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一种面向过程的水-生物地球化学模型,能够模拟亚热带流域气态碳和氮排放以及水文氮损失。

A process-oriented hydro-biogeochemical model enabling simulation of gaseous carbon and nitrogen emissions and hydrologic nitrogen losses from a subtropical catchment.

机构信息

State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, PR China.

Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Hunan 410125, PR China.

出版信息

Sci Total Environ. 2018 Mar;616-617:305-317. doi: 10.1016/j.scitotenv.2017.09.261. Epub 2017 Nov 6.

Abstract

Quantification of nitrogen losses and net greenhouse gas (GHG) emissions from catchments is essential for evaluating the sustainability of ecosystems. However, the hydrologic processes without lateral flows hinder the application of biogeochemical models to this challenging task. To solve this issue, we developed a coupled hydrological and biogeochemical model, Catchment Nutrients Management Model - DeNitrification-DeComposition Model (CNMM-DNDC), to include both vertical and lateral mass flows. By incorporating the core biogeochemical processes (including decomposition, nitrification, denitrification and fermentation) of the DNDC into the spatially distributed hydrologic framework of the CNMM, the simulation of lateral water flows and their influences on nitrogen transportation can be realized. The CNMM-DNDC was then calibrated and validated in a small subtropical catchment belonged to Yanting station with comprehensive field observations. Except for the calibration of water flows (surface runoff and leaching water) in 2005, stream discharges of water and nitrate in 2007, the model validations of soil temperature, soil moisture, crop yield, water flows in 2006 and associated nitrate loss, fluxes of methane, ammonia, nitric oxide and nitrous oxide, and stream discharges of water and nitrate in 2008 were statistically in good agreement with the observations. Meanwhile, our initial simulation of the catchment showed scientific predictions. For instance, it revealed the following: (i) dominant ammonia volatilization among the losses of nitrogenous gases (accounting for 11-21% of the applied annual fertilizer nitrogen in croplands); (ii) hotspots of nitrate leaching near the main stream; and (iii) a net GHG sink function of the catchment. These results implicate the model's promising capability of predicting ecosystem productivity, hydrologic nitrogen loads, losses of gaseous nitrogen and emissions of GHGs, which could be used to provide strategies for establishing sustainable catchments. In addition, the model's capability would be further proved by applying in other catchments with different backgrounds.

摘要

量化流域的氮损失和净温室气体(GHG)排放对于评估生态系统的可持续性至关重要。然而,没有侧向流的水文过程阻碍了生物地球化学模型在这一具有挑战性任务中的应用。为了解决这个问题,我们开发了一种耦合的水文和生物地球化学模型,即流域养分管理模型-反硝化-分解模型(CNMM-DNDC),以包括垂直和侧向质量流。通过将 DNDC 的核心生物地球化学过程(包括分解、硝化、反硝化和发酵)纳入 CNMM 的空间分布水文框架中,可以实现侧向水流的模拟及其对氮迁移的影响。然后,使用综合野外观测对小型亚热带流域(属于盐亭站)对 CNMM-DNDC 进行了校准和验证。除了 2005 年对水流(地表径流和淋溶水)的校准以及 2007 年对水流和硝酸盐的校准外,2006 年对土壤温度、土壤湿度、作物产量、水流和相关硝酸盐损失、甲烷、氨、一氧化氮和氧化亚氮通量以及 2008 年水流和硝酸盐的模型验证在统计学上与观测结果吻合良好。同时,我们对流域的初步模拟显示出了科学的预测。例如,它揭示了以下几点:(i)氮气体损失中氨挥发的主导地位(占农田施入的年化肥氮的 11-21%);(ii)主流附近硝酸盐淋失的热点;以及(iii)流域的净 GHG 汇功能。这些结果表明该模型具有预测生态系统生产力、水文氮负荷、气态氮损失和 GHG 排放的潜力,可以用来为建立可持续流域提供策略。此外,通过在具有不同背景的其他流域中应用,该模型的能力将得到进一步验证。

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