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首页> 外文期刊>Arabian journal of geosciences >Time series assessment of the relationship between land surface temperature due to change in elevation: a case study from Hindukush-Himalayan Region (HKH)
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Time series assessment of the relationship between land surface temperature due to change in elevation: a case study from Hindukush-Himalayan Region (HKH)

机译:时间序列评估陆地表面温度与海拔变化关系的关系 - 以Hindukush-Himalayan地区(HKH)为例

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Environmental studies that include studies related to climate change, change in biodiversity, and hydrology consider land surface temperature (LST) and near-surface air temperature as significant variables to contribute. In this context, we investigated the time series assessment of the relationship between LST and elevation over the two decades (1995-2017) using remotely sensed (Landsat 5, Landsat 7, Landsat 8, MODIS) and ground weather stations' datasets. The study area that is Gilgit-Baltistan, northern province of Pakistan in Hindukush and Himalaya Region (HKH), was selected for quantitative analysis in this study as it has high significance in terms of climate change due to presence of very high and large number of mountains and difficult terrain heavily covered with snow and glaciers. To assess the LST, a linear regression model was developed to quantify the significance of key factors affecting it. Our research results show that there exists a strong negative linear relationship (with correlation coefficient of 0.61 on average) for all datasets (remotely sensed and in situ) between LST and elevation and it is consistent over the study period (1995-2017) for both seasons of winter and summer. Further, there is a difference of change in LST for different seasons (average winter and summer difference is 3.0 degrees C) and for different datasets (Landsat, MODIS, and weather stations' dataset). There is a greater change in LST for change of elevation in 1000 m vertically as compared to change horizontally. Our results indicate that the change trend in LST from 1995 to 2007 is downward with minor variation, however, this trend changes into upward trend from 2007 to 2017. The comparison of results of remotely sensed and weather stations' dataset shows that there is a consistency of change in temperature and LST due to change in elevation. However, there is a less difference in summers (0.76 degrees C) and large difference in winters, i.e., 3.94 degrees C.
机译:包括与气候变化有关的研究,生物多样性变化和水文的环境研究将陆地温度(LST)和近表面空气温度视为有贡献的显着变量。在这方面,我们调查了使用远程感应的(Landsat 5,Landsat 7,Landsat 8,Modis)和地下气象站的数据集在二十年(1995-2017)(1995-2017)中对LST和高度之间关系的时间序列评估。吉尔吉特 - 巴尔塔斯坦的研究区,在印度教和喜马拉雅地区(HKH)中被选中,在本研究中选择了定量分析,因为它在由于存在非常高和大量的气候变化方面具有很高的意义山脉和困难的地形覆盖着雪和冰川。为了评估LST,开发了一种线性回归模型,以量化影响它的关键因素的重要性。我们的研究结果表明,对于LST和高程之间的所有数据集(远程感测和原位)存在强烈的负线性关系(平均相关系数为0.61),并且它在研究期间(1995-2017)一致冬天和夏天的季节。此外,不同季节的LST变化(平均冬季和夏季差异为3.0摄氏度)和不同的数据集(Landsat,Modis和天气站的数据集)差异。与水平改变相比,LST在1000米的升高变化有更大的变化。我们的结果表明,1995年至2007年LST的变化趋势下降了,不断变化,然而,这一趋势从2007年到2017年的向上趋势变化。远程感测和气象站的数据集的结果表明存在一致性升高变化导致温度和LST的变化。然而,夏天(0.76摄氏度)差异较小,冬季差异很大,即3.94℃。

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