Factors of runoff generation in the Dongting Lake basin based on a SWAT model and implications of recent land cover change

Lotz, Tom; Opp, Christian; He, Xiuli

doi:10.1016/j.quaint.2017.03.057

Cited by 34 publications

(21 citation statements)

References 33 publications

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“…Changes in BFC did not take into account the function of native vegetation and arrangement in the surface with a greater permeability to intercept and delay the surface runoff (Kibena et al, 2014;Lotz et al, 2017;Mayerhofer et al, 2017). BFC2012 affects the basin draining the upper Marrecas River valley, main ly under the terms of item IX of the Article 4, wh ich deals with the classification rules of hilltop PPAs, and under the terms of the Article 61-A, wh ich authorizes, in PPAs, "to continue agrosilvopastoral, ecotourism, and rural tourism activit ies in rural areas consolidated until July 22, 2008".…”

Section: Res Ults and Discussionmentioning

confidence: 99%

“…Th is occupation model caused profound changes in the landscape with the replacement of the Araucaria mo ist forest by agricultural act ivities (Cassol & Morais, 2014). These changes may have intensified the recurrent floods affecting the urban perimeter of Francisco Beltrão, Paraná State, Brazil, due to the removal of forest cover, which presents a greater capacity to infiltrate precipitated water when co mpared to other land uses (Costa et al, 2012;Kibena et al, 2014;Lotz et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…The replacement of forests by anthropic uses modifies the dynamics between the surface runoff and infiltrat ion, unbalancing the natural balance of waters (Suriya & Mudgal, 2012). Changes in hydrological cycle caused by deforestation and pressure on water resources require extensive knowledge about the distribution of surface water, with studies on the effects of urbanization (Du et al, 2012;Su riya & Mudgal, 2012;Niemi et al, 2017), land use (Githui et al, 2009;Sanyal et al, 2014;Lotz et al, 2017;Mayerhofer et al, 2017), and vegetal cover (Marques et al, 2007;Mu et al, 2015;Zhang et al, 2015;Silva et al, 2016b;Yu et al, 2016) on the balance of continental waters.…”

Section: Introductionmentioning

confidence: 99%

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Implications for Peak Flows of the Marrecas River Basin Due to Changes in the Brazilian Forest Code

et al. 2018

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Changes in the Brazilian Forest Code (BFC) have soften the criteria for recovery and conservation of permanent preservation areas (PPAs), enhancing processes related to surface runoff. The aim of this study is to understand the effects of changes in PPA classification criteria established by BFC of 2012 to the detriment of BFC from 1965 considering the surface runoff response in the basin draining the upper Marrecas River valley in the flow peaks. The HEC-HMS model was used to simulate flow peaks considering three land-use scenarios, representative of the current use, adapting it to PPAs fitted to the BFC of 1965 and 2012 and seven precipitation return periods. In the proposed scenarios, the use of BFC of 2012, to the detriment of that from 1965, would imply a PPA reduction from 44.5% to 13.7%, resulting in a 22.1% increase in the average flow peaks, not representing, however, a significant reduction in the flow peaks when compared to the scenario representing the current land use. Therefore, when compared to BFC of 1965, in the Brazilian new Forest Code PPAs were reduced by 69.2%, increasing peak flows by up to 30.7%, thus minimizing the legal possibilities of flood mitigation to the urban perimeter of Francisco Beltrão, Paraná State, Brazil.

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Section: Res Ults and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Implications for Peak Flows of the Marrecas River Basin Due to Changes in the Brazilian Forest Code

et al. 2018

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“…Dongting Lake area (28°30'N ~ 30°20'N and 110°40'E ~ 113°10'E), located in the south coast of Jingjiang, is part of the Yangtze River watershed in China. Dongting Lake connects several rivers, the four biggest tributaries are Li River, Yuan River, Zi River and the Xiang River (Lotz T et al, 2017). Dongting Lake area covers approximately 1.878 million square kilometres, which is an important commodity grain base in China.…”

Section: Survey Of Research Areamentioning

confidence: 99%

Dynamic Monitoring of Land Cover in Dongting Lake Area Between 1995–2015 With Landsat Imagery

Tao

Lan

She

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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In this paper, the Landsat imagery of 1995, 2006 and 2015 is used to monitor land cover change in Dongting Lake area. Our study mainly focuses on five types of land cover: water body, wetland, built-up area, cropland and forest. The land cover change in the Dongting Lake area is comprehensively evaluated by using land cover transfer matrix, land cover change amplitude, and landscape pattern indexes. Our study shows that: (1) the cropland area increased from 48.58&thinsp;% in 1995 to 53.61&thinsp;% in 2006, then decreased to 48.85&thinsp;% in 2015; (2) different from the trend of cropland, the area of water body and wetland decreased in 2006; (3) the forest area steadily increased, to 2015, and there was an increase of 3.46&thinsp;% during 1995&ndash;2015, due to artificial afforestation in the lake area. In terms of the landscape pattern, the landscape fragmentation decreased and the patch connectivity increased.

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“…China has similarly responded to the challenge posed to water resources by climate change through various means, including strengthening water resources infrastructure and improving water resource allocation [14,15]. However, the significant impact of human activities on water resources must also be considered [16]. There has been a move by countries globally to move towards a stage of "new urbanization" since the beginning of the 20th century.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Climate Change and Human Activity on the Runoff Changes in the Guishui River Basin

Wang

Shao

Jiang

et al. 2020

Land

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Guishui River Basin in northwestern Beijing has ecological significance and will be one of the venues of the upcoming Beijing Winter Olympic Games in 2022. However, accelerating climate change and human disturbance in recent decades has posed an increasing challenge to the sustainable use of water in the basin. This study simulated the runoff of the Guishui River Basin using the Soil and Water Assessment Tool (SWAT) model to reveal the spatio-temporal variations of runoff in the basin and the impacts of climate change and human activities on the runoff changes. The results showed that annual runoff from 2004 to 2018 was relatively small, with an uneven intra-annual runoff distribution. The seasonal trends in runoff showed a decreasing trend in spring and winter while an increasing trend in summer and autumn. There was a first increasing and then decreasing trend of average annual runoff depth from northwest to southeast in the study area. In addition, the contributions of climate change and human activities to changes in runoff of the Guishui River Basin were 60% and 40%, respectively, but with opposite effects. The results can contribute to the rational utilization of water resources in the Guishui River Basin.

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Factors of runoff generation in the Dongting Lake basin based on a SWAT model and implications of recent land cover change

Cited by 34 publications

References 33 publications

Implications for Peak Flows of the Marrecas River Basin Due to Changes in the Brazilian Forest Code

Implications for Peak Flows of the Marrecas River Basin Due to Changes in the Brazilian Forest Code

Dynamic Monitoring of Land Cover in Dongting Lake Area Between 1995–2015 With Landsat Imagery

Impacts of Climate Change and Human Activity on the Runoff Changes in the Guishui River Basin

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