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تاثیرات تغییر اقلیم بر پهنه بندی اقلیمی استان گلستان با روش دمارتن گسترش یافته | ||
تحقیقات آب و خاک ایران | ||
مقاله 10، دوره 47، شماره 2، مرداد 1395، صفحه 319-332 اصل مقاله (929.17 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2016.58337 | ||
نویسندگان | ||
خلیل قربانی* 1؛ مهرناز بذرافشان دریاسری2؛ مهدی مفتاح هلقی3؛ نوذر قهرمان4 | ||
1عضو هیأت علمی دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
2دانشآموخته گرایش کارشناسی ارشد مهندسی منابع آب | ||
3عضو هیأت علمی گروه مهندسی آب دانشگاه علوم کشاورزی و منابع طبیعی گرگان | ||
4عضو هیأت علمی گروه مهندسی آب دانشگاه تهران | ||
چکیده | ||
افزایش گازهای گلخانهای سبب شده تا آب و هوای کره زمین تحت تأثیر قرار گرفته و تغییراتی در پهنههای اقلیمی به وجود آورد. مطالعه حاضر با هدف بررسی این تغییرات در استان گلستان با تنوع اقلیمی زیاد، بر اساس شاخص طبقه بندی دمارتن گسترش یافته انجام شده است. بدین منظور از دادههای بارش سالانه 60 ایستگاه و نیز دمایحداکثر و حداقل روزانه 22 ایستگاه هواشناسی در سطح استان طی دورة آماری 1982-2010 به عنوان دادههای اقلیمی دورة پایه و مشاهداتی استفاده شد و نیز با استفاده از مولد دادهLARS-WG بر اساس خروجی مدل HADCM3، تحت سناریوهای مختلفA1B ,A2 وB1، دادههای بارش و دما طی دورههای 2011-2040، 2041-2070 و 2071-2100 تولید شدند. برای هر کدام از این سری دادهها، میانگین درازمدت بارش سالانه، میانگین درازمدت دمای سالانه و میانگین حداقلهای دما در سردترین ماه سال استخراج گردید و با آزمون کردن روشهای مختلف درونیابی، بهترین روش استخراج و مبنای انجام درونیابی قرار گرفت. با بکارگیری روش دمارتن گسترش یافته، پهنههای اقلیمی هر یک از سری دادهها به تفکیک ترسیم شدند. طبق نتایج حاصله، روش کریجینگ نسبت به دیگر روشها با خطای کمتری بارش را درونیابی میکند. از روش رگرسیون وزندار جغرافیایی نیز برای پهنهبندی دما استفاده شد. نتایج حاصل از این تحقیق نشان داد که تحت تأثیر پدیده تغییر اقلیم بارش و دما در استان گلستان افزایش مییابد اما مقدار آنها در دورههای مختلف متفاوت است بطوری که در دورههای آینده نزدیک (2040-2011) افزایش بارش بر دما برتری دارد و باعث مرطوبتر شدن اقلیمها می شود ولی در دوره اقلیم آینده دور (2100-2071) افزایش دما اثر بیشتری دارد و باعث گرم و خشکتر شدن اقلیمها میشود. از بین سناریوهای اقلیمی، سناریوی A2 شرایط به مراتب نامطلوبتری را برای استان گلستان تصویر نمود و بر اساس نتایج حاصله، اقلیم نیمهخشک گرم که تاکنون در استان وجود نداشته است در دوره اقلیمی آینده دور، این اقلیم در سناریوی A2برای 5 درصد مساحت استان پیشبینی میشود. | ||
کلیدواژهها | ||
LARS-WG؛ Hadcm3؛ دمارتن گسترش یافته؛ تغییر اقلیم؛ پهنهبندی اقلیمی | ||
عنوان مقاله [English] | ||
Oct, p: 636-646 . (In Farsi) The effects of climate change on DeMartone climatic classification in Golestan province | ||
نویسندگان [English] | ||
Khalil Ghorbani1؛ Mehrnaz Bazrafshan Daryasary2؛ Mehdi Meftah Halaghi3؛ Nozar Ghahreman4 | ||
1Faculty member | ||
چکیده [English] | ||
Increasing trend of greenhouse gasses in recent decades has affected weather and climatic zones across the globe. The aim of this study is to investigate the effect of climate change on climatic classes of Golestan province, Iran based on the extended de-Martone index. Rainfall data of 60 rain gauges and daily minimum/ maximum temperature data of 22 weather stations during period of 1982-2010 were used as baseline observations. Besides, HadCM3 model outputs were statistically downscaled using LARS-WG model under A1B ,A2 وB1scenarios to project rainfall and temperature data for three periods of 2011-2040,2041-2070 and 2071 to 2100.Generated time series of mean annual rainfall, mean temperature and minimum temperature of coldest month of the year were interpolated using Kriging method. Based on extended de-Martonne index, climatic zones were worked out and drawn using GIS tools. Results indicated that Kriging method interpolated rainfall data with less error comparing to other methods. According to the results both temperature and rainfall in the region would increase but the increase magnitude may vary in different periods, such that in near future (2011-20140) the rate of rainfall increase would be more than temperature which lead to more humid climates. This will be reverse during 2071-2100 in which drier years are expected. Among the chose scenarios, the A2 projects the worse conditions for the study region. Taking into account the temperature gradient, the Geographically Weighted Regression method is suitable for regionalization of temperature. Comparative examination of climatic zones of province under climate change scenarios showed that warm semi-arid climatic class which does not exist at present, would cover about 5 % of the province. in the last study period.i.e.2071-2100 under A2 scenario. | ||
کلیدواژهها [English] | ||
LARS-WG, Hadcm3, extended de-Martone, climate change, climatic zones | ||
مراجع | ||
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