Geography and Human Relationships

Geography and Human Relationships

Investigating the Relationship between Geomorphic Factors and Soil Moisture in Shafaroud Watershed, Gilan Province

Document Type : Original Article

Author
Physical Geography university of Mohaghegh ardabili
Abstract
The purpose of this research work is to investigate the role of factors involved in the soil moisture content of Shafaroud catchment area. For this reason, in the Google Earth Engine programming environment, by calling satellite data, land use maps were drawn for the 4 main classes of the mentioned basin, then the state of vegetation cover (NDVI), average temperature, evaporation and precipitation were checked and finally the soil moisture map was drawn. The results showed that the eastern half of the mentioned basin had different conditions compared to its western one, so that in the eastern half of the studied basin, most of the areas are covered by forest areas with 239 square kilometers, and towards the west of the basin, its density has decreased. This situation is also true for the vegetation cover. and the maximum diversity of vegetation was observed in the eastern half of the basin and its central areas at the rate of 0.55. All these factors have caused the soil moisture to increase in the eastern half and especially in the northeast of the mentioned basin and its value reaches 18.12 mm, on the contrary, in the western half of the basin and its northwest, the minimum soil moisture was observed as 12.62 mm. It should be noted that all factors showed a direct relationship with soil moisture, and among the mentioned factors, water vapor with an explanation coefficient of R2, 0.48, precipitation 0.41, temperature 0.22, and vegetation 0.11% have the highest role. in soil moisture.
Keywords

Subjects


  • پرویزی، ی.، نوروزی، ع. ا.، میری، م. 1401. پایش و تعیین همروندی تغییرات رطوبت خاک با پدیده خشکیدگی جنگل‌های بلوط استان کرمانشاه، پنجمین کنفرانس ملی حفاظت خاک و آبخیزداری مخاطرات، حفاظت، احیا و بهره برداری پایدار حوزه‌حوزه‌های آبخیز با نگاه ویژه به منابع و اراضی رودخانه‌ای و ساحلی، تهران، پژوهشکده حفاظت خاک و آبخیزداری، 27 و 28 اردیبهشت.
  • امامی‌فر، س.، داوری، ک.، انصاری، ح.، قهرمان، ب.، حسینی، س. م.، ناصری، م. 1395. تخمین خصوصیات رطوبتی خاک در مقیاس حوضه آبخیز، به عنوان متغیرهای ورودی مدل‌سازی هیدرولوژیکی با استفاده از نقشه‌های کوچک مقیاس خاک‌شناسی، مهندسی آبیاری و آب، 6(23): 64-49.
  • ولی‌نژاد، ف.، قربانی، خ.، ذاکری‌نیا، م.، دهقانی، ا.، آبابایی، ب. 1392. ارزیابی عملکرد مدل SWAT در برآورد رطوبت خاک (مطالعه موردی: حوضه آبخیز نومل)، آب و توسعه پایدار، 1(1): 64-57.
  • جوادی، پ.، اسدی، ح.، وظیفه دوست، م. 1400. برآورد تغییرات مکانی رطوبت خاک با بهره‌گیری از روش جنگل تصادفی و ویژگی‌های محیطی حاصل از تصاویر ماهواره‌ای در حوضه مرغاب خوزستان، تحقیقات آب و خاک ایران، 52(10): 2874-2859.
  • شهماری اردجانی، ر. 1388. معرفی پتانسیل‌های حوضه شفارود گیلان جهت توسعه اکوتوریسم، فصل‌نامه چشم‌انداز جغرافیایی، 4(8): 147-123.
  • لطفعلی‌زاده لاهرودی، ع. 1402. بررسی روند تغییرات کاربری اراضی با استفاده از تصاویر ماهواره‌ای لندست، جغرافیا و روابط انسانی، 6(2): 66-52.

 

  • Das, N. N., Entekhabi, D., Dunbar, R. S., Colliander, A., Chen, F., Crow, W. & Cosh, M. H. 2018. The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions. Remote Sensing of Environment, 211, 204-217.
  • Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabater, J., de Rosnay, P., Isaksen, L., and Wagner, W. 2013. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment, 138, 77-89.
  • Ahmed, A., Zhang, Y., & Nichols, S. (2011). Review and evaluation of remote sensing methods for soilmoisture estimation. SPIE reviews, 2(1), 028001.
  • Zhang, J., Zhou, L., Ma, R., Jia, Y., Yang, F., Zhou, H., & Cao, X. (2019). Influence of soil moisture content and soil and water conservation measures on time to runoff initiation under different rainfall intensities. CATENA, 182, 104172.
  • Szabó, B., Szatmári, G., Takács, K., Laborczi, A., Makó, A., Rajkai, K., & Pásztor, L. (2019). Mapping soil hydraulic properties using randomforest-based pedotransfer functions and geostatistics. Hydrology and Earth System Sciences, 23(6), 2615-2635.
  • Fathololoumi, S., Vaezi, A. R., Alavipanah, S. K., Ghorbani, A., Saurette, D., & Biswas, A. (2021). Effect of multi-temporal satellite images on soil moisture prediction using a digital soil mapping approach. Geoderma, 385, 114901.
  • Escorihuela, M. J., & Quintana-Seguí, P. (2016). Comparison of remote sensing and simulated soil moisture datasets in Mediterranean landscapes. Remote sensing of environment, 180, 99-114.
  • Santi, E., Paloscia, S., Pettinato, S., Brocca, L., Ciabatta, L., & Entekhabi, D. (2018). Integration of microwave data from SMAP and AMSR2 for soil moisture monitoring in Italy. Remote Sensing of Environment, 212, 21-30.
  • Khellouk, R., Barakat, A., Boudhar, A., Hadria, R., Lionboui, H., El Jazouli, A., & Benabdelouahab, T. 2020. Spatiotemporal monitoring of surface soil moisture using optical remote sensing data: a case study in a semi-arid area. Journal of Spatial Science, 65(3), 481-499.
  • Zaman, M. R., Morid, S., Delavar, M. 2016. Evaluating climate adaptation strategies on agricultural production in the Siminehrud catchment and inflow into Lake Urmia, Iran using SWAT within an OECD framework. Agricultural Systems, 147, 98-110.
Volume 7, Issue 2 - Serial Number 26
Autumn 2024
Pages 179-192

  • Receive Date 31 January 2024
  • Revise Date 28 October 2024
  • Accept Date 17 March 2024