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Journal articles on the topic 'Local extreme'

Author: Grafiati

Published: 22 July 2021

Last updated: 29 July 2025

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1

Nguyen, A. T., and V. Yu Tsviatkou. "Block-segment search of local extrema of images based on analysis of brightnesses of related pixels and areas." «System analysis and applied information science», no. 4 (December 30, 2019): 4–9. http://dx.doi.org/10.21122/2309-4923-2019-4-4-9.

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The aim of the work is to develop an algorithm for extracting local extremes of images with low computational complexity and high accuracy. The known algorithms for block search for local extrema have low computational complexity, but only strict maxima and minima are distinguished without errors. The morphological search gives accurate results, highlighting the extreme areas formed by non-severe extremes, however, it has high computational complexity. The paper proposes a block-segment search algorithm for local extremums of images based on an analysis of the brightness of adjacent pixels and

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2

Biskup, Marek, and Oren Louidor. "Extreme Local Extrema of Two-Dimensional Discrete Gaussian Free Field." Communications in Mathematical Physics 345, no. 1 (2016): 271–304. http://dx.doi.org/10.1007/s00220-015-2565-8.

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3

Bradbury, Mark D., and G. David Waechter. "Extreme Outsourcing in Local Government." Review of Public Personnel Administration 29, no. 3 (2009): 230–48. http://dx.doi.org/10.1177/0734371x09332572.

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4

Riegel, D. "Extreme cases of local magnetism." Hyperfine Interactions 34, no. 1-4 (1987): 345–53. http://dx.doi.org/10.1007/bf02072735.

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5

Qu, Yanpeng. "Local coupled extreme learning machine." Neural Computing and Applications 27, no. 1 (2014): 27–33. http://dx.doi.org/10.1007/s00521-013-1542-4.

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6

Du, Hong, Jun Xia, Yi Yan, Yumeng Lu, and Jinhua Li. "Spatiotemporal Variations of Extreme Precipitation in Wuling Mountain Area (China) and Their Connection to Potential Driving Factors." Sustainability 14, no. 14 (2022): 8312. http://dx.doi.org/10.3390/su14148312.

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Changes in extreme precipitation have become a significant issue of regional disaster risk assessment and water resources management. Extreme precipitation variability is affected by multiple factors and shows disparities across different regions. Especially in mountain areas, geographic feature and local characteristics put more complexity and uncertainty on the changes of precipitation extremes. In this study, ten extreme precipitation indices of Wuling Mountain Area (WMA) during 1960–2019 have been used to analyzed the spatiotemporal variations of precipitation extremes. The relationships b

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Choryński, Adam, Iwona Pińskwar, Dariusz Graczyk, and Michał Krzyżaniak. "The Emergence of Different Local Resilience Arrangements Regarding Extreme Weather Events in Small Municipalities—A Case Study from the Wielkopolska Region, Poland." Sustainability 14, no. 4 (2022): 2052. http://dx.doi.org/10.3390/su14042052.

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Compared with other parts of the world, Poland is a relatively safe country in terms of natural disasters. Nevertheless, extreme weather events have become a significant threat in recent years, especially for local communities. These are exposed to intense rainfall, heavy wind, and heatwaves, as are larger towns. However, small municipalities have different economic, social, and human potential for undertaking preventive actions regarding meteorological extremes. In this paper, we are looking at what activities local communities from the Wielkopolska region in Poland undertake to cope with ext

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8

Pandit, Chirayu, and Sanskriti Mujumdar. "Analysis of Monthly and Daily Annual Extreme Precipitation for Urban Vadodara." Disaster Advances 18, no. 4 (2025): 37–46. https://doi.org/10.25303/184da037046.

