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    丹江口库区上游水环境质量时空变化与总氮污染源解析

    Spatiotemporal water quality variations and the nitrogen pollution sources analysis in the upper reaches of Danjiangkou reservoir area

    • 摘要:
      研究目的 为评估南水北调中线工程通水初期水源地水环境质量,明确制约水质的关键污染因子及其来源。
      研究方法 本研究以丹江口库区上游(2016-2019年)年度水质监测数据为对象,优选高锰酸盐指数、氨氮、总磷、总氮、硫化物、粪大肠菌群6项指标,采用综合污染指数法与污染分担率评价水质时空变化,并利用污水处理厂相关数据和输出系数法(ECM)分别估算点源、农业面源TN负荷,依据水文数据核算主要入库河流TN通量及贡献。
      研究结果 2016-2019年,除总氮外,其余指标浓度均显著下降,至2019年多数断面已达或趋近Ⅱ类标准。总氮浓度则逐年上升,空间上以汉江干流源头下游的A6(汉中盆地段)、丹江流域入库断面A12最为突出,且2019年大部分断面超Ⅱ类标准5倍以上,污染分担率达67%~85%,总氮已成为制约水质的首要因子。从断面水质看,汉中、十堰两市所在河段(A1~A10中上游汉中段、A12丹江及库周支流)总氮升幅与超标程度均高于安康、商洛河段;汉江干流自源头至汉中盆地段(A1~A6)浓度逐级抬升,A6为全线高值断面;丹江入库断面A12及库周支流受城镇与农业复合输入影响,2019年超Ⅱ类限值5~7倍,是库湾与入库口的首要氮源;两市河段的浓度梯度与负荷贡献排序(汉江入库量占64.37%、丹江次之)相互印证,表明断面水质差异主要由上游负荷强度决定,而非径流稀释单独所致。农业面源是库区TN主要来源,2016-2017年贡献率排序为畜禽养殖(约38%)>农田种植(约34%)>农村生活(约27%),呈三者复合主导格局;2018年后因畜禽出栏量下降、旱涝交替叠加化肥流失,农田种植贡献率升至约39%而跃居首位。点源方面,城镇污水处理厂出水TN浓度(5.40~7.96 mg/L)满足《城镇污水处理厂污染物排放标准》(GB 18918-2002)一级A标准(15 mg/L),但因超地表水Ⅱ类标准(0.5 mg/L)10倍以上,在排放口附近仍为局部浓度高值区。汉江是库区TN入库的核心通道,入库量占64.37%,需削减44449.9 t/a,其次为堵河与丹江,主要入库河流均需实施TN总量控制。
      结论 本研究可为南水北调中线水源地构建从“源头(重点地市)-途径(主要河流)-目标(库区)”的全链条总氮长期动态评估及适应性管理策略提供可比基准。

       

      Abstract:
      This paper is the result of hydrogeological survey engineering.
      Objective To evaluate the water environment quality of the water source area during the initial stage of the South-to-North Water Diversion Project's Middle Route and to identify the key pollution factors limiting water quality and their sources.
      Methods This study utilizes annual water quality monitoring data from the upper reaches of the Danjiangkou reservoir area (2016-2019) as the research subject. Six indicators were selected for evaluation: Permanganate index, ammonia nitrogen, total phosphorus, total nitrogen, sulfide, and fecal coliforms. The comprehensive pollution index method and pollution contribution rate were employed to assess the spatiotemporal variations in water quality. Additionally, data from wastewater treatment plants and the export coefficient model (ECM) were used to estimate point-source and agricultural non-point-source total nitrogen (TN) loads, respectively. Based on hydrological data, the TN flux and contribution of the main inflow rivers were calculated.
      Results From 2016 to 2019, concentrations of all evaluated indicators except total nitrogen (TN) declined markedly, and by 2019 most monitoring sections had met or were approaching the Grade Ⅱ criterion of the Environmental Quality Standards for Surface Water (GB 3838-2002). TN concentrations, by contrast, increased steadily. Spatially, enrichment was most pronounced at section A6 (Hanzhong Basin reach of the Hanjiang River, downstream of the headwater zone) and section A12 (Danjiang River inflow section); by 2019, TN at most sections exceeded the Grade Ⅱ limit (0.5 mg/L) by more than fivefold and accounted for 67%–85% of the total pollution load, making TN the dominant factor constraining water quality in the source area. At the section level, the reaches under Hanzhong and Shiyan jurisdictions (sections A1–A10, middle-upper Hanjiang, together with the Danjiang inlet A12 and its surrounding tributaries) showed steeper TN increases and more severe exceedance than those under Ankang and Shangluo. Along the Hanjiang mainstem, concentrations rose progressively from the headwaters to the Hanzhong Basin (A1–A6), with A6 marking the river-wide maximum. At the Danjiang inlet A12 and the adjacent tributaries, compounded urban and agricultural inputs drove TN in 2019 to 5–7 times the Grade Ⅱ limit, establishing this area as the primary nitrogen source for the reservoir bays and inlet zone. The spatial concentration gradient across these reaches is consistent with the ranking of inflow contributions (Hanjiang 64.37%, followed by the Danjiang), indicating that section-level differences are governed primarily by upstream load intensity rather than by riverine dilution. Source-apportionment results identify non-point sources as the dominant TN input to the reservoir. In 2016–2017, the contribution ranking was livestock and poultry farming (~38%) > cropland runoff (~34%) > rural domestic sewage (~27%), a compound-dominated regime involving all three sources. After 2018, declining livestock inventories reduced the intensity of the breeding-source input, while alternating drought and flood conditions intensified nitrogen loss from fertilized cropland; cropland runoff consequently rose to ~39% and overtook the other sources to become the leading contributor. Regarding point sources, effluent TN from urban wastewater treatment plants (5.40–7.96 mg/L) met the Class 1A standard (15 mg/L) of the Discharge Standard of Pollutants for Municipal Wastewater Treatment Plants (GB 18918-2002), but still exceeded the surface-water Grade Ⅱ criterion (0.5 mg/L) by over an order of magnitude, sustaining localized concentration hotspots in the immediate vicinity of the outfalls. The Hanjiang River is the core TN delivery pathway, contributing 64.37% of the total inflow and requiring a reduction of 44,449.9 t/a; the Duhe and Danjiang rivers rank next. TN total-load control is therefore required for all major inflow rivers.
      Conclusions This study can provide a comparable baseline for establishing a long-term dynamic assessment and adaptive management strategy for total nitrogen (TN) along the entire chain—from "sources (key cities)" to "pathways (major rivers)" and finally to the "target (reservoir area)"—in the water source region of the South-to-North Water Diversion Middle Route.

       

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