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شناسایی و کمیسازی سهم منابع رسوبهای ساحلی برای مهارکردن فرسایش بادی در آبخیز جگین، استان هرمزگان | ||
| پژوهش های آبخیزداری | ||
| مقاله 3، دوره 32، شماره 1 - شماره پیاپی 122، فروردین 1398، صفحه 3-18 اصل مقاله (1.25 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2019.123109.1142 | ||
| نویسندگان | ||
| ابراهیم جعفری تختی نژاد1؛ حمید غلامی* 2؛ آدریان کولینز3؛ ابوالحسن فتح ابادی4 | ||
| 1دانشجوی دکتری، گروه مهندسی منابع طبیعی، دانشکدهی کشاورزی و منابع طبیعی، دانشگاه هرمزگان، بندرعباس، هرمزگان، ایران | ||
| 2استادیار گروه مهندسی منابع طبیعی، دانشکدهی کشاورزی و منابع طبیعی، دانشگاه هرمزگان، بندرعباس، هرمزگان، ایران | ||
| 3استاد گروه علوم کشاورزی پایدار، مرکز تحقیقات رُتامستِد، انگلستان | ||
| 4استادیار گروه مهندسی مرتع و آبخیزداری، دانشگاه گنبد، گنبد کاووس، گلستان، ایران | ||
| چکیده | ||
| هدف از این پژوهش، شناسایی و کمیسازی سهم منابع تپههای ماسهیی ساحلی در خروجی آبخیز جگین، شرق جاسک، در استان هرمزگان با استفاده از روش انگشتنگاری رسوب است. بیست نمونهی رسوب از رسوبهای ساحلی و 62 نمونه از منابع بالقوهی رسوبهای ساحلی در بالادست برداشت شد و 49 عنصر ژئوشیمیایی بهعنوان ردیاب در نمونههای منبع و رسوب با ICP-OES اندازهگیری شد. سپس، یک فرآیند آماری سه مرحلهیی شامل آزمون دامنه، کروسکال-والیس و تحلیل تشخیص گامبهگام برای انتخاب کردن ردیابهای بهینه در تفکیک منابع رسوب بهکارگرفته شد. هفت عنصر Cu، Th، Be، Al، La، Mg و Fe ردیاب بهینه شناخته شد. میانگین سهم محاسبهشده با مدل ترکیبی برای چهار منبع شامل رسوبهای دورهی کواترنر، دور الیگوسن-میوسن، میوسن و پالئوسن بهترتیب 5، 5، 10 و 80% محاسبه شد. بنابراین، برای مهار کردن فرسایش بادی در بیابانهای ساحلی بهویژه منطقهی مکران، توجه به آبخیزهای مشرف بالادست ساحل ضروری است و باید محلهای مولد رسوب را در این مناطق شناسایی و تثبیت کرد. بهطورکلی در این پژوهش، رسوبهای پالئوسن (شامل ماسهسنگ چندآمیزهیی، سیلتسنگ، گلسنگ و مقدار کمی جوشسنگ) منبع غالب برای 16 نمونهی رسوب شناسایی شد. بنابراین فعالیتهای مدیریتی برای مهار کردن فرسایش آبی در بالادست و کاهش اثرهای فرسایش بادی در پاییندست باید در این منبع متمرکز شود. | ||
| کلیدواژهها | ||
| آبخیز جگین؛ انگشت نگاری؛ ردیاب بهینه؛ ماسه های ساحلی؛ منابع رسوب | ||
| عنوان مقاله [English] | ||
| Identifying and Quantifying the Terrestrial Sediment Source Contributions to Coastal Dunes for Targeting Wind Erosion Mitigation in Jagin watershed, Hormozgan Province, Iran | ||
| نویسندگان [English] | ||
| Ebrahim Jafari Takhtinajad1؛ Hamid Gholami2؛ Adrian Collins3؛ Abolhassan Fathabadi4 | ||
| 1Ph.D., Student, Department of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Hormozgan, Iran | ||
| 2Assistant Professor, Department of Natural Resources Engineering, University of Hormozgan, Bandar-Abbas, Hormozgan, Iran | ||
| 3Full Professor, Department of Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, EX20, 2SB, U.K. | ||
| 4Assistant Professor, Department of Range and Watershed Management, University of Gonbad-e-Kavoos, Gonbad-e-Kavoos, Golestan, Iran | ||
| چکیده [English] | ||