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Human intervention due to change in landuse landcover, emission of greenhouse gases and aerosols affects local climate. Spatial analysis of long term annual rainfall and very wet days of 5 years’ time window of rural and urban stations of Vadodara district reveals that urban annual rainfall is rising as compared to surrounding peri-urban and rural rainfall. One-day annual extreme rainfall is important for understanding and establishing impacts of climate change. Information about occurrence of extreme precipitation is of utmost importance for flood mitigation. One-day annual extremes and conse

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Kendon, Elizabeth J., David P. Rowell, Richard G. Jones, and Erasmo Buonomo. "Robustness of Future Changes in Local Precipitation Extremes." Journal of Climate 21, no. 17 (2008): 4280–97. http://dx.doi.org/10.1175/2008jcli2082.1.

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Abstract Reliable projections of future changes in local precipitation extremes are essential for informing policy decisions regarding mitigation and adaptation to climate change. In this paper, the extent to which the natural variability of the climate affects one’s ability to project the anthropogenically forced component of change in daily precipitation extremes across Europe is examined. A three-member ensemble of the Hadley Centre Regional Climate Model (HadRM3H) is used and a statistical framework is applied to estimate the uncertainty due to the full spectrum of climate variability. In

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10

Xie, Kun, Lu Li, Hua Chen, et al. "Enhanced evaluation of hourly and daily extreme precipitation in Norway from convection-permitting models at regional and local scales." Hydrology and Earth System Sciences 29, no. 8 (2025): 2133–52. https://doi.org/10.5194/hess-29-2133-2025.

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Abstract. Convection-permitting regional climate models (CPRCMs) have demonstrated enhanced capability in capturing extreme precipitation compared to regional climate models (RCMs) with convection parameterization schemes. Despite this, a comprehensive understanding of their added values in terms of daily or hourly extremes, especially at the local scale, remains limited. In this study, we conduct a thorough comparison of daily and hourly extreme precipitation from the HARMONIE Climate (HCLIM) model at 3 km resolution (HCLIM3) and 12 km resolution (HCLIM12) across Norway's diverse landscape, d

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Oday, Jasim Mohammed Al-Furaiji, Anh Tuan Nguyen, and Yurevich TsviatkouViktar. "A new fast efficient non-maximum suppression algorithm based on image segmentation." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 2 (2020): 1062–70. https://doi.org/10.11591/ijeecs.v19.i2.pp1062-1070.

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In this paper, the problem of finding local extrema in grayscale images is considered. The known non-maximum suppression algorithms provide high speed, but only single-pixel extrema are extracted, skipping regions formed by multi-pixel extrema. Morphological algorithms allow to extract all extrema but its maxima and minima are processed separately with high computational complexity by iterative processing based on image reconstruction using image morphological dilation and erosion. In this paper a new fast efficient non-maximum suppression algorithm based on image segmentation and border analy

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12

Alikhani-Koopaei. "BOREL MEASURABILITY OF EXTREME LOCAL DERIVATIVES." Real Analysis Exchange 17, no. 2 (1991): 521. http://dx.doi.org/10.2307/44153746.

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13

Li, Feng, Jie Yang, Mingchen Yao, Sibo Yang, and Wei Wu. "Extreme learning machine with local connections." Neurocomputing 368 (November 2019): 146–52. http://dx.doi.org/10.1016/j.neucom.2019.08.069.

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14

Riegel, D. "Local moment formation under extreme conditions." Journal of Magnetism and Magnetic Materials 52, no. 1-4 (1985): 96–102. http://dx.doi.org/10.1016/0304-8853(85)90232-x.

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15

Kovac, A. "Smooth functions and local extreme values." Computational Statistics & Data Analysis 51, no. 10 (2007): 5155–71. http://dx.doi.org/10.1016/j.csda.2006.08.018.

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16

Panja, D., and F. M. Selten. "Extreme associated functions: optimally linking local extremes to large-scale atmospheric circulation structures." Atmospheric Chemistry and Physics Discussions 7, no. 5 (2007): 14433–60. http://dx.doi.org/10.5194/acpd-7-14433-2007.

