Academic literature on the topic 'Mann-Kendall trend test'

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Journal articles on the topic "Mann-Kendall trend test"

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Rim, Chang-Soo. "Homogeneity of Climate Aridity Index Trends Using Mann-Kendall Trend Test." Journal of Korea Water Resources Association 47, no. 7 (July 31, 2014): 643–56. http://dx.doi.org/10.3741/jkwra.2014.47.7.643.

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Suryanto, Joko, and Joko Krisbiyantoro. "Trend Analysis of Rainfall Data in Magelang District Using Mann-Kendall Test and Modification Mann-Kendall Variation." AGRIFOR 17, no. 2 (October 11, 2018): 293. http://dx.doi.org/10.31293/af.v17i2.3616.

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The objective of the research was to analyzed rainfall trends from 6 rainfall stations Kajoran, Mendut, Muntilan, Ngablak, Salaman and Tempuran rainfall station in different time scales (monthly, 3-months periodicityand annual). Identification homogenity of the rainfall data period 1986-2016 for Magelang district using Rescaled Adjusted Partial Sums (RAPS) methode. The three non-parametric tests, Mann-Kendall (MK), modified Mann-Kendall (MMK), trend free prewhitening Mann-Kendall (TFPW-MK) and Sen’s slope wereemployed to assess significance of trends and detecting magnitude of trends.The results shows that monthly rainfall have no significant trend using MK, MMK, and TFPW-MK test at 0.05 level significance. Rainfall 3-month based January-February-March (JFM) period Kajoran station have negative significant trend with magnitude 19.4 mm/3-month. Mendut station have positive trend for April-May-June (AMJ) period with magnitude 6.75 mm/3-month. No significant trends at 0.05 level significance using MK trend test were detected in annual rainfall for 6 rainfall stations.
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Yagbasan, Ozlem, Vahdettin Demir, and Hasan Yazicigil. "Trend Analyses of Meteorological Variables and Lake Levels for Two Shallow Lakes in Central Turkey." Water 12, no. 2 (February 4, 2020): 414. http://dx.doi.org/10.3390/w12020414.

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Trend analyses of meteorological variables play an important role in assessing the long-term changes in water levels for sustainable management of shallow lakes that are extremely vulnerable to climatic variations. Lake Mogan and Lake Eymir are shallow lakes offering aesthetic, recreational, and ecological resources. Trend analyses of monthly water levels and meteorological variables affecting lake levels were done by the Mann-Kendall (MK), Modified Mann-Kendall (MMK), Sen Trend (ST), and Linear trend (LT) methods. Trend analyses of monthly lake levels for both lakes revealed an increasing trend with the Mann-Kendall, Linear, and Sen Trend tests. The Modified Mann-Kendall test results were statistically significant with an increasing trend for Eymir lake levels, but they were insignificant for Mogan lake due to the presence of autocorrelation. While trend analyses of meteorological variables by Sen Test were significant at all tested variables and confidence levels, Mann-Kendall, Modified Mann-Kendall, and Linear trend provided significant trends for only humidity and wind speed. The trend analyses of Sen Test gave increasing trends for temperature, wind speed, cloud cover, and precipitation; and decreasing trends for humidity, sunshine duration, and pan evaporation. These results show that increasing precipitation and decreasing pan evaporation resulted in increasing lake levels. The results further demonstrated an inverse relationship between the trends of air temperature and pan evaporation, pointing to an apparent “Evaporation Paradox”, also observed in other locations. However, the increased cloud cover happens to offset the effects of increased temperature and decreased humidity on pan evaporation. Thus, all relevant factors affecting pan evaporation should be considered to explain seemingly paradoxical observations.
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Alifujiang, Yilinuer, Jilili Abuduwaili, Balati Maihemuti, Bilal Emin, and Michael Groll. "Innovative Trend Analysis of Precipitation in the Lake Issyk-Kul Basin, Kyrgyzstan." Atmosphere 11, no. 4 (March 29, 2020): 332. http://dx.doi.org/10.3390/atmos11040332.

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The analysis of various characteristics and trends of precipitation is an essential task to improve the utilization of water resources. Lake Issyk-Kul basin is an upper alpine catchment, which is more susceptible to the effects of climate variability, and identifying rainfall variations has vital importance for water resource planning and management in the lake basin. The well-known approaches linear regression, Şen’s slope, Spearman’s rho, and Mann-Kendall trend tests are applied frequently to try to identify trend variations, especially in rainfall, in most literature around the world. Recently, a newly developed method of Şen-innovative trend analysis (ITA) provides some advantages of visual-graphical illustrations and the identification of trends, which is one of the main focuses in this article. This study obtained the monthly precipitation data (between 1951 and 2012) from three meteorological stations (Balykchy, Cholpon-Ata, and Kyzyl-Suu) surrounding the Lake Issyk-Kul, and investigated the trends of precipitation variability by applying the ITA method. For comparison purposes, the traditional Mann–Kendall trend test also used the same time series. The main results of this study include the following. (1) According to the Mann-Kendall trend test, the precipitation of all months at the Balykchy station showed a positive trend (except in January (Zc = −0.784) and July (Zc = 0.079)). At the Cholpon-Ata and Kyzyl-Suu stations, monthly precipitation (with the same month of multiple years averaged) indicated a decreasing trend in January, June, August, and November. At the monthly scale, significant increasing trends (Zc > Z0.10 = 1.645) were detected in February and October for three stations. (2) The ITA method indicated that the rising trends were seen in 16 out of 36 months at the three stations, while six months showed decreasing patterns for “high” monthly precipitation. According to the “low” monthly precipitations, 14 months had an increasing trend, and four months showed a decreasing trend. Through the application of the ITA method (January, March, and August at Balykchy; December at Cholpon-Ata; and July and December at Kyzyl-Suu), there were some significant increasing trends, but the Mann-Kendall test found no significant trends. The significant trend occupies 19.4% in the Mann-Kendall test and 36.1% in the ITA method, which indicates that the ITA method displays more positive significant trends than Mann–Kendall Zc. (3) Compared with the classical Mann-Kendall trend results, the ITA method has some advantages. This approach allows more detailed interpretations about trend detection, which has benefits for identifying hidden variation trends of precipitation and the graphical illustration of the trend variability of extreme events, such as “high” and “low” values of monthly precipitation. In contrast, these cannot be discovered by applying traditional methods.
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Hu, Maochuan, Takahiro Sayama, Sophal TRY, Kaoru Takara, and Kenji Tanaka. "Trend Analysis of Hydroclimatic Variables in the Kamo River Basin, Japan." Water 11, no. 9 (August 27, 2019): 1782. http://dx.doi.org/10.3390/w11091782.

