Hrachuhi GalstyanNeijiang Normal University · School of Life Sciences
Hrachuhi Galstyan
Ph.D
About
12
Publications
2,172
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21
Citations
Citations since 2017
Publications
Publications (12)
The quantitative and qualitative evaluations of long‐term trends and spatial distribution of heat waves (HW) are carried out in Southern Armenia (Syunik province). For this purpose, the daily average maximum air temperature data (𝑇𝑚𝑎𝑥) from 4 meteorological stations (Sisian, Goris, Kapan, and Meghri) are studied for the 1936–2019 period. The HW cat...
The study concerned the analysis of temporal and spatial variability of floods in the Republic of Armenia (RA). While there are number of reports on flood formation of rivers in RA, the literature lacks results on using nonparametric test results to analyze this disastrous phenomenon. For that purpose, the dynamics of changes in extreme maximum ins...
Existing high-resolution reconstructions of hydroclimate variability in the Caucasus are lacking tree-ring data from Armenian Plateau, the most continental part of the region. Our research presents the first dendrochronological investigation in Armenia. Juniper and oak tree-ring width chronologies were constructed, the longest spanning the last 140...
The primary goal of the study is to analyze the spatial-temporal trends and distribution of flood events in the context of climate change in Armenia. For that purpose, some meteorological parameters, physical-geographical factors and the flood events data were studied for the 1994–2019 period. The linear trends demonstrate an increasing tendency of...
The adsorbent ability of Al2O3 nanoparticles (ANPs) was examined to remove Cd²⁺ and Zn²⁺ from aqueous solution. The sorption of Cd²⁺ and Zn²⁺ on ANPs as a function of pH, ionic strength (IS), humic acid (HA), contact time, foreign ions and the temperature were investigated. It was observed that physico-chemical factors (pH and ionic strength) stron...
Soil variability and soil erosion on the south-eastern slopes of Mt Aragats
Kolja Thestorf*a, Hilmar Schrödera, Trahel Vardanianb, Hrachuhi Galstyanb
a Department of Geography, Humboldt University of Berlin, Unter den Linden 6, 10099 Berlin
b Faculty of Geography and Geology, Yerevan State University, 1 Aleq Manukyan, 0025 Yerevan
Introduction
Th...
This conference paper shows the first results of the BMBF-funded project "Pedology of highly degraded ecosystems in Central Armenia and their potentials of a sustainable land use", that have been presented at the International Conference “Modern problems of Geography and Geology” held at Yerevan State University. More extensive evaluations and pres...
Despite the present-day high level of scientific and technological development, there are a number of theoretical and methodological issues, which need modern innovative approaches. We studied a few mathematical-statistical methods, which are applicable due to the usage of advanced techniques for analyzing climate series. The study area of this res...
The purpose of this study is to analyze the temporal
and spatial variability of thermal conditions in the Republic of
Armenia. The paper describes annual fluctuations in air temperature.
Research has been focused on case study region of Armenia and
surrounding areas, where long–term measurements and observations
of weather conditions have been perf...
Future climate change is generally believed to lead to an increase in climate variability and in the frequency and intensity of extreme events. In this report we analyze the changes in variability and extremes in temperature in Armenia based on non parametric Mann-Kendall test results. Monthly average, average minimum and maximum temperature data o...
Paper title in English. This study concerns the analysis of temporal and spatial variability of precipitation in the Republic of Armenia in the second half of the twentieth century and the first decade of the twenty–first century. The study area includes Armenia where long–term measurements and observations of weather conditions have been performed...
Questions
Question (1)
HW events are identified by daily time series of the spatial average of Tmax. The data at land points only (or stations) are used in computing this average. The 90th and 75th percentile values
(hereafter referred to as T1 and T2, respectively) of this population of daily data in all available
years are noted. An HW event is identified in the region when the spatial mean of Tmax is higher
than T1 for three consecutive days or more, the event-averaged value of Tmax is higher than T1,
and Tmax is higher than T2 throughout the event (Lau and Nath, 2012, 2014).
SO, the 90th and 75th percentile values to calculate for 30 or 31 days and compare with daily average max? Right?
Projects
Projects (3)
Objectives of the project:
• Study and assess the role of natural factors in the formation of air temperature and atmospheric precipitation.
• Analyze and evaluate the series of multi-annual observations of air temperature and atmospheric precipitation using modern mathematical-statistical packages, ensuring their reliability.
• Analyze and assess the spatial-temporal distribution of air temperature and atmospheric precipitation in the territory of Sichuan province.
• Identify the peculiarities of spatial distribution of average air temperature and atmospheric precipitation in Sichuan province.
• Analyze the dynamics of changes in average multi-annual air temperatures and atmospheric precipitation changes and compare with the baseline period (1961-1990).
Aim of the project is to find out in how far the land use management (pasture and agriculture) in historical terms and the intensive irrigation of semi-arid landscapes in the Soviet period lead to soil degradation, salinisation and soil compaction. Focussing on two study areas (Mt. Aragats and Araks valley) soils of different genesis and climate are examined. In a first step various soil data are generated to get information about actual soil conditions.
The main goal of the study is to examine and evaluate the air temperature and precipitation changes in the RA on the context of climate change using modern statistical methods.
