Kinneret盐度模拟研究综述及实用建议

M. Gophen
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引用次数: 4

摘要

已经开发了两种评估和预测盐度变化的模型(氯化物浓度;ppm;[Cl])在Kinneret湖。分别是:1)基于湖泊盐分平衡和水文收支的RM;2)基于Kinneret地质构造地质水文区域特性的GM。两者的概念部分不同:RM将径流减少与盐度升高联系起来,而GM将盐通量与含水层产量联系起来,而忽略了湖泊水位的影响。长期的统计分析证明了支持转基因的合理性,排除了严重洪水的情况。本文是一个补充的扩展时间研究和模型回顾相结合的研究。在旨在防止盐度和富营养化增加的限制框架内,提出了关于Kinneret水文管理的实际结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Modeling of Kinneret Salinity with Practical Recommendations
Two models have been developed for the evaluation and prediction of salinity changes (chloride concentration; ppm; [Cl]) in Lake Kinneret. They are: 1) RM, which is based on the Salt balance and hydrological budget of the lake; 2) GM which is based on the geo-hydrological regional properties of Kinneret’s geological structure. The concept of both is partly different: RM is correlating reduction of runoffs to salinity elevation and GM relates salt flux to the aquifer yield and the impact of lake water level is neglected. Long term statistical analyses justify support to GM, excluding conditions of heavy floods. This paper is a combination of a supplemental extended temporal study and a models review. Practical conclusions on Kinneret hydrological management within a frame of constrains aimed at prevention of salinity and eutrophication increase are presented.
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