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基于模型推断法确定邛海总磷总氮浓度的参照状态

ISSN号：1674-991X
期刊名称：环境工程技术学报
时间：2012.5.5
页码：200-206
分类：X524[环境科学与工程—环境工程]
作者机构：[1]合肥工业大学土木与水利工程学院,安徽合肥230009, [2]合肥工业大学水资源与环境系统工程研究所,安徽合肥230009, [3]中国环境科学研究院,北京100012
相关基金：国家水体污染控制与治理科技重大专项（2009ZX07106-001）;国家自然科学基金项目（51079037,51109052）
相关项目：流域水资源系统脆弱性智能诊断评价与调控理论和应用

关键词： SCS, USLE, 总磷, 总氮, 参照状态, 邛海, soil conservation service, universal soil erosion equation, total phosphorus, total nitrogen, reference conditions , Lake Qionghai

中文摘要：

将流域入湖的氮磷负荷分为点源和非点源两部分，基于SCS模型和USLE模型，分别计算了流域入湖的溶解态和颗粒态非点源负荷，根据沿湖城镇、湖滨居民点生活污水及养殖废水排放，计算了人湖的点源负荷。通过出湖河流、湖内取水和渔产捕捞，计算了出湖的营养物负荷。通过计算的出、入湖负荷和现有的湖泊水体氮磷浓度数据，基于湖泊氮磷质量守恒，计算了氮磷的净沉降速度。根据计算的逐年入湖氮磷负荷和所建的湖泊氮磷质量守恒模型，逆推逐年的湖泊水体氮磷浓度，确定湖泊氮磷浓度的参照状态。应用建立的模型推断出邛海TP、TN浓度的参照状态分别为0．018和0．239mg／L。构建的湖泊氮磷参照状态推断模型，所需资料少，概念清晰，在资料缺乏的其他湖泊流域具有推广应用价值。

英文摘要：

The nitrogen and phosphorus loadings into the lake are divided into two pans： point sources and nonpoint sources. The Soil Conservation Service （SCS） model and Universal Soil Loss Equation （USLE） model were respectively employed to estimate the non-point source loadings of dissolved nitrogen and phosphorus into the lake. The point source loadings of nitrogen and phosphorus were estimated according to the discharge of lakeside domestic and livestock wastewater. The nutrient loadings out of the lake were calculated on the basis of rivers out of the lake, water intake and fishing in the lake. With this calculated loadings out of and into the lake and the currently available data on total nitrogen and total phosphorus concentrations of in the lake, and based on the principle of mass conservation of total nitrogen and total phosphorus, the net sedimentation velocity of total nitrogen and total phosphorus was calculated. Then, the previous annual average concentrations of total nitrogen and total phosphorus in the lake could be obtained by backward inference, and the reference conditions for total nitrogen and total phosphorus could be established. Based on the proposed model, the reference conditions for total nitrogen and total phosphorus in Lake Qionghai were 0. 018 and 0. 239 mg/L, respectively. The proposed reference conditions inference model required less data with clear physical concept. Thus, the proposed approach could be used in other lakes lacking sufficient data.

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