The seasonal changes of sunshine duration in the four areas were as follows: In spring, NTP’s sunshine duration showed an increasing tendency. In summer, the sunshine duration of all the four areas showed a decline tendency. In autumn, the sunshine duration of all regions showed an increasing tendency except for NTP. In winter, the sunshine duration of all the four areas showed an increasing tendency. It was concluded that precipitation had the greatest impact on sunshine duration by analysis of four meteorological factors.

Key words： Tibet spatial interpolation sunshine duration temporal-spatial change characteristics influence factors

Received: 18 December 2017 Published: 28 March 2019

CLC:

P 4

Corresponding Authors: Qingguo ZHANG E-mail: yuhaijing93@163.com;qgzhang@ahau.edu.cn

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	Haijing YU
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	Shijie DONG
	Mengdi CHENG

Cite this article:

Haijing YU,Tingfu CHEN,Qingguo ZHANG,Ning ZHANG,Shijie DONG,Mengdi CHENG. Temporal-spatial change characteristics of sunshine duration in Tibet based on spatial interpolation technique and its influence factors. Journal of Zhejiang University (Agriculture and Life Sciences), 2019, 45(1): 75-84.

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http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2017.12.181 OR http://www.zjujournals.com/agr/Y2019/V45/I1/75

基于空间插值技术的西藏日照时数时空变化特征及其影响因素

为开发利用西藏地区太阳能资源，分析气候变化对日照时数的影响，本文运用多种相似系数评价空间插值模型，进而选用最优模型研究西藏日照时数的空间分布特征，并结合1971—2015年西藏及其周围地区共52个气象站点的日照时数，分析西藏日照时数的时间变化特征。结果表明：普通克里金（球面函数模型）的插值算法能较好地模拟西藏日照时数。西藏日照时数总体由东向西、由南向北呈现逐渐增加的变化趋势。西藏的年日照时数呈现下降趋势，异常年份主要出现在20世纪80年代。根据地形特征，对西藏喜马拉雅高山区、藏东高山深谷区、藏南山原湖盆谷地区和藏北高原区4个地区的日照时数研究表明，藏东高山深谷区的年日照时数有微弱的上升趋势，其余3个地区都呈下降趋势。这4个地区日照时数的季节变化为：春季藏北高原区的日照时数呈上升趋势；夏季4个地区日照时数都呈下降趋势；秋季除藏北高原区以外日照时数都呈上升趋势；冬季4个地区日照时数都呈上升趋势。通过分析4种气象因素对日照时数的影响，结果表明降水量的影响最大。

关键词： 西藏, 空间插值, 日照时数, 时空变化特征, 影响因素

Fig. 1 Error of predicted and measured values

Table 1 Error of different spatial interpolation models

Fig. 2 Variation of monthly sunshine duration

Fig. 3 Variation of seasonal sunshine duration

Fig. 4 Variation of annual sunshine duration

Table 2 Long term variation of sunshine duration

Table 3 Correlation coefficients between sunshine duration and meteorological factors

Fig. 5 Variation trend between sunshine duration and meteorological factors


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