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多维水位和水质响应Xingyun湖严重干旱的水质响应
Junxu Chen1,2, Jia Xu1, Qi Yi1
1International Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Heliyon
|June 17, 2024
概括
严重的干旱严重影响湖泊水位和水质,导致水质恶化. 一种新的方法揭示了同步变化,并确定了TP和TN等关键污染物,帮助水资源管理战略.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水质管理水质管理
背景情况:
- 干旱压力严重影响湖泊水的数量和质量,对水源安全构成风险,并阻碍污染恢复.
- 缺乏对干旱对水体多维影响的系统理解.
- 中国的兴云湖从2009年到2014年经历了严重的干旱,需要对其影响进行调查.
研究的目的:
- 建立一种综合方法,用于在严重干旱条件下检测水质和水位变化.
- 分析干旱期间兴云湖水质和水量的同步和多维变化.
- 确定干旱影响的关键水质指标和污染物,以实现有效的水资源管理.
主要方法:
- 开发了一种综合方法,包括适用性评估的原则和三步申请流程.
- 分析了兴云湖的历史降雨数据 (2008-2015年) 和湖泊数据 (水位,深度,淹水面积).
- 在不同时间段 (1994-2000,2000-2007,2008-2015) 评估了各种水质指标 (例如TP,TN,NH3-N,DO,BOD5) 的变化.
主要成果:
- 兴云湖在2009年至2014年期间对水位和水质的干旱表现出同步和明显的反应.
- 降雨量减少了22.9%,湖泊深度降至1.38米,污染指数上升至1.21.
- 水质指标显示特征,趋势和特征发生了重大变化,TP和TN构成了主要威胁.
结论:
- 合成的方法有效地检测了严重干旱下的多维水质和水位变化.
- 干旱显著恶化水质,影响物理,化学和生物方面,TP和TN是关键污染物.
- 这些发现支持制定有针对性的干预时间和监管措施,以控制污染和恢复水质.
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