评估阿雷基帕的水文气象监测基础设施,以支持水管理决策

André Geraldo de Lima Moraes, Edwin Bocardo-Delgado, Laura C. Bowling, Fariborz Daneshvar, José Pinto, Alec Hale Watkins, Keith Aric Cherkauer
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引用次数: 4

摘要

对天气、水流和水质进行水文气象监测对于了解可用水资源、保护人口免受危害以及识别环境条件随时间的变化至关重要。为了满足这些相互竞争的目标,监测网络需要有代表性的参数、统一的采样协议和稳定的位置,以可靠地测量感兴趣的现象。然而,预算总是有限的,而直接的业务需求和短期决策往往会影响监测决策。在这里,根据既定标准对秘鲁阿雷基帕的水文气象监测系统进行审查,以确定其支持这些相互竞争的目标的能力。秘鲁的阿雷基帕省有一个完善的、稳定的天气监测项目,尽管依赖人工观测者导致数据质量不稳定。高海拔地区缺乏观测资料限制了对可用水量的估计,需要高时间分辨率的自动站来改进山洪预警。河流流量监测系统的设计是为了量化整个严格管理系统的水转移。21个排放监测站被确定为历史水文参考站,但其中许多监测站仅在20世纪60年代和70年代运作,不能用于评价环境趋势。已确定应维持12个台站,以建立今后的参考网。国家资助的水质监测在该部是相当新的,分层抽样方法已被用于最大限度地扩大取样地点。在中等大小的支流较少的地点进行均匀采样,每年至少两次,将提高系统的可靠性,并能够更好地检测随时间的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Assessment of Arequipa's Hydrometeorological Monitoring Infrastructure to Support Water Management Decisions

Hydrometeorological monitoring of weather, streamflow, and water quality is essential for understanding available water resources, protecting populations from hazard, and identifying changes in environmental conditions over time. To meet such competing goals, monitoring networks require representative parameters, uniform sampling protocols, and stable locations, selected to reliably measure the phenomenon of interest. However, budgets are always limited, and immediate operational needs and short-term decisions often influence monitoring decisions. Here, the hydrometeorological monitoring systems in Arequipa, Peru, are examined with respect to established criteria for their ability to support these competing goals. The Arequipa Department in Peru has a well-established, stable, weather monitoring program, although reliance on manual observers results in variable data quality. The lack of observations in high altitude areas limits estimation of water availability, and high temporal resolution, automatic stations are needed to improve flash flood warnings. The streamflow monitoring system is designed to quantify water transfers throughout this heavily managed system. Twenty-one discharge monitoring stations were identified to serve as Historic Hydrologic Reference Stations, but many were only operational in the 1960s and 1970s and cannot be used to evaluate environmental trends. Twelve stations are identified that should be maintained for establishment of a future reference network. State sponsored water quality monitoring in the Department is fairly new, and a stratified sampling method has been used to maximize sample locations. Uniform sampling in fewer locations along intermediate sized tributaries, at least two times per year, would improve the reliability of the system and allow better detection of change over time.

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