Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.5004/dwt.2020.25088 |
Analysis and prediction of annual precipitation values in Cyprus | |
Gokcekus, Huseyin; Kiral, Ersin; Kiral, Gulsen; Eini, Nima; Uzun, Berna | |
通讯作者 | Uzun, B (corresponding author), Near East Univ, Res Ctr Expt Hlth Sci, POB 99138,Mersin 10, Nicosia, Trnc, Turkey. ; Uzun, B (corresponding author), Near East Univ, Fac Arts & Sci, POB 99138,Mersin 10, Nicosia, Trnc, Turkey. |
会议名称 | 2nd International Conference on Water Problems in the Mediterranean Countries (WPMC) |
会议日期 | MAY 06-10, 2019 |
会议地点 | Near E Univ, Lefkosa, CYPRUS |
英文摘要 | This present work studies the prediction of water resource quantity in Cyprus by using the mathematical technique called the Markov chains of the fuzzy states (MCFS) prediction method. This region is considered as a poor water country in Europe with a semi-arid climate that also has a frequent occurrence of drought and limited water resources that are mainly dependent on rainfall. Cyprus is suffering from unevenly distributed rainfall and small catchments, where extreme drought events are suspected due to climate change. The water policy in Cyprus is based on two pillars: sustainable development of water resources and water demand management. Around 1970 changes in the rainfall pattern in addition to population growth led to critical situations in many aquifers, which deteriorated due to the intrusion of seawater intrusion into the aquifer. Hence, the estimation of water resource values and water consumption for the following decades is important to implement effective management plants. By collecting and analyzing 100 years of standardized precipitation index data the future expected precipitation probabilities of the island of Cyprus were estimated using Markov chains (MC) and MCFS analysis. For this purpose, the inter-state transition probability matrix of the system has been determined and long-term equilibrium vectors have been calculated to determine the stability of the system. This study shows that the use of the MCFS gives more sensitive results for the prediction of future precipitation than the classical MC model. |
英文关键词 | Annual precipitation Rainfall Markov chain of the fuzzy states Stochastic processes Water resource management |
来源出版物 | DESALINATION AND WATER TREATMENT |
ISSN | 1944-3994 |
EISSN | 1944-3986 |
出版年 | 2020 |
卷号 | 177 |
页码 | 275-282 |
出版者 | DESALINATION PUBL |
类型 | Article; Proceedings Paper |
语种 | 英语 |
收录类别 | CPCI-S |
WOS记录号 | WOS:000544993600028 |
WOS关键词 | MARKOV-CHAIN MODEL ; FLOOD PREDICTION ; RAINFALL ; ERROR ; UNCERTAINTY ; REGION |
WOS类目 | Engineering, Chemical ; Water Resources |
WOS研究方向 | Engineering ; Water Resources |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/337039 |
作者单位 | [Gokcekus, Huseyin; Eini, Nima] Near East Univ, Fac Civil & Environm Engn, POB 99138,Mersin 10, Nicosia, Trnc, Turkey; [Kiral, Ersin; Kiral, Gulsen] Cukurova Univ, Dept Econometr, Fac Econ & Adm Sci, POB 01330, Adana, Turkey; [Uzun, Berna] Near East Univ, Res Ctr Expt Hlth Sci, POB 99138,Mersin 10, Nicosia, Trnc, Turkey; [Uzun, Berna] Near East Univ, Fac Arts & Sci, POB 99138,Mersin 10, Nicosia, Trnc, Turkey |
推荐引用方式 GB/T 7714 | Gokcekus, Huseyin,Kiral, Ersin,Kiral, Gulsen,et al. Analysis and prediction of annual precipitation values in Cyprus[C]:DESALINATION PUBL,2020:275-282. |
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