Zhang Zhijiang, Lin Aiwen, Zhao Lin, Zhao Bingyu
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.
Sci Total Environ. 2022 Jun 20;826:154104. doi: 10.1016/j.scitotenv.2022.154104. Epub 2022 Feb 24.
Irrigation substantially alters land surface temperature (LST) in different regions of the world. Studies have recently focused on quantifying irrigation-induced LST change based on remote sensing technology due to its high spatiotemporal resolution. However, the biophysical mechanisms of irrigation on LST remains poorly understood. Here we first investigated the impact of irrigation on LST during 2003-2012 over the North China Plain (NCP), which is one of the most intensively irrigated areas around the word. We then attributed the mechanisms underlying LST change between adjacent irrigated and non-irrigated croplands based on two surface energy balance-based methods: the Decomposed Temperature Metric (DTM) method and the intrinsic biophysical mechanism (IBM) method. The results indicate that at annual scale, irrigation produce an overall cooling effect over the NCP, with the mean observed LST change of -0.098 K, calculated LST change of -0.096 K for DTM method and -0.165 K for IBM method, respectively. Furthermore, the agreement between the annual observed and calculated LST difference indicate that DTM is a more robust method than IBM in quantifying irrigation-induced LST change over the NCP. The attribution method DTM reveals that components of albedo and emissivity has an average cooling effect of -0.012 K and -0.005 K, respectively, while incoming radiation lead to a weak warming effect of +0.01 K. The enhanced turbulent fluxes of latent heat flux dominate the cooling effect (-0.174 K on average), further offsets the sensible heat flux warming effect (+0.085 K). Another attribution method IBM demonstrates that the annual cooling effect of irrigation is mostly induced by changes in aerodynamic resistance (-0.175 K), whereas the biophysical contributions of albedo (-0.0005 K) and Bowen ratio (+0.001 K) have a negligible impact on LST. This study provides a useful reference for assessing local climate impact of irrigation when implementing environmental protection projects.
灌溉显著灌溉在世界不同地区显著改变了地表温度(LST)。由于其高时空分辨率,近期研究聚焦于基于遥感技术量化灌溉引起的LST变化。然而,灌溉对LST的生物物理机制仍知之甚少。在此,我们首先研究了2003 - 2012年期间灌溉对华北平原(NCP)LST的影响,华北平原是世界上灌溉最为密集的地区之一。然后,我们基于两种基于地表能量平衡的方法:分解温度度量(DTM)方法和内在生物物理机制(IBM)方法,归因了相邻灌溉农田和非灌溉农田之间LST变化的机制。结果表明,在年尺度上,灌溉对华北平原产生了总体降温效应,观测到的LST平均变化为 -0.098K,DTM方法计算的LST变化为 -0.096K,IBM方法计算的LST变化为 -0.165K。此外,年度观测和计算的LST差异之间的一致性表明,在量化华北平原灌溉引起的LST变化方面,DTM方法比IBM方法更稳健。归因方法DTM表明,反照率和发射率成分的平均降温效应分别为 -0.012K和 -0.005K,而入射辐射导致微弱的升温效应 +0.01K。潜热通量增强的湍流通量主导了降温效应(平均为 -0.174K),进一步抵消了感热通量升温效应(+0.085K)。另一种归因方法IBM表明,灌溉的年度降温效应主要由空气动力学阻力变化引起(-0.175K),而反照率(-0.0005K)和鲍文比(+0.001K)的生物物理贡献对LST的影响可忽略不计。本研究为实施环境保护项目时评估灌溉对当地气候的影响提供了有用的参考。