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Abstract. We present a new statistical method to optimally link local weather extremes to large-scale atmospheric circulation structures. The method is illustrated using July–August daily mean temperature at 2 m height (T2m) time-series over the Netherlands and 500 hPa geopotential height (Z500) time-series over the Euroatlantic region of the ECMWF reanalysis dataset (ERA40). The method identifies patterns in the Z500 time-series that optimally describe, in a precise mathematical sense, the relationship with local warm extremes in the Netherlands. Two patterns are identified; the most importan

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Pyko, N. S., E. D. Orandarenko, and M. I. Bogachev. "Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation." Journal of the Russian Universities. Radioelectronics 26, no. 5 (2023): 99–111. http://dx.doi.org/10.32603/1993-8985-2023-26-5-99-111.

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Introduction. Generalized extreme value (GEV) distributions represent a universal description of the limiting distribution of the normalized local maxima statistics for independent and identically distributed data series. Extreme value distributions are commonly classified into three different types representing different functional forms and thus varying in shape, also known as types I, II, and III. Thus, attribution of some observational data series to a particular type of its local maxima distribution, as well as fitting of the distribution parameters, provides certain information about the

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18

Dulière, Valérie, Yongxin Zhang, and Eric P. Salathé. "Extreme Precipitation and Temperature over the U.S. Pacific Northwest: A Comparison between Observations, Reanalysis Data, and Regional Models*." Journal of Climate 24, no. 7 (2011): 1950–64. http://dx.doi.org/10.1175/2010jcli3224.1.

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Abstract Extreme precipitation and temperature indices in reanalysis data and regional climate models are compared to station observations. The regional models represent most indices of extreme temperature well. For extreme precipitation, finer grid spacing considerably improves the match to observations. Three regional models, the Weather Research and Forecasting (WRF) at 12- and 36-km grid spacing and the Hadley Centre Regional Model (HadRM) at 25-km grid spacing, are forced with global reanalysis fields over the U.S. Pacific Northwest during 2003–07. The reanalysis data represent the timing

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19

Liu, Chong, Bing Qiang Wang, Xiao Lan Wang, Yu Lin He, and Rana Aamir Raza Ashfaq. "An Improved Local Coupled Extreme Learning Machine." Journal of Software 11, no. 8 (2016): 745–55. http://dx.doi.org/10.17706/jsw.11.8.745-755.

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20

Huang, Guang-Bin, Zuo Bai, Liyanaarachchi Lekamalage Chamara Kasun, and Chi Man Vong. "Local Receptive Fields Based Extreme Learning Machine." IEEE Computational Intelligence Magazine 10, no. 2 (2015): 18–29. http://dx.doi.org/10.1109/mci.2015.2405316.

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21

Ratz, H. C. "Extreme value engineering for local network traffic." IEEE Transactions on Communications 36, no. 12 (1988): 1302–8. http://dx.doi.org/10.1109/26.8943.

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22

Nadarajah, Saralees, Kosto Mitov, and Samuel Kotz. "Local dependence functions for extreme value distributions." Journal of Applied Statistics 30, no. 10 (2003): 1081–100. http://dx.doi.org/10.1080/0266476032000107123.

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23

Yu, Wan-guo, Xu Zhou, Yu-lin He, and Rana Aamir Raza Ashfaq. "Comments on “Local coupled extreme learning machine”." Neural Computing and Applications 28, no. 3 (2016): 631–34. http://dx.doi.org/10.1007/s00521-016-2497-z.

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24

Richmond, John George, and Rowena Hill. "Rethinking local resilience for extreme heat events." Public Health 218 (May 2023): 146–48. http://dx.doi.org/10.1016/j.puhe.2023.03.005.

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25

Ayupov, Sh A., K. M. Kudaybergenov, and B. T. Yusupov. "Local and 2-Local Derivations of Locally Simple Lie Algebras." Contemporary Mathematics. Fundamental Directions 68, no. 1 (2022): 95–109. http://dx.doi.org/10.22363/2413-3639-2022-68-1-95-109.

