Synergistic effect of drought and rainfall events of different patterns on watershed systems

Qiu, Jiali; Shen, Zhenyao; Leng, Guoyong; Wei, Guoyuan

doi:10.1038/s41598-021-97574-z

Cited by 31 publications

(17 citation statements)

References 85 publications

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“…Large PET variability manifests a rapid rate of soil water from land surface to the atmosphere (Qiu et al., 2021), contributing to the local transition from dry to wet periods. Large precipitation variability yields highly non‐uniform precipitation distributions (W. Zhang et al., 2021), and increases the intrinsic likelihood of dry and wet extremes (Swain et al., 2018).…”

Section: Resultsmentioning

confidence: 99%

Accelerated Transition Between Dry and Wet Periods in a Warming Climate

Chen

Wang

2022

Geophysical Research Letters

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The consecutive occurrence of meteorological dry and wet extremes has been receiving increasing attention due to potentially larger social and environmental impacts than single extremes. However, the changing characteristics of transitions between dry and wet periods remain poorly understood. Here we investigate the dynamic evolution of dry‐to‐wet transitions in response to climate warming, using the Standardized Precipitation Evapotranspiration Index as well as observations and general circulation models for the periods of 1954–2014 and 2040–2100. We find that approximately three‐fifths of global land area are projected to experience an accelerated dry‐to‐wet transition. Southern Asia has been experiencing the most severe dry‐to‐wet transitions and is projected to suffer more frequent, more intense, and accelerated dry‐to‐wet transitions. The increasing potential evapotranspiration (PET) variability plays an important role in accelerating the dry‐to‐wet transition in Southern Asia, while precipitation and PET variabilities contribute to the intensification of dry‐to‐wet transitions in Southern North America.

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Section: Resultsmentioning

confidence: 99%

Accelerated Transition Between Dry and Wet Periods in a Warming Climate

Chen

Wang

2022

Geophysical Research Letters

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“…In some cases, floods can limit the photosynthetic activity of the blooms by flushing (depending on the residence time of lakes) the biomass from the lakes, while also increasing nutrient emissions due to sewage overflows from urban areas. In addition, Qiu et al (2021) reported complex interactions of drought and precipitation events leading to the rapid flushing of accumulated sediments and nutrients influenced by soil water content, antecedent drought duration and other climatic variables. (Reichwaldt and Ghadouani 2012) analysed the effect of rainfall patterns on toxic cyanobacterial blooms and reported that: (i) increased frequency will reduce bloom occurrences due to disturbances in stratification, however (ii) the length of the dry period before rainfall combined with the intensity decides the ultimate effect of nutrient enrichment in lakes.…”

Section: Hydro-climatologymentioning

confidence: 99%

Recent advancement in water quality indicators for eutrophication in global freshwater lakes

Suresh

Tang

Vliet

et al. 2023

Environ. Res. Lett.

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Eutrophication is a major global concern in lakes, caused by excessive nutrient loadings (nitrogen and phosphorus) from human activities and likely exacerbated by climate change. Present use of indicators to monitor and assess lake eutrophication is restricted to water quality constituents (e.g., total phosphorus, total nitrogen) and does not necessarily represent global environmental changes and the anthropogenic influences within the lake’s drainage basin. Nutrients interact in multiple ways with climate, basin conditions (e.g., socio-economic development, point-source, diffuse source pollutants), and lake systems. It is therefore essential to account for complex feedback mechanisms and non-linear interactions that exist between nutrients and lake ecosystems in eutrophication assessments. However, the lack of a set of water quality indicators that represent a holistic understanding of lake eutrophication challenges such assessments, in addition to the limited water quality monitoring data available. In this review, we synthesize the main indicators of eutrophication for global freshwater lake basins that not only include the water quality constituents but also the sources, biogeochemical pathways and responses of nutrient emissions. We develop a new causal network (i.e., multiple links of indicators) using the DPSIR (drivers-pressure-state-impact-response) framework that highlights complex interrelationships among the indicators and provides a holistic perspective of eutrophication dynamics in freshwater lake basins. We further review the 30 key indicators of drivers and pressures using seven cross-cutting themes: (i) hydro-climatology; (ii) socio-economy; (iii) land use; (iv) lake characteristics; (v) crop farming and livestock; (vi) hydrology and water management; (vii) fishing and aquaculture. This study indicates a need for more comprehensive indicators that represent the complex mechanisms of eutrophication in lake systems, to guide the global expansion of water quality monitoring networks, and support integrated assessments to manage eutrophication. Finally, the indicators proposed in this study can be used by managers and decision-makers to monitor water quality and set realistic targets for sustainable water quality management to achieve clean water for all, in line with Sustainable Development Goal 6.

