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What is the recent system dynamic modeling in wetlands? 


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Recent system dynamic modeling in wetlands involves utilizing advanced techniques like Nonlinear Autoregressive with Exogenous Inputs (NARX) models for predicting wetland extent. These models aid in understanding complex wetland processes, such as biogeochemical exchanges and pollutant degradation mechanisms. Additionally, studies focus on specific aspects like total nitrogen transformation in mangrove-filled wetlands, highlighting the sensitivity of parameters like garbage levels in maintaining mangrove biomass. Furthermore, system dynamic models are applied to shared water resources like the Hoor-Al-Azim/Hawizeh wetland, simulating interactions among riparian countries and evaluating scenarios for sustainable management. The development of dynamic models, such as those simulating pollutant treatment in artificial wetlands, enhances the design and efficiency of wetland systems for environmental practitioners.

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The recent system dynamics modeling in the Hoor-Al-Azim/Hawizeh wetland focused on interactions among Iran, Iraq, and Turkey's water systems, aiding policy-makers in evaluating management decisions for environmental improvement.
Recent system dynamic modeling in wetlands aims to understand degradation mechanisms, pollutant transformations, and wetland dynamics. Various simulation models are utilized to simulate complex wetland processes effectively.
The recent system dynamic modeling in wetlands focuses on total nitrogen transformation in a constructed wetland using continuous and discrete dynamical models with sensitivity and bifurcation analysis.
The recent system dynamic modeling in wetlands involves multivariate nonlinear modeling using NARX model, incorporating weather variables and wetland fractions to predict wetland extent accurately.

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