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In this paper, we study a two-state Hard-Core (HC) model with activity λ0{\lambda >0} on a Cayley tree of order k ≥2{k \ge 2}. It is known that there are λcr{\lambda_{cr}}, λcr0{\lambda_{cr}^0} and λcr'{\lambda_{cr}^'} such that  for λ≤λcr{\lambda \le \lambda_{cr}} this model has a unique Gibbs measure λ0{\lambda >0}, which is translation invariant. The measure λ0{\lambda >0} is extreme for λλcr0{\lambda < \lambda_{cr}^0} and not extreme for λλcr'{\lambda > \lambda_{cr}^'}; for λλcr{\lambda > \lambda_{cr}} there exist exactly three 2-periodic Gibbs measures,

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Ayupov, Sh A., K. M. Kudaybergenov, and B. T. Yusupov. "Local and 2-Local Derivations of Locally Simple Lie Algebras." Contemporary Mathematics. Fundamental Directions 68, no. 1 (2022): 95–109. http://dx.doi.org/10.22363/2413-3639-2022-68-1-95-109.

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In this paper, we study a two-state Hard-Core (HC) model with activity λ0{\lambda >0} on a Cayley tree of order k ≥2{k \ge 2}. It is known that there are λcr{\lambda_{cr}}, λcr0{\lambda_{cr}^0} and λcr'{\lambda_{cr}^'} such that  for λ≤λcr{\lambda \le \lambda_{cr}} this model has a unique Gibbs measure λ0{\lambda >0}, which is translation invariant. The measure λ0{\lambda >0} is extreme for λλcr0{\lambda < \lambda_{cr}^0} and not extreme for λλcr'{\lambda > \lambda_{cr}^'}; for λλcr{\lambda > \lambda_{cr}} there exist exactly three 2-periodic Gibbs measures,

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27

Zhang, Jing, Lin Feng, and Bin Wu. "Local extreme learning machine: local classification model for shape feature extraction." Neural Computing and Applications 27, no. 7 (2015): 2095–105. http://dx.doi.org/10.1007/s00521-015-2008-7.

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28

Powell, Emily J., and Barry D. Keim. "Trends in Daily Temperature and Precipitation Extremes for the Southeastern United States: 1948–2012." Journal of Climate 28, no. 4 (2015): 1592–612. http://dx.doi.org/10.1175/jcli-d-14-00410.1.

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Abstract Spatial and temporal trends in temperature and precipitation extremes were investigated for the period 1948–2012 across the southeastern United States using 27 previously defined indices. Results show that regionwide warming in extreme minimum temperatures and cooling in extreme maximum temperatures occurred. The disproportionate changes in extreme daytime and nighttime temperatures are narrowing diurnal temperature ranges for most locations. The intensity and magnitude of extreme precipitation events increased overall, except for more easterly locations, particularly in South Carolin

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Li, Xianghu, and Qi Hu. "Spatiotemporal Changes in Extreme Precipitation and Its Dependence on Topography over the Poyang Lake Basin, China." Advances in Meteorology 2019 (February 3, 2019): 1–15. http://dx.doi.org/10.1155/2019/1253932.

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Spatiotemporal changes in extreme precipitation at local scales in the context of climate warming are overwhelmingly important for prevention and mitigation of water-related disasters and also provide critical information for effective water resources management. In this study, the variability and trends of extreme precipitation in both time and space in the Poyang Lake basin over the period of 1960–2012 are analyzed. Also, changes in precipitation extremes with topography are investigated, and possible causes are briefly discussed. The results show that extreme precipitation over the Poyang L

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Wang, Xiu Chen. "Local Extreme Extraction of Fabric Gray Feature Wave." Key Engineering Materials 460-461 (January 2011): 621–24. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.621.

