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来源类型 | FEEM working papers "Note di lavoro" series |
规范类型 | 论文 |
An Information-Theoretical Analysis of Budget-Constrained Nonpoint Source Pollution Control | |
Jonathan D. Kaplan; Richard E. Howitt; Y. Hossein Farzin | |
发表日期 | 2001 |
出处 | Climate Change and Sustainable Development |
出版年 | 2001 |
语种 | 英语 |
摘要 | This paper analyses budget-constrained, nonpoint source (NPS) pollution control with costly information acquisition and learning. To overcome the inherent ill-posed statistical problem in NPS pollution data the sequential entropy filter is applied to the sediment load management program for Redwood Creek, which flows through Redwood National Park in northwestern California. We simulate the dynamic budget-constrained management model with informationacquisition and learning, and compare the results with those from the current policy. The analysis shows that the manager can reallocate resources from treatment effort to information acquisition, which in turn increases overall treatment effectiveness, and reduces sediment-related damage. |
特色分类 | D61,D81,D83,Q28 |
关键词 | Nonpoint Source Pollution,pollution control budget,information acquisition,treatment effectiveness,entropy |
URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/an-information-theoretical-analysis-of-budget-constrained-nonpoint-source-pollution-control/ |
来源智库 | Fondazione Eni Enrico Mattei (Italy) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/116634 |
推荐引用方式 GB/T 7714 | Jonathan D. Kaplan,Richard E. Howitt,Y. Hossein Farzin. An Information-Theoretical Analysis of Budget-Constrained Nonpoint Source Pollution Control. 2001. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
NDL2001-031.pdf(409KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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