Water resource spatiotemporal pattern evaluation of the upstream Yangtze River corresponding to climate changes

Wang, Yuhui; Liao, Weihong; Ding, Yi; Xu, Wei; Jiang, Yunzhong; Song, Xinshan; Lei, Xiaohui

doi:10.1016/j.quaint.2015.02.023

Cited by 37 publications

(23 citation statements)

References 34 publications

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“…Wang et al . 55 and Jiang et al . 56 found warming trends in the range of 0.06–0.30 °Cy −1 during recent decades in the headwaters of the Yangtze River Basin (YTR).…”

Section: Introductionmentioning

confidence: 94%

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Ding

Cuo

Zhang

et al. 2018

Sci Rep

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In this study, the spatiotemporal distributions of monthly and annual temperature minima (Tmin) and maxima (Tmax), extreme Tmin and Tmax, the highest (lowest) Tmin (Tmax), frost day (FD), icing day (ID), summer day (SD) and tropical night (TR) at 112 stations and over the ten large river basins on the Tibetan Plateau and its surroundings (TPS) during 1963–2015 are examined. Mann-Kendall test is applied for the trends. The analyses show: the northwest experiences the hottest summer while the central TPS has the coldest winter and most frequent frost and icing days. The northwest (southeast) features the highest (lowest) monthly extreme temperature ranges. The northwest has the most frequent hot summer days, whereas the southeast has the least frequent frost and icing days. The entire TPS displays few tropical nights. Most stations show positive trends for all monthly and annual Tmin and Tmax variables. February displays the most positive trends for both monthly Tmin and Tmax variables while April shows the highest number of stations with decreasing trends in monthly Tmax. The trends of FD and ID are negative, whereas the trends of SU and TR are positive. Over river basins, the trends of monthly Tmin are all positive and statistically significant and the trends of monthly Tmax are all positive except for one negative trend and around 1/3 of the positive trends are statistically significant. Relatively larger increases in monthly Tmin and Tmax are noted for the cold season than the warm. The monthly and annual Tmin variables increase more than Tmax variables.

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“…Wang et al . 55 and Jiang et al . 56 found warming trends in the range of 0.06–0.30 °Cy −1 during recent decades in the headwaters of the Yangtze River Basin (YTR).…”

Section: Introductionmentioning

confidence: 94%

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Ding

Cuo

Zhang

et al. 2018

Sci Rep

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“…In previous studies, a number of process-based hydrological models were adopted for studying climate change studies in this region. For example, [19] proposed a rainfall-runoff process-based distributed hydrological model to explore the evolution of spatiotemporal variations of water resources from 1999 to 2099 associated with discussions on implications and uncertainties in the upstream Yangtze River region. Birkinshaw et al (2017) [20] developed Shetran, a process-based, distributed hydrological model, to simulate discharge in the Yangtze River below the Three Gorges Dam at Yichang and examine the effect of climate change on river discharge for 2041-2070.…”

Section: Rainfall Discharge Modeling Over the Jinsha River Basinmentioning

confidence: 99%

Adaptation of Cascade Hydropower Station Scheduling on A Headwater Stream of the Yangtze River under Changing Climate Conditions

Zhai

Lin

Guo

et al. 2017

Water

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Abstract:Cascade hydropower stations are effective in water resource utilization, regional water allocation, and flood risk management. Under changing climate conditions, water resources would experience complex temporal and spatial changes, which may lead to various issues relating to flood control and water resource management, and challenge the existing optimal scheduling of cascade hydropower stations. It is thus important to conduct a study on cascade hydropower station scheduling under changing climate conditions. In this study, the Jinsha River rainfall-discharge statistical model is developed based on the statistical relationship between meteorological and runoff indicators. Validation results indicate that the developed model is capable of generating satisfactory simulation results and thus can be used for future Jinsha River runoff projection under climate change. Meanwhile, the Providing Regional Climates for Impacts Studies (PRECIS) is run to project future rainfall in the Jinsha River basin under two General Circulation Models (ECHAM5 and HadAM3P), two scenarios (A1B and B2), and four periods (1961-1990, 1991-2020, 2021-2050, and 2051-2099). The regional climate modeling data are analyzed and then fed into the Jinsha hydrological model to analyze the trends of future discharge at Xiangjiaba Hydro Station. Adaptive scheduling strategies for cascade hydropower stations are discussed based on the future inflow trend analysis and current flood scheduling mode. It is suggested that cascade hydropower stations could be operated at flood limited water level (FLWL) during 2021-2099. In addition, the impoundment of cascade hydropower stations should be properly delayed during the post-flood season in response to the possible occurrence of increased and extended inflow in wet seasons.

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“…However, in large and midsize cities, continuous population growth has resulted in an obvious increase in total water consumption. Totally, domestic and ecological water consumption has increased, but agricultural and industrial water consumption has decreased (Wang et al 2015).…”

Section: Inhabited Environment 421 Electricity and Fuel Gas Consummentioning

confidence: 99%

The inhabited environment, infrastructure development and advanced urbanization in China’s Yangtze River Delta Region

Zhu

Gao

Zhou

et al. 2016

Environ. Res. Lett.

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This paper analyzes the relationship among the inhabited environment, infrastructure development and environmental impacts in China's heavily urbanized Yangtze River Delta region. Using primary human environment data for the period 2006-2014, we examine factors affecting the inhabited environment and infrastructure development: urban population, GDP, built-up area, energy consumption, waste emission, transportation, real estate and urban greenery. Then we empirically investigate the impact of advanced urbanization with consideration of cities' differences. Results from this study show that the growth rate of the inhabited environment and infrastructure development is strongly influenced by regional development structure, functional orientations, traffic network and urban size and form. The effect of advanced urbanization is more significant in large and mid-size cities than huge and mega cities. Energy consumption, waste emission and real estate in large and midsize cities developed at an unprecedented rate with the rapid increase of economy. However, urban development of huge and mega cities gradually tended to be saturated. The transition development in these cities improved the inhabited environment and ecological protection instead of the urban construction simply. To maintain a sustainable advanced urbanization process, policy implications included urban sprawl control polices, ecological development mechanisms and reforming the economic structure for huge and mega cities, and construct major cross-regional infrastructure, enhance the carrying capacity and improvement of energy efficiency and structure for large and midsize cities.

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Water resource spatiotemporal pattern evaluation of the upstream Yangtze River corresponding to climate changes

Cited by 37 publications

References 34 publications

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Monthly and annual temperature extremes and their changes on the Tibetan Plateau and its surroundings during 1963–2015

Adaptation of Cascade Hydropower Station Scheduling on A Headwater Stream of the Yangtze River under Changing Climate Conditions

The inhabited environment, infrastructure development and advanced urbanization in China’s Yangtze River Delta Region

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