| A sediment fingerprinting method was applied to identify and quantify terrestrial sediment source contributions to coastal sand dunes at the outlet of the Jagin watershed, east of Jask, the Province of Hormozgan. Sampling comprised of 20 sediment samples from coastal sands and 62 samples from potential upstream terrestrial sources. Concentration of 49 geochemical elements in the sediment and source samples were measured using the ICP-OES technique. A three-stage statistical procedure was used to identify final composite fingerprints for source discrimination, and this comprised of a range test for tracer conservation, the Kruskal-Wallis H-test for confirming the discriminatory efficacy of the individual properties and the stepwise discriminant function analysis (DFA) for selecting a tracer shortlist (i.e., composite signature). The final composite fingerprint selected by the stepwise DFA comprised of Cu, Th, Be, Al, La, Mg and Fe. Using this signature, the overall average mean relative contributions from the Quaternary, Oligocene-Miocene, Miocene and Paleocene geological units were estimated at 5%, 5%, 10% and 80%, respectively. The Paleocene geological unit was identified as the dominant spatial source for 16 of the 20 sediment samples. Therefore, wind erosion control for the benefit of coastal deserts, and especially the Makran region, needs to target upstream watersheds with the Paleocene outcrops. Overall, Paleocene age deposits (including multi-ophiolite sandstone, siltstone, mudstone, and minor conglomerate) was recognized as the main source for 16 sediment samples. Therefore, for controling water erosion in upstream and mitigating effects of wind erosion in downstream, management activities must focus on this source. | ||
| کلیدواژهها [English] | ||
| Coastal sands, composite fingerprint, fingerprinting, Jagin Watershed, sediment sources | ||
| مراجع | ||
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Akbariyan M, Biniaz M. 2011. Evaluation of plant species used in wind erosion control (case study: Jask city, Homozgan province). Environmental Erosion Researches. 2: 29–42. Barthod LRM, Liu K, Lobb DA, Owens PN, Martinez-Carreras N, Koiter AJ, Petticrew EL, McCullough GK, Liu C, Gaspar L. 2015. Selecting color-based tracers and classifying sediment sources in the assessment of sediment dynamics using sediment source fingerprinting. Journal of Environmental Quality. 44: 1605–1616. Castro JWA, Malta JV, Miguel LLAJ, Cabral CL, Passemilio AB. 2017. Chronological reconstruction of eolianites and transversal mobile dunes of northwest coast of Ceará State – Brazil, in the last 3000 cal yrs BP. Aeolian Research. 28: 51–57. Carranza-Edwards A, Kasper-Zubillaga JJ, Martinez-Serrano RG, Cabrera-Ramirez M, Hoz LR, Mendieta MAA, Marquez-Garcia AZ, Cruz RLS. 2018. Provenance inferred through modern beach sands from the Gulf of Tehuantepec, Mexico. Geological Journal. 54(1):1–12. Chen F, Fang N, Shi Z. 2016. Using biomarkers as fi ngerprint properties to identify sediment sources in a small catchment. Science of the Total Environment, 557-558: 123–133. Collins AL, Walling DE, Leeks GJL. 1997. Fingerprinting the origin of fluvial suspended sediment in larger river basins: combining assessment of spatial provenance and source type. Geografiska Annaler. 79: 239–254. Collins AL, Walling DE. 2002. Selecting fingerprint properties for discriminating potential suspended sediment sources in river basins. Journal of Hydrology. 261: 218–244. Collins AL, Walling DE. 2004. Documenting catchment suspended sediment sources: problems, approaches and prospects. Progress in Physical Geography: Earth and Environment. 28: 159–196. Collins AL, Walling DE, Stroud RW, Robson M, Peet LM. 2010. Assessing damaged road verges as a suspended sediment source in the Hampshire Avon Catchment, southern United Kingdom. Hydrological Processes. 