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Showing posts from October, 2022

Impact of Wetland Surface Area on Seasonal Daily Extreme Flow Characteristics during the Summer-Fall Season in Southern Quebec (Canada)

  Abstract The objective of this paper is to determine the impact of wetlands on the characteristics (magnitude, frequency, duration, timing and variability flow) of daily maximum and minimum extreme flows in summer-fall season (July to November) over the 1945-2019 period in Petite Nation watershed. Three relatively close watersheds [Matawin River (1,390km²), Petite Nation River (1,330km²) and L’Assomption River (1,340km²)], which are differentiated mainly by the types of land use (wetland and agricultural areas), were studied. In the Petite Nation River watershed, which has the largest wetland surface area (15%), the frequency of flood occurrence significantly decreased, resulting in a decrease in the magnitude and duration of seasonally daily maximum flows and their early occurrence during the season. In contrast, the interannual rate change flow in the timing and duration of these flows is greater than that observed in the other two watersheds. The “sponge effect”

Carbon and Water Interaction Model in Tropical Peatland

  Abstract As the water issue relates the carbon issue in peatland, carbon and water interrelation has been studying for long term (more than 10 years) in peatland of Central Kalimantan, Indonesia. The Soil Moisture Content (SMC) and Ground Water Table (GWT) in long term have been monitoring by auto-monitoring system called SESAME, developed by our team, and Net Ecosystem Exchange (NEE) has been measured by Eddy Covariance on the tower. By these long-term monitoring, it is found that a) positive correlation with SMC and GWT, b) negative correlation with NEE and GWT. On the other hand, as global soil moisture data has been provided daily from European Center for Medium-Range Weather Forecasts (ECMWF), we developed mapping model on GWT and NEE, applying correlation coefficient of SMC-GWT and NEE-GWT. The NEE mapping in peatland corresponds with Tier 2 and 3 level of Intergovernmental Panel on Climate Change (IPCC) guideline.    Read More about this Article: https:/