| 書目名稱 | Engineering Risk in Natural Resources Management | | 副標題 | With Special Referen | | 編輯 | L. Duckstein,E. Parent | | 視頻video | http://file.papertrans.cn/311/310927/310927.mp4 | | 叢書名稱 | NATO Science Series E: | | 圖書封面 |  | | 描述 | The purpose of this paper is to present a methodology for estimating space-time stochastic properties of local climatic factors reflecting global climate change. Specifically, daily precipitation amount and daily mean temperature are considered and illustrated with application to the state of Nebraska, U. S. A. Furthermore, a drought index with and without global climate change is examined. The magnitude and consequences of regional response to anticipated climatic changes are uncertain (Houghton et al. , 1990). Typical questions to be answered are: can time series of hydrological events or 10cal climatic variables such as daily temperature be conditioned in scenarios of future climate change and if so, how can this be utilized ? Can extreme historical drought events be reproduced by a stochastic hydroc1imatological model ? Can such a model be used with General Circu1ation Model (GCM) outputs to evaluate the regional/local effects of climate change scenarios? The approach presented in this paper is an extension of the usual analysis of regional hydrometeorological impacts of climate change: we propose to examine time series of GCM- produced daily atmospheric circulation patterns (C | | 出版日期 | Book 1994 | | 關(guān)鍵詞 | Change; Precipitation; Storm; Storm surge; development; linear optimization; management; system; hydrogeolog | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-8271-1 | | isbn_softcover | 978-90-481-4441-9 | | isbn_ebook | 978-94-015-8271-1Series ISSN 0168-132X | | issn_series | 0168-132X | | copyright | Springer Science+Business Media B.V. 1994 |
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