Impacts of Climatic Change on Reference Crop Evapotranspiration across Different Climatic Zones of Ningxia at Multi-Time Scales from 1957 to 2018. (12th June 2020)

• Record Type: Journal Article
• Authors: Zhao, Ziyang; Wang, Hongrui; Wang, Cheng; Li, Wangcheng; Chen, Hao; Gong, Shuxin
• Other Names: Krakauer Nir Y. Academic Editor.
• Is Part Of: Advances in meteorology. Volume 2020(2020)
• Publication Date: 2020-06-12
• Subjects: Meteorology -- Periodicals; Meteorology; Periodicals; 551.505
• DOI: 10.1155/2020/3156460
• Languages: English
• ISSNs: 1687-9309

Abstract

Abstract : The impact of global climate change on agroecosystems is growing, affecting reference crop evapotranspiration (ET0 ) and subsequent agricultural water management. In this study, the climate factors temporal trends, the spatiotemporal variation, and the climate driving factors of ET0 at different time scales were evaluated across the Northern Yellow River Irrigation Area (NYR), Central Arid Zone (CAZ), and Southern Mountain Area (SMA) of Ningxia based on 20 climatic stations' daily data from 1957 to 2018. The results showed that the T mean (daily mean air temperature), T max (daily maximum air temperature), and T min (daily minimum air temperature) all had increased significantly over the past 62 years, whilst RH (relative humidity), U 2 (wind speed at 2 m height), and SD (sunshine duration) had significantly decreasing trends across all climatic zones. At monthly scale, the ET0 was mainly concentrated from April to September. And at annual and seasonal scales, the overall increasing trends were more pronounced in NX, NYR, and SMA, while CAZ was the opposite. For the spatial distribution, ET0 presented a trend of rising first and then falling at all time scales. The abrupt change point for climatic factors and ET0 series was obtained at approximately 1990 across all climatic zones, and the ET0 had a long period of 25a and a short period of 10a at annual scale, while it was 15a and 5a at seasonal scale. RH and T max were the most sensitive climatic factors at the annual and seasonal scales, while the largest contribution rates were T max and SD. This study not only is important for the understanding of ET0 changes but also provides the preliminary and elementary reference for agriculture water management in Ningxia.