Assessing the value of information for water quality management in the North Sea

被引:34
作者
Bouma, J. A. [1 ]
van der Woerd, H. J. [1 ]
Kuik, O. J. [1 ]
机构
[1] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands
关键词
Value of information; Bayesian decision theory; Marine water quality; Water resource management; Stakeholder consultation; Satellite observation; EARTH-SCIENCE; PHYTOPLANKTON; TECHNOLOGY;
D O I
10.1016/j.jenvman.2008.07.016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Global Earth Observation (GEO) is one of the most important sources of information for environmental resource management and disaster prevention. With budgets for GEO increasingly under pressure, it is becoming important to be able to quantify the returns to informational investments. For this, a clear analytical framework is lacking. By combining Bayesian decision theory with an empirical, stakeholder-oriented approach, this paper attempts to develop such a framework. The analysis focuses on the use of satellite observations for Dutch water quality management in the North Sea. Dutch water quality management currently relies on information from 'in situ' measurements but is considering extending and deepening its information base with satellite observations. To estimate returns to additional investments in satellite observation, we analyze the added value of an extended monitoring system for the management of eutrophication, potentially harmful algal blooms and suspended sediment and turbidity in the North Sea. First, we develop a model to make the potential contribution of information to welfare explicit. Second, we use this model to develop a questionnaire and interpret the results. The results indicate that the expected welfare impact of investing in satellite observation is positive, but that outcomes strongly depend on the accuracy of the information system and the range of informational benefits perceived. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1280 / 1288
页数:9
相关论文
共 36 条
[1]   Phytoplankton in the Marsdiep at the end of the 20th century;: 30 years monitoring biomass, primary production, and Phaeocystis blooms [J].
Cadée, GC ;
Hegeman, J .
JOURNAL OF SEA RESEARCH, 2002, 48 (02) :97-110
[2]   The role of remote sensing technology in the EU water framework directive (WFD) [J].
Chen, QL ;
Zhang, YZ ;
Ekroos, A ;
Hallikainen, M .
ENVIRONMENTAL SCIENCE & POLICY, 2004, 7 (04) :267-276
[3]   An introduction to Bayesian inference for ecological research and environmental decision-making [J].
Ellison, AM .
ECOLOGICAL APPLICATIONS, 1996, 6 (04) :1036-1046
[4]  
*EUR COMM, 2007, 212 COM EUR COMM
[5]  
*EUR ENV AG, 2003, 86 EUR ENV AG
[6]  
Fernandez M.L., 2003, Manual on Harmful Marine Algae, P657
[7]  
FRITZ S, IEEE SYSTEM IN PRESS
[8]  
Glibert P.M., 2005, OCEANOGRAPHY, V18, P132
[9]  
*GOESS, 2004, 2031 GEOSS AD HOC GR
[10]  
HAKVOORT H, 2006, INNOVATIE AARDOBSERV