Nicolas Dalezios
University of Thessaly, Civil Engineering, Faculty Member
... BURL Processing System for Satellite data, Report BURL 3.6, Bradford University Research Ltd., UK, (1991). 3. NJRosenberg, BLBlad and SBVerma, Microclimate The Biological Environment, John Wiley Sons, 2nd Edition, NY, 1983. 4. NJ... more
... BURL Processing System for Satellite data, Report BURL 3.6, Bradford University Research Ltd., UK, (1991). 3. NJRosenberg, BLBlad and SBVerma, Microclimate The Biological Environment, John Wiley Sons, 2nd Edition, NY, 1983. 4. NJ Rosenberg and RE Myers, The nature ...
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The potential impact of future climate change on runoff generation processes in two southern British Columbia catchments was explored using the Canadian Centre for Climate Modelling Analysis General Circulation Model (CGCMa1) to estimate... more
The potential impact of future climate change on runoff generation processes in two southern British Columbia catchments was explored using the Canadian Centre for Climate Modelling Analysis General Circulation Model (CGCMa1) to estimate future changes in precipitation, temperature and cloud cover while the U.B.C. Watershed Model was used to simulate discharges and quantify the separate runoff components, i.e. rainfall, snowmelt, glacier melt and groundwater. Changes, not only in precipitation and temperature but also in the spatial distribution of precipitation with elevation, cloud cover, glacier extension, altitude distribution of vegetation, vegetation biomass production and plant physiology were considered. The future climate of the catchments would be wetter and warmer than the present. In the maritime rain-fed catchment of the Upper Campbell, runoff from rainfall is the most significant source of flow for present and future climatic conditions in the autumn and winter whereas runoff from groundwater generates the flow in spring and summer, especially for the future climate scenario. The total runoff, under the future climatic conditions, would increase in the autumn and winter and decrease in spring and summer. In contrast, in the interior snow-covered Illecillewaet catchment, groundwater is the most significant runoff generation mechanism in the autumn and winter although, at present, significant flow is generated from snowmelt in spring and from glacier runoff in summer. In the future scenario, the contribution to flow from snowmelt would increase in winter and diminish in spring while the runoff from the glacier would remain unchanged; groundwater would then become the most significant source of runoff, which would peak earlier in the season.
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The accuracy of an optimum interpolation technique in filling missing values in multichannel (or multisite) hydrologic series containing time-coincident data gaps is examined. The applied methodology is based on the maximum entropy method... more
The accuracy of an optimum interpolation technique in filling missing values in multichannel (or multisite) hydrologic series containing time-coincident data gaps is examined. The applied methodology is based on the maximum entropy method (MEM) of spectral estimation or multivariate autoregressive modeling and heavily depends upon the properties of multichannel prediction error filter (PEF). Six precipitation time series spatially located within a hydrologic basin are used and time-coincident artificial gaps are created in all six series. The performance of the technique is assessed by comparing the filled-in series to the observed and by employing spectral analysis. The results reveal the usefulness of the method in multichannel hydrologic analysis.
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The diachronic variability of precipitation is of major scientific concern, because it is linked to water availability or deficiency on regional scale. The latter, resulted from a prolonged period of abnormally low precipitation or... more
The diachronic variability of precipitation is of major scientific concern, because it is linked to water availability or deficiency on regional scale. The latter, resulted from a prolonged period of abnormally low precipitation or permanent absence of precipitation, is associated with dryness, having on one hand, a substantial impact on agricultural production and thus the society itself, and on the other hand, the redistribution of flora and fauna. In some cases, dryness drive climate refugees, and this is a great challenge - threat - that must be faced – mitigated - by stake holders in international organizations and fora. The Aridity Index (AI) measures the degree of dryness of the climate at a given region, and according to the United Nations Environmental Programme (UNEP) it is defined as the ratio of precipitation to the potential evapotranspiration. In this study, we investigate the climate change impacts on AI over Thessaly plain, Greece. Thessaly, the largest plain and gra...
Droughts are regional phenomena, which are considered as one of the major natural environmental hazards affecting many impacts of life and especially agriculture. Climate variability may result into harmful drought periods in semiarid... more
Droughts are regional phenomena, which are considered as one of the major natural environmental hazards affecting many impacts of life and especially agriculture. Climate variability may result into harmful drought periods in semiarid regions. This study proposes an innovative approach for investigating the accumulated meteorological effects on cotton during the growing season. The quantification of the weather effects is based on the application of the Bhalme and Mooley Drought Index (BMDI) methodology on the Vegetation Condition Index (VCI) extracted by NOAA/AVHRR data. The resulted Bhalme and Mooley Vegetation Condition Index (BMVCI) is in the same scale as the Z-Index, as proposed in the Palmer Drought Severity Index (PDSI) for drought monitoring. The study area comprises the region of Thessaly, which is the most cotton productive area in Greece. Eighteen years of NOAA/AVHRR data are examined and processed with the BMVCI to examine the unfavour conditions for cotton production. ...
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Agricultural drought is a natural hazard having direct impacts to crop yield. One major application of remote sensing to agriculture is crop monitoring and assessment of vegetative stress, whereas satellite derived indices have been... more
Agricultural drought is a natural hazard having direct impacts to crop yield. One major application of remote sensing to agriculture is crop monitoring and assessment of vegetative stress, whereas satellite derived indices have been extensively used for identifying stress periods in crops. In this paper, two remotely sensed indices are used in order to quantify agricultural drought impact to cotton growth and estimate the final yield. In specific, Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) are used to monitor agricultural drought and estimate cotton yield. VCI and TCI characterises the moisture and thermal conditions of vegetation, respectively. VCI has excellent ability to detect drought, whereas TCI can identify thermal stresses that have direct impact in vegetation's health. The two indices are computed for 20 hydrological years, from October 1981 to September 2001, from NOAA/AVHRR ten -day composite images with 8x8 Km spatial resolution. VCI and T...
