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Relevant bibliographies by topics / Sen's slope estimator (SS)

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Academic literature on the topic 'Sen's slope estimator (SS)'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Sen's slope estimator (SS)"

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Mishra, Vipin Kumar, Dhiraj Khalkho, Vinay K. Pandey, and Rakesh Banwasi. "Trend Analysis of Rainfall and Temperature in the Kharun Watershed: Implications for Climate and Water Management." International Journal of Environment and Climate Change 14, no. 11 (2024): 370–77. http://dx.doi.org/10.9734/ijecc/2024/v14i114552.

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Rainfall and temperature are critical meteorological variables for understanding climate change and its potential impacts on water resources. Rainfall and Temperature are the most important for climatic parameters. The result of this study will help to take necessary steps and measures for agricultural production. This study focuses on analyzing rainfall and temperature trends in the Kharun watershed, Chhattisgarh, using the Mann-Kendall (MK) test and Sen's slope (SS) estimator. The analysis covers seasonal (summer, winter, and monsoon) and annual trends across key stations. Results for precip

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Gupta, Lov Kumar, and Shruti Verma. "Rainfall and Temperature Trend Analysis Using Mann-Kendall and Sen’s Slope Estimator Test in Kharun Watershed, Chhattisgarh, India." Current Journal of Applied Science and Technology 42, no. 23 (2023): 1–9. http://dx.doi.org/10.9734/cjast/2023/v42i234174.

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Temperature and rainfall are important meteorological variables in connection with changes in the climate. Analyzing rainfall temperature changes is a necessary first step in determining how climate change will affect us. Evaluating how climate change would affect the accessibility of water and the environment. The main focus of the current study is on the shifting patterns of rainfall and temperature in the Kharun Watershed, Chhattisgarh. The Mann-Kendall (MK) test and Sen's slope (SS) method are used in this study to examine trends in seasonal and yearly rainfall, and minimum and maximum tem

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Arrieta-Castro, Marco, Adriana Donado-Rodríguez, Guillermo J. Acuña, Fausto A. Canales, Ramesh S. V. Teegavarapu, and Bartosz Kaźmierczak. "Analysis of Streamflow Variability and Trends in the Meta River, Colombia." Water 12, no. 5 (2020): 1451. http://dx.doi.org/10.3390/w12051451.

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The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. The methods employed for the trend detection and quantification were the Mann–Kendall (MK) test, the modified MK (MMK) test, and the Sen’s slope (SS) estimator. Statistically significant trends (at a 95% level of con

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Akhundzadah, Noor Ahmad. "Analyzing Temperature, Precipitation, and River Discharge Trends in Afghanistan’s Main River Basins Using Innovative Trend Analysis, Mann–Kendall, and Sen’s Slope Methods." Climate 12, no. 12 (2024): 196. http://dx.doi.org/10.3390/cli12120196.

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Afghanistan, a nation already challenged by geopolitical and environmental pressure, faces severe climate change impacts, evident through rising temperatures, decreasing precipitation, and reduced river discharge. These changes profoundly affect the country’s water resources, agriculture, ecosystems, and well-being. This study analyzes trends in mean annual temperature, precipitation, and river discharge across all five of Afghanistan’s river basins from 1980 to 2022, utilizing an innovative trend analysis (ITA), the Mann–Kendall (MK) test, and Sen’s slope (SS) estimator. Climate data were der

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Dam Quoc Huy, Nguyen, Tran Thi Kim, and Dang Truong An. "Hydrological Regime Variability between the Tien and Hau Rivers under the Impact of Anthropogenic Activities and Climate Change." Journal of Environmental & Earth Sciences 7, no. 5 (2025): 96–107. https://doi.org/10.30564/jees.v7i5.8707.

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The distribution of flow discharge between the Tien and Hau Rivers in the Vietnamese Mekong Delta (VMD) plays an important role in Vietnam’s agricultural and aquaculture production activities. However, recent variations in water levels and flow patterns, driven by both human activities and climate change (CC), have posed significant challenges for water resource management. This study evaluates the impacts of unsustainable exploitation and CC on the hydrological regime of the Tien and Hau Rivers using non-parametric statistical methods. Long-term water level data (1978–2023) from Tan Chau, Cha

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Kumar, Aman, and Pawan Kumar Attri. "Analysis of Pre-monsoon and Post-monsoon Seasonal Rainfall Trends by Mann-Kendall and Sen’s Slope Estimator Test in Himachal Pradesh, India." Current World Environment 19, no. 2 (2024): 998–1010. http://dx.doi.org/10.12944/cwe.19.2.37.

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The purpose of the current study is to determine the trends and patterns of precipitation occurring in the periods before and after the monsoon season at 12 meteorological stations located in the twelve districts of the Himachal Pradesh region. The timeframe of the analysis is from 1991 to 2020. For this study, we used the Mann-Kendall test and estimator Sen's slope estimator test. Precipitation is an essential climatic factor that can act as a signal of climate change. In order to understand how climate change may affect water resource planning and management, it is crucial to understand rain

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D. Wale, Vishal, V. A. Sthool, D. Jadhav, and S. K. Upadhye. "Trend Analysis of Rainfall and Rainy Days using Mann Kendall Method and Sen’s Slope Estimator Atpadi Tahsil of Sangli District of Maharashtra." Journal of Agriculture Research and Technology 47, no. 01 (2022): 55–60. http://dx.doi.org/10.56228/jart.2022.47111.

