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Sen’s slope
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This research aimed at assessing climate trends and adaptation strategies to the impacts of climate change on rice producers in Nghe An province. For the first objective, multiple graphs, the Mann– Kendall test, and Sen’s Slope test were employed to analyze the secondary data of rainfall, temperature, and rice yield in Nghe An from 1995 to 2019.
16p
viengels
25-08-2023
4
2
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Saline intrusion is a big challenge for the Mekong Delta region, a negative factor that greatly affects water and food security. In particular, the most severely affected areas are the coastal sub–regions between the Tien and Hau rivers in the lower Mekong basin, which are directly influenced by the tidal regime.
10p
viironman
02-06-2023
12
3
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The impact of climate change on sea level has attracted much attention from scientists worldwide. The analysis of sea-level change at global and regional scales is based on altimetry and/or tide gauge data. The main objective’s study relied on statistical tests to highlight the significant long-term changes in sea level in Ha Long coastal area through the 47 years (1974–2020) historical tide gauge record of the Bai Chay station.
13p
vicaptainmarvel
21-04-2023
5
3
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Bài viết Đánh giá mức độ suy giảm mực nước dưới đất và khả năng bổ cập cho tầng Holocene (qh): Trường hợp nghiên cứu tại vùng thượng nguồn đồng bằng sông Cửu Long trình bày đánh giá xu thế biến động mực nước dưới đất (NDĐ) tầng Holocene (qh), Pleistocene thượng (qp3), Pleistocene trung thượng (qp2-3) và khả năng bổ cập NDĐ tầng qh từ nước mưa tại vùng thượng nguồn đồng bằng sông Cửu Long.
9p
viargus
03-03-2023
5
3
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Results show that, according to the linear regression analysis, regional annual rainfall is not much fluctuated, the rainy season and annual rainfall tend to decrease, while rainfall in the dry season tends to increase. According to Sen’s slope chart, July rain gains highest increasement, while that of August tends to decrease most. In general, the precipitation concentration index revealed the presence of a high and very high concentration of rainfall.
11p
meyerowitz
25-12-2021
10
0
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Groundwater (GW) trend analysis provides an early warning system for changes in water table caused by climatic conditions or in response to human activities such as water withdrawal. This analysis investigates the pattern and trends of the seasonal groundwater level data of Arpa River Basin in Bilaspur district, Chhattisgarh for the period from 1984 to 2015. A study was under taken for identifying the trends in pre- and post-monsoon groundwater levels using non parametric Mann-Kendall test and Sen's slope estimator for time series modelling and forecasting of pre- and postmonsoon groundwater.
12p
nguaconbaynhay7
15-08-2020
22
4
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The present study is mainly concerned with the changing trend of rainfall in a district of Odisha. We have given an effort to analyse one of the most important climatic variable, i.e., precipitation, for analysing the rainfall trend in the area. Daily rainfall data of 102 years from 1901 to 2002 has been processed in the study to find out the monthly variability of rainfall for which the Mann-Kendall (MK) test has been used together with the Sen‟s Slope Estimator for the determination of trend and slope magnitude.
11p
angicungduoc6
22-07-2020
10
2
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Climate change and agriculture are interrelated processes, both of which take place on a global scale. The study was undertaken to identify the trend in weather parameters in Malaprabha Command Area (MCA). The research was based on secondary data of nineteen years (1999 to 2017) on different weather parameters such as precipitation, temperature, relative humidity and potential evapotranspiration obtained from the Irrigation Water Management Research Centre, Belavatgi under UAS, Dharwad.
9p
quenchua6
15-06-2020
12
1
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The present study intended to determine potential trends in monthly, seasonal and annual rainfall in the Brahmaputra valley of Assam during 1986-2015, based on observed daily rainfall data from 10 locations. The magnitude of the trends was estimated using TheilSen’s slope method, while statistical significance of the trends was tested using MannKendall rank statistics. Analysis revealed that mean annual rainfall varied from 1653.5 mm in Golaghat to 3676.9 mm in Gossaigaon, with variability in order of 13-32 per cent at different locations.
11p
gaocaolon5
14-06-2020
5
2
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The study of rainfall trends is very important for any place whose food security and economy are dependent on the timely availability of water. In this work monthly, seasonal and annual trends of rainfall have been studied over Pattambi region using rainfall data of 35 years (1983-2017).
8p
kethamoi5
03-06-2020
18
0
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Rainfall plays an important role in agricultural production system. Studying the rainfall distribution through the statistical models is also essential in agricultural field. In this paper, an attempt has been made to show the pattern of rainfall in TNAU1 Station Coimbatore through the Statistical distributions. In the study, the different statistical distributions are fitted for seasonal rainfall data and the best fit is determined. The historical rainfall data were collected for 34 years (1982 -2015) from the Meteorological Observatory AC & RI Coimbatore.
10p
kequaidan4
21-04-2020
11
0
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Long term rainfall trend analysis of different time series in Solapur district of Maharashtra, India
The long term behaviour of rainfall is necessary to study over space with different time series viz. annual, seasonal, monthly and weekly as it is one of the most significant climatic variable. Rainfall trend is an important tool which assesses the impact of climate change and provides direction to cope up with its adverse effects on the agriculture.
9p
nguaconbaynhay4
22-03-2020
26
2
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