色万湖水质指标的计算及其在水质评价中的应用

Pub Date : 2023-11-24 DOI:10.1134/s0097807823030041
G. H. Babayan, A. A. Zhukova, Yu. K. Veres
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引用次数: 0

摘要

摘要本文以某大型高山湖泊为例,介绍了长期水位不稳定、形态变化(人工水位下降19 m后又上升4 m以上)的水质评价方法的选择与实施。为这样一个水体选择水质评价程序需要非标准的解决方案。这是利用现代修改的德尔菲专家小组方法。这种方法给出了相对于所有管理者为达到和保持水质而努力争取的初始/理想状态的水质定量估计。Sevan湖水质指数SWQI是基于7个优先特征,并考虑了每个优先特征的权重。该指数的长期动态证实了湖泊水位上升对水质的管理影响:最低水位年份(1976-1990年)水质较差(SWQI最小值= 20),最高水位年份(2016-2020年)水质较好(SWQI最大值= 69);(相关系数0.82)。所使用的指数SWQI的优点包括该指数对数据库可用性的依赖性相对较低,并且可以使用该估计来平衡环境和社会经济利益。SWQI模型的一般方法可用于评价世界范围内此类湖泊的水质。
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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Calculation of Water Quality Index and Its Use for Water Quality Assessment in Lake Sevan

Abstract

The article gives an example of the choice and implementation of a method for water quality assessment for a large high-mountain lake with long-term unstable level regime and variable morphometry (artificial level decrease by 19 m followed by an increase by 4 m and more). The choice of a procedure for water quality assessment for such a water body requires non-standard solutions. This is made with the use of a modern modification of the Delphi expert panel method. This method gives a quantitative estimate of water quality relative to the initial/desirable state that all managers strive for in order to achieve and maintain water quality. The index of Lake Sevan water quality index SWQI is based on seven priority characteristics with the weight of each of them taken into account. The long-term dynamics of this index confirmed the managerial impact of lake level rise on water quality: a poor water quality (a minimal value of SWQI = 20) was recorded in the years of the lowest level (1976–1990), while a good water quality (the maximal value of SWQI = 69), in the years of highest level (2016–2020); (the coefficient of correlation was 0.82). The advantages of the used index SWQI include the relatively low dependence of the index on the availability of a database and the possibility to use the estimate for balancing the environmental and socioeconomic interests. The general approach to SWQI model can be used to evaluate the water quality of such lakes all over the world.

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