Effects of Land Use Change on Groundwater Quality (Case Study: Damghan Watershed)

Document Type : Research Article

Authors

1 Ph.D. Student, Department of Combating Desertification, Faculty of Desert Studies, Semnan University, Semnan, Iran

2 Assistant Professor, Department of Combating Desertification, Faculty of Desert Studies, Semnan University, Semnan, Iran

Abstract

Most of the water needs in arid and semi-arid regions is supplied through groundwater, so it is important to study the quantitative and qualitative changes of these waters and the factors affecting them. Land use changes can cause changes in groundwater quality. Here, land use changes in the period 2003 to 2020 in Damghan watershed were studied using Landsat 8, 7 and 5 satellite images, eCognition software and GIS. 1760 wells data in Semnan province were used for intermediation and accurate preparation of groundwater quality maps and extraction of geostatistical maps. Also, the information of 58 deep wells inside the watershed was used to analyze and study the groundwater quality changes. The results showed that the area of rangelands, forests and agricultural lands decreased and the area of gardens, urban areas, barren lands and surface water resources (due to the construction of the dam) increased. During this period, groundwater quality changes included Cl increased by 1.01 mEq, SO₄-2, decreased by 0.34 mEq, HCO3- increased by 0.46 mEq, Mg increased by 0.32 mEq, Ca decreased by 2.25 mEq, Na increased 3.58 mEq, electrical conductivity increased  by 44.81 μmohs / cm, Total dissolved solids increased by103.88 mg / l and pH increased by 0.09. These changes were evaluated with R software and the results showed that changes in groundwater quality are related to land use changes.

Keywords

References

  • Zehtabian Gh, Khosravi H, Masoudi R. Desertification assessment models (criteria and indicators). 1st ed. Tehran: University of Tehran Press; 2014] .Persian]
  • Alizadeh A. Principles of Applied Hydrology. 7th ed. Mashhad: Astan Quds Razavi Publications; 1999] .Persian]
  • Pijanowski C, Brown D.G, Shellito B.A, Manik, G.A. Using neural networks and GIS to forecast land use changes: A Land Transformation Model. Computers Environment and Urban Systems. 2002; 26: 553-575.
  • Yue Y, Wang K, Zhang B, Chen Z, Jiao Q, Liu B, Chen, H. Exploring the relationship between vegetation spectra and eco-geo-environmental conditions in karst region, Southwest China. Environmental monitoring and 2010; 160: 157-168.
  • Lawley M, Lewis K, Clarke B. Site-based and remote sensing methods for monitoring indicators of vegetation condition: An Australian review. Ecological 2016; 71: 1273-1283.

 

