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

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Rim, Chang-Soo. "Homogeneity of Climate Aridity Index Trends Using Mann-Kendall Trend Test." Journal of Korea Water Resources Association 47, no. 7 (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 (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 resul

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Medeo Wangshimenla Jamir, Zaleto. "Rainfall Trend Analysis of Nagaland by using Mann - Kendall Test." International Journal of Science and Research (IJSR) 12, no. 3 (2023): 917–21. http://dx.doi.org/10.21275/sr23311124753.

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4

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 (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 tre

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5

Swarnalatha, P., R. Srinivas, Yamini Leela A., et al. "Long Term and Seasonal Rainfall Trend in Bapatla District of Andhra Pradesh Using Advanced Statistical Methods." International Journal of Environment and Climate Change 13, no. 11 (2023): 3566–77. http://dx.doi.org/10.9734/ijecc/2023/v13i113532.

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The primary objective of this study is to analyse the annual and seasonal rainfall trends in the Bapatla district of Andhra Pradesh over the long term. The seasonal rainfall data for Bapatla district was collected from the NASA Power website and covering the period from January 1982 to December 2021. To gain insights into the patterns present in the rainfall data for Bapatla district, a combination of parametric methods, including linear regression, and non-parametric tests such as the Mann-Kendall test, Sen’s slope test, Modified-Mann Kendall test, Innovative trend analysis were employed in t

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6

Ch, Preethi, Meena A, Rathod S, and Balaji naik B. "Trend Analysis of Rainfall in Mahabubnagar District of Telangana State, India." International Journal of Environment and Climate Change 14, no. 8 (2024): 502–10. http://dx.doi.org/10.9734/ijecc/2024/v14i84370.

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This study aimed to analyze the trend analysis of long-term monthly, seasonal and annual rainfall patterns in Mahabubnagar district, Telangana state. Monthly rainfall data from January 1980 to December 2023 was collected from the IMD website. The linear regression trend line and non-parametric tests, such as the Mann-Kendall test, Modified Mann-Kendall test and Innovative Trend Analysis tests were used to understand the trends in the rainfall data. The Wallis and Moore test was applied to assess the randomness of the rainfall data. The linear regression trend method revealed both increasing an

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Laasya, Kona Naga Venkata Lakshmi, Supriya Kallakuri, Santosha Rathod, Lakshmi Neelima, Admala Meena, and Bellamkonda Jyostna. "Statistical Assessment of Temperature Trends and Change Points in Telangana State, India." International Journal of Environment and Climate Change 14, no. 4 (2024): 397–407. http://dx.doi.org/10.9734/ijecc/2024/v14i44126.

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Aim: This study aimed to analyse the trends and changes in long-term monthly and annual temperature patterns in Telangana state, India. For this study monthly temperature data of Telangana state from January 1960 to December 2022 was collected from the IMD website. The linear regression trend line and the non-parametric tests, such as Mann-Kendall test, Modified-Mann Kendall test and Innovative trend analysis tests, were used to understand the trend present in the temperature data of Telangana state. To gain insights into temperature pattern, we applied Pettit's test. This test helps identify

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8

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 (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. Rece

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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 (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 re

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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 (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-Ken

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11

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

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12

Kulkarni, Ashwini, and Hans von Storch. "Simulationsexperimente zur Wirkung serieller Korrelation auf den Mann-Kendall Trend test." Meteorologische Zeitschrift 4, no. 2 (1992): 82–85. http://dx.doi.org/10.1127/metz/4/1992/82.

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13

Deka, Surobhi. "Statistical analysis of long-term rainfall trends in Cherrapunji, Meghalaya, India." Journal of Applied and Natural Science 13, no. 1 (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 h

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14

Long, Xun Jian, Chun Min Zhang, Tao Hong Yang, and Yu Lin Huang. "Analysis of Meteorological Elements Variations of Chongqing over the Past 60 Years." Applied Mechanics and Materials 501-504 (January 2014): 2016–19. http://dx.doi.org/10.4028/www.scientific.net/amm.501-504.2016.

