Spatial Accounting of Environmental Pressure and Resource Consumption Using Night-light Satellite Imagery

Modern societies and economies are highly dependent on fossil energy for their survival. Unfortunately fossil energy resources and minerals are non-renewable and represent finite stocks. Consequently, societies and economies (production, trade and consumption modes) should be reorganized according to the awareness of less resource availability in the future. “Degrowth” and “prosperous way down patterns” have been suggested in order to avoid economic collapse and global societal turmoil and conflicts. This work assesses the dependence of a regional economy (Campania Region, Southern Italy) on non-renewable resources, by means of joint use of spatial modeling and Emergy Accounting. The Emergy method takes into account all the free environmental inputs (such as sunlight, wind, rain, geothermal heat) as well as the input flows of mineral and fossil energy resources, expressed in terms of their solar energy equivalents. Nonrenewable resources used within the regional economy were correlated to nighttime satellite images via GIS (Geographic Information System) methodology, to explore the load of human activities on landscape and ecological communities and to define a human disturbance gradient throughout the Region. This gradient was expressed by means of an emergy-based indicator, the Landscape Development Intensity index (LDI). Results show a high dependence of Campania Region economy from imported resources (about 85% of the total emergy used, U) and a high concentration of non-renewable flows in Napoli and Caserta Provinces. These two regional areas have much higher LDI indices, 44 and 36 respectively, suggesting the need for appropriate land use management actions capable to lower the environmental pressure to more sustainable levels. © 2013 L&H Scientific Publishing, LLC. All rights reserved. Keywords

[1]  J. A. Quintanilha,et al.  DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon , 2006 .

[2]  C. Elvidge,et al.  A Technique for Using Composite DMSP/OLS "City Lights"Satellite Data to Map Urban Area , 1997 .

[3]  Elisabeth C. Odum,et al.  The prosperous way down , 2001 .

[4]  Sergio Ulgiati,et al.  Energy quality, emergy, and transformity: H.T. Odum’s contributions to quantifying and understanding systems , 2004 .

[5]  M. T Brown,et al.  Embodied energy analysis and EMERGY analysis: a comparative view , 1996 .

[6]  Sven Erik Jørgensen,et al.  Handbook of Ecological Indicators for Assessment of Ecosystem Health , 2007 .

[7]  K. Reiss.  Florida Wetland Condition Index for depressional forested wetlands , 2006 .

[8]  P. Sutton,et al.  SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating Economic and Ecological Perspectives Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation , 2002 .

[9]  Estimation of night light from the DMSP/OLS , 2010 .

[10]  Enrique Ortega,et al.  Wealth, trade and the environment: Carrying capacity, economic performance and wellbeing in Brazil and Italy , 2013 .

[11]  Shu-li Huang,et al.  Energy hierarchy and urban landscape system , 2001 .

[12]  T. Pei,et al.  Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities , 2012 .

[13]  Howard T. Odum,et al.  Environmental Accounting: Emergy and Environmental Decision Making , 1995 .

[14]  Paul C. Sutton,et al.  A scale-adjusted measure of Urban sprawl using nighttime satellite imagery , 2003 .

[15]  K. Seto,et al.  Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data , 2011 .

[16]  Sergio Ulgiati,et al.  Energy and eMergy evaluation of bioethanol production from wheat in Henan Province, China , 2008 .

[17]  Yuncong C. Li,et al.  Land use disturbance indicators and water quality variability in the Biscayne Bay Watershed, Florida , 2011 .

[18]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[19]  Amalia Zucaro,et al.  An emergy–GIS approach to the evaluation of renewable resource flows: A case study of Campania Region, Italy , 2014 .

[20]  Wesley W. Ingwersen,et al.  Uncertainty characterization for emergy values , 2010 .

[21]  Joseph Sarkis,et al.  Measuring China's Circular Economy , 2013, Science.

[22]  K. Seto,et al.  Multi-level modeling of urban expansion and cultivated land conversion for urban hotspot counties in China , 2012 .

[23]  Sergio Ulgiati,et al.  Emergy, transformity, and ecosystem health. , 2005 .

[24]  C. Murray,et al.  From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery , 2005, International journal of health geographics.

[25]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[26]  Steffen Beirle,et al.  Global distribution pattern of anthropogenic nitrogen oxide emissions: Correlation analysis of satellite measurements and model calculations , 2006 .

[27]  Ligia Tiruta-Barna,et al.  A conceptual framework and interpretation of emergy algebra , 2013 .

[28]  Sergio Ulgiati,et al.  Understanding the global economic crisis: A biophysical perspective , 2011 .

[29]  J. Muller,et al.  Mapping regional economic activity from night-time light satellite imagery , 2006 .

[30]  Noam Levin,et al.  High spatial resolution night-time light images for demographic and socio-economic studies , 2012 .

[31]  B. Wilkinson,et al.  THE IMPACT OF HUMANS ON CONTINENTAL EROSION AND SEDIMENTATION (Invited) , 2007 .

[32]  Mark T. Brown,et al.  LANDSCAPE DEVELOPMENT INTENSITY INDEX , 2005, Environmental monitoring and assessment.

[33]  Alastair Couper,et al.  The Times atlas of the oceans , 1983 .

[34]  Sergio Ulgiati,et al.  Assessing geobiosphere work of generating global reserves of coal, crude oil, and natural gas , 2011 .

[35]  Patrizia Ghisellini,et al.  Environmental performance and biophysical constrains of Italian agriculture across time and space scales , 2013 .

[36]  Zhifeng Liu,et al.  Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .

[37]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[38]  Mark T. Brown,et al.  Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline , 2010 .

[39]  Mario Giampietro,et al.  A multi-scale analysis of urban waste metabolism: Density of waste disposed in Campania , 2012 .

[40]  D. Roberts,et al.  Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .