Analysis of Rainfall Trends and Water Resource Management Report

This report presents an analysis of rainfall trends, focusing on the application of continuous wavelet transforms (CWT) and the Mann-Kendall (MK) test to assess rainfall patterns and their implications for water resource management. The study, based on a research paper, examines rainfall data in South Australia, aiming to identify trends in annual, monthly, and seasonal rainfall. The research problem addresses the challenges of water resource management in the region, where unpredictable rainfall patterns can lead to adverse environmental and economic impacts. The methodology employs CWT to analyze time-frequency representations of rainfall data and the MK test to identify trends over time. Key findings highlight the complex interplay of periodic components and original rainfall data, emphasizing the need for a comprehensive understanding of rainfall dynamics for effective water management. The report also evaluates the strengths and implications of the research, including its relevance to climate change and sustainable water resource planning. Furthermore, the report includes information about the ISI journal 'Advances in Water Resources,' providing details on the journal's editorial board, impact factor, scope, and publisher, along with a cover letter for submission. The report concludes with a comprehensive list of references, including relevant books and journals used in the study.

Reading Assignment
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Contents
PART 1............................................................................................................................................3
Name of Author and details.............................................................................................................3
Purpose and motivation of study......................................................................................................3
Research Problem............................................................................................................................3
Methods and Material used..............................................................................................................3
Study Objectives..............................................................................................................................4
Key Findings....................................................................................................................................4
Strengths and Implications of research............................................................................................4
Connection between chosen paper and citations.............................................................................5
PART 2: ISI journal Information.....................................................................................................6
Name of Journal...........................................................................................................................6
Information about Editorial Board...............................................................................................6
Rank and Impact factor and how impact factor is calculated......................................................6
Scope of the Journal.....................................................................................................................6
Publisher Information..................................................................................................................6
Cover Letter for submission in Journal.......................................................................................6
REFERENCES................................................................................................................................7
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PART 1
Name of Author and details
Assessment of trends in point rainfall using continuous wavelet transforms: DR, Md
Mamunur Rashid, University of South Australia.
Details of the corresponding author: Centre for Water Management and Reuse, School of
Natural and Built Environments,
University of South Australia, Mawson Lakes, SA 5095, Australia
Email: [e-mail]
Telephone: [phone]
Purpose and motivation of study
Main purpose of the study is to identify the trends between the annual, monthly and
seasonal rain and focuses on Onkaparinga in South Australia. Motivation behind it is to use the
application mentioned in the paper for detecting hydro climatic variables and how it could be
used for betterment of society. To conclude, identify the connections between rainfall, humidity,
temperature, stream flow and evapotranspiration and climate change in South Australia (Brown
and et. al., 2015).
To design and planned the effective sustainable water resources, it is important to
understand and monitor the variables in climates changes and how it could be modified for better
water management over a period of time (Bultreys, Van Hoorebeke and Cnudde, 2015).
Research Problem
Main problem which is faced by South Australia is management of water resources as there are
times when rainfall is not according to expectations which leads to loss of crops or any other
aspects. On the other hand, there are times when society sees high amount of rainfall which also
creates disastrous situations in the environment. So researcher has try to identify the way through
which rainfall would be predicted before it even occurs so that goal of sustainable water
resources would be attained (Farahmand and AghaKouchak, 2015).
Methods and Material used
To Study the existing trends in periodic components and original series of rainfall, Continuous
Wavelet Transform and MK test is used. Primary use of CWT is to make time frequency
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representation and to monitor the fluctuations in non-stationary signals. Besides this, purpose
behind usage of MK test that it assist in monitoring of fluctuations of variable over different time
period (Garambois and Monnier, 2015).
Study Objectives
 To identify connections and dependency between annual, seasonal and monthly rainfall
by studying its variables
 To identify periodic components fluctuations against the actual data gather from season
to season
Key Findings
 To make the research more credible and authentic in nature, properties of auto relation
must be cross checked as researcher must ensure that it is according to the variable which
hypothesis is dependent on (Grubert, 2016). For instance, there are few stations in which
auto relations is at 5% but on the other stations, there was non-significant auto relations.
 From 1997 to 2006, less rainfall has been analysed in South eastern Australia as compare
to climatological mean which implies that high periodic components plays an essential
role in the rainfall in annual rainfall (Prakash and et. al., 2016). Besides this, there were
positive as well as negative MKZ values in different locations which imply that rainfall
data of South Australia mainly comes from the combined effort of various periodic
components in different locations.
 After analysing the data collected over a period of time, it can be safely said that period
components and original data collected is not interrelated and changes season to season
which makes it more complex to understand and predict the future rainfall (Rad and et.
al., 2017).
