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Early-Warning System for Desertification Based on Climatic and Hydrologic Criteria | ||
| Desert | ||
| دوره 24، شماره 2، اسفند 2019، صفحه 183-195 اصل مقاله (872.02 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jdesert.2019.76359 | ||
| نویسندگان | ||
| R. Masoudi* 1؛ Gh. Zehtabian1؛ F. Jafary2؛ A. Loáiciga3 | ||
| 1Dept. of Arid and Mountainous Reclamation Regions, Faculty of Natural Resources, Univ. of Tehran, Karaj, Iran | ||
| 2School of Geography, Earth and Environmental Sciences, University of Birmingham, United Kingdom | ||
| 3Dept. of Geography, University of California, Santa Barbara, CA, USA | ||
| چکیده | ||
| The United Nations’ convention on desertification encourages the participating countries to introduce criteria for developing Early-Warning Systems (EWS) in order to monitor and assess desertification. The objective of the present study was to establish an EWS for desertification assessment in Kashan plain, Iran, using the methodology of practical and general applicability. Designing EWS requires a model to identify the influential criteria and areas vulnerable to desertification. The Kashan Plain’s EWS relies on the Iranian Model for Desertification Potential Assessment (IMDPA) to establish desertification thresholds and generate desertification maps with Geographic Information Systems (GIS). The EWS of Kashan plain was designed to calculate hydrologic (groundwater level and electric conductivity of groundwater indices) and climatic (precipitation, Transeau aridity, and drought indices) criteria and assess the degree of regional desertification. Afterwards, the desertification intensity maps of criteria and indices were produced and overlapped. The EWS was developed in areas most bound to be threatened by desertification. EWS quantifies desertification data and thresholds to issue desertification assessments and warnings for management purposes. In the next step, Client–Server program was designed based on an algorithm defined by Java programming language and implemented as a data collection, analysis, and response management system. Whenever the thresholds exceed the defined limits, warning messages can be sent via SMS or internet to relevant system managers for appropriate action. | ||
| کلیدواژهها | ||
| Desertification؛ Drought؛ Early-Warning System؛ Groundwater؛ Precipitation؛ GIS | ||
| مراجع | ||
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Ahmadi, H., 2004. Iranian model of desertification potential assessment. Faculty of Natural Resources, University of Tehran, Tehran, Iran. Abdi, J., 2007. Assessment and mapping of desertification condition using the IMDPA model with emphasis on water and soil, (case study: Abuzeidabad). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. Akeh, L. E., N. Nnoli, S. Gbuyiro, F. Ikehua, S. Ogunbo, 2000. Meteorological early warning systems (EWS) for drought preparedness and drought Management in Nigeria. Proceedings of an Expert Group Meeting, Lisbon, Portugal. pp. 154-168. Boken, V. K., 2009. Improving a drought early warning model for an arid region using a soil-moisture index. Journal of Applied Geography, 29; 402–408. De Martonne, E., 1926. Aréisme et indice de aridité. Comptes Rendues de la Académie de Sciences de France, 182(23); 1395-1396. DePauw, E., 2000. Drought early warning Systems in west Asia and North Africa, early warning systems for drought preparedness and drought management. Proceedings of an expert group meeting, Lisbon, Portugal .pp. 65-85. Han, Y., Z. Liu, X. Yu, J. Wang, 2017. Desertification monitoring and early warning in context of sandy land consolidation. Transactions of the Chinese Society of Agricultural Engineering, 33(10); 271-277(7). Hou, D., X. Song, G. Zhang, H. Zhang, H.A. Loáiciga, 2013. An early-warning and control system for urban, drinking, water quality protection: China’s experience. Environmental Science and Pollution Research, 20(7); 4496-4508. Kamali, M. A., 2011. Study of desertification status using IMDPA model with emphasis on water, soil and vegetation criteria (case study: Fryab- Kerman province). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. Khosravi, H., G. Zehtabian, H. Ahmadi, H. Azarnivand, 2014. Hazard assessment of desertification as a result of soil and water recourse degradation in Kashan Region, Iran. Desert, 19(1), 45-55. Khosravi, H., E. Haydari, S. Shekoohizadegan, S. Zareie, 2017. Assessment the Effect of Drought on Vegetation in Desert Area using Landsat Data, The Egyptian Journal of Remote Sensing and Space Science, 20; S3- S12. Masoudi, R., 2011. Desertification early warning system based on climate and water factors (case study: Kashan). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. McKee, T. B., N. J. Doesken, J. Kleist, 1993. The relationship of drought frequency and duration of time scales. Eighth Conference on Applied Climatology, American Meteorological Society, Anaheim, California. pp. 179-186. Mesbahzade, T., 2007. Evaluation and mapping of desertification condition using the IMDPA model with emphasis on Land criteria, (case study: Abuzeidabad). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. Meng, X., Q. Liu, H. Wang, 2018. Application of intelligent forewarning system for desertification in China. Journal of Intelligent & Fuzzy Systems, 35(3);2721-2730. Mortimore, M., B. Turner, 2005. Does the Sahelian smallholder's management of woodland, farm trees, rangeland support the hypothesis of human-induced desertification? Journal of Arid Environments, 63; 567-595. Rafiee S.A., J., 2012. Assessment and monitoring of desertification on climate & water factors (case study: Yazd- Ardakan Plain). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. Steila, D., 1983. Quantitative vs. qualitative drought assessment. The Professional Geographer, 35; 192- 194. Sheffield J., E.F. Wood, 2011. Drought: Past Problems and Future Scenarios. First published, Earth- scan, London and Washington DC. Singh, R.B., Ajai, 2015. Early warning of desertification. Frontier of Earth Science, scientific publisher(India), 325-333. Stocking, M., N. Murnaghan, 2001. Handbook for the field assessment of land degradation. Earth- scan, London. Masoudi et al. / Desert 24-2 (2019) 183-195 195 Thornthwaite, C.W., 1948. An approach toward a rational classification of climate. Geographical Review, 38(1); 55-94. Transeau, E.N., 1905. Forest Centers of Eastern America. American Naturalist, 39; 875-889. UNCCD. 2005. Early warning systems: pilot studies on early warning systems. ICCD/COP (7)/CST/7, Nairobi, pp. 15. UNCCD. 2007. Report of the 5th meeting of the Group of Experts of the Committee on Science and Technology- Guidelines for early warning system. ICCD/COP/8/CST/2, Madrid, pp.13. Van Loon, A. F., 2015. Hydrological drought explained. Wiley Interdisciplinary Reviews: Water, 2; 359-392. Vesali. A., 2008. Biophysics indices of desertification intensity affected by human activities (study area: Kashan, Aran and Bidgol). M.Sc. thesis, Arid and Mountainous Regions Reclamation Dept., Faculty of Natural Resources, University of Tehran, Tehran, Iran. Water Balance Framework. 1999. Ministry of Ingenerated Water and Energy Resources Studies, Iran. World Meteorological Organization. 2012. Standardized Precipitation Index User Guide, Geneva, Switzerland. | ||
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