ارزیابی آسیب‌پذیری تلفیقی منابع آب سطحی و زیرزمینی با ترکیب دو شاخصDRASTIC و WRASTIC

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد عمران، گروه مدیریت ساخت و آب، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران

2 دانشیار، گروه مدیریت ساخت و آب، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران

3 استادیار پژوهشی پژوهشکده هیدرولیک و محیط های آبی، موسسه تحقیقات آب، تهران، ایران

چکیده

امروزه فعالیت‌های بشری یکی از مهم‌ترین چالش‌ها در مسائل مرتبط با کیفیت منابع آب است که در حال حاضر یکی از تهدیدهای مدیریت در بخش بهره‌برداری بشمار می‌رود. این موضوع ضرورت شناسایی و ارزیابی منابع آب را از دیدگاه‌های مختلف خواهد داشت که یکی از این رویکردها، آسیب‌پذیری منابع آب است. این مطالعه به ارزیابی آسیب‌پذیری منابع آب با تلفیق دو شاخص آسیب‌پذیری DRASTIC در بخش آبخوان و شاخص آسیب‌پذیری WRASTIC در بخش ارتفاعات منطقه آستانه-کوچصفهان می‌پردازد. در این مطالعه پس از ارزیابی آسیب‌پذیری با شاخص‌های مربوطه از دو روش آنتروپی و تحلیل سلسله مراتبی برای واسنجی براساس حداکثرسازی همبستگی با غلظت نیترات انجام گرفت. بررسی نتایج نشان داد که بیشترین اهمیت در هر دو شاخص بر اساس وزن‌های واسنجی شده شامل کاربری صنعتی در شاخص WRASTIC  و عمق آب زیرزمینی در شاخص DRASTIC است. بررسی نتایج واسنجی نشان داد که میزان همبستگی نیترات با شاخص آسیب‌پذیری DRASTIC با روش AHP مقدار 61/0 و شاخص WRASTIC با روش شانون آنتروپی مقدار 58/0 بدست آمد. همچنین نتایج واسنجی نشان داد که شاخص WRASTIC بین مقادیر 17 تا 46 و شاخص DRASTIC  بین 119 تا 180 متغیر است. براساس نتایج تلفیقی در بخش غربی و شرقی ارتفاعات، میزان آسیب‌پذیری با استفاده از شاخص WRASTIC  کمتر و در بخش غربی آبخوان نسبت به بخش شرقی آسیب‌پذیری بالاتری وجود دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Integrated vulnerability assessment of surface and groundwater resources by combining two indices DRASTIC and WRASTIC

نویسندگان [English]

  • Naser Asgarbioki 1
  • Ahmad sharafati 2
  • Hamid Kardan moghaddam 3
1 MSc student, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Associate Professor, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran
3 Assistant Professor, Water Research Institute, Ministry of Energy Water Research Institute, Tehran, Iran
چکیده [English]

Today, human activities are one of the most important challenges in issues related to the quality of water resources, which is currently considered one of the management threats in the exploitation sector. This issue will require the identification and evaluation of water resources from different perspectives, of which the vulnerability of water resources is one. This study evaluates the vulnerability of water resources by combining two DRASTIC vulnerability indices in the aquifer sector and WRASTIC vulnerability index in the upland sector of Astana-Kuchsefahan region. In this study, after assessing the vulnerability with the relevant indicators, two methods of entropy and hierarchical analysis were used for scaling based on maximizing the correlation with nitrate concentration. The results showed that the most importance in both indices based on recalibrated weights include industrial use in the WRASTIC index and underground water depth in the DRASTIC index. The analysis of the calibration results showed that the correlation of nitrate with the DRASTIC vulnerability index using the AHP method was 0.61 and with the WRASTIC index was 0.58 using the Shannon entropy method. Also, the measurement results showed that the WRASTIC index ranges from 17 to 46 and the DRASTIC index ranges from 119 to 180. Based on the consolidated results in the western and eastern parts of the highlands, the level of vulnerability using the WRASTIC index is lower and there is a higher vulnerability in the western part of the aquifer compared to the eastern part.

