Development of water quality management strategies based on multi-scale field investigation of nitrogen distribution: a case study of Beiyun River, China

被引:2
|
作者
Liao, Renkuan [1 ]
Song, Peng [2 ]
Wang, Jia [3 ]
Hu, Jieyun [2 ]
Li, Yunkai [2 ]
Li, Shuqin [2 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
[2] China Agr Univ, Coll Water Conservancy & Civil Engn, Beijing 100083, Peoples R China
[3] Beijing Enterprises Water Grp Ltd BEWG, Water Environm Res Inst, Beijing 100102, Peoples R China
基金
中国国家自然科学基金;
关键词
River pollution; Groundwater; Eutrophication; Sediments; CXTFIT; 2; 1; WASTE-WATER; POLLUTION LEVELS; PING RIVER; PHOSPHORUS; SIMULATION; BASIN; SOIL; DENITRIFICATION; EXCHANGE; REMOVAL;
D O I
10.1007/s11356-022-19835-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurately quantifying the distribution of nitrogen (N) contaminants in a river ecosystem is an essential prerequisite for developing scientific water quality management strategy. In this study, we have conducted a series of field investigations along the Beiyun River to collect samples from multiple scales, including surface water, riverbed sediments, vadose zone, and aquifer, for evaluating the spatial distribution of N; besides, column simulation experiments were carried out to characterize the transport behavior of N in riverbed sediments. The surface water of the Beiyun River was detected to be eutrophic because of its elevated total N concentration, which is 33 times of the threshold value causing the potential eutrophication. The hydrodynamic dispersion coefficient (D) of riverbed sediments was estimated by CXTFIT 2.1, demonstrating that the D of upstream section was lower than that of midstream and downstream sections (D-upstream < D-midstream < D-downstream), with the estimated annual N leaching volume of 130,524, 241,776, and 269,808 L/(m(2)center dot a), respectively. The average total N concentration in vadose zone and aquifer of upstream Sect. (297.88 mg/kg) was obviously lower than that of midstream Sect. (402.62 mg/kg) and downstream Sect. (447.02 mg/kg). Based on multi-scale investigation data, subsequently, water quality management strategies have been achieved, that is, limiting the discharge of N from the midstream and downstream banks to the river and setting up the impermeable layer in the downstream reaches to reduce infiltration. The findings of this study are of great significance for the improvement of river environmental quality and river management.
引用
收藏
页码:56511 / 56524
页数:14
相关论文
共 28 条
  • [21] An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China
    Zhang, Chi
    Nong, Xizhi
    Shao, Dongguo
    Chen, Lihua
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 884
  • [22] A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain
    Khoshnevisan, Benyamin
    Rafiee, Shahin
    Pan, Junting
    Zhang, Yitao
    Liu, Hongbin
    JOURNAL OF CLEANER PRODUCTION, 2020, 256 (256)
  • [23] A factorial-based dynamic distributive model for virtual-water management in multi-urban agglomerations - A case study of Yangtze River Economic Belt
    Wang, Jia
    Li, Jun
    Zhai, Mengyu
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 871
  • [24] Simulation-based interval chance-constrained quadratic programming model for water quality management: A case study of the central Grand River in Ontario, Canada
    Zhang, Qianqian
    Li, Zhong
    Huang, Wendy
    ENVIRONMENTAL RESEARCH, 2021, 192 (192)
  • [25] Multi-scale response relationship between water quality of rivers entering lakes from different pollution source areas and land use intensity: a case study of the three lakes in central Yunnan
    Yin, Yuanyuan
    Peng, Shuangyun
    Ding, Xue
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2024, 31 (07) : 11010 - 11025
  • [26] Using a modified DNDC biogeochemical model to optimize field management of a multi-crop (cotton, wheat, and maize) system: a site-scale case study in northern China
    Zhang, Wei
    Liu, Chunyan
    Zheng, Xunhua
    Wang, Kai
    Cui, Feng
    Wang, Rui
    Li, Siqi
    Yao, Zhisheng
    Zhu, Jiang
    BIOGEOSCIENCES, 2019, 16 (14) : 2905 - 2922
  • [27] Multi-objective ecological reservoir operation based on water quality response models and improved genetic algorithm: A case study in Three Gorges Reservoir, China
    Hu, Ming
    Huang, Guo H.
    Sun, Wei
    Li, Yongping
    Ding, Xiaowen
    An, Chunjiang
    Zhang, Xiaofei
    Li, Ting
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2014, 36 : 332 - 346