اولویت‌بندی عوامل مؤثر بر گردوغبار با استفاده از مدل DPSIR و روش‌های تصمیم‌گیری در شهرستان ریگان، استان کرمان

نویسندگان

1 دانشگاه اردکان

2 گروه علوم و مهندسی محیط زیست، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان و عضو پژوهشکده گیاهان دارویی و صنعتی، دانشگاه اردکان،اردکان،ایران.

3 گروه مهندسی طبیعت، دانشکده کشاورزی و منابع طبیعی، دانشگاه اردکان

10.22052/deej.2020.9.26.11

چکیده

گردوغبار محلی ناشی از فرسایش بادی از جمله بلایای طبیعی است که عمدتاً در مناطق خشک و نیمه‌خشک ایران مرکزی مشاهده می‌شود و معمولاً علت آن علاوه بر شرایط طبیعی حاکم، عدم مدیریت معقول روی منابع خاک است. هدف از این پژوهش، بررسی عوامل مؤثر بر گردوغبار محلی با استفاده از مدل DPSIR و اولویت‌بندی راهکار‌های ارائه‌شده با استفاده از تکنیک AHP < /span> و TOPSIS می‌باشد. گام اول بر اساس مرور منابع و بازدید میدانی از منطقۀ چرخۀ علت‌معلولی گردوغبار بسته شد و در گام دوم با استفاده از روش سلسله‌مراتبی معیار‌ها و شاخص‌های مشخص‌شده به‌وسیلۀ پرسش‌نامه توسط خبرگان تأیید و در نرم‌افزار اکسپرت چویس وزن‌دهی و در نهایت راهکار‌های ارائه‌شده در روش TOPSIS رتبه‌بندی گردید. معیار‌های انتخاب‌شده بر اساس مدل DPSIR هستند که به‌ترتیب 4 معیار اصلی نیرو محرکه، فشار، وضعیت و اثرات است. نتایج اوزان‌های به‌دست‌آمده در نرم‌افزار اکسپرت چویس به‌ترتیب عبارت‌اند از: نیرو محرکه (397/0)، فشار (275/0)، وضعیت (186/0) و اثرات (160/0) و همچنین از میان 33 شاخص شناسایی‌شده، سه شاخص رشد جمعیت (075/0)، افزایش تقاضای آب (067/0) و شاخص محیط‌زیست (059/0) به‌ترتیب در ردۀ یک تا سه قرار گرفتند. رتبه‌بندی پاسخ‌ها بر اساس نتایج روش TOPSIS مدیریت منابع آبی (592/0)، جلوگیری از سدسازی (575/0) و ریگ‌پاشی (75/0) بوده که به‌ترتیب رتبۀ اول تا سوم را به دست آوردند. نتایج نشان داد که مدیریت صحیح منابع آبی در حوزه‌های مختلف و بهره‌گیری از عناصر طبیعت برای حفظ آن از اهمیت بالایی در منطقه برخوردارند.

کلیدواژه‌ها


عنوان مقاله [English]

Prioritizing effective factors on dust through DPSIR model and decision-making methods in Rigan city, Kerman province

نویسندگان [English]

  • Mina Behnood 1
  • Maryam Morovati 2
  • Mohammad Javad Ghanei Bafghi 3
1
2
3
چکیده [English]

Introduction: As a serious threat for human societies, especially in arid and semi-arid regions, dust storm is an irreversibly destructive phenomenon with irreparable effects. Being caused by dust storms and the movement of fine soil particles, desertification and wind erosion are two important environmental crises in arid and semi-arid areas which may bring about some social and economic consequences including an increase in migration of people, especially the elites, unemployment, sharp reduction of revenues in various urban and rural jobs, decrease of crops production, tourism downturn, disruption of air transportation, closure of training and recreation centers etc. In this regard, considering the detrimental effects incurred by dust storms on the health and economy of a society and the climate change, it should be noted that understanding the nature, origin and effects of dust storms could play an important role in identifying and setting its control methods. This study, therefore, sought to investigate the causal relationships between the influential factors on dust storms as identified by the DPSIR model, weighing the identified criteria and indices by the experts via the AHP technique, and ranking the specified strategies by TOPSIS in Rigan city, Kerman province.
 
