Spatiotemporal dynamic of environmental indices of watershed sustainability in connection with land-use change

被引:6
|
作者
Mirchooli, Fahimeh [1 ]
Sadeghi, Seyed Hamidreza [1 ]
Darvishan, Abdulvahed Khaledi [1 ]
机构
[1] Tarbiat Modares Univ, Fac Nat Resources, Dept Watershed Management Engn, Tehran 4641776489, Mazandaran Prov, Iran
关键词
Temperature-emissivity separation algorithm; land surface temperature; Shazand Watershed; sustainability index; sustainability trend; Watershed monitoring; URBAN HEAT-ISLAND; SURFACE-TEMPERATURE; AGRICULTURAL DROUGHT; VEGETATION COVER; SEDIMENT YIELD; NDVI; PATTERN; IMPACT; ECOSYSTEM; CITY;
D O I
10.1080/20964129.2021.2024454
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Exploring spatial and temporal land-use changes is valuable for local governments to address issues of sustainability and planning policy where urbanization and industrialization are taking place. Besides anthropogenic effects, natural driving forces like climate change may also affect sustainability. However, such relationships have not been studied minutely. Hence, this study first investigates the land-use changes and their relationship with land surface temperature (LST) for the Shazand Watershed, Iran, in 1986, 1998, 2008, and 2016 coincided with supplementary industrialization stages. Furthermore, the relations among LST and other biophysical parameters, including Normalized Difference Vegetation Index (NDVI), Normalized Difference Buildup Index (NDBI), and Normalized Difference Water Index (NDWI), were analyzed, and corresponding variations were explored. The results indicated that the mean LST of the study watershed has an increasing trend from 1986 to 2008 due to land-use change and drought intensification. Later, LST decreased in 2016. Lower LST was associated with irrigation farming and orchard, and higher LST was related to sparse oak forest areas. There was also a negative correlation between LST and NDVI. As a result, it was inferred that greenery declined LST. Conversely, a positive correlation was found between LST and NDBI resulting from the built-up areas. Since LST could influence biological, physical, chemical processes, it can therefore be supported as an effective index for environmental sustainability assessment.
引用
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页数:15
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