Volume 7, Issue 4 (2019)
ECOPERSIA 2019, 7(4): 223-231 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Pirali Zefrehei A, Fallah M, Hedayati S. Spatial-Temporal Modeling of Qualitative Parameters and Land Use Status in Anzali International Wetland Using GIS Technique. ECOPERSIA 2019; 7 (4) :223-231
URL: http://ecopersia.modares.ac.ir/article-24-35497-en.html
URL: http://ecopersia.modares.ac.ir/article-24-35497-en.html
1- Fisheries & Environmental Sciences Department, Fisheries & Environmental Sciences Faculty, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
2- Environmental Sciences Department, Natural Resources Faculty, Isfahan University of Technology, Isfahan, Iran ,maryam.fallah85@gmail.com
3- Aquatics Production & Exploitation Department, Fisheries & Environmental Sciences Faculty, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
2- Environmental Sciences Department, Natural Resources Faculty, Isfahan University of Technology, Isfahan, Iran ,
3- Aquatics Production & Exploitation Department, Fisheries & Environmental Sciences Faculty, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
Abstract: (4204 Views)
Aims: Monitoring and zoning of water resources are one of the important principles in environmental planning and management. Therefore, considering the issues raised and the importance of Anzali wetland monitoring, the assessment of effective factors in zoning (GIS) along with TSI p, TSI n, and NSFWQI indices and the study of land use effects justifies the necessity of this study.
Materials & Methods: In this study, physicochemical parameters of water (phosphate, total nitrogen and total dissolved solids, dissolved oxygen, acidity, electrical conductivity, and BOD5 properties) and water quality indicators (TSI p, TSI n, and NSFWQI) were modeled using GIS interpolation functions. To determine the effect of land use, the partial and Pearson correlations coefficient were used.
Findings: According to zonation maps of annual mean values of qualitative parameters, the lowest dissolved oxygen content was in the eastern part of the wetland, the highest electrical conductivity, as well as BOD5 observed in the center of the north, in the east and north of the wetland, respectively. A survey of the total phosphate zonation map revealed the increasing trend from west to east of the wetland. The partial correlation analysis showed that the electrical conductivity, acidity and total dissolved solids were directly affected by inputs and effluent from the land use (p<0.05; p<0.01).
Conclusion: Based on the coefficient of determination, about 70% of the pollution derived from the use of wetlands surrounding and entering wastewater from agricultural fields, industrial and urban.
Materials & Methods: In this study, physicochemical parameters of water (phosphate, total nitrogen and total dissolved solids, dissolved oxygen, acidity, electrical conductivity, and BOD5 properties) and water quality indicators (TSI p, TSI n, and NSFWQI) were modeled using GIS interpolation functions. To determine the effect of land use, the partial and Pearson correlations coefficient were used.
Findings: According to zonation maps of annual mean values of qualitative parameters, the lowest dissolved oxygen content was in the eastern part of the wetland, the highest electrical conductivity, as well as BOD5 observed in the center of the north, in the east and north of the wetland, respectively. A survey of the total phosphate zonation map revealed the increasing trend from west to east of the wetland. The partial correlation analysis showed that the electrical conductivity, acidity and total dissolved solids were directly affected by inputs and effluent from the land use (p<0.05; p<0.01).
Conclusion: Based on the coefficient of determination, about 70% of the pollution derived from the use of wetlands surrounding and entering wastewater from agricultural fields, industrial and urban.
