Variations of LST frequency Distribution as an Indicator of Environmental Changes, Case Study Zayabderood and Urmia basins

Masoodian, S.Abolfazl

doi:10.22111/jneh.2019.28272.1485

Variations of LST frequency Distribution as an Indicator of Environmental Changes, Case Study Zayabderood and Urmia basins

Document Type : Review Article

Author

S.Abolfazl Masoodian

Professor of Climatology, Department of Physical Geography, University of Isfahan, Isfahan, Iran

10.22111/jneh.2019.28272.1485

Abstract

Anthropogenic environmental changes can have serious consequences. Environmental changes affect the frequency distribution of the land surface temperature (LST) due to changes in the thermal properties of the land surface. Temperature changes, in turn, trigger a series of changes in various aspects of the environment. Such changes in Iran that suffer from a hot and dry climate may be matter of life and death. Analysis of 15 years of MODIS/Aqua LST data (2003-2017) shows that man-made land-use changes affect the frequency distribution of LST in some parts of Iran. Construction of dams has been altered the hydrologic cycle in many watersheds of the country. Overconsumption of groundwater resources, urbanization, and deforestation have affected the tempo-spatial behavior of LST in Iran during the past half-century. As a result, there is a huge imbalance between natural resources and expectations of society. Ecological footprints are beyond the capability of natural resources of the country. So there is an urgent need for abrupt changes in lifestyle and reducing the ecological footprints. Natural climatic changes along with these anthropogenic environmental changes would pose a serious threat to the survival of many metropolitans of Iran with several thousand years of history. Many civilization centers of the country survived severe droughts, but this time the changes are too fast.

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References

References (in Persian)

Hoseiniabari, S. H. (1998), Traditional Water Management in Zayanderood: On Traditional Knowledge, Journal of LHS, No. 15, pp. 101-120

Isfahan Regional Water Agency (2018), Data Processing Center, IRWA.

Masoodian, S. A. (2019), An Analysis of Frequency Distribution of LST in Iran, Unpublished, pp. 1-10.

Montazeri, M., Masoodian, S. A. (2018), Tempo-spatial behavior of Surface Urban Heat Island of Isfahan Metropolitan Area, Technical report to Isfahan Municipality, pp. 1-70.

References (in English)

Imhoff, M. L., Zhang, P., Wolfe, R. E., & Bounoua, L. (2010). Remote sensing of the urban heat island effect across biomes in the continental USA. Remote Sensing of Environment, 114(3), pp. 504-513.

Jin, M., Dickinson, R. E., & Zhang, D. A. (2005), The footprint of urban areas on global climate as characterized by MODIS. Journal of climate, 18(10), pp. 1551-1565.

Lowry, W. P. (1977), Empirical estimation of urban effects on climate: a problem analysis. Journal of Applied Meteorology, 16(2), pp. 129-135.

Schwarz, N., Lautenbach, S., & Seppelt, R. (2011), Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures. Remote Sensing of Environment, 115(12), 3175-3186.

Strabo (1917), The Geography of Strabo, Translated by Jones, H.L., William Heinemann London, pp. 1-589

Wang, K., Wang, J., Wang, P., Sparrow, M., Yang, J., & Chen, H. (2007), Influences of urbanization on surface characteristics as derived from the Moderate‐Resolution Imaging Spectroradiometer: A case study for the Beijing metropolitan area. Journal of Geophysical Research: Atmospheres, 112(D22).

Zhang, N., & Chen, Y. (2014), A case study of the upwind urbanization influence on the urban heat island effects along the Suzhou–Wuxi corridor. Journal of Applied Meteorology and Climatology, 53(2), 333-345.