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Full Description
Statistics in Environmental Monitoring and Assessment details how statistics plays an essential role in every step of an environmental monitoring and assessment program, from the sampling design to the data management, and data analysis methods to extract meaningful information for environmental quality management.
Large temporal and spatial variations of the environmental variables present a great challenge for producing a representative characterization of the status of any given environmental media, water, air, biota, or solid. This book explains these issues in an easy-to-understand manner and illustrates using actual applications in real-life case studies, each of which comes with a clear explanation for every related fundamental concept and methodology that details the statistical methods used in the analysis and considerations taken when using a particular method.
Primarily intended for graduate students in environmental sciences who wish to use statistics as a research tool, it will also benefit researchers who are interested in applications of statistical methods for designing environmental monitoring programs and analysis of environmental data to assess the status of various environmental matrices. This book is organised in three parts with Part I providing a review of the basics of statistics, Part II focusing on sampling designs, and Part III focusing on applications of statistical methods for data analysis.
Contents
Preface About the authors 1 Introduction PART I Fundamentals of Statistics 2 Descriptive and Inferential Statistics 3 Sample and Distribution 4 Inferential Statistics 5 Analysis of variance 6 Correlation and Regression Analysis 7 Multivariate analyses PART II Applications for Sampling and Measurement 8 Monitoring tool in environmental quality management 9 Sampling design from theory to practical applications in environmental monitoring 10 Industrial pollution monitoring 11 Monitoring to Assess the Impacts of Industrial Discharges on The Environment 12 Design and implementation of ambient air pollution monitoring programme in Asian regional project of AIRPET 13 Sampling and analysis for particulate matter: Kashima SPM study 14 Temporal resolution and averaging time of concentrations 15 Spatial resolution of concentration data and optimal placement of monitoring stations 16 Quality assurance of the IPCAJ's acid rain study 17 Quality assurance of air tracer dispersion experiments for roadways 18 Characteristics of concentrations calculated by air quality model 19 Evaluation of air quality model performance PART III Applications for Data Analysis 20 Types of statistical data and analysis methods suitable for their analysis 21 Applications of principal component analysis and exploratory factor analysis 22 Statistical analyses for air quality predictions 23 Receptor models 24 Statistical analysis methods for questionnaire survey data: Case studies on environmental valuation
