تأثیر کاربری اراضی بر کیفیت و کمیت آب زیرزمینی دشت یزد-اردکان
نویسندگان
1
دانشگاه اردکان
2
دانشیار گروه علوم و مهندسی آب، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان
3
دانش آموخته دکتری علوم و مهندسی آبخیزداری دانشگاه تهران، اداره منابع طبیعی و آبخیزداری شهرستان بندر ماهشهر
10.22034/wmji.2025.2058969.1112
چکیده
کاربری اراضی و بهرهبرداری بیرویه از منابع آب زیرزمینی طی چند دهه اخیر علاوه بر محدودیتهای کمی، محدودیتهای کیفی را نیز موجب شده است. در این پژوهش تأثیر کاربری اراضی بر کمیت و کیفیت آب زیرزمینی دشت یزد-اردکان بررسی شد. برای این منظور ابتدا نقشههای کاربری اراضی با استفاده از تصاویر لندست 5 و 7 و 8 با دقت مکانی 30 متر در سالهای 2010 و 2023 تهیه شدند. بین تغییرات کاربریهای اراضی و پارامترهای کمی و کیفی آب زیرزمینی همبستگی پیرسون گرفته شد. نتایج نشان داد که افزایش اراضی کشاورزی، باغی و شهری در کاهش سطح آب زیرزمینی مؤثر بوده است. همچنین در کاربریهای کشاورزی و باغی بهویژه در سالهای اخیر، غلظت اکثر پارامترهای کیفی آب شامل؛ آنیونهای کلر و بیکربنات و کاتیونهای کلسیم، پتاسیم و سدیم، همچنین هدایت الکتریکی، نسبت جذب سدیم و مواد جامد محلول در آب افزایشیافته و باعث کاهش کیفیت آب زیرزمینی شده است. پیشنهاد میگردد از حفر چاههای جدید جلوگیری و از روشهای نوین آبیاری در کشاورزی و تغییر الگوی کشت استفاده شود.
کلیدواژهها
عنوان مقاله English
The impact of land use on the quality and quantity of groundwater in the Yazd-Ardakan plain
نویسندگان English
Zahra Khajavi
1
Somayeh Soltani-Gerdefaramarzi
2
Morteza Gheysouri
3
1
Ardakan University
2
Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, Ardakan University
3
Doctoral student of Watershed Science and Engineering, University of Tehran, Department of Natural Resources and Watershed, Bandar Mahshahr
چکیده English
Land use and excessive exploitation of groundwater resources in recent decades have caused not only quantitative but also qualitative limitations. In this study, the impact of land use on the quantity and quality of groundwater in the Yazd-Ardakan plain was investigated. For this purpose, land use maps were first prepared using Landsat 5, 7, and 8 images with a spatial resolution of 30 meters in the years 2010 and 2023. Pearson correlation was performed between land use changes and quantitative and qualitative parameters of groundwater. In general, it can be stated that the increase in agricultural, orchard, and urban lands has been effective in reducing the groundwater level. Also, in agricultural and orchard land uses, especially in recent years, the concentration of most water quality parameters, including chloride and bicarbonate anions and calcium, potassium, and sodium cations, as well as electrical conductivity, sodium adsorption ratio, and total dissolved solids in water have increased, leading to a decrease in groundwater quality. It is suggested to prevent the drilling of new wells and to use modern irrigation methods in agriculture and change the cropping pattern.
کلیدواژهها English
Anions
Cations
Land Use
Groundwater Level
Pearson Correlation
GIS
Acero Triana, J.S., Chu, M.L., Guzman, J.A., Moriasi, D.N., and Steiner, J.L. 2020. Evaluating the risks of groundwater extraction in an agricultural landscape under different climate projections. Water, 12(2): 400.
2- Ala, A., Bhat, M.S., and Maheen, M. 2020. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal, 85: 1529-1543.
3- Bahrami-Damaneh, N., Soltani Gerdefaramarzi, S., Gheisouri, M., and Azizian, A. 2023. Study of drought time steps and the effect of land use changes on quantitative and qualitative parameters of water in the Plasjan River. Irrigation Science and Engineering, 46(3): 103-120 (In Persian)
4- Dehrami, R., and Amiri, F. 2023. Evaluation of the impact of land use changes on groundwater quality in Dehram watershed in Fars province. Journal of Soil and Water Modeling and Management. 3(1): 165-180 (In Persian)
5- Devaraju, N., de Noblet-Ducoudré, N., Quesada, B., and Bala, G. 2018. Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections. Journal of Climate, 31(10): 3811-3829.
6- Dostmohammadian, A.H., Mohammadi, M., Amiri, M., and Kianian, M.K. 2019. Investigation of quantitative changes in groundwater in the Semnan Plain. Journal of Water Resources Engineering, 13(47): 61-70 (In Persian)
7- Ershad-Hosseini, M., Keshtkar, A., Mousavi, S., and Afzali, A. 2012. Analysis of the temporal changes in groundwater quality using the non-parametric Mann-Kendall test and the age slope estimator method in the Yazd-Ardakan plain. Geography and Environmental Planning, 32(4): 87-106 (In Persian)
8- Fathizad, H., Hakimzadeh-Ardakani, M., Taghizadeh-Mehrjerdi, R., and Sodaiezadeh, H. 2019. Relationship between soil heavy metal distribution pattern and land use in Yazd-Ardakan plain. Journal of Desert Management. 8(15): 1-20 (In Persian)
9- Gyamfi, C., Ndambuki, J.M., Anornu, G.K., and Kifanyi, G.E. (2017). Groundwater recharge modelling in a large scale basin: an example using the SWAT hydrologic model. Modeling Earth Systems and Environment, 3: 1361-1369.
