A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling

Shen, Zhenyao; Chen, L.; Qian, Lei; Liu, R.M.; Huang, Qin

doi:10.1016/j.agwat.2012.12.005

Cited by 54 publications

(40 citation statements)

References 39 publications

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“…For instance, the NCEP-CFSR data performed poorly in both basins, regardless of size and flow characteristics, while the APHRODITE precipitation resulted in the best performance for both basins. We also note that differences in sub-basin and/or HRU delineations, while not investigated in this study, typically do not impact SWAT streamflow and other hydrologic outputs as discussed in a previous review of SWAT literature [48] and reported in several subsequent SWAT applications [92][93][94][95].…”

Section: Discussionmentioning

confidence: 70%

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Tan

Gassman

Cracknell

2017

Water

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Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation-Highly-Resolved Observational Data Integration towards Evaluation of Water Resources: APHRODITE, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Record: PERSIANN-CDR and National Centers for Environmental Prediction Climate Forecast System Reanalysis: NCEP-CFSR) was analyzed for the Kelantan River Basin (KRB) and Johor River Basin (JRB) in Malaysia from 1983 to 2007. Then, these GCPs were used as inputs into calibrated Soil and Water Assessment Tool (SWAT) models, to assess their capability in simulating streamflow. The results show that the APHRODITE data performed the best in precipitation estimation, followed by the PERSIANN-CDR and NCEP-CFSR datasets. The NCEP-CFSR daily maximum temperature data exhibited a better correlation than the minimum temperature data. For streamflow simulations, the APHRODITE data resulted in strong results for both basins, while the NCEP-CFSR data showed unsatisfactory performance. In contrast, the PERSIANN-CDR data showed acceptable representation of observed streamflow in the KRB, but failed to track the JRB observed streamflow. The combination of the APHRODITE precipitation and NCEP-CFSR temperature data resulted in accurate streamflow simulations. The APHRODITE and PERSIANN-CDR data often underestimated the extreme precipitation and streamflow, while the NCEP-CFSR data produced dramatic overestimations. Therefore, a direct application of NCEP-CFSR data should be avoided in this region. We recommend the use of APHRODITE precipitation and NCEP-CFSR temperature data in modeling of Malaysian water resources.

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Section: Discussionmentioning

confidence: 70%

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Tan

Gassman

Cracknell

2017

Water

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“…Eutrophication, in terms of algae blooms, has increased eightfold in the TGRA since 1990, and a particular emphasis has been placed on NPS-P. In our previous studies (Gong et al, 2011;Shen et al, 2012Shen et al, , 2013, the upstream areas of the Wuxi station (labeled as AP-1 in this research) have served as a study area. For the purpose of comparison, both of the upstream areas of AP-1 and the watershed outlet (labeled as AP-2) were selected as the study area (Fig.…”

Section: Study Watershed Descriptionmentioning

confidence: 99%

“…In our previous studies (Shen et al, 2012(Shen et al, , 2013(Shen et al, , 2008(Shen et al, , 2010), the SWAT model was applied in the Daning River watershed to quantify the pollutant loads released from each subwatershed. In this research, the flow and P yields were obtained from our constructed SWAT model.…”

Section: The Targeting Of Upstream Pmasmentioning

confidence: 99%

“…For loose modeling, the SWAT results were used as model inputs to the river process model (Wu et al, 2006). More information about these two models and the calibration processes can be obtained from our related studies (Shen et al, 2012(Shen et al, , 2013(Shen et al, , 2008(Shen et al, , 2010. Following model calibration (Gong et al, 2011;Shen et al, 2012Shen et al, , 2013, a 10-year modeling period was performed to isolate climate change and land use change.…”

Section: The Targeting Of Upstream Pmasmentioning

confidence: 99%

“…First, there was a general trend of reduced agricultural areas from upstream to downstream in the Daning watershed. This trend implied reduced P loss potentials among those downstream areas because agricultural lands generally induce a greater impact on the export of P than other land uses (Whitehead et al, 2007;Gong et al, 2011;Shen et al, 2012Shen et al, , 2013. Second, the upstream P concentrations have been diluted during the transport process because of the long hydrological residence time within the downstream river network (Arheimer and Brandt, 2000;Bae and Ha, 2006;Zhou and Gao, 2011).…”

Section: The Comparison Between the Map-pma And Traditional Targetingmentioning

confidence: 99%

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Upstream to downstream: a multiple-assessment-point approach for targeting non-point-source priority management areas at large watershed scale

Chen

Zhong

Wei

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. The identification of priority management areas (PMAs) is essential for the control of non-point-source (NPS) pollution, especially for a large-scale watershed. However, previous studies have typically focused on small-scale catchments adjacent to specific assessment points; thus, the interactions between multiple river points remain poorly understood. In this study, a multiple-assessment-point PMA (MAP-PMA) framework was proposed by integrating the upstream sources and the downstream transport aspects of NPS pollution. Daning River watershed was taken as a case study in this paper, which has demonstrated that the integration of the upstream input changes was vital for the final PMAs map, especially for downstream areas. Contrary to conventional wisdom, this research recommended that the NPS pollutants could be best controlled among the upstream highlevel PMAs when protecting the water quality of the entire watershed. The MAP-PMA framework provided a more costeffective tool for the establishment of conservation practices, especially for a large-scale watershed.

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Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

et al. 2014

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The identification of priority management areas (PMAs) at the large-basin scale is notably complex because of the random nature of watershed processes, which complicates the application of traditional deterministic PMAs. In this study, a multilevel PMA (ML-PMA) framework is designed as a new tool to pinpoint these sensitive areas, within a basin, that contribute the most to water quality deterioration. The main advantage of the ML-PMA framework is the wide availability of its supplementary tools and its complete framework, which integrates both watershed and river processes in addressing PMAs at the watershed scale. The watershed model, stream model, and a Markov chain approach are integrated to depict the dynamics of watershed processes and various water quality statutes. Based on the results of this study, the river migration process is vital for water quality degradation in the river network and significantly influenced the final PMA map. In addition, the proposed ML-PMA framework considers the impact of climatic conditions and hydrological properties and allows for a more cost-effective allocation of PMAs among different years. In the authors' view, the connectivity of PMAs in terms of flux distribution and propagation downstream on which the ML-PMA is based makes the ML-PMA framework particularly interesting for watershed non-point-source pollution control.

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A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling

Cited by 54 publications

References 39 publications

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Upstream to downstream: a multiple-assessment-point approach for targeting non-point-source priority management areas at large watershed scale

Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

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