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Aiming at lack of effective algorithm for image gray feature wave analysis, this paper proposes a new local extreme extraction for image gray feature, which can establish full information of image feature wave for continue analysis. Firstly, the definition of image gray feature wave is given. Secondly, methods of local extreme extraction of feature wave are detail described, and specific calculation formulas are given. Finally, some examples of local extreme extraction of different fabric images are listed. Results show that this method is fast and easy, can exactly judge local extreme of feat

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Bonnafous, Luc, and Upmanu Lall. "Space-time clustering of climate extremes amplify global climate impacts, leading to fat-tailed risk." Natural Hazards and Earth System Sciences 21, no. 8 (2021): 2277–84. http://dx.doi.org/10.5194/nhess-21-2277-2021.

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Abstract. We present evidence that the global juxtaposition of major assets relevant to the economy with the space and time expression of extreme floods or droughts leads to a much higher aggregate risk than would be expected by chance. Using a century-long, globally gridded time series that indexes net water availability, every year we compute local occurrences of an extreme “dry” or “wet” condition for a specified duration and return period. A global exposure index is then derived for major mining commodities by weighting extreme event occurrence by local production exposed. We note signific

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Zibrah, Muhammad Subhan Al, and Novvria Sagita. "Study of The Impact of Convectively Coupled Equatorial Kelvin and Rossby Waves on Rainfall Extremes in Sulawesi, Indonesia." IOP Conference Series: Earth and Environmental Science 1233, no. 1 (2023): 012029. http://dx.doi.org/10.1088/1755-1315/1233/1/012029.

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Abstract This study examined the impact of Equatorial Kelvin and Equatorial Rossby (ER) waves on rainfall extremes over Sulawesi Island, Indonesia. Impacts are assessed by changes in the probability of rainfall events that exceeded extreme value and changes in the fraction of wet days. Using Asian Precipitation – Highly Resolved Observational Data Integration Towards Evaluation (APHRODITE) rainfall data and Outgoing Longwave Radiation (OLR) from NOAA, impacts are quantified with the respect to wave’s local phase grouping. The local wave phase is based on the standardized OLR anomalies and thei

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Dendir, Zelalem, and Belay Simane Birhanu. "Analysis of Observed Trends in Daily Temperature and Precipitation Extremes in Different Agroecologies of Gurage Zone, Southern Ethiopia." Advances in Meteorology 2022 (July 7, 2022): 1–13. http://dx.doi.org/10.1155/2022/4745123.

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Ethiopian climate-sensitive economy is particularly vulnerable to the effects of climate-related extreme events. Thus, examining extreme daily precipitation and temperature in the context of climate change is a critical factor in advocating climate change adaptation at the local scales. Spatial changes of climate indices for extreme precipitation and temperatures were conducted for the period 1986–2016 in three different agroecologies of the Gurage zone, Southern Ethiopia. The study used the Mann–Kendall (MK) test and Sen’s slope estimator to estimate the trend and magnitude of changes in prec

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McRae, R. H. D., J. J. Sharples, and M. Fromm. "Linking local wildfire dynamics to pyroCb development." Natural Hazards and Earth System Sciences Discussions 2, no. 12 (2014): 7269–92. http://dx.doi.org/10.5194/nhessd-2-7269-2014.

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Abstract. Extreme wildfires are global phenomena that consistently result in loss of life and property, and further impact the cultural, economic and political stability of communities. In their most extreme form they cause widespread devastation of environmental assets and are capable of impacting the upper troposphere–lower stratosphere through the formation of a thunderstorm within the plume. Such fires are now often observed by a range of remote sensing technologies, which together allow a greater understanding of a fire's complex dynamics. This paper considers one such fire that burnt in

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35

Ciurdariu, Loredana. "Local extreme points and a Young-type inequality." Applied Mathematical Sciences 12, no. 26 (2018): 1265–75. http://dx.doi.org/10.12988/ams.2018.88126.

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Holohan, Naoise, Douglas J. Leith, and Oliver Mason. "Extreme points of the local differential privacy polytope." Linear Algebra and its Applications 534 (December 2017): 78–96. http://dx.doi.org/10.1016/j.laa.2017.08.011.

