Diurnal behavior of concentrations of submicron and coarse particles in different seasons in the frameworks of empirical classification of types of aerosol weather

2020 ◽  
Author(s):  
Viktor V. Polkin ◽  
*Elena P. Yausheva ◽  
Mikhail V. Panchenko
Keyword(s):  
Coarse Particles ◽  
Different Seasons ◽  
Diurnal Behavior

scholarly journals Improving MUSLE performance for sediment yield prediction at micro-watershed level using seasonal classified data

2018 ◽  
Vol 13 (3) ◽  
pp. 505-512
Author(s):  
Hamzeh Noor ◽  
Mohammad Rostami Khalaj
Keyword(s):  
Sediment Yield ◽  
Traditional Approach ◽  
Estimation Error ◽  
Superior Performance ◽  
North East ◽  
Erosion Processes ◽  
The North ◽  
East Of Iran ◽  
Different Seasons

Abstract Separating erosion data and assessing season-based models are of great importance considering the variation in soil erosion processes in different seasons, especially in semi-arid regions. However, evaluation of an erosion model using seasonal classification of data and at a micro-watershed level have rarely been considered. Therefore, the present study was conducted to evaluate the modified universal soil loss equation (MUSLE): 1) with the seasonal classification of data and 2) with the traditional approach (no classification of data), in the Sanganeh research micro-watershed. This watershed has an area of 1.2 ha and is located in the north east of Iran. The results showed that the original MUSLE overestimated the sediment yield in the study watershed. Also, after calibration of MUSLE, the seasonal classification of data (with a relative estimation error (RE) of 34%) showed its superior performance compared with the traditional calibration approach (with a RE of 62%). In this regard, the obtained REs of 33, 40, and 31% respectively for spring, autumn, and winter are within or close to the acceptable range.

scholarly journals INFLUENCE OF SEASONS ON EFFECTIVENESS OF HEALTH RESORT MEDICAL REHABILITATION IN PATIENTS WITH CEREBRAL ATHEROSCLEROSIS

2020 ◽  
Vol 26 (3) ◽  
pp. 42-45
Author(s):  
А. S. Ivashchenko ◽  
V. I. Mizin ◽  
V. V. Ezhov ◽  
А. Уи. Tsarev ◽  
Т. S. Yanovsky ◽  
...  
Keyword(s):  
High Efficiency ◽  
Medical Rehabilitation ◽  
International Classification Of Functioning ◽  
Single Center ◽  
Disability And Health ◽  
Health Resort ◽  
Cerebral Atherosclerosis ◽  
Different Seasons ◽  
Health Resorts

The purpose of the work is to identify the dependence of the effectiveness of medical rehabilitation (MR) of patients with cerebral atherosclerosis (CA) on the seasons at the Southern coast of Crimea (SCC). Materials and methods. A prospective, single-center clinical trial in 216 patients with CA. Assessment of the effectiveness of MR was carried out in accordance with the "International Classification of Functioning, Disability and Health" (ICF). Results. As a result of MR, the level of violations of all controlled functions (on average for all ICF domains) was reduced by 28-35% in different seasons of the year, which indicates the high efficiency of the year-round integrated health resort MR at the SCC. Findings. The effectiveness of MR in patients with CA is quite high in all seasons of the year, which testifies to the validity of indications for referring patients to the SCC health resorts throughout the year.

scholarly journals A process-based typology of hydrological drought

2011 ◽  
Vol 8 (6) ◽  
pp. 11413-11483 ◽  
Author(s):  
A. F. Van Loon ◽  
H. A. J. Van Lanen
Keyword(s):  
Hydrological Drought ◽  
Test Case ◽  
Severe Drought ◽  
Catchment Scale ◽  
Catchment Characteristics ◽  
Temperature And Precipitation ◽  
Snow Season ◽  
Rainfall Deficit ◽  
Different Seasons

Abstract. Hydrological drought events have very different causes and effects. Classifying these events into distinct types can be useful for both science and management. We propose a classification of hydrological drought types that is based on the governing drought propagation processes. In this classification six hydrological drought types are distinguished, i.e. (i) classical rainfall deficit drought, (ii) rain-to-snow-season drought, (iii) wet-to-dry-season drought, (iv) cold snow season drought, (v) warm snow season drought, and (vi) composite drought. The processes underlying these drought types are a result of the interplay of temperature and precipitation at catchment scale in different seasons. As a test case, about 125 groundwater droughts and about 210 discharge droughts in five contrasting headwater catchments in Europe have been classified. The most common drought type in all catchments is the classical rainfall deficit drought (almost 50% of all events), but in the selected catchments these are mostly minor events. If only the five most severe drought events of each catchment are considered, a shift towards more rain-to-snow-season droughts, warm snow season droughts, and composite droughts is found. The occurrence of hydrological drought types is determined by climate and catchment characteristics. The typology is transferable to other catchments, incl. outside Europe, because it is generic and based upon processes that occur around the world. A general framework is proposed to identify drought type occurrence in relation to climate and catchment characteristics.

scholarly journals Study on the Significance of Temporal Ion Chemistry in Groundwater of Dindigul District, Tamilnadu, India

2011 ◽  
Vol 8 (2) ◽  
pp. 938-944 ◽  
Author(s):  
R. Manivannan ◽  
S. Chidambaram ◽  
P. Anandhan ◽  
U. Karmegam ◽  
C. Sinagaraja ◽  
...  
Keyword(s):  
Developing Countries ◽  
Water Supply ◽  
Water Chemistry ◽  
Hard Rock ◽  
Ion Chemistry ◽  
Industrial Sectors ◽  
Different Seasons ◽  
Day By Day ◽  
Made In

The demand of water supply is increasing day by day to meet the pace of developments in domestic, agricultural and industrial sectors especially in developing countries like India. Groundwater being a scarce commodity in a hard rock terrain like Dindigul district an attempt has been made in this study brings out the significance of temporal ion chemistry in groundwater by collecting groundwater from 43 different location of the district and analysed for major and minor ions. These ions were then used for the irrigation classification of groundwater and to bring out the mechanisms responsible of the water chemistry of the region during different seasons.

Identification of Season-Dependent Sightseeing Spots Based on Metadata-Derived Features and Image Processing

2014 ◽  
Vol 18 (3) ◽  
pp. 353-360 ◽  
Author(s):  
Chia-Huang Chen ◽  
◽  
Yasufumi Takama
Keyword(s):  
Machine Learning ◽  
Hybrid Approach ◽  
Time Of Day ◽  
Second Phase ◽  
Specific Situation ◽  
Statistical Features ◽  
Spring Season ◽  
Social Network Service ◽  
Different Seasons

Sharing traveling experience and photos on Social Network Service or Web albums is more and more popular recently. Good sightseeing photos in specific situation such as sunset and spring season can impress tourists well, and be clues for them to consider where and when to visit for sightseeing. Regarding situations to be identified, this paper focuses on season. Compared with situations relating with weather and time of day (e.g., sunrise/sunset), whether or not different seasons have different scenery depends on sightseeing spots. Therefore, classifying sightseeing spots into season-dependent/independent is required as preprocessing for season-based classification of sightseeing photos. This paper proposes a hybrid approach for identifying season-dependent sightseeing spots, of which the first phase applies machine learning with statistical features of sightseeing photos obtained from metadata. In order to improve precision, the second phase applies color-based classification to spots identified as season-dependent in the first phase. The experimental results show the effectiveness of the proposed method.

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