سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات162
تعداد شماره‌ها6,579
تعداد مقالات71,072
تعداد مشاهده مقاله125,681,257
تعداد دریافت فایل اصل مقاله98,911,530
نادری, سورنا, مریدی, علی. (1403). کمّی‌سازی اثرات ناشی از فعالیت‌های انسانی بر کیفیت آب‌های زیرزمینی در ایران: کاربرد رگرسیون کوانتایل به‌روش گشتاوری. , 14(2), 487-508. doi: 10.22059/jwim.2024.369475.1124
سورنا نادری; علی مریدی. "کمّی‌سازی اثرات ناشی از فعالیت‌های انسانی بر کیفیت آب‌های زیرزمینی در ایران: کاربرد رگرسیون کوانتایل به‌روش گشتاوری". , 14, 2, 1403, 487-508. doi: 10.22059/jwim.2024.369475.1124
نادری, سورنا, مریدی, علی. (1403). 'کمّی‌سازی اثرات ناشی از فعالیت‌های انسانی بر کیفیت آب‌های زیرزمینی در ایران: کاربرد رگرسیون کوانتایل به‌روش گشتاوری', , 14(2), pp. 487-508. doi: 10.22059/jwim.2024.369475.1124
نادری, سورنا, مریدی, علی. کمّی‌سازی اثرات ناشی از فعالیت‌های انسانی بر کیفیت آب‌های زیرزمینی در ایران: کاربرد رگرسیون کوانتایل به‌روش گشتاوری. , 1403; 14(2): 487-508. doi: 10.22059/jwim.2024.369475.1124

کمّی‌سازی اثرات ناشی از فعالیت‌های انسانی بر کیفیت آب‌های زیرزمینی در ایران: کاربرد رگرسیون کوانتایل به‌روش گشتاوری

مدیریت آب و آبیاری
دوره 14، شماره 2، مهر 1403، صفحه 487-508    اصل مقاله (1.68 M)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22059/jwim.2024.369475.1124
نویسندگان
سورنا نادری1؛ علی مریدی* 2
1گروه اقتصاد کشاورزی، دانشکده کشاورزی، دانشگاه تهران، کرج، ایران.
2گروه مهندسی آب، فاضلاب و محیط زیست، دانشکده مهندسی عمران، آب و محیط‌زیست، دانشگاه شهید بهشتی، تهران، ایران.
چکیده
تا کنون مطالعات متعددی به ارزیابی کیفیت منابع آب زیرزمینی در ایران پرداخته‌اند، اما سنجش سهم عوامل مختلف انسانی بر افت کیفیت این منابع کم‌تر مورد توجه پژوهش‌گران قرار گرفته شده است. در این مطالعه به‌منظور پرکردن این خلأ ابتدا شاخص کیفیت آب زیرزمینی برای تمامی استان‌های ایران در بازه سال‌های 1392 الی 1398 محاسبه شده و سپس با به‌کارگیری یک رویکرد نوین در برآورد رگرسیون کوانتایل، اثرات عوامل انسانی بر شاخص کیفیت اندازه‌گیری شده است. هم‌چنین به‌منظور بررسی نقش زیرساخت‌های فاضلاب بر کیفیت آب‌های زیرزمینی، دو شاخص ترکیبی برای توسعه‌یافتگی زیرساخت‌های تصفیه و جمع‌آوری فاضلاب به‌روش آنتروپی ساخته شده‌اند. نتایج مطالعه نشان می‌‌دهد که در نقاط دارای آب زیرزمینی با کیفیت مطلوب، اصلی‌ترین عامل اثرگذار بر کیفیت آب زیرزمینی جمعیت می‌باشد، به‌طوری‌که یک درصد رشد جمعیت 71/0 درصد شاخص کیفیت را افزایش داده است. در نواحی دارای آب‌های زیرزمینی با کیفیت متوسط و پایین نیز اصلی‌ترین عامل در افت کیفی این منابع رشد اقتصادی بخش کشاورزی می‌باشد که هر یک درصد افزایش آن بیش از 5/2 درصد شاخص کیفیت را افزایش داده است. رشد جمعیت و رشد اقتصادی بخش صنعت و معدن نیز سایر عوامل اثرگذار در این نواحی می‌باشند. یک درصد رشد در شاخص‌های ترکیبی توسعه‌یافتگی زیرساخت‌های تصفیه و جمع‌آوری فاضلاب نیز به‌طور متوسط 05/0 و 01/0 درصد شاخص کیفیت را کاهش داده است. براساس نتایج مطالعه کاهش شدت مصرف نهاده‌ها در بخش کشاورزی و ارتقای زیرساخت‌های فاضلاب اصلی‌ترین راه‌کارهای ممکن در خصوص مدیریت کیفی منابع آب زیرزمینی در ایران می‌باشند.
