Zoning eco-environmental vulnerability for environmental management and protection

Abstract Eco-environmental vulnerability assessment is crucial for environmental and resource management. However, evaluation of eco-environmental vulnerability over large areas is a difficult and complex process because it is affected by many variables including hydro-meteorology, topography, land resources, and human activities. The Thua Thien – Hue Province and its largest river system, the Perfume River, are vital to the social-economic development of the north central coastal region of Vietnam, but there is no zoning system for environmental protection in this region. An assessment framework is proposed to evaluate the vulnerable eco-environment in association with 16 variables with 6 of them constructed from Landsat 8 satellite image products. The remaining variables were extracted from digital maps. Each variable was evaluated and spatially mapped with the aid of an analytical hierarchy process (AHP) and geographical information system (GIS). An eco-environmental vulnerability map is assorted into six vulnerability levels consisting of potential, slight, light, medium, heavy, and very heavy vulnerabilities, representing 14%, 27%, 17%, 26%, 13%, 3% of the study area, respectively. It is found that heavy and very heavy vulnerable areas appear mainly in the low and medium lands where social-economic activities have been developing rapidly. Tiny percentages of medium and heavy vulnerable levels occur in high land areas probably caused by agricultural practices in highlands, slash and burn cultivation and removal of natural forests with new plantation forests. Based on our results, three ecological zones requiring different development and protection solutions are proposed to restore local eco-environment toward sustainable development. The proposed integrated method of remote sensing (RS), GIS, and AHP to evaluate the eco-environmental vulnerability is useful for environmental protection and proper planning for land use and construction in the future.

[1]  D. Watson.  A refinement of inverse distance weighted interpolation , 1985 .

[2]  R. Shaw,et al.  Flood risk management in Central Viet Nam: challenges and potentials , 2008 .

[3]  Yeou-Koung Tung,et al.  Point Rainfall Estimation for a Mountainous Region , 1983 .

[4]  R. Shaw,et al.  Towards an integrated approach of disaster and environment management: A case study of Thua Thien Hue province, central Viet Nam , 2007 .

[5]  Long Nguyen Thanh,et al.  Application of an analytical hierarchical process approach for landslide susceptibility mapping in A Luoi district, Thua Thien Hue Province, Vietnam , 2012, Environmental Earth Sciences.

[6]  Remzi Karagüzel,et al.  Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey). , 2010, Waste management.

[7]  Martha C. Anderson,et al.  Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans , 2004 .

[8]  B. Gao.  NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[9]  S. Ng,et al.  A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou reservoir area, China. , 2009 .

[10]  Li Ruzhong,et al.  Dynamic Assessment on Regional Eco-environmental Quality Using AHP-Statistics Model—-A Case Study of Chaohu Lake Basin , 2007 .

[11]  R. Shaw,et al.  Climate disaster resilience of the education sector in Thua Thien Hue Province, Central Vietnam , 2012, Natural Hazards.

[12]  S. Hay,et al.  From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. , 1998, Parasitology today.

[13]  Y. Liou,et al.  Vanishing Ponds and Regional Water Resources in Taoyuan, Taiwan , 2015 .

[14]  Xiaoling Chen,et al.  Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes , 2006 .

[15]  José A. Sobrino,et al.  Land surface temperature retrieval from LANDSAT TM 5 , 2004 .

[16]  Lin Liu,et al.  Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong , 2011, Remote. Sens..

[17]  R. Tateishi,et al.  Relationships between percent vegetation cover and vegetation indices , 1998 .

[18]  Xianqi Zhang,et al.  Assessment Model of Ecoenvironmental Vulnerability Based on Improved Entropy Weight Method , 2014, TheScientificWorldJournal.

[19]  Yuei-An Liou,et al.  Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data , 2015, Remote. Sens..

[20]  Guangming Zeng,et al.  THE INTEGRATED ECO ENVIRONMENT ASSESSMENT OF THE RED SOIL HILLY REGION BASED ON GIS-A CASE STUDY IN CHANGSHA CITY, CHINA , 2007 .

[21]  K. Watson,et al.  Spectral ratio method for measuring emissivity , 1992 .

[22]  M. Gowrie.  Environmental Vulnerability Index for the Island of Tobago, West Indies , 2003 .

[23]  Rajat Gupta,et al.  Landslide hazard zoning using the GIS approach—A case study from the Ramganga catchment, Himalayas , 1990 .

[24]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[25]  Yuei-An Liou,et al.  Observing Land Subsidence and Revealing the Factors That Influence It Using a Multi-Sensor Approach in Yunlin County, Taiwan , 2015, Remote. Sens..

[26]  Martha C. Anderson,et al.  Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .

[27]  Zhiming Feng,et al.  Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors , 2013, Remote. Sens..

[28]  Ainong Li,et al.  Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS—A case study in the upper reaches of Minjiang River, China , 2006 .

[29]  Hossam Mahmoud Ahmad Fahmy,et al.  Reliability evaluation in distributed computing environments using the AHP , 2001, Comput. Networks.

[30]  R. DeFries,et al.  Derivation and Evaluation of Global 1-km Fractional Vegetation Cover Data for Land Modeling , 2000 .

[31]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[32]  Lin Tang,et al.  Combining AHP with GIS in synthetic evaluation of eco-environment quality - A case study of Hunan Province, China , 2007 .

[33]  Esther Rodríguez,et al.  Development of environmental quality indexes based on fuzzy logic. A case study , 2012 .

[34]  Edward J. Knight,et al.  Landsat-8 Operational Land Imager Design, Characterization and Performance , 2014, Remote. Sens..

[35]  Timothy A. Warner,et al.  Normalization of Landsat thermal imagery for the effects of solar heating and topography , 2001 .

[36]  M. Beckman.  Converging and conflicting interests in adaptation to environmental change in central Vietnam , 2011 .

[37]  Remzi Karagüzel,et al.  Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent–Uluborlu (Isparta) Basin, Turkey , 2011, Environmental monitoring and assessment.

[38]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[39]  Mark W. Patterson,et al.  Mapping Fire-Induced Vegetation Mortality Using Landsat Thematic Mapper Data: A Comparison of Linear Transformation Techniques , 1998 .

[40]  Junguo Liu,et al.  Regional assessment of environmental vulnerability in the Tibetan Plateau: Development and application of a new method , 2008 .

[41]  The Ecological Vulnerability Evaluation in Southwestern Mountain Region of China Based on GIS and AHP Method , 2010 .

[42]  Alfio Lombardo,et al.  Statistical traffic modeling and guaranteed service disciplines: a performance evaluation paradigm , 2001, Comput. Networks.

[43]  Bo K. Wong,et al.  Group decision making in a multiple criteria environment: A case using the AHP in software selection , 2002, Eur. J. Oper. Res..

[44]  D. Artis,et al.  Survey of emissivity variability in thermography of urban areas , 1982 .

[45]  Suming Jin,et al.  Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances , 2005 .

[46]  Mingwu Zhang,et al.  Combining AHP with GIS in synthetic evaluation of environmental suitability for living in China's 35 major cities , 2012, Int. J. Geogr. Inf. Sci..

[47]  Young-Seuk Park,et al.  Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. , 2004, The Science of the total environment.

[48]  N. Bhushan,et al.  Strategic Decision Making: Applying the Analytic Hierarchy Process , 2004 .

[49]  Unfccc.  Kyoto Protocol to the United Nations Framework Convention on Climate Change , 1997 .

[50]  V. Caselles,et al.  Mapping land surface emissivity from NDVI: Application to European, African, and South American areas , 1996 .

[51]  Jay Gao,et al.  Use of normalized difference built-up index in automatically mapping urban areas from TM imagery , 2003 .