The goal of this study was to analyze the impact of agriculture on the spatial and temporal variability of flow rate change indices from 1930 to 2008. The two indices used are the coefficient of immoderation (CI) and the coefficient of variation (CV). Values of these two indices are higher for the L’Assomption River agricultural watershed than for the Matawin River forested watershed due to higher runoff in the former than in the latter. The difference in these values between the two watersheds is greater for winter, but it is lower for summer, when the difference in runoff between the two watersheds is strongly attenuated by the presence of crops. Regarding the temporal variability, a difference between the two watersheds is observed in th...
Quantifying how changes in land use affect the hydrological response at the river basin scale is a c...
Forest change and climatic variability are two major drivers for influencing change in watershed hyd...
Climatic variability and cumulative forest cover change are the two dominant factors affecting hydro...
The goal of this study was to analyze the impact of agriculture on the spatial and temporal variabil...
Land use changes associated with agricultural practices can have notable effects on streamflow in ru...
Rainfed agricultural systems have become more vulnerable to climate change due to their significant ...
A data-based method to distinguish climate and land use change impacts on streamflow has been previo...
Since the flow variations of Aksu River are strongly influenced by climate change and human activiti...
Since the flow variations of Aksu River are strongly influenced by climate change and human activiti...
Several statistical methods were used to analyze the spatio-temporal variability of daily minimum ex...
Studying the effects of different land uses on evaporation and stream flow is a hot and frontier top...
Increased variability in the hydrologic cycle, including more extreme rainstorms and flood events, i...
The hydrologic system has increasingly been experiencing change due to a combination of human and na...
Study region: Nyangores River watershed, headwater catchment of Mara River basin in Kenya. Study foc...
The connections between environmental change and human activities are complex. Scientists have been ...
Quantifying how changes in land use affect the hydrological response at the river basin scale is a c...
Forest change and climatic variability are two major drivers for influencing change in watershed hyd...
Climatic variability and cumulative forest cover change are the two dominant factors affecting hydro...
The goal of this study was to analyze the impact of agriculture on the spatial and temporal variabil...
Land use changes associated with agricultural practices can have notable effects on streamflow in ru...
Rainfed agricultural systems have become more vulnerable to climate change due to their significant ...
A data-based method to distinguish climate and land use change impacts on streamflow has been previo...
Since the flow variations of Aksu River are strongly influenced by climate change and human activiti...
Since the flow variations of Aksu River are strongly influenced by climate change and human activiti...
Several statistical methods were used to analyze the spatio-temporal variability of daily minimum ex...
Studying the effects of different land uses on evaporation and stream flow is a hot and frontier top...
Increased variability in the hydrologic cycle, including more extreme rainstorms and flood events, i...
The hydrologic system has increasingly been experiencing change due to a combination of human and na...
Study region: Nyangores River watershed, headwater catchment of Mara River basin in Kenya. Study foc...
The connections between environmental change and human activities are complex. Scientists have been ...
Quantifying how changes in land use affect the hydrological response at the river basin scale is a c...
Forest change and climatic variability are two major drivers for influencing change in watershed hyd...
Climatic variability and cumulative forest cover change are the two dominant factors affecting hydro...