Introduction:
21st Century may be called INFORMATION AGE when
information are extracted by sophisticated computer programmes and used for
maintaining sustainable growth. Unprecedented industrial activities during
the 20th Century (ATOMIC-COMPUTER AGE) without regard to ecology
has degraded the environment to alarming levels at local, regional and global
scales which require immediate focused attention of all concerned (including
the earth scientists) to achieve sufficiency in energy, materials, higher
economy & living standards, simultaneously improving the present fragile
ecology and environment. We not only require cleaner and greener
technologies(Manaham,2007) with higher productivities but also need strictly
optimal allocation and management of our finite resources(Sahu,2007
a,b,c,d). Fortunately, pollution-prevention through Industrial Ecology and
control of economy within ~Carrying Capacity~ of Mother earth are now well-recognised
as a boon which results in much valued Carbon Credits for future use. From
the viewpoint of human economy, Environment comprise three mutually
competitive (Resource, Amenity, Sink) functions which must be allocated for
and managed well to achieve sustainable growth(Sahu,2007 a,b,c).
Earth comprise FIVE mutually interacting
domains (GEOSPHERE (solid); HYDROSPHERE (liquid); ATMOSPHERE (gas);
BIOSPHERE (organisms), and ANTHROPOSPHERE (man`s activities and influences),
which together constitute ecology and environment. Earth Scientists study
and deal with all these five spheres and hence, are eminently qualified to
substantially contribute to sustainable growth without damage to the
environment and our future generations. However, demands for energy and
materials must be met by discovery of newer and augmentation of existing
sources and by improvement of ecology through science and technology. So,
earth scientists must acquire the latest and most efficient science and
technology tools by study of subjects like, Global Tectonics and
Climatology, Nonlinear Sciences, Stochastic Processes, Hard- and
Soft-Computing, Modelling & Optimization etc.(Sahu,2003,2004,2005,2007 a,b,c).
Challenges and Suggested Solutions:
Earth scientists today face tremendous challenges in order to
fulfill their professional obligations to the society and to safeguard our
existence for the future. These tasks are further magnified since they were
taught very little about the latest sciences and technologies at the
College/University stage; mainly because faculty lacked knowledge and
experience in the newer fields of science and technology. However, we can
overcome these problems by immediately introducing the new and desired
subjects into Earth Sciences curriculum and by organizing periodic updating
of faculty members through Summer/Winter courses and local week-end
coursers(Sahu,2004,2007a).
I suggest that at B.Sc. level : Matrices, Data Mining,
Univariate Statistics, Optimization; at M.Sc. level: Multivariate
Statistics, Time Series, Artificial Intelligence; and at M.Tech ./ Ph.D. level
Image & Wavelet (time-frequency) analyses, Soft Computing, Nonlinear Physics
may be introduced, pending which students and professionals must learn these
by self-study(Sahu,2007a)Attempts to utilize latest available tools such as
Satellite Imageries, GPS, GPR, 4D seismic., Soft Computing Softwares etc. and
also to introduce ~GEOSCIENCES~ at the School level.
The primary factor for sustenance and growth is Energy (mainly
hydrocarbons now) which is largely finite and which unfortunately generates
greenhouse gases that are responsible for global warming and environmental
degradation. Therefore ,newer hydrocarbon energy resources must be
discovered in the deepwater reservoirs(Sahu,2008), coal bed methane, and
gases in the fractured shales. Abundant hydropower energy, currently
untapped, must be developed by construction of dams and reservoirs on
riverbeds which benefits the society also for irrigation, agricultural
products, waterways and water supply, recreation facility etc. India is lucky
to possess sufficient Atomic and industrially required minerals, fertile
soils, and a variety of natural resources waiting for sustainable
development through time series modeling and long-run
forecasting(Sahu,2003).Cost-efficient Si solar cells or As-B solar cells may
also be developed and biofuels generation from molasses (rather than corn)
are to be adapted. Optimal management of water resources is of utmost
importance and allocation, pricing and linking should be developed
watershed-wise(Sahu,2006a,b;2007c,d).Neuro-fuzzy-genetic algorithms
accounting for inherent nonlinearities, imprecissions in geologic processes &
products and yielding global rather than local maxima/minima are needed for
sustainable decisions and to discover optimal indicators for energy and
material resources managements (Letcher & Giupponi,2005; Sahu,2003,2006
a,b;2007 a,c,d).
Earth scientists also face challenges from natural disasters
like flash floods, draughts, cyclones, landslides, earthquakes, tsunamis,
volcanisms and natural and anthropogenic pollutions. These events cannot be
predicted nor can be stopped. However, their destructive intensities can be
reduced through public availability of hazard mitigation policies and
practices developed by studying hazard-zonation and accompanied risk
function maps prepared by earth scientists and other professionals I hope
that this note would be useful to the authorities and the public concerned
with sustainable growth in the 21st Century. I welcome
suggestions and comments from the readers.
Suggested Readings:
Holdren,J.P.,2007,Energy and
Sustainability,Science,315,p.737.
Manahan,S.E.,2007,Environmental Science and Technology: A
sustainable approach to
green science and technology.CRC
Press,Boca Raton,646p.
Letcher R.A., and Giupponi,C.,2005,Policies and tools for
sustainable water management
in the European Union.Env. Modelling &
Software, 20:93-98
Sahu,B.K.,2003,Time series modeling in Earth Sciences.
A.A.Balkema,
Lisse,Netherlands,284p.
Sahu,B.K.,2004,Plea for introducing Mathematics Courses in
Geology Programmes.DST
Seminar, Delhi Univ.,Delhi 8p.
Sahu,B.K.,2005,Statistical models in earth
sciences,B.S.Publns.,Hyderabad,211p.
Sahu,B.K.,2006a,Groundwater modeling in hard rock
terrainsIn:NC Ghosh & KD
Sharma (eds)Groundwater Modelling
and Management,Capital
Publ,New Delhi,594p
Sahu,B.K.,2006b,Allocation and Pricing policy for Groundwater
Resources>Proc.12th
Natl Conf Groundwater Ownership etc.New
Delhi(NIH-CGWB) p.437-443.
Sahu,B.K.,2007a,Mathematical Analysis and Modelling in Earth
System
Sciences.Geospectrum Interface,Vol.II(1), 52-54.
Sahu,B.K.,2007b,Earth Sciences: Teaching,Research and
Development> Invited Special
Lecture,IIT Kharagpur, Nov.2007, 10p.
Sahu,B.K.,2007c,Sustainable and optimal water management of
monsoonal floods in
Indian Metros.In: Vistas In Geol. Res.
Vol.6,R.N.Hota (ed.),p.129-133.
Sahu,B.K.,2008,Hydrocarbon exploration in deepwater clastic
reservoirs in offshore
regions of Orissa.Internl Conf Tectonics of Indian
Subcontinent,IIT Bombay, 10p.
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