Abstract Atmospheric deposition (AD) is the transfer of soluble ions found in the atmosphere to the earth's surface by sedimentation (dry deposition) or by their inclusion or solution in raindrops (wet deposition, WAD). In this way, AD links the atmosphere with terrestrial ecosystems, being a key part of biogeochemical cycles. Although numerous investigations have quantified WAD, little is known about the temporal deposition patterns and the factors that control them. The objective of this work was to determine the relationship between the number of days without precipitation (DWP) between two rain events and the WAD magnitude. For this, we worked with AD data of soluble ions (Ca2+, Mg2+, K+, Na+, NH4+, NO3−, Cl− and SO42−) obtained from the National Atmospheric Deposition Program of the United States. This network contains more than 250 collections and measurement sites of WAD that provide information of quantities, trends and geographic distribution of ions contained in rainwater. 198 sites were selected to cover the environmental variability of the US. In addition, each site had atmospheric deposition records between 1994 and 2018. A positive relationship between WAD and DWP was observed in the region analyzed, however the effect of DWP was low. The model proposed achieved to explain much of the variability in wet depositions and demonstrated that, the amount of precipitation of the event and variability between sites strongly influence on WAD. We found that there is a short time interval in which the increase in WAD due to increases in the number of days without rain is greater and occurs between 0 and 5 days.

中文翻译：

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降水间隔对湿大气沉降的影响

摘要 大气沉积 (AD) 是大气中的可溶性离子通过沉积（干沉积）或通过将其包含或溶解在雨滴中（湿沉积，WAD）转移到地球表面。通过这种方式，AD 将大气与陆地生态系统联系起来，成为生物地球化学循环的关键部分。尽管许多调查已经量化了 WAD，但对时间沉积模式和控制它们的因素知之甚少。这项工作的目的是确定两次降雨事件之间的无降水天数 (DWP) 与 WAD 量级之间的关系。为此，我们使用了从美国国家大气沉积计划获得的可溶性离子（Ca2+、Mg2+、K+、Na+、NH4+、NO3-、Cl- 和 SO42-）的 AD 数据。该网络包含 250 多个 WAD 收集点和测量点，提供雨水中所含离子的数量、趋势和地理分布信息。选择了 198 个站点来涵盖美国的环境变化。此外，每个站点都有 1994 年至 2018 年的大气沉降记录。在分析的区域中观察到 WAD 和 DWP 之间存在正相关关系，但 DWP 的影响较低。提出的模型可以解释湿沉降的大部分变异性，并证明事件的降水量和地点之间的变异性对 WAD 有很大影响。我们发现在很短的时间间隔内，由于无雨天数的增加导致 WAD 的增加更大，并且发生在 0 到 5 天之间。