کلیدواژه‌ها
زیرساخت فاضلاب؛ شاخص ترکیبی؛ شاخص کیفیت آب زیرزمینی؛ گشتاور تعمیم‌یافته
عنوان مقاله [English]
Quantification of anthropogenic factors affecting Iran’s groundwater quality: Application of method of moments quantile regression
نویسندگان [English]
Soorena Naderi1؛ Ali Moridi2
1Department of Agricultural Economics, Faculty of Agriculture, University of Tehran, Karaj, Iran.
2Department of Water, Wastewater and Environmental Engineering, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran.
چکیده [English]
Until now, various studies have been conducted regarding the quality of groundwater resources in Iran, however, few researchers have paid attention to the assessment of the role of different anthropogenic factors in the decrease of the quality of these resources. In this study, in order to fill this gap, the groundwater quality index was first calculated for all provinces of Iran between 2013 to 2019, and then by using a novel approach in estimating quantile regression, the influences of anthropogenic factors on the quality index were measured. Furthermore, to investigate the role and impact of sewage infrastructures on the quality of groundwater, two composite indices for the development of sewage treatment and collection infrastructures have been calculated by Entropy method. The findings of the study illustrate that in areas with high quality groundwater, the main factor affecting the quality of groundwater is the population, so that one percent growth in it increases the quality index by 0.71 percent. In places with medium and low-quality groundwater, the main factor in the quality decline of these resources is the economic growth of the agricultural sector. In fact, each percent growth in the economy of the agricultural sector amplifies the quality index by more than 2.5 percent. Other influential factors in these areas are population growth and economic growth of industry and mining sector. One percent growth in the composite indicators of the development of sewage treatment and collection infrastructure has also lessened the quality index by 0.05 and 0.01 percent on average. According to the results of the study, reducing input intensity in the agricultural sector and upgrading the sewage infrastructure are the main possible solutions regarding the quality management of groundwater resources in Iran.
کلیدواژه‌ها [English]
Composite Index, Generalized Method of Moments, Groundwater Quality Index, Sewage Infrastructures
مراجع
  1. Abbasnia, A., Yousefi, N., Mahvi, A. H., Nabizadeh, R., Radfard, M., Yousefi, M., & Alimohammadi, M. (2019). Evaluation of groundwater quality using water quality index and its suitability for assessing water for drinking and irrigation purposes: Case study of Sistan and Baluchistan province (Iran). Human and Ecological Risk Assessment: An International Journal, 25(4), 988-1005.
  2. Amiri, V., Kamrani, S., Ahmad, A., Bhattacharya, P., & Mansoori, J. (2021). Groundwater quality evaluation using Shannon information theory and human health risk assessment in Yazd province, central plateau of Iran. Environmental Science and Pollution Research, 28(1), 1108-1130.
  3. Amiri, V., Rezaei, M., & Sohrabi, N. (2014). Groundwater quality assessment using entropy weighted water quality index (EWQI) in Lenjanat, Iran. Environmental Earth Sciences, 72(9), 3479-3490.
  4. Badeenezhad, A., Tabatabaee, H. R., Nikbakht, H.-A., Radfard, M., Abbasnia, A., Baghapour, M. A., & Alhamd, M. (2020). Estimation of the groundwater quality index and investigation of the affecting factors their changes in Shiraz drinking groundwater, Iran. Groundwater for Sustainable Development, 11, 100435.
