Model Library

Phosphorus Dynamic model for Polders (PDP)

Model name: Phosphorus Dynamic model for Polders (PDP)

Developed by: Dr. Jiacong Huang and his colleagues at University of Chinese Academy of Sciences (Last update: 2016)

Model type: Daily time-step, dynamic, lumped, deterministic, process-based, water quality, field-scale watershed model

Computational requirements: N/A, Programming language: Python

Link to download model

Capabilities and Limitations:

Capabilities

  • It has a modular design;
  • PDP details water and phosphorus balances in a polder system, integrating water management practices and coupling phosphorus dynamics in water areas, unlike existing watershed models (Huang et al., 2016);
  • PDP quantifies the cause-effect relationship between a polder system and environmental conditions, enhancing estimates of phosphorus exchanges with surrounding rivers (Huang et al., 2016).

Limitations

  • The model lacks a detailed explanation of phosphorus dynamics in agricultural lands, such as dry and paddy fields (Huang et al., 2016);
  • Implementing a simulation with PDP demands extensive data input (Huang et al., 2016);
  • It is not suitable to simulate peak values (Huang et al., 2016);
  • Only DP and PP are described in PDP (Huang et al., 2016);
  • Limited information and applications.

Model Inputs and Outputs:

Inputs

LULC, Vegetation coverage, Meteorological data, Water quality data (P-related).

Outputs

Time-series simulation results of water quality (P-related) parameters.

Examples:

References

Tian, F., Huang, J., Cui, Z., Gao, J., Wang, X., & Wang, X. (2020). Integrating multi indices for identifying priority management areas in lowland to control lake eutrophication: A case study in Lake Gehu, China. Ecological Indicators, 112, 106103. https://doi.org/10.1016/j.ecolind.2020.106103

Zhang, J., Gao, J., Zhu, Q., Qian, R., Zhang, Q., & Huang, J. (2022). Coupling mountain and lowland watershed models to characterize nutrient loading: An eight-year investigation in Lake Chaohu Basin. Journal of Hydrology, 612(C), 128258. https://doi.org/10.1016/j.jhydrol.2022.128258

Objectives

The objective of the study was to propose a new model-based method for identifying Priority Management Areas (PMAs) in lowland regions to control lake eutrophication, and to provide a basis for formulating and implementing Best Management Practices (BMPs) to improve water quality management.

The specific aimed of our study were 1) to estimate N and P loss amount and intensity from mountain and lowland watersheds, 2) to characterize the spatial–temporal pattern of N and P loss and their underlying mechanisms between mountain and lowland watersheds.