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Understanding long-term trends in hydrological and climatic variables is of high significance for sustainable water resource management. This study focuses on the annual and seasonal trends in precipitation, temperature, potential evapotranspiration, and river discharge over the Kamo River basin from the hydrological years 1962 to 2017. Homogeneity was examined by Levene’s test. The Mann–Kendall and a modified Mann–Kendall test as well as Sen’s slope estimator were used to analyze significant trends (p < 0.05) in a time series with and without serial correlation and their magnitudes. The results indicate that potential evapotranspiration calculated by the Penman–Monteith equation was highly related to temperature, and significantly increased in the annual and summer series. Annual river discharge significantly decreased by 0.09 m3/s. No significant trend was found at the seasonal scale. Annual, autumn, and winter precipitation at Kumogahata station significantly increased, while no significant trend was found at Kyoto station. Precipitation was least affected by the modified Mann–Kendall test. Other variables were relatively highly autocorrelated. The modified Mann–Kendall test with a full autocorrelation structure improved the accuracy of trend analysis. Furthermore, this study provides information for decision makers to take proactive measures for sustainable water management.
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Kulkarni, Ashwini, and Hans von Storch. "Simulationsexperimente zur Wirkung serieller Korrelation auf den Mann-Kendall Trend test." Meteorologische Zeitschrift 4, no. 2 (December 15, 1992): 82–85. http://dx.doi.org/10.1127/metz/4/1992/82.

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Hamed, Khaled H., and A. Ramachandra Rao. "A modified Mann-Kendall trend test for autocorrelated data." Journal of Hydrology 204, no. 1-4 (January 1998): 182–96. http://dx.doi.org/10.1016/s0022-1694(97)00125-x.

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GANESH D. KALE. "Trend analyses of regional time series of temperatures and rainfall of the Tapi basin." Journal of Agrometeorology 22, no. 1 (November 6, 2021): 48–51. http://dx.doi.org/10.54386/jam.v22i1.121.

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Climate change information at the scale of basin is vital for planning, development and use of water. The Tapi basin is climatically responsive. Hydrological response of a basin is based mainly on rainfall and temperature. Variations in climate at regional scales impacts fundamental features of our life. Thus, in the present work, trend analyses of regional time series (1971-2004) of minimum, mean, maximum temperatures and rainfallis performed for monthly, annual and seasonal scales for the Tapi basin. Correlogram is utilized for evaluation of dependence of data. Mann-Kendall test and Mann-Kendall test with block bootstrapping are applied for the evaluation of trend significance. Sen’s slope test is applied for the evaluation of trend magnitude. Sequential Mann-Kendall test is applied for assessment of beginning and end of the trend. Statistically significant positive trends are detected in regional annual and winter Tmean time series with their beginning in years 1974 and 1972, respectively.
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Deka, Surobhi. "Statistical analysis of long-term rainfall trends in Cherrapunji, Meghalaya, India." Journal of Applied and Natural Science 13, no. 1 (February 25, 2021): 170–77. http://dx.doi.org/10.31018/jans.v13i1.2442.

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Rainfall is the key climatic variable that governs the regional hydrologic cycle and availability of water resources. Rainfall trend analysis in a localized watershed can improve many aspects of water resource management not only to the catchment itself but also to some of the related other catchments. The trend analysis of monthly rainfall data over Cherrapunji of Meghalaya in India for the period 1872-2007 has been carried out in this work. While the magnitude of the trend in the time series has been determined using Sen's estimator, the significance of the trend in monthly rainfall series has been tested using Mann-Kendall test. During the time span 1872-2007, an increasing trend has been found in the monthly rainfall for the months July, October and November, and a decreasing trend has been found in the monthly rainfall for the months February to June, August and September. On the other hand, it was found that none of Mann-Kendall Z values was significant at 5% level of significance. Therefore, from Mann-Kendall Z test, it can be concluded that there is no trend in any month in monthly rainfall for the station Cherrapunji. For the better assessment of the temporal variation in monthly rainfall trend, whole period was divided into two halves, 1872-1939 and 1940-2007. Then, trend magnitude through Sen's estimator and Mann-Kendall Z for test of significance were determined for these two time periods separately. The analysis of trends of monthly rainfall in these two halves showed large variability in the magnitude and direction of the trend in various months from one half to another. Accurate prediction of trends in monthly rainfall is an important aspect of climate research and we believe that present study could provide a scope to correlate between current rainfall trend and climate change scenario of the study area.
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Alhaji, U. U., A. S. Yusuf, C. O. Edet, Celestine O. Oche, and E. P. Agbo. "Trend Analysis of Temperature in Gombe State Using Mann Kendall Trend Test." Journal of Scientific Research and Reports 20, no. 3 (October 11, 2018): 1–9. http://dx.doi.org/10.9734/jsrr/2018/42029.

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Dissertations / Theses on the topic "Mann-Kendall trend test"

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Silva, Danilo José Brandão Vitor [UNESP]. "Variabilidade espaço-temporal da precipitação e vazão e suas consequências para a gestão dos recursos hídricos regionais." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/148712.