10- Joyzadeh, S., Brahimi, M., Ghamarzadeh, M., and Shamsabadi, A. 2017. ENVI Applied Training Book (Introductory and Advanced). Third Millennium Perspective Scientific and Research Institute (In Persian)
11- Karam, A., Rayati, S.M., Ghafarian, M.H.R. and Sepehr, A. 2018. Analyzing the spatial-temporal changes of landforms and land-use in the desertification process of Yazd-Ardakan plain using maximum likelihood algorithm. Journal of Geography and Environmental Hazards, 7(25): 17-36 (In Persian)
12- Khosravi, H., Nasabpour, S., and Heydari-Alamdarloo, A. 2016. Study of temporal and spatial changes in groundwater quality in the Yazd-Ardakan plain using the GQI index. Geographic Information, 26(104): 35-44 (In Persian)
13- Mohammadpour, P., Arjmandi, R., Hasani, A.H. and Ghoddousi, J. 2022. Classification and Assessment of the land use changes using Landsat satellite imagery (Case Study: Rey Plain). Human & Environment, 20(3):279-297 (In Persian)
14- Mohsenifard, M., Abedi-Koupai, J., and Shokri, A. 2023. Groundwater sustainability under land-use and land-cover changes. Environmental Earth Sciences, 82(6): 147.
15- Omidvar, K., Zare, M., and Ebrahimi, R. 2016. The impact of recent droughts on groundwater resources of the Yazd-Ardakan plain. Iranian Journal of Irrigation and Drainage, 10(5): 622-635 (In Persian)
16- Qamarnia, H., and Roshandel, F. 2019. Investigation of groundwater quality in the Chardoli plain in Kurdistan province. Journal of Water Resources Engineering. 12(41): 145-160 (In Persian)
17- Rafie-Sharifabad, J., Nohegar, A., Zehtabian, G., Khosravi, H., and Gholami, H. 2016. Study of the trend of land use changes on the groundwater quality of the Yazd-Ardakan plain. Quarterly Journal of Geography (Regional Planning). 7(1): 189-199 (In Persian)
18- Rahimi, M., and Soleimani, K. 2017. Evaluation of Groundwater Potential of Dehgolan Plain on Geographic Information and Remote Sensing Using a Multi-Criterion Decision Making Technique. Journal of Science and Engineering, 10(35): 27-39.
19- Rahnama, M.B., Sohrabi, N., and Barani, G.A. 2019. Investigation of groundwater level fluctuations in Shahdad aquifer. Iranian Journal of Irrigation and Drainage, 14(50): 1650-1663 (In Persian)
20- Singh, S.K., Mustak, S., Srivastava, P. K., Szabó, S., and Islam, T. 2015. Predicting spatial and decadal LULC changes through cellular automata Markov chain models using earth observation datasets and geo-information. Environmental Processes, 2: 61-78.
21- Soltani-Gerdefaramarzi, M., Shafiei, Sh., Mozafari, G.A. 2018. Effects of recent climatic droughts on groundwater salinity using geostatistical and GIS methods in the Yazd-Ardakan plain. Quarterly Scientific and Research Journal of Geographic Information (Sepehr). 27(106): 179-199 (In Persian)
22- Talebi, A., Goodarzi, S., and Pourghasemi, H.R. 2018. Investigating the feasibility of preparing a landslide hazard map using the random forest algorithm in the Sardar Abad watershed in Lorestan province. Journal of Natural Environmental Hazards, 7(16):45-64 (In Persian)
23- Vijayan, A., Maina, J.M., Lawson, R., Chang, H.C., Beaumont, L.J., and Davies, P.J. 2021. Land use planning to support climate change adaptation in threatened plant communities. Journal of Environmental Management, 298: 113533.
24- Wahla, S. S., Kazmi, J. H., and Tariq, A. 2025. Mapping and monitoring of spatio-temporal land use and land cover changes and relationship with normalized satellite indices and driving factors. Geology, Ecology, and Landscapes, 9(1): 279-295.
25- Wang, Z., Li, F., Xia, Y., Chen, H., Wang, K., Fu, S., and Wang, G. 2021. Spatial distribution of groundwater quality in the coastal plain and its relationship with land use and seawater intrusion. Environmental Earth Sciences, 80: 1-13.
26- Wu, W.Y., Lo, M.H., Wada, Y., Famiglietti, J.S., Reager, J.T., Yeh, P.J.F., and Yang, Z.L. 2020. Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers. Nature communications, 11(1): 3710.
27- Xu, F., Li, P., Chen, W., He, S., Li, F., Mu, D., and Elumalai, V. 2022. Impacts of land use/land cover patterns on groundwater quality in the Guanzhong Basin of northwest China. Geocarto International, 37(27): 16769-16785.
28- Yao, R., Wang, L., Huang, X., Sun, L., Chen, R., Wu, X., and Niu, Z. 2021. A robust method for filling the gaps in MODIS and VIIRS land surface temperature data. IEEE Transactions on Geoscience and Remote Sensing, 59(12): 10738-10752.
29- Zhao, Q., Yu, L., Li, X., Peng, D., Zhang, Y. and Gong, P. 2021. Progress and trends in the application of Google Earth and Google Earth Engine. Remote Sensing, 13(18): 3778.
30- Zhang, D.F., Gao, X.J., Zakey, A., and Giorgi, F. 2016. Effects of climate changes on dust aerosol over East Asia from RegCM3. Advances in Climate Change Research, 7(3): 145-153.
