Monthly streamflow forecasting using artificial intelligence approach: a case study in a semi-arid region of India

2021 ◽  
Vol 14 (22) ◽  
Author(s):  
Priyanka Sharma ◽  
Dnyaneshwar Madane ◽  
S. R. Bhakar ◽  
Survey D. Sharma
Keyword(s):  
Artificial Intelligence ◽  
Arid Region ◽  
Streamflow Forecasting ◽  
Monthly Streamflow ◽  
Semi Arid Region ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach ◽  
Semi Arid ◽  
Monthly Streamflow Forecasting

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. 

Geo-Referenced Soil Fertility Monitoring for Optimized Fertilizer Use: A Case Study from the Semi-Arid Region of Western India

2018 ◽  
pp. 445-460
Author(s):  
R. N. Katkar ◽  
V. K. Kharche ◽  
S. R. Lakhe ◽  
U. D. Ikhe ◽  
A. B. Age ◽  
...  
Keyword(s):  
Soil Fertility ◽  
Arid Region ◽  
Western India ◽  
Fertilizer Use ◽  
Semi Arid Region ◽  
Semi Arid
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