scholarly journals Rainfall trend analysis of Sydney’s drinking water catchments

2009 ◽  
Author(s):  
S. Shrestha ◽  
S. Riley ◽  
L. Thomas
Keyword(s):  
Drinking Water ◽  
Trend Analysis ◽  
Rainfall Trend ◽  
Water Catchments

scholarly journals Rainfall Trend Analysis by ANN Method

2020 ◽  
Vol 9 (6) ◽  
pp. 1437-1447
Author(s):  
Bhupendra Dhankar ◽  
Gunja Dhruw
Keyword(s):  
Trend Analysis ◽  
Rainfall Trend

scholarly journals Cryptosporidium species and subtypes in animals inhabiting drinking water catchments in three states across Australia

2018 ◽  
Vol 134 ◽  
pp. 327-340 ◽  
Author(s):  
Alireza Zahedi ◽  
Paul Monis ◽  
Alexander W. Gofton ◽  
Charlotte L. Oskam ◽  
Andrew Ball ◽  
...  
Keyword(s):  
Drinking Water ◽  
Cryptosporidium Species ◽  
Water Catchments

scholarly journals Comparison of Statistical Methods to Graphical Methods in Rainfall Trend Analysis: Case Studies from Tropical Catchments

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Upaka Rathnayake
Keyword(s):  
Time Series ◽  
Trend Analysis ◽  
Climatic Factors ◽  
Data Series ◽  
Graphical Methods ◽  
Rainfall Trend ◽  
Comparison Analysis ◽  
Analysis Techniques ◽  
Rainfall Trends ◽  
Time Series Analyses

Time series analyses for climatic factors are important in climate predictions. Rainfall is being one of the most important climatic factors in today’s concern for future predictions; thus, many researchers analyze the data series for identifying potential rainfall trends. The literature shows several methods in identifying rainfall trends. However, statistical trend analysis using Mann–Kendall equation and graphical trend analysis are the two widely used and simplest tests in trend analysis. Nevertheless, there are few studies in comparing various methods in the trend analysis to suggest the simplest methods in analyzing rainfall trends. Therefore, this paper presents a comparison analysis of statistical and graphical trend analysis techniques for two tropical catchments in Sri Lanka. Results reveal that, in general, both trend analysis techniques produce comparable results in identifying rainfall trends for different time steps including annual, seasonal, and monthly rainfalls.

scholarly journals Advanced Rainfall Trend Analysis of 117 Years over West Coast Plain and Hill Agro-Climatic Region of India

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1225
Author(s):  
Atul Saini ◽  
Netrananda Sahu ◽  
Pankaj Kumar ◽  
Sridhara Nayak ◽  
Weili Duan ◽  
...  
Keyword(s):  
Trend Analysis ◽  
West Coast ◽  
Winter Season ◽  
Recurrence Interval ◽  
Annual Rainfall ◽  
Rainfall Trend ◽  
Climatic Region ◽  
Monotonic Trend ◽  
Slope Test ◽  
The Impact

In this paper, the rainfall trend of the West Coast Plain and Hill Agro-Climatic Region is analyzed for 117 years (1901–2017). This region is a globally recognized biodiversity hotspot and known for one of the highest rainfall receiving regions in India. Rainfall grid dataset is used for the analysis of rainfall trends on monthly, seasonal, and decadal time scales. Modified Mann–Kendall’s test, Linear Regression, Innovative Trend Analysis, Sen’s Slope test, Weibull’s Recurrence Interval, Pearson’s Coefficient of Skewness, Consecutive Disparity Index, Kurtosis, and some other important statistical techniques are employed for trend analysis. Results indicate that the rainfall trend is significant in January, July, August, September as well as the Winter season. Among all the significant trends, January and July showed a decreasing rainfall trend. July has the highest contribution (30%) among all the obtained monotonic trend to annual rainfall and coincidentally has the highest trend magnitude. August and September months with a combined contribution of 30% to annual rainfall, show an increasing monotonic trend with high magnitude whereas Winter season shows a monotonic decreasing rainfall trend with comparatively low magnitudes. Decadal analysis along with the study of recurrence interval of excess and deficit years helps to understand the decadal rhythm of trend and the magnitude of extreme monthly and seasonal events. Skewness reveals that rainfall dataset of all the periodic results is right-skewed and the recurrence interval also supports the skewness results. Sharply decreasing rainfall in July and rising rainfall in August and September is predictive of the impact on agriculture, biodiversity and indicates the rainfall regime shift in the region.

scholarly journals Early warning of changing drinking water quality by trend analysis

2016 ◽  
Vol 14 (3) ◽  
pp. 433-442 ◽  
Author(s):  
Jani Tomperi ◽  
Esko Juuso ◽  
Kauko Leiviskä
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Trend Analysis ◽  
Warning Signs ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Water Treatment Process ◽  
Health Related ◽  
And Control

Monitoring and control of water treatment plants play an essential role in ensuring high quality drinking water and avoiding health-related problems or economic losses. The most common quality variables, which can be used also for assessing the efficiency of the water treatment process, are turbidity and residual levels of coagulation and disinfection chemicals. In the present study, the trend indices are developed from scaled measurements to detect warning signs of changes in the quality variables of drinking water and some operating condition variables that strongly affect water quality. The scaling is based on monotonically increasing nonlinear functions, which are generated with generalized norms and moments. Triangular episodes are classified with the trend index and its derivative. Deviation indices are used to assess the severity of situations. The study shows the potential of the described trend analysis as a predictive monitoring tool, as it provides an advantage over the traditional manual inspection of variables by detecting changes in water quality and giving early warnings.

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