  5. Barzegar, R., Asghari Moghaddam, A., Soltani, S., Fijani, E., Tziritis, E., & Kazemian, N. (2019). Heavy metal(loid)s in the groundwater of Shabestar area (NW Iran): Source identification and health risk assessment. Exposure and Health, 11(4), 251-265.
  6. Caetano, R. V., Marques, A. C., & Afonso, T. L. (2023). Can sustainable development induce foreign direct investment? Analysis of the complex inward and outward flows of investment in European Union countries. Journal of the Knowledge Economy.
  7. Choi, J., Hearne, R., Lee, K., & Roberts, D. (2015). The relation between water pollution and economic growth using the environmental Kuznets curve: a case study in South Korea. Water International, 40(3), 499-512.
  8. Danielopol, D. L., Griebler, C., Gunatilaka, A., & Notenboom, J. (2003). Present state and future prospects for groundwater ecosystems. Environmental Conservation, 30(2), 104-130.
  9. Dasgupta, S., Laplante, B., Wang, H., & Wheeler, D. (2002). Confronting the environmental Kuznets curve. The Journal of Economic Perspectives, 16(1).
  10. Ebrahimi, M., Kazemi, H., Ehtashemi, M., & Rockaway, T. D. (2016). Assessment of groundwater quantity and quality and saltwater intrusion in the Damghan basin, Iran. Geochemistry, 76(2), 227-241.
  11. Ghobaishavi, F., Akbari, A., Dadras Moghadam, & Hoseini, S. M. (2021). Urbanization, water pollution and economic growth in provinces of Iran with spatial panel approach. Journal of Water and Wastewater, 32(6), 48-57. (In Persian).
  12. Givi, M., Jahangiri-Rad, M., & Tashauoei, H. (2020). Assessment of groundwater quality in the Jajrood river basin, Tehran, Iran: A coupled physicochemical and hydrogeochemical study. Journal of Advances in Environmental Health Research, 9(3), 237-254.
  13. Glanville, K., Sheldon, F., Butler, D., & Capon, S. (2023). Effects and significance of groundwater for vegetation: A systematic review. Science of The Total Environment, 875, 162577.
  14. Gnangnon, S. K. (2023). Effect of the shadow economy on Tax reform in developing countries. Economies, 11(3), 96.
  15. Hosseinzadeh Talaee, P. (2015). Analysis of groundwater quality in the northwest of Iran. Desalination and Water Treatment, 56(9), 2323-2334.
  16. Hosseinzadeh, M., Saghaian, S. H., Nematollahi, Z., & Shahnoushi Foroushani, N. (2022). Water consumption and economic growth: evidence for the environmental Kuznets curve. Water International, 47(8), 1333-1348.
  17. Ike, G. N., Usman, O., & Sarkodie, S. A. (2020). Testing the role of oil production in the environmental Kuznets curve of oil producing countries: New insights from Method of Moments Quantile Regression. Science of The Total Environment, 711, 135208.
  18. Kim, H. R., Yu, S., Oh, J., Kim, K. H., Oh, Y. Y., Kim, H. K., Park, S., & Yun, S. T. (2019). Assessment of nitrogen application limits in agro-livestock farming areas using quantile regression between nitrogen loadings and groundwater nitrate levels. Agriculture, Ecosystems & Environment, 286, 106660.
  19. Koch, J., Gotfredsen, J., Schneider, R., Troldborg, L., Stisen, S., & Henriksen, H. J. (2021). High resolution water table modeling of the shallow groundwater using a Knowledge-Guided Gradient Boosting Decision Tree model. Frontiers in Water, 3, 701726.
  20. Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89.
  21. Land, E., & Peters, C. N. (2023). Groundwater impacts on stream biodiversity and communities: a review. Journal of Freshwater Ecology, 38(1).
  22. Lee, C. C., Chiu, Y. B., & Sun, C. H. (2010). The environmental Kuznets curve hypothesis for water pollution: Do regions matter?. Energy policy, 38(1), 12-23.