  • Pettorelli N, Vik O, Mysterud A, Gaillard J.M, Tucker C.J, Stenseth C. Using the satellite–derived NDVI to assess ecological responses to environmental change. Journal Trends in Ecology and Evolution. 2005; 9(20): 200-216
  • Afifi M. Modeling Land Use Change Using Markov Chain Model and LCM Model Case Study: Shiraz. Journal of Applied Research in Geographical Sciences. 2020; 20(56): 141-158] .Persian]
  • Vito U, Raffaele G, Nicola L. A fuzzy knowledge-based decision support system for groundwater pollution risk evaluation. Environmental Management. 2003; 73(3): 189-197.
  • El-Hames S, Hannachi A, Al-Ahmadi M, Al-Amri N. Groundwater quality zonation assessment using GIS, EOFs, and hierarchical clustering. Water resources management. 2013; 27(7): 2465-2481.
  • Singh K, Singh Ch.K, Mukherjee S. Impact of land-use and land-cover change on groundwater quality in the Lower Shiwalik hills: a remote sensing and GIS based approach. Central European Journal of Geosciences. 2010; 2(2): 124-131.
  • Eskandari Damaneh H, Khosravi H, Abolhassani Zarjou A. Assessing the Impact of Land Use Changes on the Quality of Groundwater Resources in Zarand Plain Using Satellite Images and Geostatistics. Journal of Environmental Hazards. 2019; 8(20): 67-82.
  • Usama zafar M, Ahmad W. Water Quality Assessment and Apportionment of Northern Pakistan Using Multivariate Statistical Techniques– a Case Study. International Journal of Hydrology. 2018; 2(1): 1-6.
  • Wu J, Li P, Wang D, Ren X, Wei M. Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau. Human and Ecological Risk Assessment. An International 2019; 2(3): 32-46.
  • Kumar A, Kumar K, Alam K. Spatial distribution of physico-chemical parameters for groundwater quality evaluation in a part of Satluj River Basin, India. Water Supply. 2019; 19(5): 1480-1490.
  • Rafi Sharifabadi J, Zehtabian Gh, Khosravi H, Gholami H. Investigating the trend of land use changes on groundwater quality in Yazd-Ardakan plain. Geography Quarterly. 2016; 7(1): 189-199] .Persian]
  • Piri H, Bameri A. Investigation of the trend of quantitative changes in the water level of groundwater resources using geostatistics and GIS (Case study: Sirjan plain). Journal of Remote Sensing and Geographic Information System and Natural 2013; 5(1): 29-44] .Persian]
  • Jahanshahi A, Rohi Moghaddam A, Dehwari A.H. Evaluation of Groundwater Quality Parameters Using GIS and Geostatistics (Case Study: Babak Plain Aquifer). Water and Soil 2013; 24(2): 183-197] .Persian]
  • Hassan J. A. Geostatistical approach for mapping groundwater quality (Case Study: Tehsil Sheikhupura). International Journal of Science and Research ( 2014; 3(4): 239-245.
  • Brindha K, Elango L.Groundwater quality zonation in a shallow weathered rock aquifer using GIS. Geospatial Information Science. 2012; 15(2): 95-104.
  • Darwish A, Fakhran S, Sufyanian A, Ghorbani M. Revealing the changes and dynamics of land uses and land cover in Arsbarn Biosphere Reserve (2011-2012). Journal of Natural Environment. 2015; 68(4): 551-572. ] Persian]
  • Mirahsani M, Salman Mahini A.R, Sufyanian A, Mohammadi J, Modarres R, Jafari R, Pourmanafi S. Evaluation of vegetation change trends using time series images and Mann-Kendall test in Gavkhooni watershed. Ecology. 2020; 45(3): 99-114] .Persian]
  • Hashemi Darreh Badami S, Norai sefat I, Karimi S, Nazari S. Analysis of the development process of the urban thermal island in relation to land use change / cover using the time series of Landsat images. Journal of Remote Sensing and GIS in Natural 2015; 6(1): 15-28] .Persian]
  • Mohammadi M, Mohammadi Qaleh Ney M, Ebrahimi K. Spatial and temporal changes in groundwater quality in Qazvin plain. Iranian Water Research Journal. 2011; 5(8): 41-52] .Persian]
  • Safavi Gardini M, Mohammad Rezapour U.B, Bahrami E, Mohammadi Siddiq M, Salari M. Study and evaluation of spatial variations of groundwater quality variables in the south of Qorveh and Dehgolan plains using geostatistical methods. Journal of Irrigation and Water Engineering. 2018; 9(33): 167-188] .Persian]
  • Marengo E, Gennaro C, Robotti E,Maiocchi A, Pavese G, Indaco A, Rainero A. Statistical analysis of groundwater distribution in Alessandria Province (Piedmont-Italy). Microchemical Journal. 2008; 88(2): 167-177.
