Climatic Variables Mapping Using Geostatistics in Semi Arid Region: Case Study of Tunisia

2015 ◽  
Vol 03 (01) ◽  
Author(s):  
Haifa Feki Hatem Baccour
Keyword(s):  
Arid Region ◽  
Climatic Variables ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Modeling Insights into Precipitation Deuterium Excess as an Indicator of Raindrop Evaporation in Lanzhou, China

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 193
Author(s):  
Fenli Chen ◽  
Mingjun Zhang ◽  
Athanassios A. Argiriou ◽  
Shengjie Wang ◽  
Qian Ma ◽  
...  
Keyword(s):  
Arid Region ◽  
Quantitative Methods ◽  
Isotope Composition ◽  
Sampling Site ◽  
Western China ◽  
Cloud Base ◽  
Deuterium Excess ◽  
Semi Arid Region ◽  
Semi Arid

The deuterium excess in precipitation is an effective indicator to assess the existence of sub-cloud evaporation of raindrops. Based on the synchronous measurements of stable isotopes of hydrogen and oxygen (δ2H and δ18O) in precipitation for several sites in Lanzhou, western China, spanning for approximately four years, the variations of deuterium excess between the ground and the cloud base are evaluated by using a one-box Stewart model. The deuterium excess difference below the cloud base during summer (−17.82‰ in Anning, −11.76‰ in Yuzhong, −21.18‰ in Gaolan and −12.41‰ in Yongdeng) is greater than that in other seasons, and difference in winter is weak due to the low temperature. The variations of deuterium excess in precipitation due to below-cloud evaporation are examined for each sampling site and year. The results are useful to understand the modification of raindrop isotope composition below the cloud base at a city scale, and the quantitative methods provide a case study for a semi-arid region at the monsoon margin.

22. The Feminization of Agricultural Labour in India, With a Case Study of the Semi-Arid Region of Andhra Pradesh: A Means of Empowerment or a Method of Domination?

2018 ◽  
Author(s):  
Jamie Shinoff
Keyword(s):  
Arid Region ◽  
Andhra Pradesh ◽  
Rural India ◽  
Public Spheres ◽  
Agricultural Work ◽  
Economic Disparity ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Agricultural Labourers

With the general shift of men turning to out-migration work in times of economic disparity, women in rural India, specifically in the region of Andhra Pradesh, are forced to step in and fill the gap in agricultural labour left by migrating men. This phenomenon, coupled with the increased desire for female agricultural labourers – because of their tolerance of low wages – has led to a significant increase in the feminization of agricultural labour in India since the 1990s. While neoliberal writers argue that the increasingly feminized workforce of agricultural labour in rural India is largely demand-driven – both by male-out migration and thus the freeing up of agricultural work for women, I will argue, in accordance with the Marxist-feminist school of thought, that the increased feminization of agricultural labour in rural Andhra Pradesh does not reflect rural prosperity, but in fact is the “consequence of increasing pauperization among the small peasantry” (Garikipati 2008:630). This paper will explore the debate of whether or not the feminization of the agricultural workforce in rural Andhra Pradesh has accelerated female independence and empowerment in both the private (household) and public spheres. This locality study will thus add to a critical Marxist-feminist perspective of the feminization of agricultural labour in India generally, and the semi-arid region of Andhra Pradesh specifically, while raising the question of who truly benefits form the feminization of the agricultural workforce. 

scholarly journals Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

2020 ◽  
Vol 12 (5) ◽  
pp. 1939 ◽  
Author(s):  
Edith Olmos-Trujillo ◽  
Julián González-Trinidad ◽  
Hugo Júnez-Ferreira ◽  
Anuard Pacheco-Guerrero ◽  
Carlos Bautista-Capetillo ◽  
...  
Keyword(s):  
Arid Region ◽  
Climatic Factors ◽  
Time Lag ◽  
Vegetation Indices ◽  
Climatic Variables ◽  
Semiarid Region ◽  
Linear Regression Models ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

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