  23. Li, F., Wei, W., Zhao, Y., & Qiao, J. (2017). Groundwater depth prediction in a shallow aquifer in north China by a quantile regression model. Hydrogeology Journal, 25(1), 191-202.
  24. Li, H., Calder, C. A., & Cressie, N. (2007). Beyond Moran’s I: Testing for spatial dependence based on the spatial autoregressive model. Geographical Analysis, 39(4), 357-375.
  25. Li, M., Wang, J., & Chen, Y. (2019). Evaluation and influencing factors of sustainable development capability of agriculture in countries along the Belt and Road route. Sustainability, 11(7), 2004.
  26. Li, P., Karunanidhi, D., Subramani, T., & Srinivasamoorthy, K. (2021). Sources and consequences of groundwater contamination. Archives of Environmental Contamination and Toxicology, 80(1), 1-10.
  27. Liu, H., & Song, Y. (2020). Financial development and carbon emissions in China since the recent world financial crisis: Evidence from a spatial-temporal analysis and a spatial Durbin model. Science of The Total Environment, 715, 136771.
  28. Machado, J. A. F., & Santos Silva, J. M. C. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173.
  29. Maghrebi, M., Noori, R., Partani, S., Araghi, A., Barati, R., Farnoush, H., & Torabi Haghighi, A. (2021). Iran’s groundwater hydrochemistry. Earth and Space Science, 8(8).
  30. Mahaqi, A. (2021). Groundwater quality for drinking and agricultural purposes, Saleh Abad (NE Iran): geochemical and statistical approaches. Carbonates and Evaporites, 36(3), 58.
  31. Ministry of Agriculture Jihad. (2020). 2018-2019 Statistical yearbook of Agriculture, Retrieved from: https://amar.maj.ir/page-amar/FA/65/form/pId3352.
  32. Mirmohammad Sadeghi, M., Ebrahimi, B., & Pasandi, M. (2018). Groundwater depletion and stream-aquifer interaction (Case study: The Najafabad Aquifer in Zayandehroud River basin). Water and soil science, 22(2), 107-125. (In Persian).
  33. Mirzavand, M., Ghasemieh, H., Javad Sadatinejad, S., & Bagheri, R. (2020). Delineating the source and mechanism of groundwater salinization in crucial declining aquifer using multi-chemo-isotopes approaches. Journal of Hydrology, 586, 124877.
  34. Najafabadi, M. M., Mirzaei, A., Laskookalayeh, S. S., & Azarm, H. (2022). An investigation of the relationship among economic growth, agricultural expansion and chemical pollution in Iran through decoupling index analysis. Environmental Science and Pollution Research, 29(50), 76101–76118.
  35. Nasrabadi, T., Nabi Bidhendi, G. R., Karbassi, A. R., Hoveidi, H., Nasrabadi, I., Pezeshk, H., & Rashidinejad, F. (2009). Influence of Sungun copper mine on groundwater quality, NW Iran. Environmental Geology, 58(4), 693-700.
  36. Nassiri, M., & Mehdinejad, M. H. (2022). Groundwater quality assessment of north of Iran (Golestan Province) using multivariate factor analysis and GIS techniques. Water Practice and Technology, 17(6), 1284-1293.
  37. Noori, R., Hooshyaripor, F., Javadi, S., Dodangeh, M., Tian, F., Adamowski, J. F., Berndtsson, R., Baghvand, A., & Klöve, B. (2020). PODMT3DMS-Tool: proper orthogonal decomposition linked to the MT3DMS model for nitrate simulation in aquifers. Hydrogeology Journal, 28(3), 1125-1142.
  38. Noori, R., Maghrebi, M., Mirchi, A., Tang, Q., Bhattarai, R., Sadegh, M., Noury, M., Torabi Haghighi, A., Kløve, B., & Madani, K. (2021). Anthropogenic depletion of Iran’s aquifers. Scientific Reports, 118(25).
  39. Pak, Z., & Mohseni Movahhed, S. (2017). The effects of excessive withdrawal and recent droughts on Saveh Plain aquifer. Iran-Water Resources Research, 13(4), 154-160. (In Persian).