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Este trabalho analisou os parâmetros hidroclimatológicos, buscando encontrar o padrão de precipitação em uma abordagem espaço-temporal para a porção paulista da bacia do rio Paraíba do Sul, empregando o interpolador geoestatístico krigagem. Além disso, verificou a existência de tendência de precipitação e de vazão em séries históricas nesta mesma bacia, utilizando o teste estatístico de Mann-Kendall. Com relação a espacialização da precipitação, foi constatada uma significativa variação espacial para os períodos analisados (verão, outono, inverno e primavera). No verão, período de recarga dos reservatórios, foram registrados os menores índices de precipitação na área de contribuição das sub-bacias que abastecem os reservatórios do Paraibuna e do Jaguari, implicando em uma possível redução na vazão afluente. Não se constatou tendência de precipitação estatisticamente significativa em escala de tempo interanual para os postos pluviométricos, entretanto, foi identificada tendência de diminuição para o outono. Para os postos fluviométricos das sub-bacias do rio Paraibuna, do rio Paraitinga e do rio Jaguari-Buquira, em um período interanual, houve tendência de aumento de vazão para séries históricas de 1930 a 1970 e de diminuição para séries de 1930 a 2015. As estações de medição de vazão utilizadas foram aquelas localizadas a montante dos reservatórios, não estando submetidas assim ao efeito de regularização de vazão. A tendência de diminuição de vazão encontrada para a região pode levar a uma alteração na disponibilidade hídrica e a um possível impacto no abastecimento e na geração de energia.
This research analyzed the hydroclimatological parameters, seeking to find the precipitation pattern in a space-time approach for the São Paulo portion of the Paraíba do Sul river basin, using the geostatistical interpolator kriging. In addition, it verified the existence of precipitation and streamflow trends in historical series for the same basin, using the statistical test of Mann-Kendall. Regarding the precipitation pattern, a significant spatial variability was observed for the periods analyzed (summer, autumn, winter and spring). In the summer, reservoir recharge period, the lowest precipitation rates were recorded in the sub-basin contribution area that supply the Paraibuna and Jaguari reservoirs, implying a possible reduction in the inflow. There was no statistically significant precipitation trend in the interannual time scale for the pluviometric stations, however, a decrease trend was identified for the autumn. For fluviometric stations in the sub-basins of the Paraibuna, Paraitinga and Jaguari-Buquira rivers, in the interannual time scale, there was a trend towards an increase in streamflow for historical series from 1930 to 1970 and decrease for series from 1930 to 2015. The streamflow stations used were those located upstream of the reservoirs and were not subject to the effect of flow regulation. The downward trend in streamflow found in the region can lead to a change in water availability and a possible impact on the supply and energy generation.
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Colna, Kaitlyn E. "Latitudinal Position and Trends of the Intertropical Convergence Zone (ITCZ) and its Relationship with Upwelling in the Southern Caribbean Sea and Global Climate Indices." Thesis, University of South Florida, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10262701.

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The Intertropical Convergence Zone (ITCZ) is a feature that results from the ocean-atmosphere interactions in the tropics around the world. The ITCZ is characterized by surface wind convergence, tall storm clouds, and it forms a belt of high time-averaged precipitation around the globe. The ITCZ undergoes seasonal migrations between 5°S and 15°N roughly following the subsolar point on Earth with the seasons, with a mean annual position located slightly above the Equator, between 2° and 5°N.

This study tested the hypothesis that there was a northward shift in the median position of the ITCZ in the first decade of the 2000’s relative to the 1900’s. This hypothesis has been posed in the literature given a weakening in the intensity of the Trade Winds observed in the southern Caribbean Sea during the first decade of the 2000’s, with concomitant ecological impacts due to weakening in coastal wind-driven upwelling. The hypothesis was tested by analyzing variations in the monthly latitudinal position of the ITCZ over the Atlantic Ocean relative to the median position computed for the period 1987–2011. The position of the ITCZ was derived from satellite-derived ocean surface wind measurements collected from 1987 to 2011. A Mann-Kendall analysis and a Monte Carlo simulation were used to test for trends in the median cross-basin latitudinal position of the ITCZ. The study included an analysis of regional changes across the tropical central Atlantic (50°W to 15°W), the Western Atlantic (50°W to 30°W), and the Eastern Atlantic (30°W to 15°W) within the tropics. The results show a slight southward trend in the median position of the ITCZ over the central Atlantic and also in the Eastern Atlantic in the first decade of the 2000’s relative to the 1990’s. While this trend is barely significant, it is likely simply due to interannual variation in the average annual position of the ITCZ.

The data were also examined for the timing and persistence of a double ITCZ in the Atlantic. The double ITCZ over the Atlantic appeared every year in February or March, with the largest separation between the northern and southern branches of the ITCZ observed in June and July.

The possible effects of changes in the average latitudinal position of the ITCZ on the upwelling in the Cariaco Basin (southeastern Caribbean Sea off Venezuela) were also examined. Anomalies of the median of the latitudinal position of the ITCZ in the Atlantic were compared with anomalies of in-situ temperature collected during the 1990’s and the first decade of the 2000’s by the CARIACO Ocean Time-Series program and with anomalies of satellite SST (from the Advanced Very High Resolution Radiometer satellite; AVHRR) from 1995 to 2016. Correlation analysis were performed between anomalies of water temperatures at various depths and anomalies of satellite SST with anomalies of the monthly mean ITCZ position with lags up to 3 months for the time series, and also just for the Cariaco basin upwelling months (December-April).

For the whole Cariaco time series there were no significant correlations between the anomalies of the ITCZ position and anomalies in subsurface temperatures in the Cariaco Basin. However, during the upwelling period, the central Atlantic and Western Atlantic ITCZ position anomalies were directly correlated with Cariaco Basin temperature anomalies with no-lag (r = 0.20), and the central and Eastern Atlantic ITCZ position anomalies were inversely correlated with Cariaco Basin temperatures (r ~ -0.22 to -0.28) with ITCZ leading Cariaco temperatures by 3 months. However, these correlations were low, indicating that other factors than the position of ITCZ latitudinal position play bigger role on the Cariaco basin upwelling variability.

