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Factors influencing critical and target loads for the acidification of lake-watersheds in the Adirondack region of New York

机译:影响纽约阿迪朗达克地区湖泊流域酸化的关键和目标负荷的因素

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Critical loads (CLs) and target loads (TLs) are tools used to guide air emissions control strategies for recovery of forest and aquatic ecosystems impacted by elevated atmospheric deposition. We use the dynamic hydrochemical model-PnET-BGC (photosynthesis evapotranspiration biogeochemical) to evaluate biophysical factors that affect CLs and TLs of acidity for the Constable Pond watershed, as an example of a chronically acidic drainage lake in the Adirondack region of New York, USA. These factors included a range of future scenarios of decreases in atmospheric nitrate, ammonium and sulfate deposition from present to 2200; historical forest harvesting; supply of naturally occurring organic acids; and variations in lake hydraulic residence time. Simulations show that decreases in sulfate deposition were more effective in increasing lake acid neutralizing capacity (ANC) than equivalent decreases in nitrate deposition, 4.6 times greater in 2040-2050 but decreasing to 2 times greater by 2200. Future lake ANC is anticipated to increase to a greater extent when the watershed experiences past forest cutting compared to a scenario without historical land disturbance. Under higher rates of watershed supply of naturally occurring dissolved organic carbon (DOC similar to 1000 A mu mol C/L), ANC is lower than under relatively low DOC supply (similar to 100 A mu mol C/L) due to strongly acidic functional groups associated with dissolved organic matter. Lakes with longer hydrologic residence time exhibit less historical acidification and can achieve a greater ANC from recovery than lakes with shorter hydrologic residence times due to in-lake production of ANC. This study improves understanding of how biogeochemical processes at the landscape level can influence the rate and extent of recovery of lake-watersheds in response to decreases in atmospheric deposition.
机译:临界负荷(CL)和目标负荷(TL)是用于指导空气排放控制策略的工具,这些策略用于恢复受大气沉积增加影响的森林和水生生态系统。我们使用动态水化学模型-PnET-BGC(光合作用蒸发蒸腾生物地球化学)来评估影响康士伯特池流域酸度CL和TL的生物物理因素,以美国纽约阿迪朗达克地区的一个慢性酸性排水湖为例。这些因素包括未来从大气中硝酸盐,铵和硫酸盐的沉积物减少到目前的2200种情况;历史森林采伐;供应天然有机酸;和水力停留时间的变化。模拟表明,硫酸盐沉积的减少比硝酸盐沉积的减少要更有效地增加湖泊酸中和能力(ANC),2040-2050年将增加4.6倍,但到2200年将减少至2倍。未来的湖泊ANC预计将增加到与没有历史土地干扰的情况相比,该流域经历了森林砍伐的更大范围。在自然产生的溶解有机碳分水供应速率较高(DOC类似于1000 Aμmol C / L)的情况下,由于强酸性功能,ANC低于相对较低的DOC供应量(类似于100 Aμmol C / L)。与溶解有机物有关的基团。具有较长水文停留时间的湖泊比具有较短水文停留时间的湖泊由于在湖中生产ANC,其历史酸化程度较小,并且从恢复中可实现更大的ANC。这项研究使人们更好地了解了景观水平上的生物地球化学过程如何响应于大气沉积的减少而影响湖泊流域恢复的速度和程度。

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