| Title: | Review of nonpoint source pollution models: Current status and future direction |
| Authors: | Wang, M., L. Chen, L. Wu, L. Zhang, H. Xie and Z Shen |
| Year: | 2022 |
| Journal: | Water |
| Volume (Issue): | 14(20) |
| Pages: | |
| Article ID: | 3217 |
| DOI: | 10.3390/w14203217 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | review/history |
| Primary Application Category: | pollutant cycling/loss and transport |
| Secondary Application Category: | model and/or data comparison |
| Watershed Description: | None |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | Modelling tools are commonly used for predicting non-point source (NPS) pollutants and it
is timely to review progress that has been made in terms of the development of NPS models. This paper:
(1) proposes a systematic description of model framework and generalizes some commonly used
models; (2) identifies the common challenges in model structure and applications; (3) summarizes the
future directions of NPS models. Challenges in model construction and application are based on the
following: (1) limitations in understanding specific NPS pollution processes; (2) model expansion to
different scales; (3) data scarcity and its impacts on model performance; (4) prediction uncertainty due
to model input, parameter and model structure; (5) insufficient accuracy for decision-making. Finally,
this paper proposes future directions for model development, including: (1) a source–flow–sink
framework for model development; (2) standardization for model input and parameter; (3) reliable
decision support for environmental management. The findings of this review provide helps in the
accurate prediction and management of NPS pollution around the world. |
| Language: | English |
| Keywords: | nonpoint source pollution;model construction;model application; uncertainty; decision-making;
best management practice |