Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Water  /  Vol: 7 Núm: 6 Par: June (2015)  /  Artículo
ARTÍCULO
TITULO

Using Pressure and Alteration Indicators to Assess River Morphological Quality: Case Study of the Prahova River (Romania)

Gabriela Ioana-Toroimac    
Liliana Zaharia and Gabriel Minea    

Resumen

No disponible

 Artículos similares

       
 
Daniel Castro-López, Pablo Rodríguez-Lozano, Rebeca Arias-Real, Víctor Guerra-Cobián and Narcís Prat    
The Earth?s freshwater ecosystems are currently under threat, particularly in developing countries. In Mexico, intensive land use and inadequate monitoring policies have resulted in the severe degradation of the country?s freshwater ecosystems. This stud... ver más
Revista: Water

 
António Carlos Pinheiro Fernandes, Luís Filipe Sanches Fernandes, Daniela Patrícia Salgado Terêncio, Rui Manuel Vitor Cortes and Fernando António Leal Pacheco    
Interactions between pollution sources, water contamination, and ecological integrity are complex phenomena and hard to access. To comprehend this subject of study, it is crucial to use advanced statistical tools, which can unveil cause-effect relationsh... ver más
Revista: Water

 
Zhenzhen Di, Miao Chang, Peikun Guo, Yang Li and Yin Chang    
Most worldwide industrial wastewater, including in China, is still directly discharged to aquatic environments without adequate treatment. Because of a lack of data and few methods, the relationships between pollutants discharged in wastewater and those ... ver más
Revista: Water

 
Fei Wang, Zongmin Wang, Haibo Yang, Yong Zhao, Zezhong Zhang, Zhenhong Li and Zafar Hussain    
Drought is a complex natural phenomenon that occurs throughout the world. Analyzing and grasping the occurrence and development of drought events is of great practical significance for preventing drought disasters. In this study, the Standardized Precipi... ver más
Revista: Water

 
Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa and Takuya Yoshihiro    
River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological... ver más
Revista: Water