Suppr超能文献

土地利用、气候变化和水文模型结构对硝酸盐通量的影响:幅度和不确定性。

Impacts of land use, climate change and hydrological model structure on nitrate fluxes: Magnitudes and uncertainties.

机构信息

Geological Survey of Denmark and Greenland, GEUS, Oester Voldgade 10, Copenhagen 1350, Denmark.

Geological Survey of Denmark and Greenland, GEUS, Oester Voldgade 10, Copenhagen 1350, Denmark.

出版信息

Sci Total Environ. 2022 Jul 15;830:154671. doi: 10.1016/j.scitotenv.2022.154671. Epub 2022 Mar 22.

Abstract

Nitrate pollution and eutrophication are of increasing concern in agriculturally dominated regions, and with projected future climate changes, these issues are expected to worsen for both surface and groundwater. Changes in land use and management have the potential to mitigate some of these concerns. However, to what extent these changes will interact is unknown, and are associated with significant uncertainty. Here, we estimate nitrate fluxes and contributions of major uncertainty sources (variance decomposition analysis) affecting nitrate leaching from the root zone and river load from groundwater sources for an agricultural catchment in Denmark under future changes (2080-2099) in climate (four climate models) and land use (four land use scenarios). To investigate the uncertainty from impact model choice, two different agro-hydrological models (SWAT and DAISY-MIKE SHE) both traditionally used for nitrate impact assessments are used for projecting these effects. On average, nitrate leaching from the root zone increased by 55%-123% due to different climate models, while the impact of land use scenarios showed changes between -9% and 88%, with similar projections for river loads, while the worst-case combination of the three factors yielded a fivefold increase in nitrate transport. Thus, in the future, major land use changes will be necessary to mitigate nitrate pollution likely in combination with other measures such as advanced management and farming technologies and differentiated regulation. The two agro-hydrological models showed substantially different reaction patterns and magnitude of nitrate fluxes, and while the largest uncertainty source was the land use scenarios for both models, DAISY-MIKE SHE was to a higher degree affected by climate model choice. The dominating uncertainty source was found to be the agro-hydrological model; however, both uncertainties related to land use scenario and climate model were important, thus highlighting the need to include all influential factors in future nitrate flux impact studies.

摘要

硝酸盐污染和富营养化在农业为主的地区日益受到关注,预计随着未来气候变化,地表水和地下水的这些问题都将恶化。土地利用和管理的变化有可能缓解其中的一些问题。然而,这些变化将如何相互作用尚不清楚,并且存在很大的不确定性。在这里,我们根据未来(2080-2099 年)气候变化(四个气候模型)和土地利用(四个土地利用情景)的变化,估计硝酸盐通量和主要不确定性来源(方差分解分析)对丹麦农业流域根区硝酸盐淋失和地下水河川负荷的影响。为了研究模型选择的不确定性,我们使用了两种传统上用于硝酸盐影响评估的不同农业水文模型(SWAT 和 DAISY-MIKE SHE)来预测这些影响。平均而言,由于不同的气候模型,根区硝酸盐淋失增加了 55%-123%,而土地利用情景的影响则在-9%和 88%之间变化,河川负荷的预测结果相似,而三个因素的最坏组合导致硝酸盐输送增加了五倍。因此,未来可能需要进行重大的土地利用变化,以缓解硝酸盐污染,可能还需要结合其他措施,如先进的管理和耕作技术以及差异化的监管。两种农业水文模型表现出截然不同的硝酸盐通量反应模式和幅度,尽管最大的不确定性来源是两个模型的土地利用情景,但 DAISY-MIKE SHE 受到气候模型选择的影响更大。占主导地位的不确定性来源是农业水文模型;然而,与土地利用情景和气候模型相关的不确定性都很重要,因此突出了在未来硝酸盐通量影响研究中纳入所有相关因素的必要性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验