The Improvement in GWLF Model Simulation Performance in Watershed Hydrology by Changing the Transport Framework

Qi, Zuoda; Kang, Gelin; Shen, Minli; Wang, Yuqiu; Chu, Chunli

doi:10.1007/s11269-018-2149-4

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…The r 2 values were 0.88 and 0.79 for the calibration and validation periods, respectively. These results are at the same level of accuracy as the results of other similar studies with GWLF ( Jiang et al 2019;Qi et al 2019). For the monthly TDN estimations, the R 2 NS for the calibration and validation periods were 0.96 and 0.95, respectively.…”

Section: Generalized Watershed Loading Function (Gwlf)supporting

confidence: 84%

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Liu¹,

Chen

Gao

et al. 2022

Journal of Water and Climate Change

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The impacts of future climate change on the watershed streamflow and total dissolved nitrogen (TDN) fluxes upstream of the Danjiang River were estimated. The newest shared socioeconomic pathways (SSP) in CMIP6 were used as a climate change scenario. The ensembles of downscaled GCM outputs from WorldClim were used as future climate change information. A combined modeling approach is proposed, including the Long Ashton Research Station Weather Generator (LARS-WG) model as a weather generator and the generalized watershed loading function (GWLF) model for watershed hydrochemical process model and scenario analysis. The results show that there is generally less annual streamflow but more annual TDN flux under future climate change scenarios. The monthly streamflow and TDN flux increased from May to July and decreased from August to October. Changes in streamflow and TDN fluxes were the greatest in the worst uncontrolled scenario of SSP 5-85, with a 12.1% decrease in annual streamflow in the 2070s and a 4.82% increase in annual TDN flux in the 2090s. This indicates that active climate policies can mitigate the impact of climate change on watersheds. Furthermore, the source apportionments of TDN from agricultural sources will increase to nearly 50% by the 2090s, and targeted management strategies should be implemented.

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Section: Generalized Watershed Loading Function (Gwlf)supporting

confidence: 84%

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Liu¹,

Chen

Gao

et al. 2022

Journal of Water and Climate Change

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show abstract

“…It has the obvious characteristics of high precipitation and temperature in summer. The average annual temperature is approximately 17 • C. The dominant vegetation types in this region are evergreen broadleaf forest, evergreen needle-leaf trees, and bamboo [37,41,42]. The terrain in the middle of the basin is relatively flat, and the topographic conditions at the edges are complex.…”

Section: Study Areamentioning

confidence: 99%

Evaluation and Error Decomposition of IMERG Product Based on Multiple Satellite Sensors

Zhang

Bàrdossy

et al. 2023

Remote Sensing

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The Integrated Multisatellite Retrievals for GPM (IMERG) is designed to derive precipitation by merging data from all the passive microwave (PMW) and infrared (IR) sensors. While the input source errors originating from the PMW and IR sensors are important, their structure, characteristics, and algorithm improvement remain unclear. Our study utilized a four-component error decomposition (4CED) method and a systematic and random error decomposition method to evaluate the detectability of IMERG dataset and identify the precipitation errors based on the multi-sensors. The 30 min data from 30 precipitation stations in the Tunxi Watershed were used to evaluate the IMERG data from 2018 to 2020. The input source includes five types of PMW sensors and IR instruments. The results show that the sample ratio for IR (Morph, IR + Morph, and IR only) is much higher than that for PMW (AMSR2, SSMIS, GMI, MHS, and ATMS), with a ratio of 72.8% for IR sources and a ratio of 27.2% for PMW sources. The high false ratio of the IR sensor leads to poor detectability performance of the false alarm ratio (FAR, 0.5854), critical success index (CSI, 0.3014), and Brier score (BS, 0.1126). As for the 4CED, Morph and Morph + IR have a large magnitude of high total bias (TB), hit overestimate bias (HOB), hit underestimate bias (HUB), false bias (FB), and miss bias (MB), which is related to the prediction ability and sample size. In addition, systematic error is the prominent component for AMSR2, SSMIS, GMI, and Morph + IR, indicating some inherent error (retrieval algorithm) that needs to be removed. These findings can support improving the retrieval algorithm and reducing errors in the IMERG dataset.

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“…The RGWLF model is a semi-distributed simulation model, which includes sub-basin calculation and the channel routing process, in contrast to the original model (GWLF) [25]. Detailed improvements and verification can be referred to in the author's previous article [24]. However, the original study did not include a description of the pollutant transport process in the channel.…”

Section: The Watershed Modelmentioning

confidence: 99%

“…However, the watershed models in most previous studies have a high demand for data, and are difficult to apply in some areas where there is a lack of data [23]. The Revised Generalized Watershed Loading Function (RGWLF) is an improved semi-distributed hydrological model based on the Generalized Watershed Loading Function (GWLF) model, which has favorable stability, robustness, and less data requirements [24].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

Kang

Xiao-jin

et al. 2020

Water

Self Cite

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Best management practices (BMPs) are an effective way to control water pollution. However, identification of the optimal distribution and cost-effect of BMPs provides a great challenge for watershed policy makers. In this paper, a semi-distributed, low-data, and robust watershed model, the Revised Generalized Watershed Loading Function (RGWLF), is improved by adding the pollutant attenuation process in the river channel and a bank filter strips reduction function. Three types of pollution control measures—point source wastewater treatment, bank filter strips, and converting farmland to forest—are considered, and the cost of each measure is determined. Furthermore, the RGWLF watershed model is coupled with a widely recognized multi-objective optimization algorithm, the non-dominated sorting genetic algorithm II (NSGAII), the combination of which is applied in the Luanhe watershed to search for spatial BMPs for dissolved nitrogen (DisN). Fifty scenarios were finally selected from numerous possibilities and the results indicate that, at a minimum cost of 9.09 × 107 yuan, the DisN load is 3.1 × 107 kg and, at a maximum cost of 1.77 × 108 yuan, the total dissolved nitrogen load is 1.31 × 107 kg; with the no-measures scenario, the DisN load is 4.05 × 107 kg. This BMP optimization model system could assist decision-makers in determining a scientifically comprehensive plan to realize cost-effective goals for the watershed.

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The Improvement in GWLF Model Simulation Performance in Watershed Hydrology by Changing the Transport Framework

Cited by 8 publications

References 29 publications

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

The impacts of climate changes on watershed streamflow and total dissolved nitrogen in Danjiang Watershed, China

Evaluation and Error Decomposition of IMERG Product Based on Multiple Satellite Sensors

Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

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