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The power of a test is the probability that it cannot reject a null hypothesis when it is true. With interchangeably of non-parametric Mann-Kendall test, practical application is used in meteorological elements analysis. In this study, trend detection of meteorological elements data of Shapingba district in Chongqing, during 1951 to 2011, was estimated by non-parametric Mann-Kendall test. The analyzed elements are composed by mean precipitation, annual sunshine hours, annual humidity, annual mean temperature and annual mean wind speed. And the results show that inter-annual variations of preci

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15

Sridhar, S. I., and A. Raviraj. "Statistical Trend Analysis of Rainfall in Amaravathi River Basin using Mann-Kendall Test." Current World Environment 12, no. 1 (2017): 89–96. http://dx.doi.org/10.12944/cwe.12.1.11.

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The present study aims to detect the trends in annual and seasonal rainfall and its magnitude in Amaravathi basin, Tamil Nadu. In this study, the mean annual and seasonal rainfall in 10 rain gauge stations of Amaravathi basin have been analysed to determine the trend and its magnitude for the period of 1982-2014. The trend analysis is done using Mann-Kendall and Sen’s slope estimator. The trend analysis results showed wide variations during all the seasons. The increasing trend of rainfall is found to be dominant during north-east monsoon season when compared to other seasons.

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Zhang, Xiaojuan, Zheng Wang, Di Zhang, et al. "The prevalence and treatment rate trends of osteoporosis in postmenopausal women." PLOS ONE 18, no. 9 (2023): e0290289. http://dx.doi.org/10.1371/journal.pone.0290289.

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Background To evaluate the prevalence and treatment of postmenopausal women with osteoporosis in recent years, analyze differences between the prevalence diagnosed by physicians and the prevalence detected by bone mineral density (BMD), and observe the trends of prevalence and treatment rate of osteoporosis in postmenopausal women over time are of great value for the management of osteoporosis. Methods This cross-sectional study collected the data of 4012 postmenopausal women from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2010, 2013 to 2014 and 2017 to 2018. Th

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17

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 (2018): 1–9. http://dx.doi.org/10.9734/jsrr/2018/42029.

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18

Kamal, Neel, and Sanjay Pachauri. "Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis." International Journal of Computer Trends and Technology 63, no. 1 (2018): 18–21. http://dx.doi.org/10.14445/22312803/ijctt-v63p104.

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19

Güçlü, Yavuz Selim. "Multiple Şen-innovative trend analyses and partial Mann-Kendall test." Journal of Hydrology 566 (November 2018): 685–704. http://dx.doi.org/10.1016/j.jhydrol.2018.09.034.

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20

Blain, Gabriel Constantino. "Removing the influence of the serial correlation on the Mann-Kendall test." Revista Brasileira de Meteorologia 29, no. 2 (2014): 161–70. http://dx.doi.org/10.1590/s0102-77862014000200002.

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The Pre-Whitening (PW), the Trend-Free Pre-Whitening (TFPW) and the Modified Trend-Free Pre-Whitening (MTFPW) were developed to remove the influence of serial correlations on the Mann-Kendall trend test. The main purpose of this study was to compare the performance of these algorithms for evaluating trends in auto-correlated series. The PW, TFPW and MTFPW were also applied to the monthly values of the rainfall (Pre), minimum (Tmin) and maximum (Tmax) air temperature data obtained from the weather station of Ribeirão Preto, State of São Paulo, Brazil. Sets of Monte Carlo simulations were carrie

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21

Mbhamali, Thulebona W., and Hector Chikoore. "Nonparametric and Innovative Hydroclimatic Trend Detection over the South African Sugar Belt." Water 17, no. 13 (2025): 1983. https://doi.org/10.3390/w17131983.

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Detection and analysis of hydroclimatic trends are crucial for quantifying climate change, global warming, and their potential impacts. This study investigates hydroclimatic trends over the South African Sugar Belt (SASB) under a changing climate using nonparametric and innovative trend detection techniques for the periods 1980–2022, 2025–2050, and 2050–2080. Statistical tests, including the original and modified Mann–Kendall test, sequential Mann–Kendall test, and Innovative Trend Analysis were performed to detect trends and changes in hydroclimatic variables over the SASB’s dryland and irrig

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22

Vinay H. T., Arunava Ghosh, Sankalpa Ojha, Parthendu Poddar, and Pradip Basak. "Trend Analysis of Rainfall and Detection of Change Point in Terai Zone of West Bengal." International Journal of Environment and Climate Change 14, no. 1 (2024): 603–13. http://dx.doi.org/10.9734/ijecc/2024/v14i13876.

