Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Water  /  Núm: Vol. 11 Par: PP (PP)  /  Artículo
ARTÍCULO
TITULO

Temporal Effects of Groundwater on Physical and Biotic Components of a Karst Stream

Tao Tang    
Shuhan Guo    
Lu Tan    
Tao Li    
Ryan M. Burrows and Qinghua Cai    

Resumen

Although most lotic ecosystems are groundwater dependent, our knowledge on the relatively long-term ecological effects of groundwater discharge on downstream reaches remains limited. We surveyed four connected reaches of a Chinese karst stream network for 72 consecutive months, with one reach, named Hong Shi Zi (HSZ), evidently affected by groundwater. We tested whether, compared with other reaches, HSZ had (1) milder water temperature and flow regimes, and (2) weaker influences of water temperature and flow on benthic algal biomass represented by chlorophyll a (Chl. a) concentrations. We found that the maximum monthly mean water temperature in HSZ was 0.6 °C lower than of the adjacent upstream reach, and the minimum monthly mean water temperature was 1.0 °C higher than of the adjacent downstream reach. HSZ had the smallest coefficient of variation (CV) for water temperature but the largest CV for discharge. Water temperature and discharge displayed a significant 12-month periodicity in all reaches not directly groundwater influenced. Only water temperature displayed such periodicity in HSZ. Water temperature was an important predictor of temporal variation in Chl. a in all reaches, but its influence was weakest in HSZ. Our findings demonstrate that longer survey data can provide insight into groundwater?surface water interactions.

 Artículos similares

       
 
Pengfei Ning, Dianjun Zhang, Xuefeng Zhang, Jianhui Zhang, Yulong Liu, Xiaoyi Jiang and Yansheng Zhang    
The Array for Real-time Geostrophic Oceanography (Argo) program provides valuable data for maritime research and rescue operations. This paper is based on Argo historical and satellite observations, and inverted sea surface and submarine drift trajectori... ver más

 
Yang Liu and Qianqian Zhang    
Analyzing 165 data from five national control sites in Baiyangdian Lake, this study unveils its spatiotemporal pattern of water quality. Utilizing machine learning and multivariate statistical techniques, this study elucidates the effects of rainfall and... ver más
Revista: Water

 
Xing Xie, Xinjun Tu, Jinglei Zhu, Vijay P. Singh and Yuanyuan Chai    
Given China?s status as one of the most water-scarce countries globally, its rapid development of urbanization and sustained economic growth have led to increasing pressure on the urban water supply. Water pricing is also receiving increasing attention a... ver más
Revista: Water

 
Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu    
The COVID-19 pandemic has had a profound impact on people?s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI... ver más

 
Daniel Gugerell, Benedikt Gollan, Moritz Stolte and Ulrich Ansorge    
Task batteries mimicking user tasks are of high heuristic value. Supposedly, they measure individual human aptitude regarding the task in question. However, less is often known about the underlying mechanisms or functions that account for task performanc... ver más
Revista: Applied Sciences