Development of a landscape indicator to evaluate the effect of landscape pattern on surface runoff in the Haihe River Basin

Bin, Lingling; Xu, Kui; Xu, Xiangtao; Lian, Jijian; Ma, Chao

doi:10.1016/j.jhydrol.2018.09.045

Cited by 46 publications

(26 citation statements)

References 44 publications

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“…CONTIG reflects the connectivity between similar patch cell elements, whereas CON-TAG reflects dispersed land use, with a higher value indicating a more concentrated land-use type. They were both positively correlated with the water quality in the rivers and lakes of the Baoan Lake basin (Figure 6), demonstrating that deteriorating water quality is closely correlated with more concentrated land-use types in the basin, that is, the landscape matrix type [42,43]. These findings are consistent with a previous analysis, which showed that cropland, as the most concentrated land type distributed in a basin, is closely related to deteriorating water quality.…”

Section: Influence Of the Landscape Pattern On Water Quality In The B...supporting

confidence: 90%

Study on the Water Quality Characteristics of the Baoan Lake Basin in China under Different Land Use and Landscape Pattern Distributions

Ren

et al. 2022

IJERPH

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Land use and landscape pattern highly affect water quality. Their relationship can assist in land-use management and improve land-use efficiency. In this study, a water quality survey of rivers and lakes was performed in 2020 to analyze the effects of land use and the landscape pattern on the water quality of the rivers and lakes in the Baoan Lake basin and is expected to provide a reference for land use planning. The results demonstrated that the effects of land use on water quality were generally higher during the dry season than during the wet season; however, the opposite was demonstrated for the landscape pattern index. Cropland and urban land were closely correlated with deteriorating water quality, with contributions to total nitrogen, total phosphorous, and ammonia nitrogen in the basin. The impact of the landscape pattern of the basin on water quality was controlled by the original land-use type. In addition, the landscape configuration formed different land-use types to produce different effects on water quality. The basin scale better explained the changes in water quality, especially for construction land, followed by the 250 m and 500 m scales in the buffer zone.

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Section: Influence Of the Landscape Pattern On Water Quality In The B...supporting

confidence: 90%

Study on the Water Quality Characteristics of the Baoan Lake Basin in China under Different Land Use and Landscape Pattern Distributions

Ren

et al. 2022

IJERPH

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“…For example, in this study, forests acted as “sink” landscapes in evaluating NPS-T or NPS-P, but they may become “source” landscapes in terms of organic matter NPS pollution. This is because the organic matter in forest soil can be transmitted into rivers under heavy rainfall [ 41 ]. In this study, organic matter pollution was not considered in this study.…”

Section: Discussionmentioning

confidence: 99%

Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin

Liu

Yang

et al. 2021

IJERPH

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This study aimed to assess the relationship between the landscape patterns and non-point source (NPS) pollution distribution in Qixia County, China. The sub-basin classification was conducted based on a digital elevation model and Landsat8 satellite images. Water samples were collected from each sub-basin, andtheir water quality during the wet and dry seasons was estimated. The correlation between the landscape indices and water pollution indicators was determined by Pearson analysis. The location-weighted landscape contrast index (LWLCI) was calculated based on the “source-sink” theory. Qixia was further divided into five sections based on the LWLCI score to illustrate the potential risk of NPS pollution. The results showed that the water quality in Qixia County was generally good. Cultivated land, orchards, construction areas, and unused land were positively correlated with the water pollution index and weredesignated as the “source” landscape categories, while forests, grasslands, and water bodies, which were negatively correlated with water pollution, were the “sink” landscapes; the LWCI was high in 36.94% of the study area. In these areas, measures such as increasing vegetation buffer zones are necessary to decrease the sediment and nutrient loads carried by precipitation.

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“…Recall that soils are saturated most of the time due to the humid environment and the cloud forest in the upper part of the study area, which has low evapotranspiration rates and allows the soil to remain moist [41]. Moreover, steep hillslopes in the upper zones of PRB and TRB facilitate surface runoff [78,79]. Under these conditions, surface runoff may be generated by both infiltration and saturation excess [80][81][82].…”

Section: Hec-hms Calibrationmentioning

confidence: 99%

Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data

Hurtado-Pidal

Triana

Espitia

et al. 2020

Water

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The application of hydrologic and hydrodynamic models in flash flood hazard assessment is mainly limited by the availability of robust monitoring systems and long-term hydro-meteorological observations. Nevertheless, several studies have demonstrated that coupled modeling approaches based on event sampling (short-term observations) may cope with the lack of observed input data. This study evaluated the use of storm events and flood-survey reports to develop and validate a modeling framework for flash flood hazard assessment in data-scarce watersheds. Specifically, we coupled the hydrologic modeling system (HEC-HMS) and the Nays2Dflood hydrodynamic solver to simulate the system response to several storm events including one, equivalent in magnitude to a 500-year event, that flooded the City of Tena (Ecuador) on 2 September, 2017. Results from the coupled approach showed satisfactory model performance in simulating streamflow and water depths (0.40 ≤ Nash-Sutcliffe coefficient ≤ 0.95; −3.67% ≤ Percent Bias ≤ 23.4%) in six of the eight evaluated events, and a good agreement between simulated and surveyed flooded areas (Fit Index = 0.8) after the 500-year storm. The proposed methodology can be used by modelers and decision-makers for flood impact assessment in data-scarce watersheds and as a starting point for the establishment of flood forecasting systems to lessen the impacts of flood events at the local scale.

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Development of a landscape indicator to evaluate the effect of landscape pattern on surface runoff in the Haihe River Basin

Cited by 46 publications

References 44 publications

Study on the Water Quality Characteristics of the Baoan Lake Basin in China under Different Land Use and Landscape Pattern Distributions

Study on the Water Quality Characteristics of the Baoan Lake Basin in China under Different Land Use and Landscape Pattern Distributions

Monitoring the Landscape Pattern and Characteristics of Non-Point Source Pollution in a Mountainous River Basin

Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data

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