13 Papers
17 Citations
Hamd Ullah is an academic researcher from International Islamic University, Islamabad. The author has contributed to research in topics: Environmental science & Copula (linguistics). The author has an hindex of 3, co-authored 5 publications.
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Papers
Climate change and spatio-temporal trend analysis of climate extremes in the homogeneous climatic zones of Pakistan during 1962-2019
TL;DR: In this paper , the authors investigated the changes in climate and climate extremes by considering two time slices (i.e., 1962-1990 and 1991-2019) in all climate zones of Pakistan by utilizing observed data from 54 meteorological stations.
Drought Risk Analysis for Water Assessment at Gauged and Ungauged Sites in the Low Rainfall Regions of Pakistan
Hamd Ullah,Muhammad Akbar +1 more
TL;DR: In this article, a projection of droughts was performed using monthly precipitation and temperature data in the Balochistan and Sindh provinces of Pakistan, and two statistical methods were used to select Generalized Pareto distribution as the most acceptable distribution for drought risk assessment.
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Assessment of drought and wet projections in the humid climatic regions for Pakistan
TL;DR: In this article, a statistical procedure of the reconnaissance Drought index at the annual time scale was used to combine the monthly rainfall and temperature data for the assessment of extreme drought and wet events.
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Bivariate homogenous regions and projections based on copula function using RDI and SPI indices for drought risk assessment in Pakistan
Hamd Ullah,Muhammad Akbar +1 more
TL;DR: In this paper, the authors constructed bivariate homogenous regions and projections for drought and water resources planning in Pakistan, where the Reconnaissance Drought Index and Standardized Precipitation Index were applied to extract variables of drought duration and severity.
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A copula-based approach for creating an index of micronutrient intakes at household level in Pakistan.
TL;DR: In this paper , the authors proposed copula methodology to categorize malnutrition of micronutrients at household level by combining the dependence structure of various correlated variables, such as calcium, iron, iodine, zinc, riboflavin, thiamine and phosphorus.
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