Strengths and Implications of research
 Main strengths about this research is Australian rainfall and its fluctuations over a period
of time as this research would be hard to conduct in those places where there is no
rainfall or heavy rainfall all the time.
 If Fourier transform test is being used by researcher for this study then credibility of the
paper might get reduced to a certain level as it is only able to monitor and analyse the
stationery signal (Ragettli and et. al., 2015). But on the other hand, CWT is well versed
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and powerful tool to analyse the stationery as well as non-stationery signal which is
strength of this research.
 For understanding the climate, it is important to identify forward and backward
sequential values as it helps in finding the trends of rainfall in specific locations. It can
only be identify and monitor with the help of MK test which makes the paper more
credible in nature.
Connection between chosen paper and citations
Citations Reason
Torrence C, Compo GP. 1998 Whole research is revolves around the wavelet
analysis due to which more focus is given on
the CWT and MK test. So this researcher has
been used by the researcher to get more
information and knowledge regarding the
wavelet and how it changes season per season.
Besides this, it is important to identifying
different test which researcher could use to
monitor the wavelet as each approach has
different pros and cons which needs to be
considered by researcher before implementing
on the paper. For instance, there are researches
where stationery signal is essential due to
which researcher implements Fourier test and
in other researcher where mentioned test is not
effective in nature.
Ventura F, Rossi Pisa P, Ardizzoni E. 2002 This paper gives more focuses on knowledge
regarding the temperature and how it changes
on a regular basis which is directly connected
with the paper as temperature is one of the
factors which is essential for understanding the
waterfall pattern.
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PART 2: ISI journal Information
Name of Journal
 Advances in Water resources, Elsevier
Information about Editorial Board
 P. D’Odorico, (Editor) University of California, Berkeley
 G.C Sander, (Editor) Loughborough University, Loughborough, United Kingdom
Rank and Impact factor and how impact factor is calculated
 SJR: 1.384
 Impact Factor: 3.673
Identified quantitative and qualitative impact of paper with the same algorithm as google
Scope of the Journal
 To develop Subsurface water resources system
Publisher Information
Elsevier B.V. Registered Office:
Radarweg 29, 1043 NX Amsterdam, The Netherlands,
Registered in The Netherlands, Registration No. 33156677, BTW No. NL 005033019B01
Cover Letter for submission in Journal
To Water resource management, South Australia
In the modern era, it is essential to understand the importance of water management and how
practices of usage of water can be moulded so that it would be sustain for our future generation.
This paper will surely provide ways through which rainfall would be predicted in the first place
only so that better ways to conserve it would be identified. I am drafting my abstract on
Assessment of trends in point rainfall using continuous wavelet transforms.
Thank you!
Regards,
XYZ
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REFERENCES
Books and Journals
Brown, C. M., Lund, J. R., Cai, X., Reed, P. M., Zagona, E. A., Ostfeld, A., Hall, J., Characklis,
G. W., Yu, W. and Brekke, L., 2015. The future of water resources systems analysis: Toward a
scientific framework for sustainable water management. Water Resources Research. 51(8).
pp.6110-6124.
Bultreys, T., Van Hoorebeke, L. and Cnudde, V., 2015. Multi-scale, micro-computed
tomography-based pore network models to simulate drainage in heterogeneous rocks. Advances
in Water Resources. 78. pp.36-49.
Farahmand, A. and AghaKouchak, A., 2015. A generalized framework for deriving
nonparametric standardized drought indicators. Advances in Water Resources. 76. pp.140-145.
Garambois, P. A. and Monnier, J., 2015. Inference of effective river properties from remotely
sensed observations of water surface. Advances in Water Resources. 79. pp.103-120.
Grubert, E. A., 2016. Water consumption from hydroelectricity in the United States. Advances in
water resources. 96. pp.88-94.
Prakash, S., Mitra, A. K., Pai, D. S. and AghaKouchak, A., 2016. From TRMM to GPM: How
well can heavy rainfall be detected from space?. Advances in Water Resources. 88. pp.1-7.
Rad, A. M., Ghahraman, B., Khalili, D., Ghahremani, Z. and Ardakani, S. A., 2017. Integrated
meteorological and hydrological drought model: a management tool for proactive water
resources planning of semi-arid regions. Advances in Water Resources. 107. pp.336-353.
Ragettli, S., Pellicciotti, F., Immerzeel, W. W., Miles, E. S., Petersen, L., Heynen, M., Shea,
J.M., Stumm, D., Joshi, S. and Shrestha, A., 2015. Unraveling the hydrology of a Himalayan
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catchment through integration of high resolution in situ data and remote sensing with an
advanced simulation model. Advances in Water Resources. 78. pp.94-111.
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