Interannual variability in oceanographic and meteorological characteristics of the Atlantic Ocean are expected as a result of large-scale changes in other regions of the world, including due to changes such as the El Niño Southern Oscillation (ENSO) and the Atlantic Multidecadal Oscillation (AMO). Six oceanic-atmospheric variables are used to monitor ENSO over the tropical Pacific, while the AMO is determined by monitoring SST over the Atlantic. Correlations with lags of up to ± 6 months were conducted with those climate indices and the anomalies of the median monthly latitudinal position of the ITCZ. Significant direct correlations with ENSO (Multivariate ENSO Index) were seen in the Atlantic and Western Atlantic (r = 0.15), with ENSO leading the position of the ITCZ anomalies by 3 months. This implies that within three months after an El Niño event (warm ENSO anomaly in the Pacific) the ITCZ over the mid-Atlantic and Western Atlantic Ocean tends to shift to a more northerly position. The AMO also had a direct influence on the anomalies of the ITCZ position (r = 0.13) in the Central and the Western Atlantic, with the AMO leading ITCZ anomalies by 1 month (i.e. a warming of the North Atlantic led to a northward shift in the ITCZ one month later). Correlations between AMO and the ITCZ anomalies in the Eastern Atlantic were also direct but with no lag. Although significant, these correlations were low.

An inverse correlation (~ -0.35) was found between ENSO and anomalies of water temperature of the Cariaco Basin. ENSO lagged ocean temperature anomalies by 3 to 4 months for both the whole Cariaco time series and for the upwelling months of CARIACO data. Correlations with AMO were direct (~ 0.4); for the whole time series AMO led Cariaco temperature anomalies by 3 months, but for the upwelling months AMO lagged Cariaco temperature anomalies by one month.

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Kharel, Usha. "Analysis of Stream Runoff Trends in the Blue Ridge and Piedmont of Southeastern United States." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/geosciences_theses/15.

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The purpose of the study was to examine the temporal trends of three monthly variables: stream runoff, rainfall and air temperature and to find out if any correlation exists between rainfall and stream runoff in the Blue Ridge and Piedmont provinces of the southeast United States. Trend significance was determined using the non-parametric Mann-Kendall test on a monthly and annual basis. GIS analysis was used to find and integrate the urban and non-urban stream gauging, rainfall and temperature stations in the study area. The Mann-Kendall test showed a statistically insignificant temporal trend for all three variables. The correlation of 0.4 was observed for runoff and rainfall, which showed that these two parameters are moderately correlated.
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Lin, Shu-Hui, and 林淑慧. "Using Geostatistical and Mann-Kendall Trend Test to Explain Spatial-Temporal Distribution of Caprimulgus Affinis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/31536082729739867753.

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碩士
環球科技大學
觀光與生態旅遊系環境資源管理碩士班
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The Taiwan’s savanna nightjar (Caprimulgus affinis) is a resident species of nightjars, commonly known as Forest Nighthawk, or as the South Asian Nighthawk. In recent years, its territory has gradually moved from the upstream river and mountain areas into the metropolitan areas. As active nocturnal birds, their distinctive but persistently loud calls at night are not only considered disruptive to human sleep but also affected children’s concentration as well as disturbed people’s living. Therefore, adopting Logistic regression, Mann-Kendall trend test and Geostatistical methods to create an analysis model, this study aimed to gauge the size and the location of the species’ territory by analyzing observations made by the Nighthawk surveys conducted by Chinese Wild Bird Federation and individual research findings of recent years. The results indicated a positive correlation (P <0.05) between the species habitats and the growth of human population, a positive correlation (P<0.001) between habitats and coastal proximity, and to the main upstream river distance, but a negative correlation (P <0.05) to elevation. Geostatistical analysis showed that Taiwan’s savanna nightjar currently claimed territory in Taiwan’s central and southern plains, including the Lanyang Plain. Spatial analysis showed increasing sightings of the species in the central regions, Ilan and Taitung in comparison to a decrease in sightings in the northern regions and Pentung areas.
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MATHUR, SHIVANG. "TREND ANALYSIS OF PRECIPITATION & TEMPERATURE PATTERN FOR KONKAN DIVISION OF MAHARASHTRA, INDIA." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19727.

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The significant objective of the present study is to examine trends in rainfall and temperatures in all seven districts of the state of Maharashtra. Maharashtra is an Indian state along the western coast of the sea. This study examined seasonal and annual precipitation trends, minimum and maximum temperature and their fluctuations in the Konkar division of state from 1981-2020 (41 years) in terms of spatial and temporal homogeneity .The vulnerabilities were examined and analysed using mathematical and statistical trend analysis techniques such as the Mann–Kendall test and Sen’s slope estimator .There are increasing trends in some months based on precipitation and temperature, and no trends for some months based on temperature and precipitation for all seven districts in Maharashtra .Over the course of 41 years, the research has found a considerable increase in both seasonal and annual rainfall.
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Fiala, Ondřej. "Změny srážko-odtokového režimu v oblasti Šumavy." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-369389.

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CHANGES OF RAINFALL-RUNOFF REGIME IN THE ŠUMAVA / BOHEMIAN FOREST REGION Abstract: The goal of this thesis is the evaluation of changes in rainfall-runoff regime in the Šumava region from time and spacial point of view. The thesis includes research and applied part. The research part is dedicated to the methods of evaluation of runoff changes and their possible causes in the Šumava region. In the applied part there is an analysis of precipitaion - runoff regime for long-term time series of average annual and monthly discharges and also annual and monthly precipitations for selected gauging stations in Czech, German and Austrian part of Šumava using absolute and relative homogenity tests and Mann - Kendall test for long-term trend. The results of this thesis showed significant changes in rainfall and runoff seasonality. One of the main aims of this thesis is the identification of possible orographical effect or the difference between windward and leeward part of Šumava. In conclusion the achieved results are evaluated, discussed and compared with subject publications. Key words: absolute homogeneity, land-use, Mann - Kendall test, runoff, basin, discharge, relative homogeneity, season,precipitation, trend, Šumava
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Fiala, Ondřej. "Změny srážko-odtokového režimu v oblasti Šumavy." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-340347.