Materials and Method: Based on the review of the related literature and the data collected form field observations, the cyclic causes of wind erosion were examined, using the DPSIR framework. The criteria and indices identified by administering a standard questionnaire were confirmed by experts (selected from those working in departments of Environment, Natural Resources, Agricultural-Jahad, Environmental Health, Urban Planning, and some University lecturers and faculty members). Validity and reliability of the data were measured by SPSS software. The criteria selected for analyzing the data are the same as the four main elements of the DPSIR model: the driving force, pressure, state, and effect, each containing a number of indices which are as follows: the driving force indices include the population growth, inward immigration, land use, natural resources management, increase in water demand, public awareness and, urban development; the pressure indices are health, security, immigration, employment status, income status, investment, agriculture, and the environment; the state indices comprise of the land use change,  environmental degradation, utilization of water resources, rising diseases, inward immigration, social welfare decline, destruction of agricultural products, soil degradation, and air pollution; the effect indices include Destruction of cities beauty, immigration from villages, rise of respiratory diseases, destruction of natural resources, expert migration, landform change, increase of Particulates, drought, and the downfall of agricultural productivity. The criteria and indices were then weighted by AHP method through Expert Choice Software and finally, the proposed strategies were ranked according to TOPSIS method.
 
Results: Having applied DPSIR model, the cycles of the influential factors on dust storms were examined, followed by the weighing of the identified criteria, and the indices confirmed by the experts, using AHP technique through the Expert Choice software. The results of the study indicated that the driving force with the weight of 0.379 was, from among the four criteria, ranked first, followed in turn by pressure with the weight of 0.257, the state with the weight of 186, and the effects with weight 160/0. On the other hand, the findings showed that out of the final indices weights, Population growth with the weight of 0.75 ranked the first, and increase of water demand, and the environment were ranked second and third with weights of 0.67 and 0.059 respectively. Finally, the TOPSIS method was used to rank the responses whose results were turned out to be as follows: 1-Proper management of water resources (592/0); 2- Preventing dam construction (5/175); 3-Pebble mulch (0, 75%); 4. Not applying inefficient models, especially in agriculture (519/0); 5. Enforcing existing laws regarding environmental protection (494/0); 6- conducting seedling operations (427/0); 7- Increasing public awareness (0.415); 8. Mulching (0.440) 9. Constructing sediment trap (0.339); 10. Using Biological wind-break systems (0.346).
 
Discussion and Conclusion: As a potential threat to human survival, dust phenomenon is considered as one of the most important environmental crises in arid and semi-arid regions. Kerman province includes more than 17.6 percent of the Iran’s desert lands, the most significant part of which are located in its eastern regions including Rigan, Fahraj, Norshshir, and Bam that comprise of 1302,000 hectares desert lands, accounting for more than 55 percent of the province's total desert areas. Due to such causes as frequent droughts, seasonal drying of rivers, lack of suitable vegetation, and high evaporation, Reagan city experiences a large number of dust storms annually. In present study, DPSIR model was found to be effective in identifying, from among the various factors suggested by the experts, the most important factors affecting local dust. It is consistent with the results found by Khatibi et al (2015) who emphasized the necessity of using this model in solving environmental problems. In the same vein, Salehi and Zebbardast (2016), with the cooperation of the Tehran environmental organization, identified and categorized the factors affecting air pollution in Tehran city in the current state of affair, using the causative-effect chain model (DPSIR). The findings of the current study showed that the driving force with the weight of 0.397 had the highest weight, followed by the pressure (0.275), state (0.186), and effects (0.160) respectively. In fact, it was found that accurate identification of the driving forces in each region could be a great help in solving their problems which is consistent with the results found by Jafarzadeh Haghighi Fard et al. (2013). As for the final weighting, the findings suggested that population growth with a weight of 0.5 was the most important index, a fact that corresponds with the findings reported by Shahi et al. (2018) and Nemati and Sardari Leather (2017). The results of this study also indicated that the proper management of water resources in different areas and the utilization of nature elements were of high importance.