  40. Paolo Miglietta, P., De Leo, F., & Toma, P. (2017). Environmental Kuznets curve and the water footprint: an empirical analysis. Water and Environment Journal, 31(1), 20-30.
  41. Pashaeifar, M., Dehghanzadeh, R., Ramazani, M. E., Rafieyan, O., & Nejaei, A. (2021). Spatial and temporal assessment of groundwater quality and hydrogeochemical processes in Urmia Lake Basin, Iran. Water Supply, 21(8), 4328-4342.
  42. Paudel, K. P., Zapata, H., & Susanto, D. (2005). An empirical test of environmental Kuznets curve for water pollution. Environmental and Resource Economics, 31(3), 325-348.
  43. Raifu, I. A., & Aminu, A. (2023). The effect of military spending on economic growth in MENA: evidence from method of moments quantile regression. Future Business Journal, 9(1), 7.
  44. Saatsaz, M., Sulaiman, W. N. A., Eslamian, S., & Mohammadi, K. (2013). Hydrogeochemistry and groundwater quality assessment of Astaneh-Kouchesfahan Plain, Northern Iran. International Journal of Water, 7(1/2), 44.
  45. Sadeghi, S. H., Nouri, H., & Faramarzi, M. (2017). Assessing the spatial distribution of rainfall and the effect of altitude in Iran (Hamadan Province). Air, Soil and Water Research, 10.
  46. Seidmohammadi, A., Sharifi, Z., Faradmal, J., Norouzi, H. A., Rafati, lida, Aleseyyed, S. B., & Asadi, F. (2020). Assessment of groundwater quality in west metropolitan of Iran: An application of GIS and modeling. Environmental Quality Management, 29(4), 59-72.
  47. Sheikhy Narany, T., Ramli, M. F., Aris, A. Z., Sulaiman, W. N. A., & Fakharian, K. (2014). Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran. Environmental Monitoring and Assessment, 186(9), 5797-5815.
  48. Shin, J., You, H., Kaown, D., Koh, E. H., Lee, S., Lim, C. Y., & Lee, K. K. (2021). Investigating distribution of nitrate concentration using ensemble nonparametric quantile regression. Science of The Total Environment, 777, 146098.
  49. Tarawneh, M. S. M., Janardhana, M. R., & Ahmed, M. M. (2019). Hydrochemical processes and groundwater quality assessment in North eastern region of Jordan valley, Jordan. HydroResearch, 2, 129-145.
  50. Thompson, A., & Thompson, A. (2014). Environmental Kuznets curve for water pollution: The case of border countries. Modern Economy, 5(1), 66-69.
  51. Uhl, A., Hahn, H. J., Jäger, A., Luftensteiner, T., Siemensmeyer, T., Döll, P., Noack, M., Schwenk, K., Berkhoff, S., Weiler, M., Karwautz, C., & Griebler, C. (2022). Making waves: Pulling the plug-Climate change effects will turn gaining into losing streams with detrimental effects on groundwater quality. Water Research, 220, 118649.
  52. Uribe, J. M., & Guillen, M. (2020a). Quantile regression: A methodological overview. In Quantile Regression for Cross-Sectional and Time Series Data (pp. 13-19). Cham: Springer.
  53. Uribe, J. M., & Guillen, M. (2020b). Why and when should quantile regression be used? In Quantile Regression for Cross-Sectional and Time Series Data (pp. 1-5). Cham: Springer.
  54. Vesali Naseh, M., Noori, R., Berndtsson, R., Adamowski, J., & Sadatipour, E. (2018). Groundwater pollution sources apportionment in the Ghaen plain, Iran. International Journal of Environmental Research and Public Health, 15(1), 172.
  55. Waldmann, E. (2018). Quantile regression: A short story on how and why. Statistical Modelling, 18(3-4), 203-218.
  56. World Health Organization. (1997). Guidelines for drinking water quality. Recommendations (4th ed.). World Health Organization.
آمار
تعداد مشاهده مقاله: 176
تعداد دریافت فایل اصل مقاله: 226





سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب