The reduction effects of riparian reforestation on runoff and nutrient export based on AnnAGNPS model in a small typical watershed, China

Jiang, Kaixia; Li, Zhaofu; Luo, Chuan; Wu, Min; Chao, Ling; Zhou, Qunlan; Zhao, Haiyan

doi:10.1007/s11356-018-4030-7

Cited by 10 publications

(4 citation statements)

References 55 publications

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“…The AnnAGNPS (Annualized Agricultural Non-Point Source Pollutant Loading Model) is the improved version of the AGNPS model which is based on continuous simulation [65]. AGNPS and AnnAGNPS models have considerably been applied to different watersheds to simulate hydrological processes and NPS pollution loads [66][67][68].…”

Section: Agnps Agnps (Agricultural Non-point Source Pollution Modelingmentioning

confidence: 99%

An Overview of Non-Point Source Pollution Modeling: Current Status and Future Prospect

Ahmadi

2023

J Civ Eng Res Technol

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Non-point source (NPS) pollution control is an increasingly important topic in aquatic environment protection due to its significant adverse effect on water quality. Characterizing NPS pollution loads is crucial for preparing BMPs to improve water quality and protect the aquatic ecosystem. Modeling tools are commonly used for simulating NPS pollution in watersheds; however, the modeling process contains uncertainties and complications, which makes the prediction of NPS pollution loads challenging and complicated. To deal with this issue, significant progress has been made to address NPS pollution modeling problems in the past few decades. The current study reviews different approaches being used for NPS pollution modeling. In this context, the main methods in NPS modeling are described and classified into three categories. 1. Empirical models, 2. Physically based models, and 3. Simulation based optimization models. The present study contributes to fulfilling the gaps in the classification of NPS pollution modeling approaches and highlights the advantages and drawbacks of each approach in order to set a standard for choosing a proper simulation tool for estimating NPS pollution loads based on the limitations and requirements of the understudy circumstance

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Section: Agnps Agnps (Agricultural Non-point Source Pollution Modelingmentioning

confidence: 99%

An Overview of Non-Point Source Pollution Modeling: Current Status and Future Prospect

Ahmadi

2023

J Civ Eng Res Technol

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“…Many factors influence the effect of riparian buffers on runoff and pollutant reduction [18], and buffer width is one of the most important ones [19]. Most studies have proven that wider buffers with denser vegetation have a higher protection capability [20].…”

Section: Introductionmentioning

confidence: 99%

“…In China, the AnnAG-NPS is widely applied to simulate hydrological processes and non-point source pollution. Jiang et al (2019) [18] used the AnnAGNPS model in the Wucun watershed, China, with a focus on selecting the optimum buffer width for the implementation of riparian reforestation. Zhang et al (2019) [29] used the AnnAGNPS model to evaluate the effectiveness of best management practices (BMPs) for control of non-point source pollution in the Three Gorges Reservoir Area in China.…”

Section: Introductionmentioning

confidence: 99%

Impact of Riparian Buffer Zone Design on Surface Water Quality at the Watershed Scale, a Case Study in the Jinghe Watershed in China

Liu

Clausen

et al. 2023

Water

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This study was conducted to evaluate the impact of riparian buffer zones on water quality in the Jinghe watershed, China. To evaluate the effectiveness of riparian buffers in reducing sediments and nutrients in surface runoff, we employed two validated models: the agricultural non-point source pollution model (AnnAGNPS) and the riparian ecosystem management model (REMM). The AnnAGNPS was used to divide the catchment into homogeneous drainage areas and generate upland loadings for the REMM. The REMM model was then utilized to assess the impact of different riparian buffer designs on sediments and nutrient reduction in surface runoff. We tested five designs, including the recommended standard design by the United States Department of Agriculture (USDA). This design with 20 m herbaceous perennials next to the field (Zone 3), followed by a 20 m wide harvestable deciduous forest in the middle (Zone 2), and a 10 m wide non-harvestable deciduous forest adjacent to the river (Zone 1). We also evaluated alternative designs, such as removing Zone 3, removing Zone 2, and reducing the widths of the buffer zones further. For the entire Jinghe watershed, we calculated, compared, and analyzed the annual totals of water inflow, sediment yields, and dissolved nitrogen in surface runoff into and out of Zone 1, 2, and 3 for all the designs. The analysis indicated that the removal efficiency of sediments ranged from 85.7% to 90.8%, and the removal efficiency of dissolved nitrogen in surface runoff ranged from 85.4% to 91.9% for all the designs. It is also indicated that riparian buffer zones are highly effective in reducing sediments and nutrients in agricultural runoff, even with reduced buffer widths. This finding underscores the importance of implementing riparian buffer zones as a valuable approach in the agricultural intensive watershed with constraints for allocating for the creation of standard riparian buffers.

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“…The Yongding River basin is no exception. Many scholars have made attribution analyses of this attenuation trend, and climate change (e.g., precipitation [3], temperature, and evaporation) and human activities (e.g., increased water intake [4], water conservancy projects [5], agricultural irrigation [6], soil and water conservation [7,8], and land use change [9]) are considered to be the main factors [10,11].…”

Section: Introductionmentioning

confidence: 99%

Attribution of Runoff Decrease at the Guanyintang Station in the Yongding River Considering the Impact of Coal Mining

Tao

Jia

Niu

et al. 2022

Water

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The Yongding River basin has greatly changed in recent years; its runoff has decreased sharply and has even been cut off. In this study, the Guanyintang station in the upstream Yongding River basin was selected to quantify the impacts of climate change, water use, and coal mining on its runoff. The Mann–Kendall analysis method was used to analyze the climate change trend of the Guanyintang basin from 1956 to 2018. Then, the water and energy transfer processes in large river basins (WEP-L) model was improved to consider the impact of coal mining and applied to quantitatively analyze the impact of meteorological elements and human activities on runoff. The results show that, from 1956 to 2018, the precipitation in the Guanyintang basin decreased slightly, whereas the temperature obviously increased, the potential evapotranspiration changed marginally, and the runoff significantly decreased with a mutation point around 1998. The study period was divided into a calibration period (1956–1976), validation period 1 (1977–1997), and validation period 2 (1998–2018). Compared with the calibration period, the runoff in the validation periods decreased a lot and could not meet the water balance without considering the coal mining impact. After considering coal mining, the simulation accuracy of the model was satisfied. Generally speaking, climate change and coal mining were the main factors for runoff attenuation in validation period 1. In validation period 2, coal mining became the dominant factor, whereas land use change also made certain contributions.

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The reduction effects of riparian reforestation on runoff and nutrient export based on AnnAGNPS model in a small typical watershed, China

Cited by 10 publications

References 55 publications

An Overview of Non-Point Source Pollution Modeling: Current Status and Future Prospect

An Overview of Non-Point Source Pollution Modeling: Current Status and Future Prospect

Impact of Riparian Buffer Zone Design on Surface Water Quality at the Watershed Scale, a Case Study in the Jinghe Watershed in China

Attribution of Runoff Decrease at the Guanyintang Station in the Yongding River Considering the Impact of Coal Mining

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