Article Type: Original Research |
Subject:
Terrestrial Ecosystems
Received: 2018/08/7 | Accepted: 2019/07/22 | Published: 2019/12/21
Received: 2018/08/7 | Accepted: 2019/07/22 | Published: 2019/12/21
References
1. Yaghmaei H, Moradi H. The effect of land use on groundwater contamination to nitrate and phosphorus in Noor county, Mazandaran province. 2nd National Conference on Drought Effects and its Management Solutions, April, 2009, Isfahan, Iran. Tehran: Civilica; 2009. [Persian] [Link]
2. Ghorbani R, Hajimoradlo A, Hedayati A, Malaei M, Naeimi AA, Nourouzi N, et al. Assessment of the health status of the Ziyarat stream based on NSFWQI quality index (Golestan province). J Util Cultiv Aquat. 2015;4(2):111-22. [Persian] [Link]
3. Zebiri M, Majd A. Introduction to remote sensing technology and applications in natural resources. 4th Edition. Tehran: Tehran University Press; 2003. [Persian] [Link]
4. Alavi Panah SK. Remote sensing application in earth sciences (soil science). 2nd Edition. Tehran: Tehran University Press; 2006. [Persian] [Link]
5. Brondizio ES, Moran EF, Mausel P, Wu Y. Land use change in the Amazon estuary: Patterns of Caboclo settlement and landscape management. Hum Ecol. 1994;22(3):249-78. [Link] [DOI:10.1007/BF02168853]
6. Ricky M. Determination of groundwater quality in Khash plain [Dissertation]. Tehran: University of Tehran; 2000. [Persian] [Link]
7. Saadati H, Gholami SH, Sharifi F, Ayoub Zadeh SA. An investigation of the effects of land use change on simulating surface runoff using SWAT mathematical model (case study: Kasilian catchment area). Iran J Nat Resour. 2006;95(2):32-9. [Persian] [Link]
8. Torabi Pelet Kaleh P. Drought management: Drought analysis and forecasting and its effects on water resources management [Dissertation]. Tehran: Amir Kabir University of Technology; 2009. [Persian] [Link]
9. Ostovari Y, Beigi H, Heshmati S. Evaluation of water quality in Lordegan aquifers. J Remote Sens GIS. 2015;7(2):107-20. [Persian] [Link]
10. Merati E, Taheri A, Parsafar N. Qualitative zoning of groundwater resources using geostatistical and GIS methods (case study: Soleymanshah watershed). Water Soil Sci. 2017;27(2):237-48. [Persian] [Link]
11. Fathi F, Azari F, Bagherzadeh M. Determine the area of the protection (shield) of Anzali wetland. J Wetland Ecobiol. 2010;1(4):39-50. [Persian]. [Link]
12. Arbuckle KE, Downing JA. The influence of watershed land use on lake N: P in a predominantly agricultural landscape. Limnol Oceanogr. 2001;46(4):970-5. [Link] [DOI:10.4319/lo.2001.46.4.0970]
13. Sliva L, Williams DD. Buffer zone versus whole catchment approaches to studying land use impact on river water quality. Water Res. 2001;35(14):3462-72. [Link] [DOI:10.1016/S0043-1354(01)00062-8]
14. Tong STY, Chen W. Modeling the relationship between land use and surface water quality. J Environ Manag. 2002;66(4):377-93. [Link] [DOI:10.1006/jema.2002.0593]
15. Woli KP, Nagumo T, Kuramochi K, Hatano R. Evaluating river water quality through land use analysis and N budget approaches in livestock farming areas. Sci Total Environ. 2004;329(1-3):61-74. [Link] [DOI:10.1016/j.scitotenv.2004.03.006]
16. Ren W, Zhong Y, Meligrana J, Anderson B, Watt WE, Chen J, et al. Urbanization, land use, and water quality in Shanghai: 1947-1996. Environ Int. 2003;29(5):649-59. [Link] [DOI:10.1016/S0160-4120(03)00051-5]
17. Hubbard RK, Newton GL, Hill GM. Water quality and the grazing animal. J Anim Sci. 2004;82 E-Suppl:E255-63. [Link]
18. Ahearn DS, Sheibley RW, Dahlgren RA, Anderson M, Johnson J, Tate KW. Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California. J Hydrol. 2005;313(3-4):234-47. [Link] [DOI:10.1016/j.jhydrol.2005.02.038]