24 (9): 1106–1122. Dolat Kurdestani M, Gholami H, Ahmadi J, Walling D, Fathabadi A. 2018a. Apportionment sources of sand dune sediment using two mixing models used to sediment fingerprinting (Case study: Jazmurian region, south of Kerman province). Journal of Quantitative Geomorphological Researches. 6(3): 1–14. (In Persian). Dolat Kurdestani M, Gholami H, Ahmadi J, Walling D. Fathabadi, A. 2018b. Quantifying source contributions of Aeolian sediments using a Monte Carlo-fingerprinting framework (Case Study: Jazmurian sand dunes, South of Kerman province). Journal of Earth Science Researches. 9(33): 14–29. (In Persian). Du S, Wu Y, Tan L. 2018. Geochemical evidence for the provenance of aeolian deposits in the Qaidam Basin, Tibetan Plateau. Aeolian Research. 32: 60–70. Eberl DD. 2004. Quantitative mineralogy of the Yukon River system: changes with reach and season, and determining sediment provenance. American Mineralogist. 89: 1784–1794. Ekhtesasi MR. 1995. Provenancing of sand dunes in the Yazd-Ardekan. Research Institute of Forests and Rangelands. 308 p. Everard M, Jones L, Watts B. 2010. Have we neglected the societal importance of sand dunes? An ecosystem services perspective. Aquat. Conserv: Marine Freshwater Ecosyst. 20: 476–487. Geological Survey and Mineral Exploration of Iran. Unknown date. Geological Map of Iran. Gholami H, Feiznia S, Ahmadi J, Ahmadi H, Nazari Samani AA, Nohegar A. 2015a. The contribution of different Geomorphologic Facies in sand dunes sediments supply using sediments tracing (case study: Ashkzar sand dunes). Desert Management. 4: 31–42. (In Persian). Gholami H, Mehrdadi MR, Fathababdi A. 2018. Quantify uncertainty associate with source contribution of Aeolian sediments using Fingerprinting-GLUE approach. 4th National Conference on Wind Erosion and Dust Storms, Iran, Yazd, 7-8 March. (In Persian). Gholami H, Middleton N, NazariSamani AA, Wasson R. 2017a. Determining contribution of sand dune potential sources using radionuclides, trace and major elements in central Iran. Arabian Journal of Geoscience. 10(163): 1–9. Gholami H, Taheri Moghadam E, Najafi Ghiri M, Mahdavi R. 2015b. Determination of land uses contribution to production of sand dune sediments using fingerprinting approach (Case study: Negar Erg, Bardsir, Kerman province). Quarterly Journal of Environmental Erosion Research. 5:2(18): 46–54. (In Persian). Gholami H, Telfer MW, Blake WH, Fathabadi A. 2017. Aeolian sediment fingerprinting using a Bayesian mixing model. Earth Surf. Process. Landforms. 42: 2365–2376. Hamadn MA, Refaat AA, Anwar EA, Shallaly NA. 2015. Source of the aeolian dune sand of Toshka area, southeastern Western Desert, Egypt. Aeolian Research. 17: 275–289. Koiter AJ, Owens PN, Petticrew EL, Lobb DA. 2018. Assessment of particle size and organic matter correction factors in sediment source fingerprinting investigations: An example of two contrasting watersheds in Canada. Geoderma. 325: 195–207. Liu BL, Niu QH, Qu JJ, Zu RP. 2016. Quantifying the provenance of aeolian sediments using multiple composite fingerprints. Aeolian Research. 22: 117–122. Martínez-Carreras N, Udelhoven T, Krein A, Gallart F, Iffly JF, Ziebel J, Walling DE. 2010. The use of sediment colour measured by diffuse reflectance spectrometry to determine sediment sources: Application to the Attert River Catchment (Luxembourg). Journal of Hydrology. 