Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors

Yu, Jiarui; Zou, Lei; Xia, Jun; Zhang, Yongyong; Zuo, Lingfeng; Li, Xiaoyang

doi:10.1016/j.jhydrol.2023.129503

Cited by 19 publications

(2 citation statements)

References 99 publications

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“…To tackle these challenges, this study conducted spatial analyses and investigated the spatial and temporal dynamics of the impacts of human activities on HQ in the Yangtze River Basin and its sub-basins using land-use data and the Human Footprint Index (HFI). The aim was to provide policy insights for integrated management and targeted habitat conservation measures in the Yangtze River Basin region [32]. By delineating areas of habitat restoration and degradation through the interpretation of data analysis results and emphasizing the different impacts of human activities on watershed segments (upper, middle, and lower), this study further advances the progress of integrated watershed habitat management, accelerates the progress of identifying vulnerable areas of habitats, and establishes a solid foundation for informed decision making on habitat conservation and ecosystem management within the YRB watershed.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin

Bian,

Yang,

Zhao

et al. 2024

Land

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Globally, natural habitats have suffered tremendous damage from human activities, a phenomenon that is increasingly evident in basin regions. The management of natural habitats in basin regions is dependent on understanding of the various impacts of human activities on these ecosystems. Despite the various studies that have been conducted on the effects of human activities on habitats in basin regions, there is still a lot of doubt regarding the impact of these activities on the quality of basin ecosystems. To fill this gap, this study employs a series of spatial analysis methods and logistic regression modeling to delve into the spatial and temporal patterns of human activities and habitat quality in the Yangtze River Basin (YRB) as well as the differences in the impacts of human activities on habitat quality in the sub-basins of the YRB. The findings indicate a 0.408% decline in the overall environmental quality of the YRB area from 2000 to 2020, accompanied by a 15.396% surge in human activities. Notably, the southeastern Qilian Mountains and the mountainous regions in the northwestern sector of the Sichuan Basin emerge as pivotal areas for habitat quality restoration. Conversely, the southwestern Qilian Mountains and the urban clusters in the Yangtze River Delta (YRD) face significant habitat quality deterioration. Spatial regression analyses reveal a noteworthy trend: the burgeoning human activities in the Yangtze River region pose a substantial threat to habitat recovery efforts. Further differential analyses focusing on the upper, middle, and lower basin segments underscore that human activities exert the most pronounced impact on habitat quality within the lower basin region, while the upper basin experiences the least influence. The implications of this study are manifold. It furnishes valuable policy insights for the comprehensive management and targeted preservation of habitats across the YRB. By delineating areas of habitat restoration and degradation and highlighting the differential impacts of human activities across basin segments, this research lays a solid foundation for informed decision making in habitat conservation and ecosystem management within the YRB.

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Section: Introductionmentioning

confidence: 99%

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin

Bian,

Yang,

Zhao

et al. 2024

Land

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“…River floods have caused the greatest loss of human life in recent years [5] and are also one of the main causes of economic collapse in several countries worldwide [2,5]. The Center for Research on the Epidemiology of Disasters (CRED) reported that among the countries affected by floods in 2018 were China, India and the United States [6]. Among the most important events that have occurred in the world, it is worth mentioning the sequence of floods that hit southern Germany in the months of May and June 2016, which caused total losses of 3.2 billion dollars.…”

Section: Introductionmentioning

confidence: 99%

River Flood Risk Assessment in Communities of the Peruvian Andes: A Semiquantitative Application for Disaster Prevention

Ccopi-Trucios,

Barzola-Rojas,

Ruiz-Soto

et al. 2023

Sustainability

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River floods are common natural phenomena that occur when the flow of water exceeds the capacity of a river due to excessive rainfall. In the Peruvian territory, the heavy rains of 2010 had consequences of great magnitude, leaving more than 5000 people affected and 25 dead in the Peruvian Andes. This research aimed to analyze and determine the level of risk due to river floods in communities of the Peruvian Andes in terms of hazard and vulnerability, using a semi-quantitative methodology and applying a multi-criteria analysis with vector information and raster from the national spatial data infrastructure that acted as triggering and conditioning factors, as well as conducting fieldwork with the application of targeted surveys. Then, the geoprocessing of thematic maps through GIS software was carried out. The research findings indicate that virtually the entire study area, approximately 99.26%, is at a high level of hazard, with only a small 0.74% classified as very high hazard. In other words, the entire studied territory is susceptible to floods. Furthermore, it is noteworthy that over 75% of the households in this area face vulnerability to floods, resulting in 99.15% of them being categorized at a high-risk level. It is concluded that river flooding represents a potential risk in large areas of the high Andean community due to the existence of various social, economic and environmental factors that make this phenomenon catastrophic.

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Geostatistical Interpolation Approach for Improving Flood Simulation Within a Data‐Scarce Region in the Tibetan Plateau

Guédé,

Yu,

Hofmeister

et al. 2024

Hydrological Processes

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The complex orography of the Tibetan plateau (TP) and the scarcity and uneven spatial distribution of meteorological stations present significant challenges in accurately estimating meteorological variables for hydrological simulations. This study aims to enhance the accuracy of daily precipitation and temperature interpolation for hydrological simulations in the Lhasa River Basin (LRB), particularly during flood events. We evaluate and compare the performance of deterministic Inverse Distance Weighting—IDW and geostatistical (Ordinary Kriging—OK and Kriging with External Drift—KED) interpolation methods for estimating precipitation and temperature patterns. Subsequently, we investigate the influence of different interpolation methods on hydrological simulations by using the interpolated meteorological data as input for the Water Balance Simulation Model (WaSiM) to simulate daily discharge in the LRB. Our results revealed that geostatistical methods, specifically OK and KED, are more effective in capturing the spatial variability and anisotropy inherent in precipitation patterns influenced by the Indian summer monsoons. In addition, the KED method effectively captured the daily variation of the temperature lapse rate, indicating the inadequacy of using a constant lapse rate for hydrological modelling in high‐elevation regions like the TP. The geostatistical technique outperformed the Deterministic method, with KED realising the best temperature and precipitation interpolation performance based on cross‐validation results. However, although KED provides superior results based on cross‐validation performance, applying its precipitation interpolation as input into WaSiM led to the poorest discharge simulation. The combination of OK for precipitation and KED for temperature produced the most accurate discharge simulations in the LRB, highlighting the importance of not solely relying on cross‐validation results but also considering the practical implications of interpolation methods on hydrological model outputs. Our study offers a robust framework for improving flood simulations and water resource management in a data‐scarce, high‐elevation region like the TP.

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Investigating the spatial–temporal changes of flood events across the Yangtze River Basin, China: Identification, spatial heterogeneity, and dominant impact factors

Cited by 19 publications

References 99 publications

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin

River Flood Risk Assessment in Communities of the Peruvian Andes: A Semiquantitative Application for Disaster Prevention

Geostatistical Interpolation Approach for Improving Flood Simulation Within a Data‐Scarce Region in the Tibetan Plateau

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