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37

Amsaleg, Laurent, Oussama Chelly, Teddy Furon, et al. "Extreme-value-theoretic estimation of local intrinsic dimensionality." Data Mining and Knowledge Discovery 32, no. 6 (2018): 1768–805. http://dx.doi.org/10.1007/s10618-018-0578-6.

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Giordono, Leanne, Hilary Boudet, and Alexander Gard-Murray. "Local adaptation policy responses to extreme weather events." Policy Sciences 53, no. 4 (2020): 609–36. http://dx.doi.org/10.1007/s11077-020-09401-3.

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Marohn, Frank. "Local Asymptotic Normality in Extreme Value Index Estimation." Annals of the Institute of Statistical Mathematics 49, no. 4 (1997): 645–66. http://dx.doi.org/10.1023/a:1003210125157.

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NISHIO, Haruhito, and Ryo INOUE. "CORRELATION REPRESENTATION OF LOCAL AND REGIONAL EXTREME PRECIPITATION EVENTS BY APPLYING SPATIAL EXTREME MODELING." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 78, no. 2 (2022): I_463—I_468. http://dx.doi.org/10.2208/jscejhe.78.2_i_463.

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Élesztős, Pavel, Roland Jančo, and Vladimír Voštiar. "Optimization of Welding Process using a Genetic Algorithm." Strojnícky casopis – Journal of Mechanical Engineering 68, no. 2 (2018): 17–24. http://dx.doi.org/10.2478/scjme-2018-0014.

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AbstractWelding is a complex technological process in which local heating takes place up to the melting point of the connecting and the additional material. Phase and crystallization processes are a strong non-linear function of the cooling rate. This non-linear function multiplies the complexity of the numerical simulation and optimization of the welding process. Lately, optimization with genetic algorithm has become the trend to optimize systems that behave in a non-linear manner and contain a number of local extremes. Genetic algorithm is therefore a method by which we seek an absolute extr

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Mikulić, Antonio, and Joško Parunov. "A Wave Directionality and a Within-Year Wave Climate Variability Effects on the Long-Term Extreme Significant Wave Heights Prediction in the Adriatic Sea." Journal of Marine Science and Engineering 11, no. 1 (2022): 42. http://dx.doi.org/10.3390/jmse11010042.

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The extreme significant wave height predictions often neglect within-year wave climate variability and wave directionality. Depending on a geographical region, local wind patterns and year climate variability could have an influence on the long-term prediction of waves. The Adriatic Sea having two dominant wind patterns of different characteristics, Bura and Jugo, is a great example for the case study. The 23-year hindcast wave data used in the presented study is extracted from the WorldWaves database. Based on wind and wave data, annual extreme significant wave heights generated by different

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Robinson, Joe D., Farshid Vahedifard, and Amir AghaKouchak. "Rainfall-triggered slope instabilities under a changing climate: comparative study using historical and projected precipitation extremes." Canadian Geotechnical Journal 54, no. 1 (2017): 117–27. http://dx.doi.org/10.1139/cgj-2015-0602.

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This study aims to quantitatively assess the impact of extreme precipitation events under current and future climate scenarios on landslides. Rainfall-triggered landslides are analyzed primarily using extreme precipitation estimates, derived using the so-called stationary assumption (i.e., statistics of extreme events will not vary significantly over a long period of time). However, extreme precipitation patterns have shown to vary substantially due to climate change, leading to unprecedented changes in the statistics of extremes. In this study, a nonstationary approach, applied to climate mod

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Song, Xiaomeng, Jiachen Qi, Xianju Zou, Jianyun Zhang, and Cuishan Liu. "Potential Effects of Urbanization on Precipitation Extremes in the Pearl River Delta Region, China." Water 14, no. 16 (2022): 2466. http://dx.doi.org/10.3390/w14162466.