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CHANGES OF RAINFALL-RUNOFF REGIME IN THE ŠUMAVA / BOHEMIAN FOREST REGION Abstract: The goal of this thesis is the evaluation of changes in rainfall-runoff regime in the Šumava region from time and spacial point of view. The thesis includes research and applied part. The research part is dedicated to the methods of evaluation of runoff changes and their possible causes in the Šumava region. In the applied part there is an analysis of precipitaion - runoff regime for long-term time series of average annual and monthly discharges and also annual and monthly precipitations for selected gauging stations in Czech, German and Austrian part of Šumava using absolute and relative homogenity tests and Mann - Kendall test for long-term trend. One of the main aims of this thesis is the identification of possible orographical effect or the difference between windward and leeward part of Šumava. In conclusion the achieved results are evaluated, discussed and compared with subject publications. Key words: absolute homogenity, Mann - Kendall test, runoff, discharge, relative homogenity, precipitation, trend, Šumava, changes
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Jedličková, Šárka. "Vývoj odtoku vody ve vybraných povodích Kyrgyzského hřbetu, Ťan-Šan." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-397071.

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The main objective of this paper was to investigate runoff changes in the catchment Ala-Arca, Alamaedin and Kara-Balta in Kyrgyzstan, as well as change in climate conditions from available stations in the area. The runoff, precipitation, and temperature series were subjected to monthly, seasonal and annual analyses based on available data. Both absolute and relative data homogeneity were verified using statistical tests such as the Mann-Whitney-Pettit test, the SNHT test, and the WiIlcoxon's two- sample test for absolute homogeneity, and the Alexandersson's test for relative homogeneity. The Mann-Kendall test was used to determine the trend in each serie. There were inhomogeneities found in a number of runoff data. In most cases, the changes of rivers Ala-Arca and Kara-Balta were recorded in 1987. Compare to Ala-Arca and Kara-Balta, the changes of river Alamedin were recorded 3 years later, in 1990. There was a positive trend development by the rivers with the glacial-snow regime. However, there was no statistically significant trend for the entire time series. Key words: runoff change, precipitation, temperature, glacial-snow regime, snow-glacial regime, homogenization, Mann-Whitney-Pettit test, trend, Mann-Kendall test, glaciation, Kyrgyzstan, Tien- Shan
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JIRKOVSKÁ, Veronika. "Analýza koncentrací živin ve vodách a jejich odnosů z vybraného povodí." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-174207.

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The aim of this study was to analyze the presence of the trend of long-term time series of concentrations and losses of nutrients and their descriptions. The concentrations of nitrogen and phosphorus compounds were evaluated. The analysis was performed on selected catchment of large, medium and small areas. All observed catchment are located in the basin of dam Švihov. Trends were tested using non parametric methods - Mann-Kendall test, Seasonal Mann-Kendall test and Kendall's correlation coefficient . In this study there are generally described monitored cycles of nutrients, nitrogen and phosphorous. There are also characterized the factors, which effect leaching of these nutrients to water (from the catchment). The paper also outlines the progression of water quality in the Czech Republic, which was influenced by political and economic changes in Europe in the second half of the 20th century.
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Book chapters on the topic "Mann-Kendall trend test"

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Malakar, Sourav, Saptarsi Goswami, and Amlan Chakrabarti. "An Online Trend Detection Strategy for Twitter Using Mann–Kendall Non-parametric Test." In Lecture Notes in Networks and Systems, 185–93. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3953-9_18.

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Basarir, Aydin, Hasan Arman, Saber Hussein, Ahmed Murad, Ala Aldahan, and M. Abdulla Al-Abri. "Trend Detection in Annual Temperature and Precipitation Using Mann–Kendall Test—A Case Study to Assess Climate Change in Abu Dhabi, United Arab Emirates." In Lecture Notes in Civil Engineering, 3–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-64349-6_1.

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Zhang, Y., P. Cabilio, and K. Nadeem. "Improved Seasonal Mann–Kendall Tests for Trend Analysis in Water Resources Time Series." In Advances in Time Series Methods and Applications, 215–29. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6568-7_10.

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Gedefaw, Mohammed. "Trends of Climate Variability over Two Different Eco-Regions of Ethiopia." In Global Warming - A Concerning Component of Climate Change [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.1001819.

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This topic mainly focuses on the climate trends of two eco regions, which represents the whole part of Ethiopia based on climate variations. Ethiopia. Mann Kendall test, Sen’s slope estimator test and Innovative trend analysis methods were used to detect precipitation and temperature trends. The observed historical meteorological data from 1980-2016 were used to analyze the trends in this study.The finding of this study showed that, the trends of precipitation was statistically significant positive trend in highland eco-regions.The consistency in precipitation and temperature trends over two Eco-Regions of Ethiopia confirms the robustness of the change in the trends.
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Kumar, Utkarsh, Rashmi, Dhirendra Kumar Singh, Suresh Chandra Panday, Manoj Parihar, Jaideep Kumar Bisht, and Lakshmi Kant. "Trend Analysis of Streamflow and Rainfall in the Kosi River Basin of Mid-Himalaya of Kumaon Region, Uttarakhand." In River Basin Management - Under a Changing Climate [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107920.

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Due to climate change phenomenon and substantial decrease in water resources, analyzing the streamflow trend is of significant importance. In the present study, investigation was carried out to find rainfall and streamflow trends in the Kosi river watershed at different timescales from 1986 to 2016. Kosi river is one of the principal rivers in the Kumaon region. The different methods employed for trend detection of streamflow and rainfall were the Mann–Kendall (MK) test and the Sen’s slope (SS) estimator. Results showed a statistically significant decreasing trend in pre-monsoonal and annual rainfall with a Sen’s slope of -2.27 and -1.49 mm/year, respectively. The decreasing trends in pre-monsoon, post-monsoon, and winter streamflow were found during 1986–2016, which were not statistically significant. The results of the study help in understanding the variation and availability of rainfall and streamflow in different seasons of the year and motivate to adopt effective water management and agricultural practices for rainfed hills.
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Alberto Sabattini, Julian, and Rafael Alberto Sabattini. "Rainfall Trends in Humid Temperate Climate in South America: Possible Effects in Ecosystems of Espinal Ecoregion." In Global Warming and Climate Change [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99080.

