• No results found

Hydrological control of dissolved organic carbon dynamics in a rehabilitated Sphagnum dominated peatland: a water table based modelling approach

N/A
N/A
Protected

Academic year: 2020

Share "Hydrological control of dissolved organic carbon dynamics in a rehabilitated Sphagnum dominated peatland: a water table based modelling approach"

Copied!
14
0
0

Loading.... (view fulltext now)

Full text

Figure

Figure 1. Location and settings of the study area. Locations of con-trol and rewetted monitoring are indicated.
Figure 2. Structure of the hydrological model, composed of thethree reservoirs of surface (Sr), macroporosity (Sm) and retention(Se)
Table 1. List of the parameters used in the hydrological and the DOC models. The hydrological flux associated to each parameter is inparenthesis
Table 2. Water and DOC balance computed for the simulated period (1 April 2014 to 1 April 2016 and 1 October 2016 to 10 December 2017)in rewetted and control areas
+4

References

Related documents

Field experiments were conducted at Ebonyi State University Research Farm during 2009 and 2010 farming seasons to evaluate the effect of intercropping maize with

Race condition is an error in clinical programming software which results when two processes try to access the same resource and the result depends on the transaction of

Passed time until complete analysis result was obtained with regard to 4 separate isolation and identification methods which are discussed under this study is as

12 Data Science Master Entrepreneur- ship Data Science Master Engineering entrepreneurship society engineering. Eindhoven University of Technology

For example, Wise and Jacobo (2010) state, “Coaching is the process used to help people reflect, find power and courage within themselves, and think and act in new ways in order

Minors who do not have a valid driver’s license which allows them to operate a motorized vehicle in the state in which they reside will not be permitted to operate a motorized

In this paper, we present Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre (FEMOSAA), a novel framework that automatically synergizes the