基于气候水文判据的沙漠化预警系统

Desert Pub Date : 2019-12-01 DOI:10.22059/JDESERT.2019.76359
R. Masoudi, G. Zehtabian, F. Jafary, A. Loáiciga
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引用次数: 0

摘要

联合国关于沙漠化的公约鼓励参加国引进发展早期预警系统(EWS)的标准,以便监测和评估沙漠化。本研究的目的是利用实用和普遍适用的方法,建立伊朗卡山平原沙漠化评价的生态系统。设计生态系统需要一个模型来确定影响标准和易受荒漠化影响的地区。卡尚平原的EWS依靠伊朗荒漠化潜力评估模型(IMDPA)来建立荒漠化阈值,并利用地理信息系统(GIS)生成荒漠化地图。设计了喀山平原EWS,用于计算水文(地下水位和地下水电导率指数)和气候(降水、Transeau干旱和干旱指数)指标,并对区域荒漠化程度进行评价。然后,制作标准和指标的沙漠化强度图并进行重叠。生态预警系统是在最容易受到沙漠化威胁的地区开发的。EWS量化荒漠化数据和阈值,发布荒漠化评估和预警,用于管理目的。下一步,根据Java编程语言定义的算法设计Client-Server程序,并实现为数据收集、分析和响应管理系统。当阈值超过定义的限制时,可以通过SMS或internet向相关系统管理人员发送警告消息,以便采取适当的行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early-Warning System for Desertification Based on Climatic and Hydrologic Criteria
The United Nations’ convention on desertification encourages the participating countries to introduce criteria for developing Early-Warning Systems (EWS) in order to monitor and assess desertification. The objective of the present study was to establish an EWS for desertification assessment in Kashan plain, Iran, using the methodology of practical and general applicability. Designing EWS requires a model to identify the influential criteria and areas vulnerable to desertification. The Kashan Plain’s EWS relies on the Iranian Model for Desertification Potential Assessment (IMDPA) to establish desertification thresholds and generate desertification maps with Geographic Information Systems (GIS). The EWS of Kashan plain was designed to calculate hydrologic (groundwater level and electric conductivity of groundwater indices) and climatic (precipitation, Transeau aridity, and drought indices) criteria and assess the degree of regional desertification.  Afterwards, the desertification intensity maps of criteria and indices were produced and overlapped. The EWS was developed in areas most bound to be threatened by desertification. EWS quantifies desertification data and thresholds to issue desertification assessments and warnings for management purposes. In the next step, Client–Server program was designed based on an algorithm defined by Java programming language and implemented as a data collection, analysis, and response management system. Whenever the thresholds exceed the defined limits, warning messages can be sent via SMS or internet to relevant system managers for appropriate action.
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