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In central Argentina, the annual rainfall regime shows increasing since the 2nd half of the 20th century. The aim of this work was to evaluate the long-term changes in the intensity of rainfall in the central-north region of Entre Ríos between 1945 and 2019, based only on daily precipitation records aggregated at yearly, monthly and seasonal levels. We used monthly rainfall data for the period 1945–2019 from 6 localities in Province of Entre Rios, Argentina. The change detection analysis has been conceded using Pettitt’s test, von Neumann ratio test, Buishand’s range test and standard normal homogeneity (SNH) test, while non-parametric tests including linear regression, Mann-Kendall and Spearman rho tests have been applied for trend analysis. Like the regional results, this study observed a sustained increase in monthly rainfall to the breaking point in the 1970s, but then the annual rate of increase was even higher. The average annual rainfall in the region prior to that date was 946 mm, while after the same 1150 mm, equivalent to 21.5% higher than the 1945–1977 average and 8.5% higher according to the historical average 1945–2019.
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Dhanya, P., A. Ramachandran, and K. Palanivelu. "Threats to Sustainability of Land Resources Due to Aridity and Climate Change in the North East Agro Climatic Zone of Tamil Nadu, South India." In Sustainability Studies: Environmental and Energy Management, 199–219. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815039924122010013.

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Focusing on the erstwhile Chengalpattu district, north-east agro-climatic zone of Tamil Nadu region, this research aimed to assess the changes in spatio.temporal patterns and trends of the extreme climatic events and aridity conditions during the period 1971-2000. The trend analysis of the observed climatic parameters was carried out using R software and Mann-Kendall non-parametric test. A statistically significant increasing trend was noted in the warm spell duration (wsdi) and heavy rainfall events (r20mm). The results revealed that Aridity Index (AI) has significant negative trends in northeast monsoon and winter seasons, indicating dryness, and positive trends in southwest monsoon seasons, indicating wet climate. The trends in MI were found to be mostly negative during the southwest monsoon season. The results of the trend analysis in PET revealed a significant increase annually and seasonally. Overall, spatial analysis characterized the western parts as semi-arid, whereas a dry sub-humid climate prevails in the eastern parts, covering the coastal areas. As per the outcome, there may be escalations of 19.5 to 25.7% in PE in the study area. Parts of Kancheepuram, Sriperumbudur, Chengalpattu, Thirukazhikundram, Maduranthakam, and the whole of Uthiramerur blocks are going to be severely impacted due to the rise of PE. This may further trigger an escalation of aridity processes in the future and pose threats to the sustainability of land resources.
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Sun, Lingkai, and Zichen Hu. "Nonstationary Characteristics of Precipitation and Flood Response Under Changing Environment in Taihu Basin, China." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220326.

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Change of the environment, namely climate change and human activities, is influencing hydrological cycles globally. Nonstationary changes have been widely detected in precipitation series, which has significantly increased the flood risk in various areas. Taking Taihu Basin as the typical study area, the nonstationary characteristics of precipitation are analyzed through the Mann-Kendall trend test, Pettitt abrupt change test, Sen’s slope estimator and Seasonality Index in this study. Spatial distributed daily precipitation data during 1979–2017 is used. An 1D-2D coupling hydrodynamic model is built by MIKE Zero to simulate the change of flood risk under the nonstationarity of precipitation. According to the results of statistical analysis, the precipitation of Taihu Basin shows increasing trends in various temporal and spatial scales. Especially, the torrential rain and extreme precipitation, which are the main cause of flood disasters of the basin, are increasing significantly especially in highly urbanized areas such as Shanghai city. According to simulation results, the increase of flood risk shows high correlation with the nonstationary change of precipitation. The results indicate a great impact of climate change and urbanization on the regional flood risk, which must be well solved during social and economic sustainable development.
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Chen, Xieling, Di Zou, Haoran Xie, and Gary Cheng. "Socialization in language learning: Topic modeling and bibliometric analysis." In Smart CALL: Personalization, Contextualization, & Socialization, 151–83. Castledown Publishers, 2022. http://dx.doi.org/10.29140/9781914291012-8.

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This study identifies research status, trends, and topics within the field of socialization in language learning using a topic-based bibliometric methodology combining structural topic modeling, the Mann-Kendall trend test, and keyword analysis with bibliometric indicators. Based on relevant literature on socialization in language learning from the Web of Science database, we focused on answering questions such as “what technologies have been adopted to facilitate socialization in language learning?” and “what research topics have been investigated by scholars?” to understand where the research field has been and where it is going. Because traditional manual coding and systematic reviews are prone to error and coding inconsistency when evaluating limited literature data, we integrated rigorous machine learning algorithms and statistical tests, using a topic-based bibliometric methodology. Such a methodology is smarter because it allows time-honored bibliometrics to mine large volumes of literature data enabling a comprehensive understanding of diverse aspects of socialization in language learning. These include the top contributors (e.g., journals, subjects, countries/regions, and institutions), research topics and the dynamics of interest in topics. Results derived from our smart analysis provide insights into effective ways to advance smart computer-assisted language learning from a socialization perspective through scientific collaborations and the effective adoption of innovative technologies and analytical techniques.
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Rangeti, Innocent, and Bloodless (Rimuka) Dzwairo. "uMngeni Basin Water Quality Trend Analysis for River Health and Treatability Fitness." In River Basin Management - Sustainability Issues and Planning Strategies. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94844.

