Sun, May 25, 2025
[Archive]
.png)
Volume 7, Issue 4 (12-2021)
jhehp 2021, 7(4): 205-212 |
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:
Takin F Z, Khosravi Y, Zamani A. Investigating the Relationship between Land Use Changes and Physicochemical Characteristics of Groundwater. jhehp 2021; 7 (4) :205-212
URL: http://jhehp.zums.ac.ir/article-1-446-en.html
URL: http://jhehp.zums.ac.ir/article-1-446-en.html
1- Department of Environmental Sciences, Faculty of Sciences, University of Zanjan, Iran.
Abstract: (4204 Views)
Background: This study was conducted to investigate the relationship between land use changes and physicochemical characteristics of groundwater in the Dalaki watershed in Bushehr province, from 2006 to 2016.
Methods: In this study, changes in the amounts of chlorine, calcium, sodium, sulfate, and total dissolved solids were investigated. In the first step, the spatial relationships of the aforementioned parameters were evaluated and the optimal models were selected for mapping. Then, using Landsat satellite images, the land use classification was done. Finally, the relationships between land use changes and the physicochemical characteristics of groundwater were surveyed.
Results: According to the analysis of the results, the highest concentration of groundwater in the studied years was observed in rainfed agriculture, palm groves and orchards land uses.
Conclusion: A significant relationship can be established between agricultural uses and the increase in the concentration of groundwater physicochemical characteristics. In other words, agricultural use caused groundwater resources salinity and reduced their quality. Because of the vastness of land use, a large amount of groundwater is taken to irrigate crops. Moreover, rainfed agriculture increased and decreased the number of quality characteristics, however using planting palm trees only increased them.
Methods: In this study, changes in the amounts of chlorine, calcium, sodium, sulfate, and total dissolved solids were investigated. In the first step, the spatial relationships of the aforementioned parameters were evaluated and the optimal models were selected for mapping. Then, using Landsat satellite images, the land use classification was done. Finally, the relationships between land use changes and the physicochemical characteristics of groundwater were surveyed.
Results: According to the analysis of the results, the highest concentration of groundwater in the studied years was observed in rainfed agriculture, palm groves and orchards land uses.
Conclusion: A significant relationship can be established between agricultural uses and the increase in the concentration of groundwater physicochemical characteristics. In other words, agricultural use caused groundwater resources salinity and reduced their quality. Because of the vastness of land use, a large amount of groundwater is taken to irrigate crops. Moreover, rainfed agriculture increased and decreased the number of quality characteristics, however using planting palm trees only increased them.
Type of Study: Original Article |
Subject:
Environmental Health, Sciences, and Engineering
Received: 2021/09/8 | Accepted: 2021/11/11 | Published: 2021/12/30
Received: 2021/09/8 | Accepted: 2021/11/11 | Published: 2021/12/30
References
1. Thangarajan M. Groundwater: Resource Evaluation, Augmentation, Contamination, Restoration, Modeling and Management. Springer Sci Bus Media; 2007. [Google Scholar]
2. Dehghani F, Rahnemaie R, Malakouti M, Saadat S. Investigating Calcium to Magnesium Ratio Status in Some Irrigation Water in Iran. J Water Res Agric. 2012; 26(1): 113-25. [Article]
3. Alley WM, Reilly TE, Franke OL. Sustainability of Ground-Water Resources. US Department of the Interior: US Geological Survey; 1999. [Crossref] [Google Scholar]
4. Ghasemlounia R, Herfeh NS. Study on Groundwater Quality Using Geographic Information System (GIS), Case Study: Ardabil, Iran. Civil Eng J. 2017; 3(9): 779-93. [Crossref] [Google Scholar]
5. Thomas A, Tellam J. Modelling of Recharge and Pollutant Fluxes to Urban Groundwaters. Sci Total Environ. 2006; 360(1-3): 158-79. [Crossref] [Google Scholar]
6. Khandozi F. Statistical Analysis and Groundwater Statistics in Three Regions of Ramian, Deland and Khanbebin, . MSc Thesis, Zanjan University. 2012.
