نوع مقاله : مقاله پژوهشی
نویسندگان
1
دانشجوی دکتری ژئوفیزیک )گرانی سنجی(، دانشکده علوم زمین، دانشگاه تحصیلات تکمیلی علوم پایه، زنجان، ایران.
2
دانشیار هیدروژئولوژی، دانشکده علوم زمین، دانشگاه تحصیلات تکمیلی علوم پایه، زنجان، ایران.
10.22077/jaaq.2025.10135.1128
چکیده
تغییرات کاربری اراضی در حوضه آبریز سفیدرود طی دو دهه اخیر موجب تغییرات چشمگیر در الگوی بهرهبرداری از منابع آب شده است. هدف این پژوهش، ارزیابی کمی سطح مدیریت منابع آب سطحی و زیرزمینی در این حوضه تحت تأثیر تغییرات کاربری اراضی است. برای این منظور، از مدل هیدرولوژیکی SWAT استفاده شده است. و منطقه مطالعاتی به ۱۵ زیرحوضه تقسیم گردید. دادههای اقلیمی، توپوگرافی، خاک و برداشتهای آب برای دوره ۱۹۹۵ تا ۲۰۱۷ بهکار گرفته شد. شاخص سطح مدیریت با در نظر گرفتن نیاز زیستمحیطی و حجم آب قابل دسترس برای منابع سطحی و زیرزمینی محاسبه گردید .نتایج نشان میدهد که در سناریوی واقعی، ۸ زیرحوضه دارای سطح مدیریت منفی در منابع سطحی هستند که بهعنوان نقاط بحران اکولوژیکی شناخته میشوند. همچنین، در منابع زیرزمینی، ۳ زیرحوضه دارای سطح مدیریت منفی هستند که نشاندهنده اضافه برداشت از منابع آب زیرزمینی است. مناطق جنوبی و برخی از مناطق مرکزی کمترین میزان دسترسی و برداشت آب رودخانه را نشان میدهند، در حالی که مناطق شمالی و شرقی بیشترین حجم آّب در دسترس و برداشت از آب رودخانه را نشان میدهند حوضه سفیدرود در طی دوره مطالعاتی شاهد کاهش مراتع و جنگلها و افزایش مناطق شهری و کشاورزی بوده است. این یافتهها نشان میدهند که تغییرات کاربری اراضی موجب بهبود نسبی در مدیریت رودخانهها شده، در عین حال موجب کاهش سطح مدیریت منابع آبهای زیرزمینی شده است. این مطالعه تأکید میکند که تغییر کاربری اراضی با تغییر توزیع آب موجود بین منابع آب، تأثیر متضادی بر منابع آب سطحی و زیرزمینی اعمال میکند.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Evaluation of surface and groundwater resources management in the Sefidrud Watershed under land use change
نویسندگان [English]
-
Tahereh Gohari
1
-
Mostafa Naderi
2
1
Ph.D. Student in Geophysics (Gravimetry), Faculty of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
2
Associate Professor of Hydrogeology, Faculty of Earth Sciences, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
چکیده [English]
Land use changes in the Sefidrud watershed over the past two decades have significantly altered patterns of water resource utilization. This study aims to quantitatively assess the level of surface and groundwater resource management in response to land use changes within the basin. To achieve this, the SWAT hydrological model was employed, and the study area was divided into 15 sub-basins. Climatic, topographic, soil, and water withdrawal data from 1995 to 2017 were utilized. The management level index was calculated by considering environmental water requirements and the volume of available water for both surface and groundwater resources. The results indicate that, under the actual scenario, eight sub-basins exhibit negative management levels for surface water, identifying them as ecological crisis zones. Additionally, three sub-basins show negative management levels for groundwater, reflecting overexploitation of aquifers. Southern and some central regions demonstrate the lowest river water availability and withdrawal, whereas northern and eastern regions show the highest volumes of accessible and extracted river water. During the study period, the Sefidrud basin experienced a decline in rangelands and forests, alongside an expansion of urban and agricultural areas. These findings suggest that land use changes have led to a relative improvement in river management, while simultaneously reducing the management level of groundwater resources. The study highlights that land use transformation redistributes available water between sources, exerting contrasting impacts on surface and groundwater resources.
کلیدواژهها [English]
-
Groundwater
-
Land use change
-
Level of Management
-
River
-
Sefidrud watershed
Ayoubikia, R., Janatrostami, S., Ashrafzadeh, A., & SHAFIEI, S. B. (2019). Optimization of regional water resources allocation in sefidroud river basin by social equity approach.[In Persian] https://www.sid.ir/paper/100216/en
Dastandaz, T., Sadeghi-Lari, A., & Bahrami, M. (2024). Spatial and temporal analysis of groundwater level, flow direction and unit hydrograph of the Kahorestan plain aquifer. *Journal of Drought and Climate Change Research*, 1(4), 57–70.[In Persian] https://doi.org/10.22077/jdcr.2023.6680.1038
Entezami, H., Mojarrad, F., Shahabi, H., & Ghaderpour, E. (2024). Spatiotemporal Variability in Snow and Land Cover in Sefid-Rud Basin, Iran. Sustainability, 16(21), 9381. https://doi.org/10.3390/su16219381
Faghani, M., Aligholi Nia, T., & Ghorbani, K. Investigation of groundwater stress using groundwater footprint indicator in agricultural products. Journal of Aquifer and Qanat, 2(1), 66-80.[In Persian] http://dx.doi.org/10.22077/jaaq.2021.1865
Gleeson, T., & Wada, Y. (2013). Assessing regional groundwater stress for nations using multiple data sources with the groundwater footprint. Environmental Research Letters, 8(4), 044010. http://dx.doi.org/10.1088/1748-9326/8/4/044010
Haghighi, A. T., Sharifi, A., Darabi, H., Mazaheri, M., Mohammadpour, R., Gohari, A.,... & Klöve, B. (2024). When rain does not run, a fingerprint of uncoordinated water resources development. Journal of Hydrology, 629, 130626. https://doi.org/10.1016/j.jhydrol.2024.130626
Kamyab-Talesh, F., Mousavi, S. F., Khaledian, M., Yousefi-Falakdehi, O., & Norouzi-Masir, M. (2019). Prediction of water quality index by support vector machine: a case study in the Sefidrud Basin, Northern Iran. Water Resources, 46(1), 112-116. https://doi.org/10.1134/S0097807819010056
Khozeymeh-Nezhad, H., Kazerooni, H., Hasanlou, H., & Ali Ramaee, R. (2023). Prioritization of sub-basins based on severity of water threat factors by gray relation analysis method. Journal of Auifer and Qanat, 3(2), 135-155.[In Persian] http://dx.doi.org/10.22077/jaaq.2020.2976.1021
Kourgialas, N. N., Karatzas, G. P., Dokou, Z., & Kokorogiannis, A. (2018). Groundwater footprint methodology as policy tool for balancing water needs (agriculture & tourism) in water scarce islands - The case of Crete, Greece. Science of The Total Environment, 615, 381-389. https://doi.org/https://doi.org/10.1016/j.scitotenv.2017.09.308
Moravatdoust Anarkoli, M., Haeripour, S., & Amirnezhad, R. (2015). Study of sefidroud river water quality in roudbar. journal of wetland ecobiology, 7(25), 33-42. SID.[In Persian] https://sid.ir/paper/174804/en
Mortezadeh, Feizollah, Pourmohammadi, Mohammad Hossein, Khoshnawaz, Saeb, Nohani, Ebrahim and Eslami, Hossein. (1404). Optimal exploitation model of water resources of Handijan plain using multi-objective bargaining method. Journal of Drought and Climate Change Research.[In Persian] https://doi.org/10.22077/jdcr.2025.9141.1131
Naderi, M., & Hajiketabi, M. (2023). Quantification of normal and sustainable management practices for groundwater resources: example of the arid Najafabad alluvial aquifer in Isfahan Province, Iran. Hydrogeology Journal, 31(2), 195-218. https://doi.org/10.1007/s10040-023-02596-8
Nagata, K., Sayyari, M., Inaoka, M., & Yajima, M. (2011). Conflict management of water resources in the Sefidrud River Basin of Iran. Water Resources Management, 6, 63.https://doi.org/10.2495/WRMI10061
Nezaratian, H., Zahiri, J., & Kashefipour, S. M. (2018). Sensitivity analysis of empirical and data-driven models on longitudinal dispersion coefficient in streams. Environmental Processes, 5(4), 833-858. https://doi.org/10.1007/s40710-018-0334-3
Richter, B. D., Davis, M. M., Apse, C., & Konrad, C. (2012). A presumptive standard for environmental flow protection. River Research and Applications, 28(8), 1312-1321. https://doi.org/10.1002/rra.1511
Salar-Ashayeri, M., Khaledian, M., Kavoosi-Kalashami, M., & Rezaei, M. (2020). Simulation of water allocation in Sefidroud irrigation and drainage network for sustainability of rice production. Paddy and Water Environment, 18(4), 607-621. https://doi.org/10.1007/s10333-020-00805-8
Salarijazi, M., Ahmadianfar, I., & Yaseen, Z. M. (2024). Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection algorithm. Physics and Chemistry of the Earth, Parts a/b/c, 134, 103561. https://doi.org/10.1016/j.pce.2024.103561
Salarijazi, M., Ghorbani, K., Mohammadi, M., Ahmadianfar, I., Mohammadrezapour, O., Naser, M. H., & Yaseen, Z. M. (2023). Spatial-temporal estimation of maximum temperature high returns periods for annual time series considering stationary/nonstationary approaches in Iran urban area. Urban Climate, 49, 101504. https://doi.org/10.1016/j.uclim.2023.101504
Soltani, M., Bahmanabadi, B., & Kaviani, A. (2025). Investigating the Changes in the Major Cultivated Area of Qazvin Plain Using Multi-Temporal Satellite Images. Journal of Drought and Climate Change Research, 2(4), [pp. TBD].[In Persian] https://doi.org/10.22077/jdcr.2025.8743.1106
-Yousefi, E., Khazai, A., & Sahragard, F. (2025). Calculating runoff in Google Earth Engine using the curve number method (Case study: Birjand Plain). Journal of Aquifer and Qanat.[In Persian] http//10.22077/10.22077/jaaq.2025.9003.1101
Zhou, X., Leng, Y., Salarijazi, M., Ahmadianfar, I., & Farooque, A. A. (2024). Development of forecasting of monthly SAR time series in river systems: A multivariate data decomposition-based hybrid approach. Process Safety and Environmental Protection, 188, 1355-1375. https://doi.org/10.1016/j.psep.2024.06.050
)