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Analyzing rainfall trends is crucial for understanding climate patterns to managing water resources and planning agriculture. Trends in rainfall can reveal shifts in climate conditions, whether it is an increase, decrease, or fluctuate over time. The present study intends to examine the long-term trend in monthly, seasonal and annual rainfall in Cooch Behar district of West Bengal spanning from 1969 to 2022. Wallis and Moore test applied to determine the randomness of rainfall, whereas, linear regression trend line, Mann-Kendall (MK) test, Modified-Mann Kendall (MMK) test, and Innovative Trend

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23

C, DHARANI, N. MARAGATHAM, V. GEETHALAKSHMI, SP RAMANATHAN, and BALAJI KANNAN. "Assessment of rainfall trend over Periyar Vaigai Command area of Tamil Nadu." MAUSAM 75, no. 4 (2024): 1125–32. http://dx.doi.org/10.54302/mausam.v75i4.5968.

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Rainfall trend analysis is critical for studying the effects of climate change. The most crucial aspect of understanding climate change at the basin level is, how it will affect water usage, planning, and development. The present study has been attempted to analyze the trend of annual and seasonal rainfall data over Periyar Vaigai Command area from 1982 – 2021 (40 years) employing different trend analysis methods i.e., Mann-Kendall test for trend significance, Sequential Mann-Kendall test for assessment of start and end of trend, Sen’s slope test for trend magnitude, Innovative Trend Analysis

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24

Kodandarama, S.R., Mohan Kumar, T.L., Prathima, C.M., and T. V. Krishna. "Analysis of Rainfall Trend in North Interior Karnataka (NIK) Meteorological Subdivision of Karnataka by Non-Parametric Methodologies." Asian Research Journal of Agriculture 17, no. 2 (2024): 60–69. http://dx.doi.org/10.9734/arja/2024/v17i2422.

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The present study analyzed the trend in the month-wise, seasonal and annual rainfall employing three non-parametric tests viz. Mann-Kendall (M-K), Modified Mann-Kendall (MM-K) tests and Sen’s slope estimator for North Interior Karnataka (NIK) meteorological subdivision of Karnataka using 60 years (1960-2019) rainfall data. The M-K test results revealed that there is no monotonic trend in all data sets which indicates that there may exist the influence of serial correlation in the rainfall data. The MM-K test was applied to rainfall data of the NIK subdivision, the result of the test revealed t

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Aditya, F., E. Gusmayanti, and J. Sudrajat. "Rainfall trend analysis using Mann-Kendall and Sen’s slope estimator test in West Kalimantan." IOP Conference Series: Earth and Environmental Science 893, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1755-1315/893/1/012006.

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Abstract Climate change has been a prominent issue in the last decade. Climate change on a global scale does not necessarily have the same effect in different regions. Rainfall is a crucial weather element related to climate change. Rainfall trends analysis is an appropriate step in assessing the impact of climate change on water availability and food security. This study examines rainfall variations and changes at West Kalimantan, focusing on Mempawah and Kubu Raya from 2000-2019. The Mann-Kendall (MK) and Sen's Slope estimator test, which can determine rainfall variability and long-term mono

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KHAN, AMJAD ALI, ATEEQ UR RAUF, AYESHA NOREEN, SHABIR JAN, UZAIR KHAN, and HABIB AHMAD JAN. "Trend analysis of hydrometeorological parameters and reservoir level of Tarbela reservoir, Pakistan." Journal of Agrometeorology 26, no. 4 (2024): 435–41. https://doi.org/10.54386/jam.v26i4.2747.

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This study identified the trends in monthly temperature, precipitation, & evaporation for Astore, Darosh, Gilgit, Gupis and Skardu and trends in inflow, outflow and reservoir level for Tarbela reservoir. Two non-parametric tests i.e. Man-Kendall and Sen’s Slope and Innovative Trend Analysis (ITA) were used to determine the trend. The first Mann-Kendall test with a significance level 5% was applied to 33-year data of five selected areas from 1990-2022. The results showed an increasing trend in temperature in March for all selected areas. No significant trend was observed in precipitation ex

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Ashok, Singh, Thakur Samir, and C. Adhikary Nirab. "Long-term Rainfall Data Analysis of the Major Stations of Brahmaputra Plain in Northeast Region of India." Indian Journal of Science and Technology 13, no. 8 (2020): 907–20. https://doi.org/10.17485/ijst/2020/v13i08/149815.