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The study has been carried out to investigate and assess the significance of the potential trend of rainfall and rainy days over the Atpadi tahsil of Sangli district of Maharashtra. In this study, trend analysis has been carried out on annual, seasonal, monthly and weekly basis using the data period between 1982 to 2018 for rainfall and rainy days. Mann-Kendall test and Sen's slope estimate test were applied to identify the existing trend direction and Sen's slope estimator test were used to detect the trend direction and magnitude of change over time. The test results showed increasing rainfa

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Wale, V. D., J. D. Jadhav, V. A. Sthool, and S. K. Upadhye. "Rainfall and Rainy Days Trend Analysis in Miraj Tahsil of Sangli District." Journal of Agriculture Research and Technology 47, no. 01 (2022): 28–33. http://dx.doi.org/10.56228/jart.2022.47106.

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The study has been carried out to investigate and asses the significance of the potential trend on annual, seasonal and monthly basis using the data period between 1982 to 2018 for rainfall and rainy days. MannKendall test and Sen's slope estimate test were applied to identify the existing trend direction and Sen's slope estimator test were used to detect the trend direction and magnitude of change over time. The test results showed increasing annual rainfall and rainy days trend over the tahsil. The seasonal rainfall and rainy days showed decreasing trend for summer season and decreasing tren

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Vishwakarma, Ankur, Mahendra Kumar Choudhary, and Mrityunjay Singh Chauhan. "Applicability of SPI and RDI for forthcoming drought events: a non-parametric trend and one way ANOVA approach." Journal of Water and Climate Change 11, S1 (2020): 18–28. http://dx.doi.org/10.2166/wcc.2020.042.

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Abstract Monthly, seasonal and annual trends of rainfall and temperature (both minimum and maximum) have been analyzed using the Mann–Kendall trend test (a non-parametric test) and Sen's slope estimator for Sagar division, India from 1988 to 2018. Sagar division is a drought-prone zone of Madhya Pradesh, India. The same analysis has been performed for two drought indices, the Standardized Precipitation Index (SPI) and Reconnaissance Drought Index (RDI). Both indices were calculated to see the trend in the drought for 35 rain-gauge stations belonging to the study area. The study revealed that t

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Mohanta, Jyotirmayee, and Ashis Chandra Pathy. "Investigating Rainfall Patterns in South Singhbhum: A Non-parametric Approach Utilizing Mann-Kendall Tests and Sen's Slope Estimator." Asian Journal of Geographical Research 7, no. 4 (2024): 45–66. https://doi.org/10.9734/ajgr/2024/v7i4249.

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Aims: The South Singhbhum region is a physical region that experiences monsoon climate and frequent tropical cyclones and has global importance because of its abundant mineral resources like iron, manganese and its mining activities. The agricultural practices mainly depend on rainfall as it is a hilly area. For that reason, sustainable management is necessary to fulfill ecological, industrial, and community water requirements. So, the investigation carried out in this study focuses on the analysis of rainfall patterns within the South Singhbhum region by utilizing non-parametric statistical m

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Book chapters on the topic "Sen's slope estimator (SS)"

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Capolupo, Alessandra, Raffaele Iannone, Pier Paolo Miglietta, and Eufemia Tarantino. "Monitoring Long-Term Trends in Aglianico Vineyards Using a Mann-Kendall Test Approach, Sen's Slope Estimator, and Sentinel-2 Time Series." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97617-9_13.

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Kumar, Utkarsh, Rashmi, Dhirendra Kumar Singh, et al. "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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Rani, Seema. "Assessment of Annual, Monthly, and Seasonal Trends in the Long Term Rainfall of the Garhwal Himalayas." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8814-8.ch011.

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Climate change is one of the very significant apprehension argued in the recent two decades. Its influence on rainfall has brought in considerable attention worldwide. Hence, this chapter focuses on assessing the trends in the rainfall during 1901-2012 in the Dehradun, Haridwar, Uttarkashi, Tehri-Garhwal, Pauri-Garhwal, Rudraprayag and Chamoli districts of the Garhwal Himalayas by applying non-parametric Mann-Kendall and the Theil-Sen's Slope Estimator tests for the determination of trend and its magnitude. The findings revealed a statistically significant positive trend in annual and monthly rainfall (May and July) of Dehradun district. Rainfall shows a statistically significant positive trend in May (Haridwar and Tehri Garhwal) and a significant negative trend in January (Uttarkashi and Chamoli). On the other hand, Pauri Garhwal and Rudraprayag indicates no significant trend in monthly rainfall. An insignificant trend has also been observed in seasonal rainfall of most of the districts. Annual, monthly and seasonal rainfall shown no particular pattern in the region.

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