Hadi Eskandari Damaneh; Hamid Gholami; Rasool Mahdavi; Asad Khoorani; Junran Li
Abstract
In this study, water use efficiency index (WUE) was used to assessing the effect of drought on the carbon and water cycle. To calculate this index, we used the gross primary product (GPP) and evapotranspiration (ET) products obtained from the MODIS sensor, and the trend of their changes and reaction ...
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In this study, water use efficiency index (WUE) was used to assessing the effect of drought on the carbon and water cycle. To calculate this index, we used the gross primary product (GPP) and evapotranspiration (ET) products obtained from the MODIS sensor, and the trend of their changes and reaction of this index to drought were calculated for the period 2017-2001 in Fars province. Finally, we assessed the land degradation and desertification in different land uses for study area. The results showed that the indices of evapotranspiration, GPP, water use efficiency, and drought increased by 75.25%, 29.9%, 78.51%, and 67.23%, respectively. The effects of drought on evapotranspiration in agricultural lands and grasslands showed more than 67% positive relationship and also, in these land uses, we observed a significant positive relationship (33.4% and 12.5% for the agricultural lands and grassland, respectively). However, in shrubs lands, and savannas, it is more than 66.6% and 87.5%. The effect of drought on water use efficiency in grassland showed that more than 87% of these areas have a positive relationship. The effectiveness of water use efficiency in plants shows a positive relationship in 40.9% in this area, of which only 0.9% has a significant positive relationship. The negative relationship of this land use is about 59.1% of it. Of this negative amount, only 1.6% of the area had a significant negative relationship. The study of this relationship in the use of savannas shows 75% of this area, which includes 1.5 square kilometers.
Hamid Gholami; Mohammad Reza Mehrdadi; Mehdi Najafi; Mehdi Biniaz
Abstract
Quantifying source contribution of aeolian sediments is essential to prioritize sources and mitigate wind erosion. The objective of this research is quantifying uncertainty associated with results of sediment fingerprinting method using Monte-Carlo simulation technique in the Sirjan plain. Six sediment ...
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Quantifying source contribution of aeolian sediments is essential to prioritize sources and mitigate wind erosion. The objective of this research is quantifying uncertainty associated with results of sediment fingerprinting method using Monte-Carlo simulation technique in the Sirjan plain. Six sediment samples were collected from the sand sheets and forty source samples consisting Qt (n=13); Qc (n=17); Qsg (n=5); and Dc (n=5) were collected from geological spatial sources in the surrounding area. Concentration of eight geochemical elements were measured in both sample group. A two-stage statistical method including Kruskal Wallis H test and a stepwise discriminant function analysis applied for discriminating of aeolian sediment sources. Based on two-stage statistical method, four geochemical properties consisting Fe, K, Mg and Cu were selected as optimum fingerprints. The Qc and Dc were recognized as dominant sources for aeolian sediments in the study area and also, full uncertainty or full range (0-100%) calculated for some source contributions. Therefore, management activities for mitigation of wind erosion should establish at the Qc and Dc source regions. This technique has great potential for quantifying source contribution of aeolian sediments at other area with active wind erosion.