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Abstract <strong>Objectives:</strong> This study explores the rainfall variability and long-term trend in the Brahmaputra plain of northeast region of India. The data analysis is mainly focused on estimating the amount, frequency, and trend of rainfall, using daily recorded data between the year 1950 and 2013. <strong>Methods:</strong> Linear Regression analysis was utilized to check the correlation relation between elevation and rainfall. The Mann Kendall test was used to detect a significant trend in rainfall series. Sen’s slope method was used to measure the magnitude of tre

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Sudarsan, Gayathri, and A. Lasitha. "Rainfall Trend analysis using Mann-Kendall and Sen’s slope test estimation - A case study." E3S Web of Conferences 405 (2023): 04013. http://dx.doi.org/10.1051/e3sconf/202340504013.

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In order to analyze the changing pattern of rainfall in one of the important district in Kerala, this study concentrated on a crucial meteorological variable: precipitation. Agriculture in this region depends on rain, but because it occurs erratically and without warning, it has an adverse impact on the cropping system and the availability of natural water resources. Non-parametric analysis was used to determine the monthly, seasonal, and annual rainfall variability (trend and slope magnitude) from rainfall data spanning 30 years (1989-2018) on a monthly basis. To determine the strength of a t

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V C, Karthik, Vinay H T, Jagadeesh M S, Ragini H R, Gaddala Prem, and Pavithra V. "Analysis of Rainfall Trends and Change Point Detection in Kodagu District, Karnataka." International Journal of Environment and Climate Change 14, no. 9 (2024): 33–43. http://dx.doi.org/10.9734/ijecc/2024/v14i94389.

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This study aims to analyze the long-term trends and Change Point Detection in monthly, seasonal, and annual rainfall in Kodagu district, Karnataka, from 1950 to 2023. The Wallis and Moore Phase-Frequency test was employed to assess the randomness of the rainfall, while the linear regression trend line, Mann-Kendall (MK) test, and Modified-Mann Kendall (MMK) test were used to identify trends in the rainfall data. The MMK test revealed a significant increasing trend in rainfall during August (2.34 mm year-1) and September (1.78 mm year-1). Conversely, the other months, as well as the seasonal an

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Ramanath, K., M. Sivagami, P. Radha, V. Balaji, and L. Shyamala. "Trend Analysis of Rain Precipitation for Indian States using 1901-2020 IMD dataset." Disaster Advances 16, no. 2 (2023): 41–49. http://dx.doi.org/10.25303/1602da041049.

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This study explores the greatest yearly precipitation pattern utilizing the Mann-Kendall test and Sen’s slope strategy and assesses the importance of variability utilizing precipitation of all Indian weather stations followed by spectral analysis. The information of these weather conditions stations from 1901 to 2020 was utilized. Original Mann-Kendall test, Modified Mann-Kendall test using Pre-Whitening method, Correlated Seasonal Mann-Kendall test and Sen’s slope test were applied to identify homogeneity in the information and detected the behaviour of the signal by using spectral analysis.

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KHAVSE, RAJESH, and J. L. CHAUDHARY. "Trend assessment in climate variable by Mann Kendall test of Bastar district of Chhattisgarh." MAUSAM 73, no. 1 (2022): 79–82. http://dx.doi.org/10.54302/mausam.v73i1.5082.

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Climate change is a natural phenomenon but in present decades its variability of change mainly due to anthropogenic activities is alarming. Agriculture of Chhattisgarh state is mainly dependant on monsoon rain and its distribution. Considering this fact, the present study has been tried to analyze the most important climatic variables, viz., precipitation and temeperature for analyzing their trend in the area. The trends of maximum atmospheric temperature, rainfall and rainy days are analysed statistically for meteorological data of Jagdalpur station of Bastar district, over last three decades

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Ruwangika, Ashika M., Anushka Perera, and Upaka Rathnayake. "Comparison of Statistical, Graphical, and Wavelet Transform Analyses for Rainfall Trends and Patterns in Badulu Oya Catchment, Sri Lanka." Complexity 2020 (October 21, 2020): 1–13. http://dx.doi.org/10.1155/2020/7146593.

