Abstract：The water pollution of Bohai Sea is more and more serious recently, and inorganic nitrogen is one of the main pollutants. Accurate stability prediction of inorganic nitrogen could provide an important base for optimizing the monitoring station and managing the marine pollution of Bohai Sea. In this paper, the probability of each type of inorganic nitrogen were predicted by IDW interpolation method and regression analysis method on the base of the trend monitoring data of the inorganic nitrogen from the year 2002 to 2013. The probability of the stability of inorganic nitrogen from the year 2014 to 2016 was also predicted, furthermore, the stability of inorganic nitrogen in Bohai Sea was divided into high, medium, and low zones, which could provide a scientific base for monitoring station layout and controlling the marine pollution of Bohai Sea.
LI Mian,LAN Dong-dong,LIANG Bin et al. Stability prediction of inorganic nitrogen in water environment of Bohai Sea[J]. Marine Environmental Science, 2015, 34(2): 161-165.
WARD R D, BURNSIDE N G, JOYCE C B, et al.The use of medium point density LiDAR elevation data to determine plant community types in Baltic coastal wetlands[J].Ecological Indicators, 2013, 33:96-104.
[5]
CHAPLOT V, DARBOUX F, BOURENNANE H, et al.Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density[J].Geomorphology, 2006, 77(1/2):126-141.
[6]
TEEGAVARAPU R S V, CHANDRAMOULI V.Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records[J].Journal of Hydrology, 2005, 312(1/2/3/4):191-206.
[7]
KIZZA M, WESTERBERG I, RODHE A, et al.Estimating areal rainfall over Lake Victoria and its basin using ground-based and satellite data[J].Journal of Hydrology, 2012, 464-465:401-411.
[8]
DE MESNARD L.Pollution models and inverse distance weighting:Some critical remarks[J].Computers & Geosciences, 2013, 52:459-469.
[9]
RHEINHARDT R, BRINSON M, MEYER G, et al.Integrating forest biomass and distance from channel to develop an indicator of riparian condition[J].Ecological Indicators, 2012, 23:46-55.
[10]
XIE Y F, CHEN T B, LEI M, et al.Spatial distribution of soil heavy metal pollution estimated by different interpolation methods:Accuracy and uncertainty analysis[J].Chemosphere, 2011, 82(3):468-476.
[11]
KITSIOU D, KARYDIS M.Categorical mapping of marine eutrophication based on ecological indices[J].Science of the Total Environment, 2000, 255(1/2/3):113-127.
[12]
JHA K D, DAS A, SARAVANANE N, et al.Sensitivity of GIS-based interpolation techniques in assessing water quality parameters of Port Blair bay, Andaman[J].Journal of the Marine Biological Association of India, 2010, 52(1):55-61.
MCMANUS J P, PRANDLE D.Development of a model to reproduce observed suspended sediment distributions in the southern North Sea using Principal Component Analysis and Multiple Linear Regression[J].Continental Shelf Research, 1997, 17(7):761-778.
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