Spatial and temporal variability of rainfall in Western Bahia

Charles Cardoso Santana, Marcos Antônio Vanderlei Silva, Silas Alves Souza, Igor Araújo Barbosa, Francimar Carvalho Gonçalves, Herlândia Cotrim Santos, Thatyane Kary Grigorio De Souza, Alexandre Boleira Lopo
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Abstract

Western Bahia is a region widely recognized for its significance in large-scale agricultural production, being one of the mainstays of the local economy. However, agricultural activities in this area are often challenged by extended periods of low precipitation, posing a constant threat to the productivity of major crops. Deep concerns are raised by unpredictability of rainfall, especially in February during the critical period of crops, which encompasses the flowering and/or grain filling stages of most crops in the region. In this scenario, this study assumes a central role in search for answers. Thus, this paper aimed to analyze the behavior of spatial and temporal variability of rainfall in the Western region of Bahia. The research focused on the month of February due to its critical relevance to the life cycle of local crops and its direct influence in agricultural productivity. Rainfall data were obtained from the stations network of the National Water Agency (ANA) through the Hydroweb platform for the period from 1986 to 2015. The Rain Anomaly Index (RAI) for the month of February was then calculated using equations developed by Rooy (1965). To analyze the space-time variability of drought events in their different intensities, RAI maps were generated containing eight categories ranging from extremely wet to extremely dry, for the measurement and classification of rainfall anomalies in relation to the historical average. The results revealed that throughout the analyzed period, approximately 53.33% of the February months exhibited negative anomalies, denoting drought events ranging from mild to extreme, while approximately 30% of the months displayed positive anomalies, indicating moisture levels ranging from low to extremely wet. Notably, in the years with the most significant negative anomalies (drought events), there was a predominance of spatial variability from east to west, with the lowest negative anomalies on the western side and the highest on the eastern side of the region. On the other hand, positive anomalies (wet events) exhibited a predominance of spatial variability from south to north in the region. This study provides valuable insights for the agricultural sector, water resource planning, and environmental management. It underscores the importance of adaptive strategies to address climatic fluctuations and ensure the sustainability of agricultural production in the Western Region of Bahia.
巴伊亚州西部降雨量的时空变异性
巴伊亚州西部是公认的大规模农业生产地区,是当地经济的支柱之一。然而,该地区的农业活动经常受到长期降水量偏低的挑战,对主要农作物的产量构成持续威胁。降雨量的不可预测性,尤其是二月份农作物的关键时期(包括该地区大多数农作物的开花期和/或灌浆期)的降雨量,引起了人们的深切关注。在这种情况下,本研究在寻找答案方面发挥了核心作用。因此,本文旨在分析巴伊亚州西部地区降雨量的时空变化行为。研究的重点是二月份,因为它与当地农作物的生命周期密切相关,并对农业生产率有直接影响。研究人员通过 Hydroweb 平台从国家水务局(ANA)的站点网络获取了 1986 年至 2015 年期间的降雨量数据。然后利用 Rooy(1965 年)开发的公式计算出 2 月份的降雨异常指数(RAI)。为分析不同强度干旱事件的时空变异性,生成了包含从极湿到极干八个类别的 RAI 地图,用于测量和分类与历史平均值相关的降雨异常。结果显示,在整个分析期间,约 53.33% 的二月月份呈现负异常,表示从轻微到极端的干旱事件,而约 30% 的月份呈现正异常,表示从低湿到极湿的湿度水平。值得注意的是,在负异常最显著的年份(干旱事件),空间变化主要由东向西,该地区西部的负异常最低,东部最高。另一方面,正异常(湿润事件)在该地区自南向北的空间变化中占主导地位。这项研究为农业部门、水资源规划和环境管理提供了宝贵的见解。它强调了采取适应性战略应对气候波动和确保巴伊亚州西部地区农业生产可持续性的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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