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Climate change has adversely influenced many activities. It has increased the intensified precipitation events in some places and decreased the precipitation in some other places. In addition, some research studies revealed that the climate change has moved seasons in the temporal scale. Therefore, the changes can be seen in both spatial and temporal scales. Thus, analyzing climate change in the localized environments is highly essential. Rainfall trend analysis in a localized catchment can improve many aspects of water resource management not only to the catchment itself but also to some of t

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R.S. SAYYAD, K.K. DAKHORE, and S.V. PHAD. "Analysis of rainfall trend of Parbhani, Maharshtra using Mann– Kendall test." Journal of Agrometeorology 21, no. 2 (2021): 239–40. http://dx.doi.org/10.54386/jam.v21i2.244.

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NISHIOKA, Masaaki, and Kaoru TAKARA. "A trend analysis of hydrological time series by Mann-Kendall test." JOURNAL OF JAPAN SOCIETY OF HYDROLOGY & WATER RESOURCES 17, no. 4 (2004): 343–53. http://dx.doi.org/10.3178/jjshwr.17.343.

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Önöz, Bihrat, and Mehmetcik Bayazit. "Block bootstrap for Mann-Kendall trend test of serially dependent data." Hydrological Processes 26, no. 23 (2012): 3552–60. http://dx.doi.org/10.1002/hyp.8438.

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Ruezzene, Camila Bermond, Renata Gonçalves Aguiar, Graciela Redies Fischer, Nara Luísa Reis de Andrade, Renato Billia de Miranda, and Frederico Fabio Mauad. "Minimum trends in air temperature in the municipality of Porto Velho - RO from 1971 to 2016." Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 23 (September 26, 2019): 39. http://dx.doi.org/10.5902/2236117039842.

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In recent years, studies focused on the climate of the Amazon have been the focus of major research mainly to identify possible temperature trends. The objective of this study was to analyze the trends and the years of abrupt changes in temperature that occurred in the Southwest Amazon from 1971 to 2016 in the municipality of Porto Velho-RO. The study area is located in the municipality of Porto Velho at the Meteorological Station of Surface, we used average daily temperature data and subdivided into climatological series from 1971 to 2006 and 1981 to 2016. The Mann-Kendall and Pettitt tests w

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Gholami, Hooman, Yahya Moradi, Morteza Lotfirad, Mohammad Amin Gandomi, Nooredin Bazgir, and Manoochehr Shokrian Hajibehzad. "Detection of abrupt shift and non-parametric analyses of trends in runoff time series in the Dez river basin." Water Supply 22, no. 2 (2021): 1216–30. http://dx.doi.org/10.2166/ws.2021.357.

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Abstract The present study aims to investigate the homogeneity of runoff time series and also to review the existence of trends in Tale Zang hydrometric station (the hydrometric station at the inflow into the Dez reservoir) runoff, using 61 years (1956–2016) daily recorded data. The Pettit test, which is a common method in investigating the homogeneity of time series, was used to identify change points. Both Mann-Kendall and auto-correlated Mann-Kendall tests were applied to analyze the existence or non-existence of trends in each annual, seasonal, and monthly time series observed in a runoff.

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Ali, Kuriqi, Abubaker, and Kisi. "Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method." Water 11, no. 9 (2019): 1855. http://dx.doi.org/10.3390/w11091855.

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Trend analysis of streamflow provides practical information for better management of water resources on the eve of climate change. Thus, the objective of this study is to evaluate the presence of possible trends in the annual, seasonal, maximum, and minimum flow of Yangtze River at Cuntan and Zhutuo stations in China for the period 1980 to 2015. The assessment was carried out using the Mann–Kendall trend test, and the innovative trend analysis, while Sen’s slope is used to estimate the magnitude of the changes. The results of the study revealed that there were increasing and decreasing trends

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Othman. Ali, Rawshan, and Shadan Rashid Abubaker. "Trend analysis using mann-kendall, sen's slope estimator test and innovative trend analysis method in Yangtze river basin, china: review." International Journal of Engineering & Technology 8, no. 2 (2019): 110–19. https://doi.org/10.14419/ijet.v7i4.29591.

