高艺雄,刘玉玉,刘爱华,等. 基于水化学与氮氧同位素的丘陵区水库农业流域硝酸盐来源解析[J]. 农业工程学报,2024,40(21):1-10. DOI: 10.11975/j.issn.1002-6819.202305007
    引用本文: 高艺雄,刘玉玉,刘爱华,等. 基于水化学与氮氧同位素的丘陵区水库农业流域硝酸盐来源解析[J]. 农业工程学报,2024,40(21):1-10. DOI: 10.11975/j.issn.1002-6819.202305007
    GAO Yixiong, LIU Yuyu, LIU Aihua, et al. Nitrate source analysis in an agricultural basin of reservoir in hilly areas based on hydrochemistry, nitrogen and oxygen isotopes[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(21): 1-10. DOI: 10.11975/j.issn.1002-6819.202305007
    Citation: GAO Yixiong, LIU Yuyu, LIU Aihua, et al. Nitrate source analysis in an agricultural basin of reservoir in hilly areas based on hydrochemistry, nitrogen and oxygen isotopes[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(21): 1-10. DOI: 10.11975/j.issn.1002-6819.202305007

    基于水化学与氮氧同位素的丘陵区水库农业流域硝酸盐来源解析

    Nitrate source analysis in an agricultural basin of reservoir in hilly areas based on hydrochemistry, nitrogen and oxygen isotopes

    • 摘要: 硝酸盐污染是水库面临的主要环境问题之一。为解析丘陵区水库流域内硝酸盐来源,该研究选取以农业为主的乔店水库流域为研究区域,结合水化学分析、氮氧同位素示踪技术等方法,利用MixSIAR贝叶斯混合模型,定性和定量识别流域内硝酸盐来源及不同来源的贡献率。水化学分析结果表明,流域内干支流水体水化学类型以HCO3·SO4-Ca型为主,离子组成成分主要受岩石风化溶解控制。水中溶解无机氮的赋存形态主要为硝酸盐氮,硝酸盐氮浓度变化主要受水文气象条件、土地利用类型以及人类活动的影响,具体表现为冰封期>丰水期>消融期>枯水期>汛前期;中上游硝酸盐浓度受小流域内土地利用影响变化较大。水体的δ15N-NO3均值表现为汛前期>消融期>枯水期>冰封期>丰水期;δ18O-NO3均值表现为汛前期>枯水期>丰水期>冰封期>消融期。综合多种解析结果可知,土壤氮和粪便与污水是导致流域硝酸盐浓度变化的最主要因素。MixSIAR模型结果表明,冰封期、消融期和枯水期的硝酸盐主要源自土壤氮和粪便与污水,在冰封期和枯水期的土壤氮占比最高,贡献率分别为37%和36%。汛前期硝酸盐的来源中以粪便与污水为主,且大气沉降的占比增高,贡献率为13%。丰水期受农业面源污染最为严重,土壤氮和化肥对硝酸盐的贡献率分别为41%和31%,均为各时期最高。研究结果可为处于丘陵区的水库农业流域面源污染防控提供科学依据。

       

      Abstract: Nitrate pollution is one of the major environmental problems facing reservoirs. Small and medium-sized reservoirs, which are sources of drinking water, are more sensitive to seasonal variations in pollution from diffuse pollution. To analyze the changes of nitrate sources in a reservoir located in a hilly watershed dominated by agricultural cultivation under different time periods. The Qiaodian Reservoir basin was selected as the study area, and 16 sites were set up to collect water samples in January (freeze-up period), March (ablation period), June (pre-flood period), August (high water period), and November (low water period) in 2023. These samples were analyzed for water quality indicators, major ion compositions, and nitrogen and oxygen isotopes. Different sources of nitrate contamination in the water and their contributions were identified using various methods, including hydrochemistry analysis, the nitrogen and oxygen isotope tracer technique, and the Bayesian stable isotope mixing model (MixSIAR). Hydrochemical analysis showed that the hydrochemistry in the study area was dominated by the HCO3·SO4-Ca type, and the dissolution of rock weathering mainly controlled the ionic composition. The ionic sources were enhanced by water-rock interaction during the abundant water period. Trends in TN and NO3-N concentrations exhibited relative consistency, with NO3-N emerging as the primary form of dissolved inorganic nitrogen. Hydrometeorological conditions, land use patterns, and anthropogenic activities primarily influenced fluctuations in nitrate concentrations. The study area was predominantly dry land (35.8% of the watershed area) where various crops were grown, livestock farming existed in the villages, and more animal manure was applied to the farmland. Other major land use types were forest land and grassland, which accounted for 29.6% and 28.5% of the watershed area, respectively. Temporally, nitrate concentrations decline in the order of freeze-up period (3.83 mg/L), high water period (3.57 mg/L), ablation period (3.51 mg/L), low water period (2.54mg/L), pre-flood period (1.90mg/L). At the spatial scale, NO3-N concentrations were more variable in the upper and middle reaches of the watershed, while downstream NO3-N concentrations were close to those in the reservoir area. The δ15N-NO3 mean values of nitrate were 9.61, 9.11, 8.1, 7.18, and 6.04‰ in the pre-flood, ablation, low water, freeze-up, and high water periods, respectively. The δ18O-NO3 mean values of nitrate were 9.52, 4.25, 3.74, 3.46, and 1.96‰ in the pre-flood, low water, high water, freeze-up, and ablation periods, respectively. The range of δ15N-NO3 and δ18O-NO3 values varied obviously in different periods, indicating that the source of nitrate was not single. Various analyses showed that soil nitrogen and manure and sewage emerged as pivotal contributors to nitrate concentration shifts within the reservoir basin. Leveraging the MixSIAR model facilitates a quantitative assessment of the contribution rates of different nitrate sources. Nitrate was mainly derived from soil nitrogen and manure and sewage during the freeze-up, ablation, and low water periods. The proportions of nitrate sources were more consistent between the freeze-up period and the low water period, in which soil nitrogen contributed the highest proportion of nitrate to the watershed, 37% and 36%, respectively. Nitrate in water during the pre-flood period was most affected by atmospheric deposition, accounting for 13%. Soil nitrogen loss was most severe during the high water period, when nitrate originating from soil nitrogen and chemical fertiliser was the most abundant, contributing 41% and 31%, respectively. This research result can provide a scientific basis for preventing and controlling surface pollution in small and medium-sized reservoir watersheds similarly located in hilly agricultural areas.

       

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