کلیدواژه‌ها [English]

  • Vulnerability
  • DRASTIC index
  • WRASTIC index
  • Calibration

Integrated vulnerability assessment of surface and groundwater resources by combining two indices DRASTIC and WRASTIC

EXTENDED ABSTRACT

Introduction:

Today, human activities are one of the most important challenges in issues related to the quality of water resources, which is currently considered one of the management threats in the exploitation sector. This issue will require the identification and evaluation of water resources from different perspectives, of which is the vulnerability of water resources is one. The concept of vulnerability shows the interaction of water sources and pollutants and the potential of polluting sources with regard to the inherent potential of pollution.

Objective:

Vulnerability is a term used to represent the natural ground and surface characteristics that describe the ease with which groundwater and surface may be contaminated by human activities. This study evaluates the vulnerability of water resources by combining DRASTIC vulnerability indices in the aquifer sector and the WRASTIC vulnerability index in the upland sector of the Astana-Kuchsefahan region. Different methods have been introduced to evaluate the vulnerability of alluvial aquifers of which the overlay method and index weight rating are among the most popular ones.

Methodology:

The DRASTIC vulnerability index proposed by Aller is one of the most important methods in determining vulnerability of alluvial aquifers and different studies are conducted based on it. WRASTIC index was provided as seven informational layers and the index number for each sub-basin was calculated by weighting, ranking, and integrating the layers. These two indicators have been emphasized in expressing the concept of vulnerability in the highlands and aquifers, that after calculating these two indicators, the state of vulnerability in a study area is determined.In this analysis, two methods of entropy and hierarchical analysis were used to balance two indicators based on maximizing the correlation with nitrate concentration.Examining the results showed that the most important in both indices based on recalibrated weights include industrial use in the WRASTIC index and underground water depth in the DRASTIC index.

Result:

The results showed that in the western and eastern parts of the highlands, the level of vulnerability using the WRASTIC index is lower, and in the western part of the aquifer, there is a higher vulnerability compared to the eastern part. The results of this study indicate that in the Astana-Kuchsefahan aquifer, which is a coastal aquifer with low groundwater depth and high nutrition, the groundwater depth parameter is the most important in the DRASTIC index and plays an important role in the transfer and creation of pollution.In the WRASTIC index, the industrial use that can produce a high volume of pollution is of very important.The most importance in both indices was evaluated based on the rescaled weights, which shows the industrial use has the highest weight in the WRASTIC index with a weight of 5 and underground water depth with a weight of 5.5.Also, the slope in the DRASTIC vulnerability index with a weight of 0.5 and the basin area in the WRASTIC index with a weight of 0.7 have the lowest weight.

Conclusion:

The obtained results can be fully evaluated according to the purpose of this study and two DRASTIC indices were calculated in the northern part of the area (aquifer) and WRASTIC index in the southern part and the heights of the area and finally by combining these two indices, the vulnerability of the entire study area was calculated.