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Rapid urbanization plays an indelible role in modifying local climate, with more extreme precipitation in urban areas. Understanding the mechanism of urban-induced precipitation changes and quantifying the potential effects of urbanization on the changes in precipitation extremes have become hotspot issues in hydrometeorology. We examine the spatiotemporal changes of precipitation extremes over the Pearl River Delta region in China using the homogenized daily precipitation dataset from the period 1961–2017, and quantify the urbanization effects on these changes. Most of the extreme precipitati

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Janssen, A., and F. Marohn. "On statistical information of extreme order statistics, local extreme value alternatives, and poisson point processes." Journal of Multivariate Analysis 48, no. 1 (1994): 1–30. http://dx.doi.org/10.1016/0047-259x(94)80002-d.

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Deng, Lu, and Zhengjun Zhang. "Assessing the features of extreme smog in China and the differentiated treatment strategy." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2209 (2018): 20170511. http://dx.doi.org/10.1098/rspa.2017.0511.

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Extreme smog can have potentially harmful effects on human health, the economy and daily life. However, the average (mean) values do not provide strategically useful information on the hazard analysis and control of extreme smog. This article investigates China's smog extremes by applying extreme value analysis to hourly PM2.5 data from 2014 to 2016 obtained from monitoring stations across China. By fitting a generalized extreme value (GEV) distribution to exceedances over a station-specific extreme smog level at each monitoring location, all study stations are grouped into eight different cat

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Pei, Fengsong, Yi Zhou, and Yan Xia. "Assessing the Impacts of Extreme Precipitation Change on Vegetation Activity." Agriculture 11, no. 6 (2021): 487. http://dx.doi.org/10.3390/agriculture11060487.

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Extreme climate events frequently have more severe effects on terrestrial vegetation activity than long-term changes in climate averages. However, changes in extreme climate events as well as their potential risk on vegetation activity are still poorly understood. By using the Middle and Lower Reaches of the Yangtze River (MLR-YR) in China as an example, this paper aims to understand the vegetation response to changes in extreme precipitation events from 1982 to 2012 using the maximum normalized difference vegetation index (NDVI) as an indicator. By applying extreme value theory (EVT), the pot

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48

Kiziun, Alla. "EXTREME TYPES OF TOURISM IN THE DAILY ACTIVITIES OF LOCAL COMMUNITIES." GEOGRAPHY AND TOURISM, no. 67 (2022): 18–24. http://dx.doi.org/10.17721/2308-135x.2022.67.18-24.

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The spontaneous development of extreme types of tourism is not always correlated with the established life of local communities, which can lead to conflict situations. The aim is to analyze the peculiarities of the development of extreme types of tourism and the possibilities of their adaptation to the daily activities of local communities. Methodology: the research was carried out using a comprehensive analysis of materials of field tourism and landscape research during 2015-2020, the principles of historicism, combination and methods of GIS technologies. Results: substantiated the existence

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Rickenbach, Thomas. "Seasonal Changes of Extremes in Isolated and Mesoscale Precipitation for the Southeastern United States." Atmosphere 9, no. 8 (2018): 309. http://dx.doi.org/10.3390/atmos9080309.

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Abstract:

The association between instantaneous extreme precipitation and mesoscale organization over the southeastern United States is not well known. This study addresses whether isolated precipitation features have a distinct distribution and spatial pattern of extreme rain compared to mesoscale precipitation features, and how these distributions and spatial patterns change from spring to summer. Using a four-year surface radar precipitation data set, hourly images of instantaneous extreme rain rates were separated into isolated and mesoscale precipitation features from March through August for the f

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XiaoZhuo Luo, Fang Liu, XiaoDong Wang, and ZhiGuo Zhou. "Clustering by Local Label Approximation with Extreme Learning Machine." International Journal of Digital Content Technology and its Applications 6, no. 18 (2012): 508–15. http://dx.doi.org/10.4156/jdcta.vol6.issue18.61.

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