7. Cho J, Barone V, Mostaghimi S. Simulation of Land Use Impacts on Groundwater Levels and Streamflow in a Virginia Watershed. Agric Water Manag. 2009; 96(1): 1-11. [Crossref] [Google Scholar]
8. Genxu W, Lingyuan Y, Lin C, Kubota J. Impacts of Land Use Changes on Groundwater Resources in the Heihe River Basin. J Geogr Sci. 2005; 15(4): 405-14. [Crossref] [Google Scholar]
9. Twarakavi NK, Kaluarachchi JJ. Sustainability of Ground Water Quality Considering Land Use Changes and Public Health Risks. J Environ Manag. 2006;81(4):405-19. [Crossref] [Google Scholar]
10. Huang T, Pang Z, Edmunds WM. Soil Profile Evolution Following Land‐Use Change: Implications for Groundwater Quantity and Quality. Hydrol Process. 2013; 27(8): 1238-52. [Crossref] [Google Scholar]
11. Nath V, Helen HM. Evaluation of Ground Water Quality in Neyyattinkara Taluk, Kerala. J Chem Pharm Res. 2013; 5(4): 110-23. [Article]
12. Dhanasekar A, Selvan P, Chandran S, Chandramohan K. Landuse and Landciver Dynamic Analysis Using Satellite Remot Sesnsing and GIS Tehniques-A Case Study of Girudhumal River Sub Basin, Tamilandu, India. Int J Geomat Geosiences. 2015; 4: 579.
13. Mondal M, Karan C, Shukla J. Changing Pattern of Land Utilization: Using Remote Sensing and GIS Methods in Moyna Block, Purba Medinipur District, West Bengal. J Eng Comput Appl Sci. 2015; 4(3): 87-96. [Google Scholar]
14. Shi P, Zhang Y, Li Z, Li P, Xu G. Influence of Land Use and Land Cover Patterns on Seasonal Water Quality at Multi-Spatial Scales. Catena. 2017; 151: 182-90. [Crossref] [Google Scholar]
15. Purandara B, Venkatesh B, Jose M, Chandramohan T. Change of Land Use/Land Cover on Groundwater Recharge in Malaprabha Catchment, Belagavi, Karnataka, India. Groundwater: Springer; 2018. p. 109-20. [Crossref] [Google Scholar]
16. Dizaj Z, Zanganesirdardi Z, Nasrabadi T, Sayadi M. Effects of Land Use on Groundwater Quality, with an Emphasis on the Major Cations and Anions, Case Study of Islamshar County. J Environ Geology. 2015; 9(32): 49-66. [Article]
17. Rafei Sharifabad J, Nohegar A, Zehtabian G, Khosravi H, Gholami H. An Assessment of the Impacts of Land-Use Changes on Groundwater Quality in Yazd-Ardakan Plain. Geogr (Regional Plann). 2017; 7(1): 189-99. [Article]
18. Mahmoud Hassan R. Investigation of the Effect of Land Use Changes on Groundwater Quality in Lajan Watershed in West Azerbaijan Province. Master's Thesis, Sari University. 2016.
19. Moradi R, Agah AA, Alishvandi H, Fallahi GR. Zoning of Qualitative Variables of Groundwater of Sarvestan Plain Using Statistical land. Second National Conference on the Application of Advanced Space Analysis Models (Remote Sensing and GIS) in Land Management, Yazd. 2016.
20. Skndari Dameneh H, Khosravi H, Abolhasani A. Assessing the Effect of Land Use Changes on Groundwater Quality of Zarand Plain Using Satellite Images an Geostatistical. J Nat Environ Hazards. 2019; 8(20): 67-82. [Google Scholar]
21. Brindha K, Elango L. Groundwater Quality Zonation in a Shallow Weathered Rock Aquifer Using GIS. Geo Spat Inf Sci. 2012; 15(2): 95-104. [Crossref] [Google Scholar]
22. Hassan J. A Geostatistical Approach For Mapping Groundwater Quality (Case Study: Tehsil Sheikhupura). Int J Sci Res. 2014; 3(4): 239-45. [Article]
23. Khosravi Y, Zamani AA, Parizanganeh AH, Yaftian MR. Assessment of Spatial Distribution Pattern of Heavy Metals Surrounding a Lead and Zinc Production Plant in Zanjan Province, Iran. Geoderma Regional. 2018; 12: 10-7. [Crossref] [Google Scholar]
24. Rogan J, Chen D. Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change. Prog Plann. 2004; 61(4): 301-25. [Article] [Crossref]
25. Yuan F, Sawaya KE, Loeffelholz BC, Bauer ME. Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing. Remote Sens Environ. 2005; 98(2-3): 317-28. [Crossref] [Google Scholar]
26. Miryousefiaval Z, Zamani A, Khosravi Y. Comparison of the Interpolation of Lead and Zinc Accumulation in the Soils around Zanjan Lead and Zinc Corporation Using Laboratory and Landsat Data. J Human Environ Health Promot. 2020; 6(4): 153-8. [Google Scholar]
27. Khosravi Y, Zamani AA, Parizanganeh AH, Mokhtari MAA, Nadi A. Studying Spatial Changes of Groundwater's Nitrate Content in Central District of Khodabandeh, Iran. J Human Environ Health Promot. 2017; 3(1): 13-20. [Crossref] [Google Scholar]
28. 28. ISIRI. Swimming Pool Water Microbiological Specifications. Institute of Standards and Industrial Research of Iran. 2007; 1053.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
© 2024 The Author(s)