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Trend analysis of mean monthly flows is fundamental for better water resources management and planning in this study, Mann Kendall (MK), Sen's Method and Åžen's Innovative trend method (ITM) were utilized so as to analyze the possible trends of annual and seasonal flows. In this study, trends of flow of the Yangtze River were reviewed on in seasonal and annual time series utilizing the Mann-Kendall (MK) test, Sen's slope estimator, and innovative trend method (ITM). That is why, the monthly flow information will gather in the stations of Yangtze River Basin. In any case, the seasonal and annua

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Patakamuri, Sandeep Kumar, Krishnaveni Muthiah, and Venkataramana Sridhar. "Long-Term Homogeneity, Trend, and Change-Point Analysis of Rainfall in the Arid District of Ananthapuramu, Andhra Pradesh State, India." Water 12, no. 1 (2020): 211. http://dx.doi.org/10.3390/w12010211.

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The objective of this study is to evaluate the homogeneity, trend, and trend change points in the rainfall data. Daily rainfall data was collected for the arid district of Ananthapuramu, Andhra Pradesh state, India from 1981 to 2016 at the subdistrict level and aggregated to monthly, annual, seasonal rainfall totals, and the number of rainy days. After quality checks and homogeneity analysis, a total of 27 rain gauge locations were considered for trend analysis. A serial correlation test was applied to all the time series to identify serially independent series. NonParametric Mann–Kendall test

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Acar, Emine, Adem Akpınar, Murat Kankal, and Khalid Amarouche. "Wave Power Trends over the Mediterranean Sea Based on Innovative Methods and 60-Year ERA5 Reanalysis." Sustainability 15, no. 11 (2023): 8590. http://dx.doi.org/10.3390/su15118590.

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The present study aims to evaluate long-term wave power (Pwave) trends over the Mediterranean Sea using innovative and classical trend analysis techniques, considering the annual and seasonal means. For this purpose, the data were selected for the ERA5 reanalysis with 0.5° × 0.5° spatial resolution and 1 h temporal resolution during 60 years between 1962 and 2021. Spatial assessment of the annual and seasonal trends was first performed using the innovative trend analysis (ITA) and Mann–Kendall (MK) test. To obtain more detailed information, innovative polygon trend analysis (IPTA), improved vi

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Clarke, R. T. "Fitting and testing the significance of linear trends in Gumbel-distributed data." Hydrology and Earth System Sciences 6, no. 1 (2002): 17–24. http://dx.doi.org/10.5194/hess-6-17-2002.

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Abstract. The widely-used hydrological procedures for calculating events with T-year return periods from data that follow a Gumbel distribution assume that the data sequence from which the Gumbel distribution is fitted remains stationary in time. If non-stationarity is suspected, whether as a consequence of changes in land-use practices or climate, it is common practice to test the significance of trend by either of two methods: linear regression, which assumes that data in the record have a Normal distribution with mean value that possibly varies with time; or a non-parametric test such as th

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Militino, Ana, Mehdi Moradi, and M. Ugarte. "On the Performances of Trend and Change-Point Detection Methods for Remote Sensing Data." Remote Sensing 12, no. 6 (2020): 1008. http://dx.doi.org/10.3390/rs12061008.

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Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann–Kendall and Cox–Stuart tests for detecting trends; and Pettitt, Buishand range, Buishand U, standard normal homogeneity (Snh), Meanvar, structure change (Strucchange), breaks for additive season and trend (BFAST), and hierarchical divisive (E.divisive) for detecting change-points. In this paper, we describe a simulation study based on including different artificial, abrupt changes at different time-pe

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Pradhan, Bhawishya, Banjul Bhattacharyya, N. Elakkiya, and T. Gowthaman. "Fitting Probability Distributions and Statistical Trend Analysis of Rainfall of Agro-climatic Zone of West Bengal." Nature Environment and Pollution Technology 23, no. 4 (2024): 2453–60. https://doi.org/10.46488/nept.2024.v23i04.051.

