Fully integrated approach: an alternative solution of coupling a GIS and diffuse pollution models

S. LIU, R.E. BRAZIER, A. L. HEATHWAITE, W. LIU

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PDF(140 KB)
Front. Environ. Sci. Eng. ›› 2014, Vol. 8 ›› Issue (4) : 616-623. DOI: 10.1007/s11783-013-0589-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Fully integrated approach: an alternative solution of coupling a GIS and diffuse pollution models

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Abstract

As a tool for management, query, visualization and analysis of spatially referred information, GIS has been recognized as a method to aid the modeling of diffuse pollution and visualize the results in a spatial context. A common question in integrating diffuse pollution models and GIS is to choose a suitable coupling approach, in which the feature of diffuse pollution models should be taken into account. In this paper, we report on our experience in coupling a distributed diffuse pollution model with a GIS. A prototype of fully integrated system is developed in this paper. This system has high flexibility, extendibility and great data management efficiency. Differences in applicability of loose coupling, tight coupling and fully integrated approaches are addressed. It is concluded that the fully integrated approach can avoid tanglesome data exchange and routine execution and more robust than loose and tight coupling approaches and is suitable for distributed diffuse pollution modes.

Keywords

diffuse pollution / GIS / modeling / nutrients / phosphorus

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S. LIU, R.E. BRAZIER, A. L. HEATHWAITE, W. LIU. Fully integrated approach: an alternative solution of coupling a GIS and diffuse pollution models. Front.Environ.Sci.Eng., 2014, 8(4): 616‒623 https://doi.org/10.1007/s11783-013-0589-x

References

[1]
BurroughP A, McDonnellR A. Principles of Geographical Information Systems. Oxford: Oxford University Press, 1998
[2]
LiuS, TuckerP, MansellM, HursthouseA. Development and application of a catchment scale diffuse nitrate modelling tool.Hydrological Processes, 2005, 19: 2625-2639
CrossRef Google scholar
[3]
LiuS, TuckerP, MansellM, HursthourseA. Application of a water quality model in the white cart water catchment, Glasgow, UK.Environmental Geochemistry and Health, 2003, 25(1): 57-62
CrossRef Google scholar
[4]
JordanC, SmithR V. Methods to predict the agricultural contribution to catchment nitrate loads: designation of nitrate vulnerable zones in Northern Ireland. Journal of Hydrology (Amsterdam), 2005, 304(1-4): 316-329
CrossRef Google scholar
[5]
HuangB, JiangB. AVTOP: a full integration of TOPMODEL into GIS. Environmental Modelling & Software, 2002, 17(3): 261-268
CrossRef Google scholar
[6]
LeónL F, SoulisE D, KouwenN, FarquharG J. Modeling diffuse pollution with a distributed approach. Water Sci Technol, 2002, 45(9): 149-156
Pubmed
[7]
BrazierR E, HeathwaiteA L, LiuS. Scaling issues relating to phosphorus transfer from land to water in agricultural catchments. Journal of Hydrology (Amsterdam), 2005, 304(1-4): 330-342
CrossRef Google scholar
[8]
PieterseN M, BleutenW, JørgensenS E. Contribution of point sources and diffuse sources to nitrogen and phosphorus loads in lowland river tributaries. Journal of Hydrology (Amsterdam), 2003, 271(1-4): 213-225
CrossRef Google scholar
[9]
SmithR V, JordanC, AnnettJ A. A phosphorus budget for Northern Ireland: inputs to inland and coastal waters. Journal of Hydrology (Amsterdam), 2005, 304(1-4): 193-202
CrossRef Google scholar
[10]
JohnesP J. Evaluation and management of the impact of land use change on the nitrogen and phosphorus load delivered to surface waters: the export coefficient modelling approach. Journal of Hydrology (Amsterdam), 1996, 183(3-4): 323-349
CrossRef Google scholar
[11]
NyergesT. GIS for Environmental Modellers: An Overview. In:Proceedings of First International Conference/Workshop on Integrating GIS and Environmental Modeling. Boulder:NCGIA, 1991
[12]
KarimiH A, BlaisJ A R. Current and future directions in GISs. Computers, Environment and Urban Systems, 1997, 20(2): 85-97.
[13]
BrandmeyerB E, KarimiH A. Coupling methodologies for environmental models. Environmental Modelling & Software, 2000, 15(5): 479-488
CrossRef Google scholar
[14]
HeathwaiteA L, FraserA I, JohnesP J, HutchinsM, LordE, ButterfieldD. The Phosphorus Indicators Tool: a simple model of diffuse P loss from agricultural land to water. Soil Use and Management, 2003, 19(1): 1-11
CrossRef Google scholar
[15]
LiuS, BrazierR E, HeathwaiteL. An investigation into the inputs controlling predictions from a diffuse phosphorus loss model for the UK; the Phosphorus Indicators Tool (PIT). Science of Total Environment, 2005, 344(1-3): 211-223
CrossRef Pubmed Google scholar
[16]
LiuS, TuckerP, MansellM. A conceptual nitrate transport model and Its application at different scales, Environmental Modeling & Assessment, 2010, 15(4): 251-261
CrossRef Google scholar
[17]
LenziM A, Di LuzioM. Surface runoff, soil erosion and water quality modelling in the Alpone watershed using AGNPS integrated with a Geographic Information System. European Journal of Agronomy, 1997, 6(1-2): 1-14
CrossRef Google scholar
[18]
BhuyanS J, KoellikerJ K, MarzenL J, HarringtonJ A Jr. An integrated approach for water quality assessment of a Kansas watershed. Environmental Modelling & Software, 2003, 18(5): 473-484
CrossRef Google scholar
[19]
HeC. Integration of geographic information systems and simulation model for watershed management. Environmental Modelling & Software, 2003, 18(8-9): 809-813
CrossRef Google scholar
[20]
ArnoldJ G, AllenP M. Estimating hydrologic budgets for three Illinois watersheds. Journal of Hydrology (Amsterdam), 1996, 176(1-4): 57-77
CrossRef Google scholar
[21]
SuiD Z, MaggioR C. Integrating GIS with hydrological modelling: practices, problems, and prospects. Computers, Environment and Urban Systems, 1999, 23(1): 33-51
CrossRef Google scholar
[22]
PullarD, SpringerD. Towards integrating GIS and catchment models. Environmental Modelling & Software, 2000, 15(5): 451-459
CrossRef Google scholar
[23]
ESRI. Using ArcMap. Environmental Systems Research Institute Inc,USA. 2000
[24]
HeathwaiteA L, DilsR M, LiuS, CarvalhoL, BrazierR E, PopeL, HughesM, PhillipsG, MayL. A tiered risk-based approach for predicting diffuse and point source phosphorus losses in agricultural areas. Science of Total Environment, 2005, 344(1-3): 225-239
CrossRef Pubmed Google scholar
[25]
WoodR L, HeathwaiteA L, HaygarthP M. Evaluating diffuse and point phosphorus contributions to river transfers at different scales in the Taw catchment, Devon, UK. Journal of Hydrology (Amsterdam), 2005, 304(1-4): 118-138
CrossRef Google scholar

Acknowledgements

The work reported in this paper was funded by Defra R and D Project PE0112: Calibrating and Validating the P Indicators Tool: Phase 2. The expertise of Eunice Lord and Mark Betson (ADAS, Wolverhampton) Penny Johnes (Reading University) and Gavin Wood (NSRI) is gratefully acknowledged.

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