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One of the main challenges facing the potable water production industry is deterioration of the quality of raw water. Drinking water that does not meet quality standards is unfit for consumption. Yet, this quality is a function of various factors, key among them being quality of the raw water from which it is processed. This is because costs related to potable water treatment are related to the nature of raw water pollutants and the degree of pollution. Additionally, survival of aquatic species depends on self-purification of the water bodies through attenuation of pollutants, therefore, if this process is not efficient it might result in dwindling of the aquatic life. Hence, this chapter presents spatial and temporal water quality trends along uMngeni Basin, a critical raw water source for KwaZulu-Natal Province, in South Africa. As at 2014 the basin served about 3.8 million people with potable water. Results from this study are discussed in relation to uMngeni River’s health status and fitness for production of potable water treatment. Time-series and box plots of 11 water quality variables that were monitored at six stations over a period of eight years (2005 to 2012), were drawn and analysed. The Mann Kendall Trend Test and the Sen’s Slope Estimator were employed to test and quantify the magnitude of the quality trends, respectively. Findings showed that raw water (untreated) along uMngeni River was unfit for drinking purposes mainly because of high levels of Escherichia coli. However, the observed monthly average dissolved oxygen of 7 mg/L, that was observed on all stations, suggests that the raw water still met acceptable guidelines for freshwater ecosystems. It was noted that algae and turbidity levels peaked during the wet season (November to April), and these values directly relate to chlorine and polymer dosages during potable water treatment.
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Conference papers on the topic "Mann-Kendall trend test"

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KAYA, Yunus Ziya, Fatih ÜNEŞ, Mustafa DEMIRCI, and Hakan VARÇİN. "Investigation of Precipitation Trend in Regional Scale Based on the Statistical Approach." In Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_18.

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In recent years, hydrological trend analysis had become very popular due to global warming and climate change issues. Knowledge of the trend changes of hydrological series helps designers, engineers, and plan makers about future projections of all water related problems such as irrigation systems, water distribution systems, etc. Statistical approaches are historically very crucial for determining the trend. In this study, authors focused on determining total precipitation trend change monthly, seasonally, and annually on a regional scale. Non-parametric Mann Kendall test, Spearman’s Rho test, and Sen's Slope test are used for the determination of the precipitation trend. Additionally, the total annual precipitation trend is investigated with the linear regression trend analysis method. Detailed results of each method are shared separately.
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Perera, Helani, Miyuru Gunathilake, and Upaka Rathnayake. "Satellite Rainfall Products for analysis of Rainfall trends for Mahaweli River Basin." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/zzug8067.

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The presence of accurate and spatiotemporal data is of utmost importance in hydrological studies for river basins. However, limited ground-measured rainfall data restrict the accuracy of these analyses. Data scarcities can often be seen not only in many developing countries but also in the developed world. Therefore, much attention is given to alternative techniques to accomplish the data requirement. Precipitation data extraction from satellite precipitation products is one of the frequently used techniques in the absence of ground-measured rainfall data. The Mahaweli River Basin (MRB) is the largest river basin in Sri Lanka and it covers 1/6th of the total land area of the country. Mahaweli River is the heart of the country and the water of it is being used for many activities, including hydropower development, water supply, irrigation, etc. Therefore, analyzing rainfall trends of MRB is interesting and worthwhile for many stakeholders of the river basin. Therefore, this research investigates the suitability of Satellite Rainfall Products (SRP’s) as an alternative for Rain Gauge measured data in the MRB by performing trend analysis between the two datasets. Six precipitation products, namely PERSIANN, PERSIANNCCS, PERSIANN-CDR, GPM IMERG V06, TRMM-3B42 V7, TRMM-3B42RT V7 were extracted for 10-35 years for 14 locations of the MRB spatially distributed in the three climatic zones of the catchment. Non-parametric tests, including the Mann-Kendall test and Sen’s slope estimator tests, were used to detect the possible rainfall trends in precipitation products. Significant increasing trends were observed for both ground-measured and SRP’s in the annual scale while mixed results were observed in monthly and seasonal scales. The trends from ground-measured rainfall and SRP’s were compared and the suitability of SRP’s as an alternative technique was stated. KEYWORDS: ground-measured rainfall data, Mahaweli River Basin, rainfall trends, satellite precipitation products, PERSIANN, IMERG, TRMM
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Amarasinghe, H. G. K. H., and B. M. L. A. Basnayake. "Spatial Patterns and Temporal Trends of Rainfall Seasonality in Sri Lanka." In The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/qrsp2741.

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Understanding and knowledge of rainfall variability is necessitated for agricultural planning, flood mitigation activities, and water resources planning and management. Like other rainfall characteristics seasonality of rainfall is also spatio-temporally specific which has not been evaluated to Sri Lanka. In this study, seasonality in rainfall over Sri Lanka was analyzed using the seasonality index (SI) proposed by Walsh and Lawler. Rainfall data at 39 raingauge stations for the period 1988-2017 were collected to obtain the annual monthly rainfall cycles. The SI, a measure of annual rainfall distribution, was used to identify different rainfall regimes. Southwest and central highlands covering the stations Baddegama, Pelawatte, Kudawa, Deniyaya, Mawarella, Mapalana and Beausejour (lower) were identified as “equable with a definite wetter season”. Skirting to the definite wetter season was the “rather seasonal with a short drier season” regime surrounding the Colombo, Ratmalana, Nuwara Eliya, and Bandarawela. The region centered on Mannar received the most rain in three months or less. Markedly seasonal with a long drier season is in the eastern extending from Pottuvil to Trincomalee and in the northern part of the country above Puttalam and Maha Illuppallama except the surrounding of Mannar. Intermediate region to SI classes “rather seasonal with a short drier season” and “markedly seasonal with a long drier season” was designated as “seasonal”. However, the seasonal rainfall contribution, i.e., in NEM (Dec.-Feb.), IM1 (March-April), SWM (May-Sep.), and IM2 (Oct.-Nov.), and the annual monthly rainfall profiles confirmed the presence of sub-regimes within the identified rainfall regimes. Non-parametric Mann-Kendall test and Sen’s slope were applied to identify the temporal changes in SI. Approximately, half of the country showed strong trends in the SI. Sixty one percent of the area including the northern part of the country surrounding Jaffna and the definite wetter region in the southern corresponds to the decreasing trend in seasonality. KEYWORDS: Intra-annual variation, rainfall regimes, rainfall variability, seasonality index, Sri Lanka, trend analysis.
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Curiac, Christian-Daniel, and Mihai Micea. "Evaluating Research Trends Using Key Term Occurrences and Multivariate Mann-Kendall Test." In 2022 International Symposium on Electronics and Telecommunications (ISETC). IEEE, 2022. http://dx.doi.org/10.1109/isetc56213.2022.10010222.