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This research aimed to identify the most appropriate probability distribution for modeling average monthly rainfall in the agro-climatic zones of West Bengal and to detect any trends in this data. The study utilized historical rainfall data spanning 51 years (1970-2020) obtained from the IMD in Pune. To determine the best-fitting distribution and assess trends, 23 different probability distributions were employed, with the Mann-Kendall test and Sen’s slope estimator used for trend analysis. Goodness-of-fit tests, including the Kolmogorov-Smirnov, Anderson-Darling, and Chi-square tests, were em

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Samo, S. R., N. Bhatti, A. Saand, M. A. Keerio, and D. K. Bangwar. "Temporal Analysis of Temperature and Precipitation Trends in Shaheed Benazir Abad Sindh, Pakistan." Engineering, Technology & Applied Science Research 7, no. 6 (2017): 2171–76. https://doi.org/10.5281/zenodo.1118278.

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Temperature and precipitation variations have a huge environmental, social and economic impact. This study aims to analyze the temporal variation of temperature and precipitation in Shaheed Benazir Abad district by using the linear regression method, the trend magnitude, the Mann-Kendall test and the Sen’s estimator of slope. The annual precipitation and monthly temperature data of Shaheed Benazir Abad for the period of 1996-2014 are considered. The result shows that the Diurnal temperature range of all months is decreasing due to the increasing of monthly minimum temperature at a faster

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Krishan, Gopal, Surendra Chandniha, and Anil Lohani. "Rainfall Trend Analysis of Punjab, India Using Statistical Non-Parametric Test." Current World Environment 10, no. 3 (2015): 792–800. http://dx.doi.org/10.12944/cwe.10.3.09.

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Annual, seasonal and monthly variations in rainfall trend in Punjab, India for 102 years (1901–2002) were analysed using statistical non-parametric tests - the Modified Mann-Kendall (MMK) test and Sen’s slope which indicated rising trend in rainfall in all the districts.

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Marsitha Barung, Femmy, Wendel Jan Pattipeilohy, and Robi Muharsyah. "ASSESSMENT OF CLIMATE CHANGE BASED ON ANNUAL TREND AND CHANGE OF TEMPERATURE IN MANOKWARI, WEST PAPUA." Jurnal Analisis Kebijakan Kehutanan 18, no. 1 (2021): 45–57. http://dx.doi.org/10.20886/jakk.2021.18.1.45-57.

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A simple climate change assessment is carried out on annual air temperatures including average, maximum and minimum temperatures in Rendani, Manokwari for the period of 1993-2019. Parametric linear regression and nonparametric Mann-Kendall trend test (MK), Modified Mann-Kendall (MMK), Sen's Slope Estimator (SSE)are used to analyze trends and index numbers for analyzing the temperature changes. Homogenity test is performed using double mass curve and assumption of normality in the distribution is also investigated to meet the requirements of the linear regression trend test. There as a signific

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Masseran, Nurulkamal, Nazihah Ruzelan, and Nur-Firyal‪ R. "Trend Behavior of Malaysia Consumer Price Index: Evidence from National Database (2003–2022)." Sains Malaysiana 53, no. 4 (2024): 953–67. http://dx.doi.org/10.17576/jsm-2024-5304-17.

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The Consumer Price Index (CPI) is a general indicator used to measure price changes over time. The Malaysia CPI is published using a base year of 2010. This study aimed to identify the significant trend behavior in the Malaysia CPI series for the period 2003–2022. The main question of the paper is whether there exists any difference in trends between the main and overall CPI variables? If so, is the difference significant? If so, how strong or weak is the magnitude of its trend? This is analyzed empirically through five statistical analysis methods involving the serial correlation analysis, Ma

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Blain, Gabriel Constantino. "The modified Mann-Kendall test: on the performance of three variance correction approaches." Bragantia 72, no. 4 (2013): 416–25. http://dx.doi.org/10.1590/brag.2013.045.

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The Mann-Kendall test has been used to detect climate trends in several parts of the Globe. Three variance correction approaches (MKD, MKDD and MKRD) have been proposed to remove the influence of serial correlation on this trend test. Thus, the main goal of this study was to evaluate the probability of occurrence of types I and II errors associated with these three approaches. The results obtained by means of Monte Carlo simulations and from a case of study allowed us to drawn the following conclusions: All approaches are capable of meeting the adopted significant level when they are applied t

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Hamed, Khaled H. "Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis." Journal of Hydrology 349, no. 3-4 (2008): 350–63. http://dx.doi.org/10.1016/j.jhydrol.2007.11.009.

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