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The economic impacts of water supply restrictions due to climate and policy change: A transboundary river basin supply-side input-output analysis 期刊论文
ECOLOGICAL ECONOMICS, 2020, 172
作者:  Eamen, Leila;  Brouwer, Roy;  Razavi, Saman
收藏  |  浏览/下载:33/0  |  提交时间:2020/07/02
Supply-side input-output model  Transboundary river basin  Water supply restriction  Climate change  Economic impacts  Water policy  
Estimation of Direct and Indirect Economic Losses Caused by a Flood With Long-Lasting Inundation: Application to the 2011 Thailand Flood 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tanoue, M.;  Taguchi, R.;  Nakata, S.;  Watanabe, S.;  Fujimori, S.;  Hirabayashi, Y.
收藏  |  浏览/下载:38/0  |  提交时间:2020/07/02
Flood  Thailand  direct  indirect economic losses  computable general equilibrium model  global river and inundation model  
Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Wang, Ning;  Liu, Wenbin;  Sun, Fubao;  Yao, Zhihong;  Wang, Hong;  Liu, Wanqing
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/02
Satellite-based precipitation  Reanalysis-based precipitation  Error correction  Hydrological model  Xihe River Basin  
Global-scale human impact on delta morphology has led to net land area gain 期刊论文
NATURE, 2020, 577 (7791) : 514-+
作者:  Nienhuis, J. H.;  Ashton, A. D.;  Edmonds, D. A.;  Hoitink, A. J. F.;  Kettner, A. J.;  Rowland, J. C.;  Tornqvist, T. E.
收藏  |  浏览/下载:53/0  |  提交时间:2020/05/13

River deltas rank among the most economically and ecologically valuable environments on Earth. Even in the absence of sea-level rise, deltas are increasingly vulnerable to coastal hazards as declining sediment supply and climate change alter their sediment budget, affecting delta morphology and possibly leading to erosion(1-3). However, the relationship between deltaic sediment budgets, oceanographic forces of waves and tides, and delta morphology has remained poorly quantified. Here we show how the morphology of about 11,000 coastal deltas worldwide, ranging from small bayhead deltas to mega-deltas, has been affected by river damming and deforestation. We introduce a model that shows that present-day delta morphology varies across a continuum between wave (about 80 per cent), tide (around 10 per cent) and river (about 10 per cent) dominance, but that most large deltas are tide- and river-dominated. Over the past 30 years, despite sea-level rise, deltas globally have experienced a net land gain of 54 +/- 12 square kilometres per year (2 standard deviations), with the largest 1 per cent of deltas being responsible for 30 per cent of all net land area gains. Humans are a considerable driver of these net land gains-25 per cent of delta growth can be attributed to deforestation-induced increases in fluvial sediment supply. Yet for nearly 1,000 deltas, river damming(4) has resulted in a severe (more than 50 per cent) reduction in anthropogenic sediment flux, forcing a collective loss of 12 +/- 3.5 square kilometres per year (2 standard deviations) of deltaic land. Not all deltas lose land in response to river damming: deltas transitioning towards tide dominance are currently gaining land, probably through channel infilling. With expected accelerated sea-level rise(5), however, recent land gains are unlikely to be sustained throughout the twenty-first century. Understanding the redistribution of sediments by waves and tides will be critical for successfully predicting human-driven change to deltas, both locally and globally.


A global study of river deltas shows a net increase in delta area by about 54 km(2) yr(-1) over the past 30 years, in part due to deforestation-induced sediment delivery increase.


  
Channelization cascade in landscape evolution 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (3) : 1375-1382
作者:  Bonetti, Sara;  Hooshyar, Milad;  Camporeale, Carlo;  Porporato, Amilcare
收藏  |  浏览/下载:17/0  |  提交时间:2020/05/13
ridge and valley patterns  landscape evolution model  detachment limited  river networks  drainage area  
The past and future of global river ice 期刊论文
NATURE, 2020, 577 (7788) : 69-+
作者:  Yang, Xiao;  Pavelsky, Tamlin M.;  Allen, George H.
收藏  |  浏览/下载:44/0  |  提交时间:2020/05/13

More than one-third of Earth'  s landmass is drained by rivers that seasonally freeze over. Ice transforms the hydrologic(1,2), ecologic(3,4), climatic(5) and socio-economic(6-8) functions of river corridors. Although river ice extent has been shown to be declining in many regions of the world(1), the seasonality, historical change and predicted future changes in river ice extent and duration have not yet been quantified globally. Previous studies of river ice, which suggested that declines in extent and duration could be attributed to warming temperatures(9,10), were based on data from sparse locations. Furthermore, existing projections of future ice extent are based solely on the location of the 0-degrees C isotherm11. Here, using satellite observations, we show that the global extent of river ice is declining, and we project a mean decrease in seasonal ice duration of 6.10 +/- 0.08 days per 1-degrees C increase in global mean surface air temperature. We tracked the extent of river ice using over 400,000 clear-sky Landsat images spanning 1984-2018 and observed a mean decline of 2.5 percentage points globally in the past three decades. To project future changes in river ice extent, we developed an observationally calibrated and validated model, based on temperature and season, which reduced the mean bias by 87 per cent compared with the 0-degree-Celsius isotherm approach. We applied this model to future climate projections for 2080-2100: compared with 2009-2029, the average river ice duration declines by 16.7 days under Representative Concentration Pathway (RCP) 8.5, whereas under RCP 4.5 it declines on average by 7.3 days. Our results show that, globally, river ice is measurably declining and will continue to decline linearly with projected increases in surface air temperature towards the end of this century.


  
Understanding Terrestrial Water Storage Declining Trends in the Yellow River Basin 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019
作者:  Jing, Wenlong;  Yao, Ling;  Zhao, Xiaodan;  Zhang, Pengyan;  Liu, Yangxiaoyue;  Xia, Xiaolin;  Song, Jia;  Yang, Ji;  Li, Yong;  Zhou, Chenghu
收藏  |  浏览/下载:28/0  |  提交时间:2020/02/17
The Yellow River Basin  terrestrial water storage  GRACE satellites  land surface model  hydrology model  
River Water-Quality Concentration and Flux Estimation Can be Improved by Accounting for Serial Correlation Through an Autoregressive Model 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Zhang, Qian;  Hirsch, Robert M.
收藏  |  浏览/下载:22/0  |  提交时间:2020/02/16
flux estimation  autocorrelation  autoregressive model  Kalman filter  WRTDS  river water-quality monitoring  
Freezing Rain Events Related to Atmospheric Rivers and Associated Mechanisms for Western North America 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Liang, J.;  Sushama, L.
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
atmospheric river  freezing rain  regional climate model  
Evaluating the hydrological utility of latest IMERG products over the Upper Huaihe River Basin, China 期刊论文
ATMOSPHERIC RESEARCH, 2019, 225: 17-29
作者:  Su, Jianbin;  Lu, Haishen;  Zhu, Yonghua;  Cui, Yifan;  Wang, Xiaoyi
收藏  |  浏览/下载:23/0  |  提交时间:2019/11/27
Satellite precipitation product  GPM IMERG  Variable Infiltration Capacity model  The upper Huaihe River basin