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Showing posts with the label peer reviewed environmental journals

Book Review 'Sustainability in Health Centres' (Spanish Version) - Juniper Publishers

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  Juniper Publishers- Open Access Journal of Environmental Sciences & Natural Resources Book Review 'Sustainability in Health Centres' (Spanish Version) Authored by Uqbah Iqbal Mini Review Written by Dr. Enric Auli Mellado, every new building must be sustainable, but it must also be healthy. The concepts of health, sustainability and building are clearly linked; to protect the environment, but also so that people can achieve our full physical, mental and psychic. When talking about healthy buildings, it's not just about avoiding "sick buildings", buildings that cause diseases (so abundant lately), but we have to achieve "healing buildings" that promote our health in the broadest sense of health term. This is especially true for those constructions destined for sanitary uses tables. Help build and manage buildings that protect the environment and health, and favor reiten the fullness of human development is the objective of this publication. An editio

Development of pre harvest forecasting model for Chhattisgarh plain Zone on Pigeonpea by Principal Component Analysis- Juniper Publishers

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Juniper Publishers- Open Access Journal of Environmental Sciences & Natural Resources Development of pre harvest forecasting model for Chhattisgarh plain Zone on Pigeonpea by Principal Component Analysis Authored by Gaind lal Abstract The present investigation deals with the model have been also developed by Principal Component Analysis on districts level and zone level as well. Models fitted with 2 Principal Components (PC1 and PC2) and Time trend (T). Models are highly significant and R2 value 69% for Pigeonpea and for CG plain Zone is also highly significant at 0.1% level of significance. The present investigation covers under the study of individual effect of weather variables, joint effect of weather variables forecasting model developed through stepwise regression technique following the concept of older studies by the different scientists in this direction for many crops. The principal component analysis has been also taken for the development of forecasting model.