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He, Miao, Chandramouli Viswanathan, and Bipin Pai. "Analyzing the Trends of Monthly Great Lakes Water Levels Using Modified Mann Kendall Test." In World Environmental and Water Resources Congress 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.089.

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Deasy Nalley, Jan Adamowski, Bahaa Khalil, and Bogdan Ozga-Zielinski. "Utilizing Wavelet Transforms and the Mann-Kendall Test to Assess Trends in Surface Air Temperature over Southern Ontario and Québec." In 2013 Kansas City, Missouri, July 21 - July 24, 2013. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2013. http://dx.doi.org/10.13031/aim.20131620536.

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KAYA, Yunus Ziya, Mustafa DEMİRCİ, Hakan VARÇİN, and Evren TURHAN. "Monthly Trend Investıgatıon of the Dıscharge of a Stream in Cache County. Utah." In Air and Water – Components of the Environment 2023 Conference Proceedings. Casa Cărţii de Ştiinţă, 2023. http://dx.doi.org/10.24193/awc2023_09.

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Discharge values of streams are critical for planning the water resources of basins. Discharge values of streams may change due to many reasons such as climatological effects or human-related issues. It is essential to make estimations about the discharge values’ trends for more feasible constructions on streams. In this study, discharge monitoring station records of USGS were used to determine the trends over 50 years. The data set is belonging to the Logan River Above State Dam, Near Logan. UT station and it starts in 1971 and ends in 2020. Traditional Mann Kendall Spearman’s Rho and Sen’s slope statistical tests were used to determine the monthly trends. Additionally, a yearly investigation was performed by using the same statistical approaches. According to the obtained results, any significant trends were not detected in the yearly evaluation. However, in the monthly evaluation trends were detected for August and September.
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RUDZIANSKAITĖ, Aurelija. "LONG-TERM GROUNDWATER REGIME TRENDS IN THE AGRICULTURAL AREAS." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.107.

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Long-term data on hydrological regime change of the groundwater situated in moraine sandy loam and peat in Lithuanian karst zone presented in the article. The aim of the paper was on the basis of long-term groundwater studies to determine the water level trends. Groundwater level fluctuations mainly dependent on the ground type. The nearest land surface groundwater level (61-174 cm) was measured in peat soil (well 1), in mineral soil (well 2) was deeper (309-584 cm). Correlation between data of the annual precipitation and groundwater level in mineral soils (r2 = 0.416, tact .= 3.48>t95%=1.74) was more significant than in peat soils (r2 = 0.185, tact.=1.96 >t95%=1.74). The highest fluctuations of groundwater level was determined in mineral soil (well 2). According to Mann-Kendall test, the groundwater level significantly increased in February, April and December. Due to warmer winters decreased the duration and depth of the frost, frequent thaw, this cause increased feeding of aquifer in winter.
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Ng, Cia Yik, Wan Zurina Wan Jaafar, Faridah Othman, Sai Hin Lai, Yiwen Mei, and Juneng Liew. "Evaluation of Drought Conditions in Peninsular Malaysia during 1989-2018 using SPI and EDDI." In International Technical Postgraduate Conference 2022. AIJR Publisher, 2022. http://dx.doi.org/10.21467/proceedings.141.1.

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Droughts are constantly threatening the global water availability and food securities worldwide. This study aims to evaluate the short- and long-term (1-, 6- and 12-month) drought conditions in Peninsular Malaysia during 1989-2018 using Standardized Precipitation Index and Evaporative Demand Drought Index. Historical trends of drought conditions were analyzed using modified Mann-Kendall test. Spearman’s ρ approach was also applied to examine the spatial patterns of correlations between these drought indices. Based on the findings, Evaporative Demand Drought Index shows increasing tendency towards drier conditions in the northern half of Peninsular Malaysia, but opposite trends are observed for Standardized Precipitation Index. The time series of Evaporative Demand Drought Index are generally well-correlated to that of Standardized Precipitation Index at all three timescales for the whole study area, except for the northern region. The evidence presented suggests Evaporative Demand Drought Index is a great alternative for drought monitoring applications in Peninsular Malaysia.
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PETRESCU, Laura Elena. "The Evolution of the Maximum Extreme Temperatures in the Area of the Romanian Black Sea Coast During 1961 – 2020." In Air and Water – Components of the Environment 2023 Conference Proceedings. Casa Cărţii de Ştiinţă, 2023. http://dx.doi.org/10.24193/awc2023_16.

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The present study investigates the trends in the monthly, seasonal and annual regime of maximum temperatures in the Romanian Black Sea coast area over the last 60 years (1961-2020), using the monthly and annual maximum temperature data provided by five meteorological stations (i.e. Sulina, Sf. Gheorghe-Delta, Gura Portiței, Constanța, Mangalia). Three CLIMPACT extreme temperature indices (i.e. monthly and the annual average of maximum temperatures - TXm, the lowest monthly and annual value of the maximum temperature -TXn, and the highest monthly and annual value of the maximum temperature -TXx) and trends analysis methods (i.e. Mann-Kendall test, Sen’s slope estimator) have been used in the study. The targeted region is under a visible and generalized warming, especially in winter and summer. The estimated warming trends are among the highest at national level. At some stations (i.e. Sulina) spring also emerges as a significant warming season. The highest warming rate is up to 5°C (e.g. Constanța). The observed trends could contribute to an improved understanding for urging adaptation actions in some key sensitive economic sectors directly affected by the recent climate warming (e.g. health, tourism, transport, biodiversity).
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