Droughts are regional phenomena and have been referred to as "non events", since their basic cause is the lack of precipitation events in a region over a period of time associated with a higher than normal temperatures. The... more
Droughts are regional phenomena and have been referred to as "non events", since their basic cause is the lack of precipitation events in a region over a period of time associated with a higher than normal temperatures. The severity of drought depends upon the degree of moisture deficiency, the duration and the size of the affected area. Drought impacts significantly affect the ecosystems, social - economic environment and mainly agricultural areas which necessitate the monitoring and assessment of drought's onset, duration, severity and areal extent. There is a variety of drought indices provided in literature. Among them the Reconnaissance Drought Index (RDI) has been recently developed and applied. RDI is used to estimate the hydro-meteorological drought conditions based on precipitation and potential evapotraspiration. This index is already applied in several areas of Greece using conventional ground measurements. In order to map the drought conditions over a large...
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Water for food production represents by far the largest share among all uses and its demand keeps growing with increasing population. The lack of water can affect disfavour the economic and social stability of entire regions. New... more
Water for food production represents by far the largest share among all uses and its demand keeps growing with increasing population. The lack of water can affect disfavour the economic and social stability of entire regions. New technologies (Earth Observation, Geographic Information Systems) provide the possibility of time and spatial observation for the decision support and management. PLEIADeS (Participatory multi-Level EO-assisted tools for Irrigation water management and Agricultural Decision -Support) addresses the efficient and sustainable use of water for food production in water - scarce environments with the use of satellite data and GIS. To the present study is described the process that applied for the computation of crop coefficient Kc that constitutes the basic parameter for the computation of evapotraspiration and accordingly the water needs of crops. Monitoring of Kc with ground based measurements is a time-consuming process and almost unfeasible to apply in large s...
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Identifying vulnerable agricultural production areas is essential for any sustainable development/farming plan. Climate is among the most important factors that determine the agricultural potential of a region and the suitability of an... more
Identifying vulnerable agricultural production areas is essential for any sustainable development/farming plan. Climate is among the most important factors that determine the agricultural potential of a region and the suitability of an area for a specific crop or land management, followed by soil characteristics and geomorphology. Temperature and rainfall in terms of quantity and spatiotemporal variability are the two climatic variables that determine the agricultural potential of an area and the risk involved in any new agronomical use. Also, extreme weather events, such as droughts, have to be taken into account. In this paper, two satellite derived indices are combined in GIS environment with soil maps and a Digital Elevation Model (DEM) in order to identify the agricultural potential of areas. Namely, these indices are the Vegetation Health Index (VHI) and the Degree Days (DD) (also known as Heat Units). VHI represents overall vegetation health and is used for agricultural droug...
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Agriculture is a primary productivity sector which is highly dependent on environmental conditions. The agroclimatic potential of agricultural areas has to be assessed in order to achieve sustainable and efficient use of natural resources... more
Agriculture is a primary productivity sector which is highly dependent on environmental conditions. The agroclimatic potential of agricultural areas has to be assessed in order to achieve sustainable and efficient use of natural resources in combination with production maximization. Temperature and rainfall, in terms of quantity and spatiotemporal variability, are variables which determine the type of crops suitable to a given location. Rainfall variable can also be interpreted as availability of sufficient water required for production of given crops. These variables, in combination with soil type and geomorphology, also determine areas where high levels of production are appropriate, avoiding the threat of degrading the natural resources. In the current work, zones indicating water availability are combined with topographic features and soil types in order to identify areas for sustainable production. Firstly, aridity index (AI) and vegetation health index (VHI) are used in order ...
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Water for food production represents by far the largest share among all uses and its demand keeps growing with increasing population. The lack of water can affect disfavour the economic and social stability of entire regions. New... more
Water for food production represents by far the largest share among all uses and its demand keeps growing with increasing population. The lack of water can affect disfavour the economic and social stability of entire regions. New technologies (Earth Observation, Geographic Information Systems) provide the possibility of time and spatial observation for the decision support and management. In this paper applied principles of precision agriculture through variable-rate inputs by the efficient monitoring of crop needs in space and time, defined zones of sustainable production by means of parallelepiped supervised classification using two indices, the soil maps and the DEM and described the process for the computation of crop evapotraspiration ET p for cotton fields in central Creece, a high agricultural productivity area that produces high quality products. The methodology was also used in Project PLEIADeS and new projects SMART and HYDROSENSE. For the data collection cotton fields wer...
This paper presents an Integrated Methodological Procedure for Alternative Drought Mitigation in Greece. The examined alternative drought mitigation is rain enhanced through cloud seeding. It has long been recognized that cloud seeding is... more
This paper presents an Integrated Methodological Procedure for Alternative Drought Mitigation in Greece. The examined alternative drought mitigation is rain enhanced through cloud seeding. It has long been recognized that cloud seeding is one possible approach for rain enhancement. This paper constitutes a synthesis of several studies with the objective of finding conclusive evidence leading to the design of a rain enhancement program in semiarid areas of northern and central Greece. These studies include the climatology and characteristics of rain, the detection of the severity, extent and periodicity of drought, the investigation of cloud climatology and characteristics as well as the structure and microphysics of clouds. These studies are expected to clarify whether natural processes are efficient and if seeding is likely to be effective. Furthermore an airborne glaciogenic seeding rain experiment case study is presented for rainfall augmentation from summertime towering cumulus ...
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