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واکاوی پیوند روزهای برفپوشان با ارتفاع، شیب و وجه شیب در ایران زمین | ||
| پژوهش های جغرافیای طبیعی | ||
| مقاله 2، دوره 48، شماره 1، فروردین 1395، صفحه 1-14 اصل مقاله (1.35 M) | ||
| نوع مقاله: مقاله کامل | ||
| شناسه دیجیتال (DOI): 10.22059/jphgr.2016.57024 | ||
| نویسندگان | ||
| محمد صادق کیخسروی کیانی1؛ سید ابوالفضل مسعودیان* 2 | ||
| 1دانشجوی دکتری آب و هواشناسی دانشگاه اصفهان | ||
| 2استاد آب و هواشناسی دانشگاه اصفهان | ||
| چکیده | ||
| در پژوهش کنونی برای بررسی پیوند بین روزهای برفپوشان با ارتفاع، شیب و وجه شیب از دادههای دو فرآوردۀ دورسنجی مودیس تررا و مودیس آکوا برای بازۀ زمانی 1393-1382 بهره گرفته شد. تفکیک مکانی دادههای به‌کاررفته در این پژوهش 500 است. همچنین دادههای مدل رقومی ارتفاع ایران (DEM) در تفکیک مکانی 500 متر و با سیستم تصویر سینوسی هماهنگ با تفکیک و سیستم تصویر دادههای مودیس تررا و مودیس آکوا از تارنمای سازمان فضایی ناسا برداشت شد. در دادههای مدل رقومی ارتفاع (DEM) به‌کاررفته افزون‌بر ارتفاع نقاط، اطلاعات شیب و وجه شیب برای هر یاخته نیز در دسترس است. در این پژوهش نخست میانگین روزهای برفپوشان (روزی که زمین پوشیده از برف است) ایران برای بازۀ زمانی 1393-1382 محاسبه شد و سپس با کدنویسی در نرمافزار متلب برای هر طبقۀ ارتفاعی از ارتفاع 29- تا 5476 متری در گامهای یک‌متری میانگین روزهای برفپوشان همان ارتفاع محاسبه شد. پس از محاسبۀ شمار روزهای برف برای هر طبقۀ ارتفاعی، پیوند روزهای برفپوشان با ارتفاع، شیب و وجه شیب بررسی شد. یافتهها نشان داد ارتباط بین روزهای برفپوشان با ارتفاع لزوماً رابطۀ خطی نیست و در گروههای ارتفاعی رفتاری متفاوت را از خود نشان میدهد. | ||
| کلیدواژه‌ها | ||
| ایران؛ سنجندۀ مودیس تررا؛ روزهای برفپوشان؛ سنجندۀ مودیس آکوا | ||
| عنوان مقاله [English] | ||
| Exploring the Relation of Snow-Covered Days with Elevation, Slope and Aspect in Iran | ||
| نویسندگان [English] | ||
| Mohammad Sadegh Keikhosrvai Kiany1؛ Seyed Abolfazl Masoudian2 | ||
| 1PhD Student of Climatology, University of Esfahan, Iran | ||
| 2Professor of Climatology, University of Esfahan, Iran | ||
| چکیده [English] | ||
| Introduction Snow is a kind of precipitation that is formed by the condensation of moist air mass and in the condition that temperature is below freezing point. Although small areas of the world are mountainous regions, these small territories play an important role in the hydrological context of river basins. In some areas snow covers and glaciers supply drinking water. Monitoring and forecasting of snow cover areas are essential for the promotion of climatic predictions and water-related decisions, particularly in mountainous regions where a great proportion of needed water is provided. Some works have been conducted about the influence of elevation, slope and aspect on the distribution of snow-covered days. In this part, some of these works have been reviewed here. Endrizzi et al. (2006) have indicated that there is a relation between snow water balance, elevation and aspect. They found that the dependence of snow water balance on elevation is poor in fall and strong in the spring. Gurung et al. (2011) have indicated that in Bhutan the accumulation of snow is varied based on aspect. North-east and north-west facing slopes are favored areas for snow accumulation in the seasons of winter, summer and fall. Materials and Methods In the present paper, MODIS Terra and MODIS Aqua data were used to explore the relation of snow-covered days with elevation, slope and aspect. The selected study period covers the years from 2003 to 2014. As MODIS Aqua data are missing before the year 2003, we had to limit the study period only to the aforementioned years. The data of these products were downloaded in daily time scale. Before the analysis of the data, we applied two different algorithms to minimize cloud contamination that is a big hindrance against snow cover monitoring. One of the applied algorithms is based on three days filtering and the second is made on the combination of the two products. By exploiting these algorithms, we managed to reduce cloud cover considerably. In the second step, we started analysis of the data by creating different codes in MATLAB. As the spatial resolution of the data was in 500 meters, we needed a Digital Elevation Model to be consistent with snow data both in spatial resolution and projection system. Therefore, a DEM with these conditions was obtained from NASA. In the applied Digital Elevation Model, the information of aspect and slope for each of the grids was available. In the next step, we developed some codes in MATLAB to explore the relation between elevation, aspect and slope. Results and Discussion The considered relation between the number of snow-covered days and elevation indicated that there are three patterns in this way. Up to the elevation of 700 meters the number of snow-covered days does not increase by the increase of elevations. In the elevations between 700-1700, the number of snow-covered days shows a gradual increase, but in the elevations between 1700-3200 the number of snow-covered days experiences a significant increase by the changes in the elevations. Above the elevation of 3200 meters, the behavior of snow-covered days does not show a clear pattern. Thus, it can be concluded that the number of snow-covered days does not show a linear pattern. The analysis of slope indicated that the snow-covered is the most frequent in the slope of 25 degree. Above this slope the snow-covered days become less frequent. The analysis of aspect indicated that the numbers of snow-covered days are observed frequently in the north facing slopes and less frequent in the south and south-west facing slopes. In another part of this paper, the profile of snow-covered days and other parameters like aspect and elevation was investigated over three mountains of Sahand, Karkas and Lalezar. The obtained results confirmed that in the east and north facing slopes the number of snow-covered days is more frequent than their western and southern counterparts. Conclusion In this study, MODIS Terra and MODIS Aqua data were exploited in order to investigate the relation between snow-covered days with elevation, slope and aspect. The study period of the present study is ranged from 2003 to 2014. Before using the daily raw data, two fundamental algorithms were performed on the initial data to minimize cloud cover. After reducing cloud cover in the raw data, we started analysis by creating some codes in MATLAB. The obtained results indicate that in Iran the relation between snow-covered days and elevation does not depict a linear relation and in each of the elevation zones the behaviors are completely different. The most important direction of snow-covered days and elevation was seen in the elevations between 1700 to 3200 meters. The analysis of aspect show that north facing slopes has a good potential to be snow covered during the year. The analysis of slope indicated that in slope of 25 degree, the numbers of snow-covered days are the most frequent in comparison with the other slopes. Therefore, the slope of 25 degree is, indeed, the critical slope in this country. | ||
| کلیدواژه‌ها [English] | ||
| aspect, Elevation, Iran, MODIS Aqua, MODIS Terra, slope, snow-covered days | ||
| مراجع | ||
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