Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China

Sun, Zhangli; Zhu, Xiufang; Pan, Yaozhong; Zhang, Jinshui; Liu, Xianfeng

doi:10.1016/j.scitotenv.2018.03.292

Cited by 158 publications

(89 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To describe and monitor drought events quantitatively, some studies have used statistical methods to establish a common drought index according to the mechanism of drought occurrence [3]. For example, the Palmer Drought Index, which was proposed by Palmer in 1965, has become the semi-official drought index of the United States [4]. The Standardized Precipitation Index (SPI) established by McKee in 1993 is based on long-term precipitation records and has been used widely to analyze the characteristics of drought in various regions [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China

et al. 2019

View full text Add to dashboard Cite

This study investigated the accuracy and drought monitoring application of two newly-released long-term satellite precipitation products (i.e., the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record, PERSIANN-CDR and the Climate Hazards Group Infrared Precipitation with Station data version 2.0 CHIRPS) and the latest reanalysis precipitation product (i.e., the Global Precipitation Climatology Centre full data monthly version 2018, GPCC 8.0). Satellite- and reanalysis-based precipitation sequences and standardized precipitation indices (SPIs) were compared comprehensively with background estimates of the China Gauge-based Daily Precipitation Analysis (CGDPA) dataset at spatial and multiple temporal scales over the Yellow River Basin (YRB) in China during 1983–2016. Results indicated the PERSIANN-CDR, CHIRPS and GPCC 8.0 precipitation products generally had good consistency with CGDPA (correlation coefficient, CC > 0.78). At spatial, monthly and seasonal scales, the consistency between GPCC 8.0 and CGDPA precipitation was found to be better than that of the two satellite products. Due to their good performance at the spatiotemporal scale, the satellite with long-time record and GPCC 8.0 products were evaluated and compared with CGDPA to derive SPI-1 (1-month SPI), SPI-3 (3-month SPI), and SPI-12 (12-month SPI) for drought monitoring in the YRB. The results showed that they had good application in monitoring droughts (CC > 0.65 at spatial scale, CC > 0.84 at temporal scale). The historical drought years (i.e., 1997, 1999, and 2006) and the spatial distribution of drought area in August 1997 were captured successfully, but the performance of GPCC 8.0 was found to be the best. Overall, GPCC 8.0 is considered best suited to complement precipitation datasets for long-term hydrometeorological research in the YRB.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China

et al. 2019

View full text Add to dashboard Cite

show abstract

“…In addition, the population explosion, urbanization, large-scale deforestation and wasteland led to a reduction of ecological land [37], and the enlargement of agricultural and urban land also increased the loss of sediment and adsorbed pollutants [38]. Secondly, due to uneven rainfall in the URYR [27,28], the increase in rainfall from 1960 to 1980 exacerbated soil erosion, which resulted in the augment of sediment and adsorbed pollutants in the study area. Subsequently, the state implemented family planning policies, and the population growth rate slowed after 1990.…”

Section: Temporal Variation Of Anthropogenic Effects On Nps Pollutantmentioning

confidence: 99%

“…The topography and geomorphology are complex and varied, including the Qinghai-Xizang plateau, Hengshan mountains, Yungui plateau, Sichuan basin and so on [26]. The average annual rainfall in the basin is 800.7 mm [27], and the precipitation is mainly concentrated in summer, accounting for 60% of the total precipitation in the whole year [28], with minimal precipitation in winter (from December to February). The areas with the most abundant precipitation are located on the eastern and western edges of the Sichuan basin, and the annual precipitation exceeds 1000 mm.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Effects of Anthropogenic Factors on Nonpoint Source Pollution in the Upper Reaches of the Yangtze River

Ding

Liu

2019

Sustainability

View full text Add to dashboard Cite

With the continuous enhancement of point source pollution control, non-point source (NPS) pollution has become an important factor in the deterioration of surface water quality. Meanwhile, due to the soaring global population, long-term effects of anthropogenic factors on non-point source pollution in large river basins have increasingly attracted worldwide attention. The Yangtze river is the largest river basin of China, and protecting its ecological environment has great significance on protecting the lifeline of the entire Yangtze river. In this study, the improved output coefficient and nutrient losses empirical model were used to conduct space–time simulations of non-point source pollution in the upper reaches of the Yangtze river (URYR) based on GIS during 1960–2003. This method reveals the anthropogenic effects of non-point source pollution in the upper reaches of the Yangtze river. The results indicate that the impacts of anthropogenic factors on dissolved pollutants increased significantly, while those on sediment and adsorbed pollutants increased first and then decreased during the simulation year. Agricultural land use and atmospheric deposition, as well as rural life, were the main sources of dissolved pollutants. In addition, dry land and paddy fields were the major sources of sediment and adsorbed pollutants. For the load intensities, the long-term effects of anthropogenic factors on dissolved pollutants increased rapidly, and those on the load intensity of sediment and adsorbed pollutants increased first and then decreased. Therefore, the study would propose some corresponding environmental management measures to strengthen environmental protection and non-point source pollution control in the upper reaches of the Yangtze river.

show abstract

“…GRACE measurements were used to derive maps of the Earth's gravity field which are sensitive to movements in water storage components in the hydrological system (Ramillien et al, 2008). The GRACE-based hydrological drought index (GHDI) (Yi & Wen, 2016), Water Storage Deficit Index (WSDI) and the Total Water Storage Deficit (TWSD) (Sun et al, 2018) are drought indices based on the total water storage (TWS) changes.…”

Section: Hydro-meteorological Remote Sensing Approachmentioning

confidence: 99%

A Typology of Indices for Drought Assessment.

Chelu¹

2019

Air and Water Components of the Environment Conference

View full text Add to dashboard Cite

Drought is one of the most disastrous and costly natural hazards determined by a deficit of precipitation in a particular area. It causes large economic losses and affects access to water in various parts of the planet. Water scarcity impacts natural ecosystems and human activities dependent on water resources, especially crop production. Monitoring drought is therefore crucial to the evaluation of its impacts and to address the issue in a timely manner, in order to develop and implement mitigation measures. Various methodologies have been advanced to quantify essential drought characteristics, such as time of onset and ending, duration and intensity. The objective of this paper is to review the existing indices used for drought identification and assessment and to propose an index typology. The study employs bibliographical research, synthesis and classification of indices by data source input and their aims. The results provide a brief overview of the drought indices based on measured or modelled data (meteorological, hydrologic or agricultural approaches), remote sensing data (hydrometeorological or ecological approaches) and multivariate or composite indices.

show abstract

Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China

Cited by 158 publications

References 48 publications

Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China

Performance of Two Long-Term Satellite-Based and GPCC 8.0 Precipitation Products for Drought Monitoring over the Yellow River Basin in China

Long-Term Effects of Anthropogenic Factors on Nonpoint Source Pollution in the Upper Reaches of the Yangtze River

A Typology of Indices for Drought Assessment.

Contact Info

Product

Resources

About