  • Zehtabian Gh, Inayatullah J, Mohammad Asgari H, Neamatollahi M.J. Modeling Changes in Some Chemical Properties of Groundwater: A Case Study: Garmsar Basin. Iranian Journal of Rangeland and Desert 2010; 17: 61-73.] Persian]
  • Chen W. Using remote sensing and GIS to analyses land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing. 2002; 23: 107-124.
  • Mahmoud Hassan R, Habibnejad Roshan M, Gholami L. Assessing the role of land use on groundwater quality changes in Lajan Basin. Iranian Natural Ecosystems. 2017; 2(28): 83-99. ]Persian]
  • Remus Prăvălie R, Săvulescu L, Patriche C, Dumitraşcu M, Bandoc G. Spatial assessment of land degradation sensitive areas in southwestern Romania using modified MEDALUS method. 2017; 153: 114-130.
  • Taha T, Bruns B, Bamaga O. Local groundwater governance in Yemen: building on traditions and enabling communities to craft new rules. Hydrogeology 2012; 20: 1177-1188.
  • Mishra N, Kumar S. Impact of Land Use Change on Groundwater Recharge in Haridwar District. 20th International Conference on Hydraulics, Water Resources and River Engineering. IIT Roorkee, India. 2015.
  • Kashi Zenozi L, Yazdani M.R, Khosroshahi M, Rahimi M. Investigation of changes in some groundwater quality parameters by geostatistical method in the watershed of Marand city - East Azerbaijan. Journal of Water and Soil (Agricultural Sciences and Industries. 2018; 32(6): 1081-1095] .Persian]
  • Teymouri M, Asadi Nilivan, O. The Impact of Land Use and Geology on Groundwater Quality Using Multivariate Statistical Techniques and Geostatistics (Case Study: Part of Hableh-Rud River Basin). 2020; 7(25): 19-38. ]Persian]
  • Chitsazan M, Eilbeigy M, Tabari M. Evaluation of Groundwater Nitrate Pollution Based on Main Components and Factor Analysis (Case Study: Karaj Plain Aquifer). Eco 2019; 5(4): 1119- 1133.
  • Bouteraa O, Mebarki A, Bouaicha F, Nouaceur Z, Laignel Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quality index (WQI): a case of study in the Boumerzoug-El Khroub valley of Northeast Algeria. Acta Geochim. 2019; 2(4): 345-352.
  • Ministry of Power.Tamab Divisions, Regional Water Department of Semnan Provinc. 2020] .Persian]
  • Rana M, Kharel Feature extraction for urban and agricultural domains using ecognition developer. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 2019; 609-615.
  • Harciníková T, Stankova The possibilities to support ZB GIS® database update using object-based image analysis in ecognition developer software. Geodesy and Cartography. 2014; 40(3): 122-132.
  • General Department of Natural Resources and Watershed Management of Semnan Province.. Department of Engineering and Studies. Report on Detailed-Executive Watershed Management Studies. 2020] .Persian]
  • Akbarzadeh P, Yazdani M.R, Nikoo Sh. Investigating the need to establish a water police in order to monitor groundwater resources in the vilages of Edge, Joven and Sufiabad, Sorkheh, Semnan. Geography and Environmental 2019; 9(4): 89-102] .Persian]
  • Qanawati E, Khezri S, Talibpour Asl D. Evaluation of the effects of inter-basin water transfer on groundwater reservoirs and land subsidence (Case study: Zab River water transfer to Lake Urmia). Quantitative Geomorphological Research. 2015; 4(2): 29-44. ]Persian]
  • Celestino E.M, Cruz D.A.M, Sanchez E.M.O, Reyes F.G, Soto D.V. Groundwater Quality Assessment: An Improved Approach to K-Means Clustering, Principal Component Analysis and Spatial Analysis: A Case Study. Water. 2018; 10(437): 1-21.
  • Finkler R, Bortolin T.A, Cocconi J, Mendes L.A, Schneider V.E. Spatial and temporal assessment of water quality data using multivariate statistical techniques. Ciência Natura. 2016; 38(2): 577-587.
  • Devic G, Djordjevic D, Sakan Natural and anthropogenic factors affecting the groundwater quality in Serbia. Science of the Total Environment. 2014; 468(1): 933-942.
Iranian journal of Ecohydrology
Volume 9, Issue 2
July 2022
Pages 437-459

Files

History

  • Receive Date: 27 February 2022
  • Revise Date: 19 April 2022
  • Accept Date: 01 May 2022
  • First Publish Date: 22 June 2022
  • Publish Date: 22 June 2022

Share

How to cite

Statistics