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“…Descobertas recentes apontam que a alta variabilidade climática como a ocorrência de episódios de seca extrema e chuvas intensas de modo sinérgico pode causar degradações ambientais em bacias hidrográficas (Qiu et al, 2021). Os mesmos pesquisadores ainda alertam que tal cenário pode comprometer a segurança hídrica.…”

Section: El Niño E Dipolo Positivounclassified

Estimativa de precipitação dos dados CHIRPS e GPCC em anos de extremos climáticos, Bacia Hidrográfica do rio Guamá-PA

Gomes

Beltrão

Pereira

et al. 2022

Rev. Bras. Geog. Fis.

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As mudanças climáticas têm provocado maior frequência e intensidade de eventos extremos em todo mundo. Então, o monitoramento hidroclimático é essencial para o conhecimento da variabilidade. O objetivo deste trabalho é analisar o desempenho dos conjuntos de dados CHIRPS e GPCC na estimação da precipitação em anos de extremos climáticos na bacia hidrográfica do rio Guamá. Utilizou-se índices climáticos da National Oceanic and Atmospheric Administration, dados pluviométricos medidos da Agência Nacional de Águas, conjunto de dados estimados Climate Hazards Group InfraRed Precipitation with Stations e Global Precipitation Climatology Center. Calculou-se a média e o desvio padrão da chuva ao longo dos anos para detecção dos anos extremos. Realizou-se análises estatísticas para aferição da qualidade dos dados estimados. Construiu-se gráficos para analisar a variação temporal e mapas em ambiente de Sistema de Informação Geográfica para a observação espacial da chuva estimada. A estatística mostrou melhor correlação para Belém, ajuste perfeito e sem erros significativos para Irituia, apesar tendências de subestimação elevada do GPCC. Os indicadores climáticos estão bem associados aos anos extremos. Em anos de El Niño e Dipolo positivo identifica-se a redução das chuvas principalmente á Sudeste. Em contrapartida, no La Niña e o Dipolo negativo observa-se o aumento da precipitação concentrando-se na parte Noroeste. Há tendências de excedente pluviométrico na bacia hidrográfica do rio Guamá (CHIRPS), sendo o produto mais representativo da variabilidade em anos extremos. Assim, questionamentos sobre o quanto os eventos climáticos provocam maior dificuldade na estimação pluviométrica em áreas sem medições, precisam ser mais investigados para melhoria dos produtos estimadores de chuva. Rainfall estimate from CHIRPS and GPCC data in years of extreme weather, Guamá watershed-PA ABSTRACT Climate change has caused greater frequency and intensity of extreme events around the world. So, hydroclimatic monitoring is essential for understanding the spatial and temporal variability of precipitation, which is generally the meteorological element that conducts natural disasters. The objective of this scientific study is to analyze the performance of the CHIRPS and GPCC datasets in the estimation of the spatial-temporal variability of rainfall in years of climatic extremes in the Guamá watershed. Used the National Oceanic and Atmospheric Administration climate indices, measured rainfall data from the National Water Agency, an estimated Climate Hazards Group, InfraRed Precipitation with Stations and Global Precipitation Climatology Center dataset. The mean and standard deviation of rainfall over the years was calculated to detect extreme years. Performed statistical calculations to measure the quality of estimated data. Graphs were built to analyze temporal variation and maps in a Geographic Information System environment for the observation of the spatial distribution of estimated rainfall. The statistic showed better correlation for Belém, perfect fit and no significant errors for Irituia, although high underestimation tendencies of the GPCC. Weather indicators are well associated with extreme years. In years of El Niño and positive Dipole, there is a reduction in rainfall, especially in the Southeast region. Though, when there is La Niña and a negative Dipole, there is an increase in rainfall, concentrating in the Northwestern region. There are trends in excess rainfall in the Guamá watershed (CHIRPS), being the most representative product of variability in extreme years. Thus, questions about the extent to which weather events cause greater difficulty in estimating rainfall in areas without measurements need to be further investigated to improve rainfall estimation products.

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Synergistic effect of drought and rainfall events of different patterns on watershed systems

Cited by 31 publications

References 85 publications

Accelerated Transition Between Dry and Wet Periods in a Warming Climate

Accelerated Transition Between Dry and Wet Periods in a Warming Climate

Recent advancement in water quality indicators for eutrophication in global freshwater lakes

Estimativa de precipitação dos dados CHIRPS e GPCC em anos de extremos climáticos, Bacia Hidrográfica do rio Guamá-PA

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