基于4种方法的国际河流黑龙江营养物基准制定研究

Research on the establishment of nutrient criteriafor the international river Heilongjiang based on four methods

  • 摘要: 黑龙江作为横跨中国、俄罗斯与蒙古的寒区河流,其营养物基准的科学制定对流域生态安全与可持续发展至关重要。本研究针对流域内农业面源污染引发的富营养化风险及冰封期特殊环境效应,基于2016-2024年干流水质监测数据及2023年浮游动植物与着生藻类生物数据,综合运用群体分布法、三分法、参照点分布法共三种统计分析方法,结合压力源-响应分析法,系统开展营养物基准制定研究。研究筛选出黑龙江pH、电导率(Electrical Conductivity,EC)、溶解氧(Dissolved Oxygen,DO)、高锰酸盐指数(Permanganate Index,CODMn)、重铬酸盐指数(Dichromate Index,CODCr)、五日生化需氧量(Biochemical Oxygen Demand over 5 days, BOD5)氨氮(Ammonia Nitrogen,NH3-N)、总磷(Total Phosphorus,TP)和总氮(Total Nitrogen,TN)共9种作为基准指标,通过分析指标季节变化特征,结合多方法推导基准值。结果显示,各指标基准值分别是:pH为7.35,EC为15.9 ms/m,DO为8.4 mg/L,CODMn为6.0 mg/L,CODCr为15 mg/L,BOD5为1.89 mg/L,NH3-N为0.28 mg/L,TN为0.82 mg/L,TP为0.047 mg/L。同时,提出冰封期营养物基准修正体系,通过降解抑制、修正系数、离子浓缩效应及生物响应偏移校准,得到冰封期各指标预测值,对传统基准在寒区的适用性难题给出了可行性方案。研究建立了“季节分异解析-生态响应验证-多方法协同校准”的三维技术框架,填补了寒区河流营养物基准研究空白,为流域生态补偿、污染治理及水质管理提供了科学依据,为东北亚生态安全与农业面源精准治理提供量化依据,建议未来强化中俄蒙联合监测网络建设,提升基准对气候变化的适应性。

     

    Abstract: The Heilongjiang, a cold-region river spanning China, Russia, and Mongolia, is of critical importance to the ecological security and sustainable development of the basin. Thus, establishing nutrient criteria for this river is of critical importance. This study addresses the risks of eutrophication caused by agricultural non-point source pollution in the basin, as well as the basin's unique environmental effects during the ice-covered period. Using water quality monitoring data from the river's main stem from 2016 to 2024 and biological data on plankton and attached algae from 2023, three statistical analysis methods were applied: the population distribution method, the three-part method, and the reference point distribution method. The study identified the following parameters as benchmark indicators for the Heilongjiang River: pH, electrical conductivity (EC), dissolved oxygen (DO), permanganate index (CODMn), dichromate index (CODCr), five-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH₃-N), total phosphorus (TP), and total nitrogen (TN). Benchmark values were derived by analyzing the seasonal variation characteristics of these indicators and combining multiple methods.The results showed that the reference values for each indicator were as follows:pH: 7.35,EC: 15.9 ms/m,DO: 8.4 mg/L,CODMn: 6.0 mg/L,CODCr: 15 mg/L, BOD₅: 1.89 mg/L, NH₃-N: 0.28 mg/L, and TN: 0.82 mg/L; and TP: 0.047 mg/L. Additionally, a nutrient benchmark correction system was proposed for the ice-covered period. Predicted values for each indicator during the ice-covered period were obtained by applying degradation inhibition, correction factors, ion concentration effects, and biological response offset calibration. This provides a feasible solution to the challenge of applying traditional criteria in cold regions. The study established a three-dimensional technical framework that includes "seasonal differentiation analysis, ecological response verification, and multi-method collaborative calibration." This framework fills a research gap regarding nutrient criteria in cold regions. The framework provides a scientific basis for watershed ecological compensation, pollution control, and water quality management. It also provides quantitative evidence for ecological security and the precise governance of agricultural nonpoint sources in Northeast Asia. In the future, it is recommended that the China-Russia-Mongolia joint monitoring network be strengthened to enhance the adaptability of criteria to climate change.

     

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