کلیدواژه‌ها [English]

  • Natural disasters
  • Driving forces
  • Pressures
  • State
  • Impacts
Abbas Nejad, A. and Zahab Nazori, S., 2012. Identification of erosion forms in Rafsanjan Plain, Quantitative Geomorphology Researches (2), pp. 127-144. 2. Amin, p. and Taghizadeh-ye Meredi, R., 2016. Investigation of the potential of soil wind erosion in arid and permafrost regions of Iran (Case study: Yazd-Ardakan plain). Quantitative Geomorphology Researches, 5 (2), pp. 20-35. 3. Atay, M., 2010. Multi-criteria decision making. Shahrood University Press, First Edition. 4. Atkins, J.P., Burdon, D., Elliot, M. and Gregory, A.J., 2011. Management of the marine environment: integrating ecosystem services and societal benefits with the DPSIR framework in a systems approach. Mar. Pollut. Bull. (62): 215- 226. 5. Department of Natural Resources and Watershed Management, Kerman Province, 2018. 6. Chappella, A., Webbb, N.P., Guerschmana, G., Dean, P.G., Mata, T.T., Handcock, R.N., Leyse, J.F. and Butlerf, H.J., 2018, "Improving ground cover monitoring for wind erosion assessment using MODIS BRDF parameters", Remote Sensing of Environment 204, pp.756-768. 7. Gari, S.R., Newton, A.I. and Icely, J.D., 2015. A review of the application and evolution of the DPSIR framework with an emphasis on coastal social- ecological systems, Ocean & Coastal Management, 103, pp. 63-77. 8. Ghaffari, d. and Mostafazadeh, R., 2015. Investigating the origin of effects and solutions of dusty phenomena in Iran, Journal of Protecting and Utilizing Natural Resources, Vol. 4, (2), pp. 157-125. 9. Ghorbani, H., Zahedi, S. and Hedayati Aghamshadi, A., 2015. Evaluating the environmental effects of the construction of the Nature Bridge sidewalk and improving its ecological performance in the geographical area of Tehran's District 3. Geographical Research of Urban Planning, Vol. 3, Number 2, pp. 261-247. 10. Hanifepour, M., Mashhadi, N. and Khosravi, h., 2013. Effect of intensity and duration of dryness on wind conditions and wind erosion in agricultural lands (Case study: Damghan city), Journal of Research, 3 (10), pp. 65-77. 11. Ghodsipoor, H., 2016. Analytical Hierarchy (AHP), Amir Kabir University of Technology. Twelfth Edition. Number of pages 222. 12. Jafarzadeh Haghighi Fard, N., Al-Busouke, S.A., Sadegari, A., Lahijanzadeh, A. and Khaksar, E., DPSIR Conceptual Model Indicators in Studies of dust Effects on Ahwaz City Transport Using Multi-criteria Decision Making Technique. 2th National Conference on Air and Sound Pollution Management, Tehran, Sharif University of Technology, https://www.civilica.com/Paper-CANPM02-CANPM02_020.html 13. Khatibi, A., Danehkar, A. and Pourebrahim, S., 2015. "Introduction of DPSIR Model and Its Applicable in Environmental decision making", Human & Environment, 13(4), pp. 65-79. 14. Khalidi, K., 2013. Economic losses of dust storms on the western province of Iran (case study: Ilam, Khuzestan, Kermanshah). Economic Modeling Quarterly, 7 (33), pp. 105-125. 15. Mahmoud Abadi, M. and Rajabpour, E., 2017. Investigation of Soil Moisture Moisture on Erosion Severity Using Laboratory Wind tunnel. Water and Soil Conservation Research Journal, Vol. 24, pp. 167-183. 