19. Newall P, Walsh CJ. Response of epilithic diatom assemblages to urbanization influences. Hydrobiologia. 2005;532:53-67. [Link] [DOI:10.1007/s10750-004-9014-6]
20. Tang Z, Engel BA, Pijanowski BC, Lim KJ. Forecasting land use change and its environmental impact at a watershed scale. J Environ Manag. 2005;76(1):35-45. [Link] [DOI:10.1016/j.jenvman.2005.01.006]
21. Martin SL, Hayes DB, Rutledge DT, Hyndman DW. The land‐use legacy effect: Adding temporal context to lake chemistry. Limnol Oceanogr. 2011;56(6):2362-70. [Link] [DOI:10.4319/lo.2011.56.6.2362]
22. Liu W, Zhang Q, Liu G. Effects of watershed land use and lake morphometry on the trophic state of Chinese lakes: Implications for eutrophication control. CLEAN Soil Air Water. 2011;39(1):35-42. [Link] [DOI:10.1002/clen.201000052]
23. Osibanjo O, Majolagbe AO. Physicochemical quality assessment of groundwater based on land use in Lagos city, southwest, Nigeria. Chem J. 2012;2(2):79-86. [Link]
24. Samadi G. Survey of spatial-temporal impact of quantitative and qualitative of land use wastewaters on Choghakhor wetland pollution using IRWQI index and statistical methods. Iran Water Resour Res, 2015;11(3):159-71. [Persian] [Link]
25. Etezad M. Project for studying the ecology and hydrology of Anzali wetland and its rivers and its output stream. 1994:276. [Persian] [Link]
26. American Public Health Association. Standard method for examination of water and wastewater [Internet]. Washington DC: APHA; 1992 [cited 2018 Jun 18]. Available from: https://law.resource.org/pub/us/cfr/ibr/002/apha.method.9221.1992.pdf. [Link]
27. Landwehr JM, Deininger RA. A comparison of several water quality indexes. Water Pollut Control Fed. 1976;48(5):954-8. [Link]
28. Carlson RE. A throphic state index for lakes. Limnol Oceanogr. 1976;22(2):363-9. [Link] [DOI:10.4319/lo.1977.22.2.0361]
29. Fallah M. Impacts of land use changes on water quality of Anzali international wetland [Dissertation]. Isfahan: Isfahan Technology University; 2014. [Persian] [Link]
30. Wetzel RG. Limnology: Lake and river ecosystems. 3rd Edition. Cambridge: Academic Press; 2001. [Link]
31. Sabet Raftar K. Azolla analysis of the environmental impacts on aquatic ecosystems of the wetlands [Dissertation]. Tehran: University of Tehran; 1994. [Persian] [Link]
32. Pirasteh M. The protection and restoration of wetland. Department of Environmental Protection in Gilan. Library Research Center for Environmental Gilan. 1995. p. 373. [Persian] [Link]
33. Afraz A. Classification of Anzali Lagoon Rivers. (using curves Quality Index). Iran Sci Fish J.1996;5(1):1-17. [Persian] [Link]
34. Darvishsefat AA, Jamalzadeh Fallah F, Nezami Balouchi Sh. Investigation of trophic state of Anzali Lagoon, using GIS. J Environ Study. 1999;25(23):1-10. [Persian] [Link]
35. Japan International Cooperation Agency. Integrated management for Anzali Wetland [Internet]. Tehran: Environmental Protection Agency; 2005 [cited 2018 Jun 18]. Available from: https://bit.ly/2Nc8pAh. [Persian] [Link]
36. Sakizade M. Investigate and identify sources of pollution sources in the basin Siahrood in Guilan [Dissertation]. Tehran: University of Tehran; 2003. [Persian] [Link]
37. Samadi G. Temporal modeling of qualitative parameters and trophic status in Choghakhor wetland using pollution indices and GIS-based deterministic and geostatistical techniques. Iran Water Resour Res. 2016;12(1):122-32. [Persian] [Link]
38. Jabbarian Amiri B, Nakane K. Entire catchment and buffer zone approaches to modeling linkage between river water quality and land cover-a case study of Yamaguchi prefecture, Japan. Chin Geogr Sci. 2008;18(1):85-92. [Link] [DOI:10.1007/s11769-008-0085-6]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |