摘要
结合农业生态系统特征,以实例展示了在仅有短期有限野外监测数据及少量野外试验条件下,通过合理概化、参数分步识别与过程综合分析等,使模型识别的可靠性提高,成功地建立了农业生态系统地下水氮面源污染数值模型,并反演出表征农业氮面源污染特征的地下水入渗补给强度和氮补给量.本研究对定量评价农业生态系统地下水氮面源污染,特别是对野外基本调查工作部署与根据有限的基本数据较好地模拟识别特征参数,具有一定借鉴意义.
A numerical model is presented for simulating groundwater contamination from the non-point sources of nitrogen in an agricultural ecosystem. We successfully established a model based on only the short-term and limited observed field data and field tests through the reasonable conceptualizations, stepwise parameter calibrations, and process integrations, which made the calibrated model more reliable. The recharge rates and nitrogen loading into groundwater were obtained by the inverse modeling approach. The results obtained would be informative for quantitative understanding of groundwater contamination from the non-point sources of nitrogen in agricultural ecosystems, especially for effective monitoring and model parameter estimations.
出处
《中国科学院研究生院学报》
CAS
CSCD
北大核心
2009年第6期774-780,共7页
Journal of the Graduate School of the Chinese Academy of Sciences
基金
中国科学院“百人计划”项目资助
关键词
地下水
农业面源污染
数值模拟
模型参数反演
groundwater, agricultural non-point source contamination, numerical modeling, inverse approach