Evapotranspiration Analysis in Central Italy: A Combined Trend and Clustering Approach

被引：4

作者：

Di Nunno, Fabio ^{[1
]}

Diodato, Nazzareno ^{[2
]}

Bellocchi, Gianni ^{[3
]}

Tricarico, Carla ^{[1
]}

de Marinis, Giovanni ^{[1
]}

Granata, Francesco ^{[1
]}

机构：

[1] Univ Cassino & Southern Lazio, Dept Civil & Mech Engn DICEM, Via G Biasio 43, I-03043 Cassino, Italy

[2] Met European Res Observ Int Affiliates Program Uni, Via Pino 47, I-82100 Benevento, Italy

[3] Univ Clermont Auvergne, INRAE, VetAgro Sup, UREP, F-63001 Clermont Ferrand, France

来源：

CLIMATE | 2024年 / 12卷 / 05期

关键词：

reference evapotranspiration; trend analysis; Mann-Kendall test; Mediterranean climate; CLIMATE-CHANGE; RIVER-BASIN;

D O I：

10.3390/cli12050064

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Climate change is increasingly influencing the water cycle, hindering the effective management of water resources in various sectors. Lazio, central Italy, exhibits a wide range of climatic conditions, stretching from the Tyrrhenian coast to the Apennines. This study assessed a crucial aspect of climate change, focusing specifically on reference evapotranspiration (ETo) and its associated hydrological variables. The seasonal Mann-Kendall (MK) test was used to assess trends in gridded data. The K-means algorithm was then applied to divide Lazio into four homogeneous regions (clusters), each characterized by distinct trends in hydrological variables. The analysis revealed statistically significant increasing trends (p <= 0.01) in temperature, solar radiation, and ETo, with more marked effects observed in the coastal and hilly clusters. In contrast, statistically significant decreasing trends (p <= 0.01) were observed for relative humidity, while no statistically significant trends (p > 0.01) were observed for precipitation. This study's methodology, combining trend analysis and clustering, provides a comprehensive view of ETo dynamics in Lazio, aiding in pattern recognition and identifying regions with similar trends.

引用

页数：15

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