The impact of land use and socio-economic factors on ammonia nitrogen pollution in Weihe River watershed, China

被引:14
作者
Bi, Zhilei [1 ]
Zhang, Yan [1 ]
Shi, Peng [2 ]
Zhang, Xin [1 ]
Shan, Zexuan [1 ]
Ren, Lijiang [1 ]
机构
[1] Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Peoples R China
[2] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian 710048, Peoples R China
基金
中国国家自然科学基金;
关键词
SWAT model; Multiple linear regression; Land use; Social economy; NH4+-N; Weihe River; SURFACE-WATER; NITRATE POLLUTION; ECONOMIC-GROWTH; ASSESSMENT-TOOL; QUALITY; BASIN; TRANSFORMATIONS; IDENTIFICATION; COINTEGRATION; URBANIZATION;
D O I
10.1007/s11356-020-11960-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid socio-economic development has led to a significant deterioration in the water environment, which has limited sustainable regional development. The soil and water assessment tool (SWAT) and statistical regression method were used to model the ammonia nitrogen (NH4+-N) pollution and explore the impacts of land use and socio-economic factors on NH4+-N pollution within the Weihe River watershed in China from 2015 to 2018. The result of SWAT model revealed that the NH4+-N concentrations were usually relatively high under low runoff conditions and relatively low under high runoff conditions. The average NH4+-N concentration in the upper reaches was 0.77 mg/L, whereas it was 0.87 mg/L in the middle and lower reaches of the watershed. Serious NH4+-N pollution mainly occurred in 2015 and 2016, and the V (2.0 mg/L) and V+ (>2.0 mg/L) water quality classes were associated with approximately 6.67% and 28.94% of the total watershed area, respectively. The multiple linear regression indicated that the building land and secondary industry were the significant controlling factors (P < 0.01). According to the scenario analysis, modelled scenarios for interception measures reduced the NH4+-N load to a greater degree than scenarios for source control measures. To improve the surface water quality in the Weihe River, it is recommended to adjust industrial structure, increase sewage treatment, and strengthen the rural management of the watershed.
引用
收藏
页码:17659 / 17674
页数:16
相关论文
共 48 条
  • [1] Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission
    Al-mulali, Usama
    Sab, Che Normee Binti Che
    Fereidouni, Hassan Gholipour
    [J]. ENERGY, 2012, 46 (01) : 156 - 167
  • [2] Predictive analysis of photovoltaic plants specific yield with the implementation of multiple linear regression tool
    Babatunde, Akinola A.
    Abbasoglu, Serkan
    [J]. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2019, 38 (04)
  • [3] Application of the Soil and Water Assessment Tool for six watersheds of Lake Erie: Model parameterization and calibration
    Bosch, Nathan S.
    Allan, J. David
    Dolan, David M.
    Han, Haejin
    Richards, R. Peter
    [J]. JOURNAL OF GREAT LAKES RESEARCH, 2011, 37 (02) : 263 - 271
  • [4] Land use changes and socio-economic development strongly deteriorate river ecosystem health in one of the largest basins in China
    Cheng, Xian
    Chen, Liding
    Sun, Ranhao
    Kong, Peiru
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 616 : 376 - 385
  • [5] CWRB, 2018, CHIN WAT RES BULL
  • [6] Ammonia pollution characteristics of centralized drinking water sources in China
    Fu, Qing
    Zheng, Binghui
    Zhao, Xingru
    Wang, Lijing
    Liu, Changming
    [J]. JOURNAL OF ENVIRONMENTAL SCIENCES, 2012, 24 (10) : 1739 - 1743
  • [7] Gassman PW, 2007, T ASABE, V50, P1211, DOI 10.13031/2013.23637
  • [8] Assessing the impacts of Best Management Practices on nitrate pollution in an agricultural dominated lowland catchment considering environmental protection versus economic development
    Haas, Marcelo B.
    Guse, Bjoern
    Fohrer, Nicola
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 196 : 347 - 364
  • [9] Modelling the response of surface water quality to the urbanization in Xi'an, China
    He, Hongming
    Zhou, He
    Wu, Yongjao
    Zhang, Wanchang
    Xie, Xiuping
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2008, 86 (04) : 731 - 749
  • [10] Hou X, 2019, THESIS