382 (1–4): 49–63. Nosrati K, Govers G, Ahmadi H, Sharifi F, Amoozegar MA, Merckx R, Vanmaercke M. 2011. An exploratory study on the use of enzyme activities as sediment tracers: biochemical fingerprints? International Journal of Sediment Research. 26: 136–151. Nosrati K, Collins AL, Madankan M. 2018. Fingerprinting sub-basin spatial sediment sources using different Pease PP, Tchakerian VP. 2002. Composition and source of sand in the Wahiba sand sea, Sultanate of Oman. Annals of the Association of American Geographers. 92(3): 416–434. Perg LA, Anderson RS, Finkel RC. 2003. Use of cosmogenic radionuclides as a sediment tracer in the Santa Cruz littoral cell, California, United States. Geology. 31: 299–302. Peterson CD, Murillo-Jimenez JM, Stock E, Price DM, Hosteler SW, Percy D. 2017. Origins of late- Pleistocene coastal dune sheets, Magdalena and Guerrero Negro, from continental shelf low-stand supply (70–20 ka), under conditions of southeast littoral- and eolian-sand transport, in Baja California Sur, Mexico. Aeolian Research. 28: 13–28. Pulley S, Collins AL. 2018. Tracing catchment fine sediment sources using the new SIFT (SedIment Fingerprinting Tool) open source software. Science of the Total Environment. 635: 838–858. Rao W, Tan H, Jiang S, Chen J. 2011. Trace element and REE geochemistry of fine- and coarse-grained sands in the Ruessink BG, Arens SM, Kuipers M, Donker JJA. 2017. Coastal dune dynamics in response to excavated foredune notches. Aeolian Research. in press. Shayan S, Akbarian M, Yamani M, Sharifikia M, Maghsoudi M. 2014. Analysis of sand dune masses morphogenetic in Makran coastal plain. Environmental Erosion Researches. 13: 62–78. Smith HG, Blake WH. 2014. Sediment fingerprinting in agricultural catchments: A critical re-examination of source discrimination and data corrections. Geomorphology. 204: 177–191. Stone M, Collins AL, Silins U, Emelko MB, Zhang YS. 2014. The use of composite fingerprints to quantify sediment sources in a wildfire impacted landscape, Alberta, Canada. Science of the Total Environment. 473–474: 642–650. Tiecher T, Minella JPG, Evrard O, Caner L, Merten GH, Capoane V, Didone EJ, Dos Santos DR. 2018. Fingerprinting sediment sources in a large agricultural catchment under no‐tillage in Southern Brazil (Conceição River). Land Degradation and Development. 29(4): 939–951. Walling DE. 2005. Tracing suspended sediment sources in catchments and river systems. Science of the Total Environment. 344 (1–3): 159–184. Walling DE. 2013. The evolution of sediment source fingerprinting investigations in fluvial systems. Journal of Soils and Sediments. 13 (10): 1658–1675. Weltje GJ, Prins MA. 2007. Genetically meaningful decomposition of grain-size distributions. Sediment Geology. 202: 409–424. Wilkinson SN, Hancock GJ, Bartley R, Hawdon AA, Keen RJ. 2013. Using sediment tracing to assess processes and spatial patterns of erosion in grazed rangelands, Burdekin River Basin, Australia. Agriculture, Ecosystems and Environment. 180: 90–102. Zhang J, Yang M, Zhang F, Zhang W, Zhao T, Li Y. 2017. Fingerpriitng sediment sources after an extreme rainstorm event in a small catchment on the Loess Platteau, PR China. Land Degradation and Development. 28: 2527–2539. | ||
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