Integrated Nitrogen CAtchment model (INCA) applied to a tropical catchment in the Atlantic Forest, São Paulo, Brazil
Integrated Nitrogen CAtchment model (INCA) applied to a tropical catchment in the Atlantic Forest, São Paulo, Brazil
复制标题
综合氮捕获模型 (INCA) 应用于巴西圣保罗大西洋森林的热带流域
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Wade
中科院分区：
文献类型：
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作者：
Maurício Ranzini;M. Forti;P. Whitehead;F. Arcova;V. Cicco;A. Wade
摘要。使用集水区综合氮（INCA） 1.9.4版模型模拟了一个小型（36.7公顷）大西洋森林集水区的溪流水流和溪流内硝酸盐和铵的浓度。库尼亚的集水区位于巴西东南部的Serra do Mar州立公园，几乎是原始的，因为最近的主要城市圣保罗和里约热内卢相距约450公里。然而，集约化农业可能会增加氮沉降，城市化的压力也越来越大。在校准和验证期间，充分模拟了月平均排放量和NO3-N浓度动态，NO3-N的（模拟）损失率为6.55 kg.ha−1 yr−1，NH4-N的损失率为3.85 kg.ha−1 yr−1。为了研究未来N沉降水平升高的影响，模拟了不同的大气沉降情景；最高值与圣保罗市大西洋森林高污染区相对应。研究发现，大气沉降增加一倍会使N浸出率增加25%，而在接近高度污染的圣保罗沉降率时，浸出率增加240%，这将造成高度富营养化条件，对下游水质不利。结果表明，INCA模型可用于估算不同大气沉降速率和水文条件下的N浓度和通量。
Abstract. Stream-water flows and in-stream nitrate and ammonium concentrations in a small (36.7 ha) Atlantic Forest catchment were simulated using the Integrated Nitrogen in CAtchments (INCA) model version 1.9.4. The catchment, at Cunha, is in the Serra do Mar State Park, SE Brazil and is nearly pristine because the nearest major conurbations, Sao Paulo and Rio, are some 450 km distant. However, intensive farming may increase nitrogen (N) deposition and there are growing pressures for urbanisation. The mean-monthly discharges and NO3-N concentration dynamics were simulated adequately for the calibration and validation periods with (simulated) loss rates of 6.55 kg.ha−1 yr−1 for NO3-N and 3.85 kg.ha−1 yr−1 for NH4-N. To investigate the effects of elevated levels of N deposition in the future, various scenarios for atmospheric deposition were simulated; the highest value corresponded to that in a highly polluted area of Atlantic Forest in Sao Paulo City. It was found that doubling the atmospheric deposition generated a 25% increase in the N leaching rate, while at levels approaching the highly polluted Sao Paulo deposition rate, five times higher than the current rate, leaching increased by 240%, which would create highly eutrophic conditions, detrimental to downstream water quality. The results indicate that the INCA model can be useful for estimating N concentration and fluxes for different atmospheric deposition rates and hydrological conditions.