Spatiotemporal Variations of Summer Precipitation and Their Correlations with the East Asian Summer Monsoon in the Poyang Lake Basin, China

Zhu, Hua; Xu, Ligang; Jiang, Jiahu; Fan, Hui

doi:10.3390/w11081705

Cited by 9 publications

(6 citation statements)

References 55 publications

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“…Located in the lower reaches of the Yangtze River, Poyang Lake is the largest freshwater lake in China with a drainage basin area of 162,200 km 2 (approximately 97% of Jiangxi Province) [22]. Five tributaries flow from the east (Rao River), south (Ganjiang River, Fu River, and Xinjiang River), and west (Xiu River) into the lake through the Poyang Lake Basin, and form a fluvial-deltas plain around the lakeshore area [23].…”

Section: Study Areamentioning

confidence: 99%

“…The city is a typical hilly lakeside area that is high in the northwest and low in the southeast, where the urban area is within the subtropical humid monsoon climate zone. The average annual temperature and rainfall are 17.5 • C and 1680 mm [22], respectively. The hydrology of the area is strongly seasonal as a consequence of the combined impact of seasonal rainfall and potential evapotranspiration patterns.…”

Section: Study Areamentioning

confidence: 99%

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Impacts of Land Use and Land Cover on Water Quality at Multiple Buffer-Zone Scales in a Lakeside City

Huang

Mao

Zhu

et al. 2019

Water

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Understanding the effect of land use/land cover (LULC) on water quality is essential for environmental improvement, especially in urban areas. This study examined the relationship between LULC at buffer-zone scales and water quality in a lakeside city near Poyang Lake, which is the largest freshwater lake in China. Representative indicators were selected by factor analysis to characterize the water quality in the study area, and then the association between LULC and water quality over space and time was quantified by redundancy analysis. The results indicated that the influence of LULC on water quality is scale-dependent. In general, the LULC could explain from 56.9% to 31.6% of the variation in water quality at six buffer zones (from 500 m to 1800 m). Forest land had a positive effect on water quality among most buffer zones, while construction land and bare land affected the representative water quality indicators negatively within the 1200 m and 1500 m buffer zones, respectively. There was also a seasonal variation in the relationship between LULC and water quality. The closest connection between them appeared at the 1000 m buffer zone in the dry season, whereas there was no significant difference among the buffer zones in the wet season. The results suggest the importance of considering buffer-zone scales in assessing the impacts of LULC on water quality in urban lakeshore areas.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Impacts of Land Use and Land Cover on Water Quality at Multiple Buffer-Zone Scales in a Lakeside City

Huang

Mao

Zhu

et al. 2019

Water

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“…PLB (E: 113 1C) has an area of 16.22 × 10 4 km 2 [34], accounting for 9% of the total area of the YRB and about 97% of the total area of Jiangxi Province. It includes five important sub-catchments (the Ganjiang Basin (GB), Fuhe Basin (FB), Xinjiang Basin (XinB), Raohe Basin (RB), and Xiushui Basin (XiuB)) and PL, the largest freshwater lake in China [35]. The digital elevation model (DEM) of the basin reveals a substantial elevation gradient, ranging from a peak elevation of 2033 m in the upstream areas to a minimum of approximately 7 m in the downstream plains.…”

Section: Study Areamentioning

confidence: 99%

Controlling Phosphorus Transport in Poyang Lake Basin under the Constraints of Climate Change and Crop Yield Increase

Gao,

Huang,

Chen

et al. 2024

Water

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Phosphorus, as a key nutrient, plays an essential role in both algal growth in surface waters and crop development on land. Its presence in inorganic fertilizers is crucial for maximizing crop yields. However, an excessive accumulation of phosphorus in soils can lead to its loss and exacerbate eutrophication in water bodies. This study highlights the complex interplay among phosphorus management, agricultural productivity, and environmental health, particularly in the context of climate change’s influence on sediment transport and water pollution. We focus on the Poyang Lake Basin (PLB) and use a sophisticated process-based phosphorus model to forecast phosphorus load trends from 2020 to 2049. Our predictions indicate a significant increase in the total phosphorus load of the PLB due to the impact of climate change. To address these challenges, we explore a novel strategy combining organic and inorganic phosphorus fertilizers. This approach aims to improve crop yields while reducing non-point source phosphorus pollution through adjusted anthropogenic inputs. Our findings reveal that a synergistic application of these fertilizers, coupled with a controlled use of inorganic phosphate, can reduce its usage by more than 2.5% annually. This method not only contributes to a 2.2% average annual increase in livestock and poultry production but also promotes a 0.6% yearly growth in grain output. Consequently, it effectively diminishes non-point source phosphorus pollution, offering a sustainable solution to the dual challenge of enhancing agricultural productivity and protecting environmental health.

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“…Pearson's correlation coefficient (r) was used to analyze the correlation between river network characteristics and the four influencing indicators (mean temperature, annual precipitation, mean population density, and GDP). Pearson correlation analysis enables correlation analysis of linear relationships between variables [47,48]. The definition and calculation formula of r were, respectively:…”

Section: Analysis Of Influencing Factorsmentioning

confidence: 99%

Spatial Variations and Influencing Factors of River Networks in River Basins of China

Zheng

Zhou

et al. 2021

IJERPH

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Analysis of the spatial variations in river networks and the related influencing factors is crucial for the management and protection of basins. To gain insight into the spatial variations and influencing factors of river networks between large basins, in this study, three river basins from north to south in China (Songhua River Basin, Yellow River Basin and Pearl River Basin) were selected for investigation. First, based on a digital elevation model, different river networks with six drainage accumulation thresholds of three basins were extracted using ArcGIS. The optimal networks were determined through fitting the relationship between the accumulation threshold and related drainage density. Then, we used two indicators, drainage density and water surface ratio, to characterize the spatial variations of three basins. Finally, Pearson’s correlation coefficients were calculated between those two indicators and natural/human influencing factors. The results showed that drainage density and water surface ratio decreased from north to south in China and were negatively correlated with natural/human influencing factors. Drainage density was more influenced by natural factors than by human factors, while the opposite was true for water surface ratio. These findings may provide some basis for the management and protection of the river network.

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Spatiotemporal Variations of Summer Precipitation and Their Correlations with the East Asian Summer Monsoon in the Poyang Lake Basin, China

Cited by 9 publications

References 55 publications

Impacts of Land Use and Land Cover on Water Quality at Multiple Buffer-Zone Scales in a Lakeside City

Impacts of Land Use and Land Cover on Water Quality at Multiple Buffer-Zone Scales in a Lakeside City

Controlling Phosphorus Transport in Poyang Lake Basin under the Constraints of Climate Change and Crop Yield Increase

Spatial Variations and Influencing Factors of River Networks in River Basins of China

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