4.6 Article

Effects of Climate Change on Water Quality in the Jucar River Basin (Spain)

期刊

WATER
卷 13, 期 17, 页码 -

出版社

MDPI
DOI: 10.3390/w13172424

关键词

urban water supply; climate change; resilience; water treatment; water quality

资金

  1. Agencia Valenciana de la Innovacio, through the study Aplicacion de los servicios climaticos para el desarrollo de una estrategia de adaptacion al cambio climatico de los sistemas urbanos de abastecimiento [INNTA3/2020/14]
  2. EIT Climate-KIC [EIT-CKIC-TC_2.13.7_190799]
  3. Ministry for the Ecological Transition and the Demographic Challenge (MITECO) of the Spanish Government under the IMpacts of climate change on wetlands Affected by GroUndwAter (IMAGUA) project

向作者/读者索取更多资源

This study analyzed the effects of climate change on the raw water quality of the Jucar River Basin District in Spain, showing that the model performance of water quality simulation varies with different time windows. In future scenarios, an increase in conductivity is projected for the Jucar River station, calling for measures to adapt to this change.
The Mediterranean region is a climate change hotspot, especially concerning issues of hydrological planning and urban water supply systems. In this context, the Jucar River Basin (Spain) presents an increase of frequency, intensity and duration of extreme meteorological phenomena, such as torrential rains, droughts or heat waves, which directly affect the quantity and quality of raw water available for drinking. This paper aims to analyze the effects of climate change on the raw water quality of the Jucar River Basin District, which mainly supplies the city of Valencia and its metropolitan area, in order to adapt drinking water treatments to new conditions and opportunities. For this purpose, we used observed data of water quality parameters from four stations and climate drivers from seven Earth system models of the latest Coupled Model Intercomparison Project-Phase 6. To model water quality (turbidity and conductivity) in the past and future scenarios, this study employs a backward stepwise regression taking into account daily values of mean temperature, maximum temperature, total rainfall and minimum and maximum relative humidity. Results showed that the model performance of the water quality simulation is more adequate for short moving-average windows (about 2-7 days) for turbidity and longer windows (about 30-60 days) for conductivity. Concerning the future scenarios, the most significant change was found in the projected increase of conductivity for the station of the Jucar river, between 4 and 11% by 2100, respectively, under the medium (SSP2-4.5) and pessimistic (SSP5-8.5) emission scenarios. The joint use of these types of management and monitoring tools may help the managers in charge of carrying out the different water treatments needed to apply a better plan to raw water and may help them identify future threats and investment needs to adapt the urban water supply systems to the changing conditions of raw water, such as turbidity or conductivity, as a consequence of climate change.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据