16. Mirza'i, M., Salman Mahanini, A.S. and Mirkarimi, h., 2014. Location of landfill by applying hierarchical analysis process and TOPSIS method (Case study: Golpayegan city), Journal of Natural Environment of Iran, Vol. 67, (1), pp. 105-119. 17. Maxim, L., Spangenberg, J.H.O. and Connor, M., 2009. An analysis of risks for biodiversity under the DPSIR Framework. Ecological Economic, 69, pp. 12-23. 18. Mohammadizadeh, M.J., Karbassi, A.R., Nabi Bidhendi, Gh.R. and Abbaspour, M., 2016. Integrated environmental management model of air pollution control by hybrid model of DPSIR and FAHP. Global J. Environ. Sci. Manage. 2 (4), pp. 381-388. 19. Mahmoud Abadi, M. and Zamani, S., 2012. Investigating the Effects of Wind Speed and Particle Size Distribution on Sediment Deposition Due to Wind Erosion, Journal of Engineering and Management of Abkiz, Vol. 4, Issue 3, pp. 141-151. 20. Marwaj, K., 2017. "Classification and Proportion of Lands for Development of Disadvantaged Areas in the Resistance Economy (Case Study: Reagan County in the South East of Kerman Province", Geography and Development, No. 48, pp. 133-152. 21. Nemati, M. and Sardari Charmi, A., 2017. "Analysis of Latiyan Dam Catchment's Water Resource Condition Based On DPSIR Conceptual Model", Human & Environment, 15(3), pp. 31-46. 22. Oro, Laura A. de. Colazo, J.C. and Buschiazzo, D.E., 2016. RWEQ-Wind erosion predictions for variable soil roughness conditions, Aeolian Research 20, pp. 139-146. 23. Reagan Environmental Bureau, 2018. 24. Saaty, T.L., 2000. Fundamentals of decision making and priority theory. 2nd Ed., PA: RWS Publication. Pittsburgh. 25. Shahi, E., Zebardast, L., Salehi, E. and Salehi, R., 2018. "Analysis of Human Habitat in Tehran Based on SoE", Human Geography Research, 50 (2), pp. 277-295. doi: 10.22059/jhgr. 2016. 59970 26. Salehi, E. and Zebardast, L., 2016. Application of Driving force- Pressure- State-Impact- Response (DPSIR) framework for integrated environmental assessment of the climate change in city of Tehran, Graduate Faculty of Environment, University of Tehran, Iran. 2 (1): 83-92. 27. Shahnavaz, M., Gholami, A.S., Norouzadeh Haddad, M. and shelter, O.H., 2017. Investigating the Efficiency of Polymer Mulch and Mulch with Plant Base on Chalky on Reducing Soil Loss in Land Suitable for Erosion in Khuzestan Province. Iran Water and Soil Research, Vol. 48, (3), pp. 651-658. 28. Shahsooni, A.S., Yarahmadi, M., Jafarzadeh Haghighifard, N., Naeemabadi, A. Mahmoudian, M.H., Saki, h., Solat, M.H., Suleimani, Z. and Nadafi, K., 2010. Effects of dust storms on health and the environment. Journal of North Khorasan University of Medical Sciences, Vol. 2, Issue 4, pp. 45-56. 29. Shu-dong, Z., Mueller, F., Burkhard, B., Xing-jin, C. and ying, H., 2013. Assessing Agricaltural Sustainabel Development Based on the DPSIR Approueh: case study in Jiangsu, china, Journal of integrative Agriculture, 12 (7): 1292-1299. 30. Svarstad, H., Peterson, L.K., Rothman, D., Siepel, H. and Watzold, F., 2008. "Discursive biases of the environmental research framework DPSIR", Land use policy 25, pp: 116-125. 31. Tscherning, K., Helming, K., Krippner, B., Sieber, S. and Palomab, S.G., 2012. "Does research applying the DPSIR framework support decision making?", Land Use Policy 29, pp. 102– 110.