مراجع

Aller. (1987). DRASTIC: A Standardized System for Evaluating Ground Water Pollution ... - Google Books. https://books.google.com/books?hl=en&lr=&id=UrTEoGnVlkEC&oi=fnd&pg=PR9&dq=DRASTIC:+A+Standardised+System+for+EvaluatingGroundwater+Pollution+Potential+Using+Hydrogeologic+Settings+(EPA+600/2-00).+&ots=UwkRW_1wSi&sig=54p-_n1tOlfI0c_Bqj2GNGK1fMw#v=onepage&q
Atashi Yazdi, S. S., Motamedvaziri, B., Hosseini, S. Z., & Ahmadi, H. (2023). Reciprocal analysis of groundwater potentiality and vulnerability modeling in the Bahabad Plain, Iran. Environmental Science and Pollution Research, 30(14), 39586–39604. https://doi.org/10.1007/S11356-022-24810-Y/METRICS
Baghapour, M. A., Nobandegani, A. F., Talebbeydokhti, N., Bagherzadeh, S., Nadiri, A. A., Gharekhani, M., & Chitsazan, N. (2016). Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran. Journal of Environmental Health Science and Engineering, 14(1), 1–16. https://doi.org/10.1186/S40201-016-0254-Y/TABLES/6
Beheshti, J., Javadi, S., Hosseini, S. A., & Moghaddam, H. K. (2022). Evaluation of strategies for pumping optimization of coastal aquifers using numerical simulation and game theory. Environmental Earth Sciences, 81(12), 1–16. https://doi.org/10.1007/S12665-022-10459-W/METRICS
Elzain, H. E., Chung, S. Y., Senapathi, V., Sekar, S., Lee, S. Y., Roy, P. D., Hassan, A., & Sabarathinam, C. (2022). Comparative study of machine learning models for evaluating groundwater vulnerability to nitrate contamination. Ecotoxicology and Environmental Safety, 229, 113061. https://doi.org/10.1016/J.ECOENV.2021.113061
Hülsmann, S., Sušnik, J., Rinke, K., Langan, S., van Wijk, D., Janssen, A. B., & Mooij, W. M. (2019). Integrated modelling and management of water resources: the ecosystem perspective on the nexus approach. Current Opinion in Environmental Sustainability, 40, 14–20. https://doi.org/10.1016/J.COSUST.2019.07.003
Javadi, S., Kardan Moghaddam, H., & Neshat, A. (2020). A new approach for vulnerability assessment of coastal aquifers using combined index. Https://Doi.Org/10.1080/10106049.2020.1797185, 37(6), 1681–1703. https://doi.org/10.1080/10106049.2020.1797185
Javadi, S., Kavehkar, N., Mohammadi, K., Khodadadi, A., & Kahawita, R. (2011). Calibrating DRASTIC using field measurements, sensitivity analysis and statistical methods to assess groundwater vulnerability. Water International, 36(6), 719–732. https://doi.org/10.1080/02508060.2011.610921
Kardan Moghaddam, H., Jafari, F., & Javadi, S. (2017). Vulnerability evaluation of a coastal aquifer via GALDIT model and comparison with DRASTIC index using quality parameters. Hydrological Sciences Journal, 62(1), 137–146. https://doi.org/10.1080/02626667.2015.1080827
Kardan Moghaddam, H., Rahimzadeh kivi, Z., Bahreinimotlagh, M., & Moghddam, H. K. (2022). Evaluation of the groundwater resources vulnerability index using nitrate concentration prediction approach. Geocarto International, 37(6), 1664–1680. https://doi.org/10.1080/10106049.2020.1797184
Lakshminarayanan, B., Ramasamy, S., Anuthaman, S. N., & Karuppanan, S. (2021). New DRASTIC framework for groundwater vulnerability assessment: bivariate and multi-criteria decision-making approach coupled with metaheuristic algorithm. Environmental Science and Pollution Research 2021 29:3, 29(3), 4474–4496. https://doi.org/10.1007/S11356-021-15966-0
Maleki, P., Rahman, P., Jafariyan, H. A., Salmanmahiny, A., Ghorbani, R., Gholizadeh, M., & Harsij, M. (2020). The risk assessment of water pollution in the Gorgan Bay catchment using the WRASTIC index. Environmental Nanotechnology, Monitoring & Management, 14, 100393. https://doi.org/10.1016/J.ENMM.2020.100393
Moghadam Yekta, N., Rafati, M., Karimi, A., & Sadjadi, N. (2022). Investigation of Water Quality of Urban Rivers and Assessing their Suitability to Protect the Environment (Case Study: Kan River, Tehran City). Environment and Water Engineering, 8(3), 738–752. https://doi.org/10.22034/JEWE.2022.315256.1675
Nsfwqi, B. (2016). • Evaluation of Surface Water Quality. Archives of Hygiene Sciences, 5(4), 265–277.
Pirali Zefrehei, A. R., Hedayati, A., Pourmanafi, S., Beyraghdar Kashkooli, O., & Ghorbani, R. (2020). Environmental vulnerability assessment of Choghakhor International Wetland during 1985 to 2018. Lakes & Reservoirs: Research & Management, 25(1), 49–60. https://doi.org/10.1111/LRE.12298
Saravanan, S., Pitchaikani, S., Thambiraja, M., Sathiyamurthi, S., Sivakumar, V., Velusamy, S., & Shanmugamoorthy, M. (2023). Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India. Environmental Monitoring and Assessment, 195(1), 1–19. https://doi.org/10.1007/S10661-022-10601-Y/METRICS
تحقیقات آب و خاک ایران
دوره 54، شماره 11
بهمن 1402
صفحه 1715-1732

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