Groundwater storage changes in the Tibetan Plateau and adjacent areas revealed from GRACE satellite gravity data

Understanding groundwater storage (GWS) changes is vital to the utilization and control of water resources in the Tibetan Plateau. However, well level observations are rare in this big area, and reliable hydrology models including GWS are not available. We use hydro-geodesy to quantitate GWS changes in the Tibetan Plateau and surroundings from 2003 to 2009 using a combined analysis of satellite gravity and satellite altimetry data, hydrology models as well as a model of glacial isostatic adjustment (GIA). Release-5 GRACE gravity data are jointly used in a mascon fitting method to estimate the terrestrial water storage (TWS) changes during the period, from which the hydrology contributions and the GIA effects are effectively deducted to give the estimates of GWS changes for 12 selected regions of interest. The hydrology contributions are carefully calculated from glaciers and lakes by ICESat-1 satellite altimetry data, permafrost degradation by an Active-Layer Depth (ALD) model, soil moisture and snow water equivalent by multiple hydrology models, and the GIA effects are calculated with the new ICE-6G_C (VM5a) model. Taking into account the measurement errors and the variability of the models, the uncertainties are rigorously estimated for the TWS changes, the hydrology contributions (including GWS changes) and the GIA effect. For the first time, we show explicitly separated GWS changes in the Tibetan Plateau and adjacent areas except for those to the south of the Himalayas. We find increasing trend rates for eight basins: +2.46 ±2.24Gt/yrfor the Jinsha River basin, +1.77 ±2.09Gt/yrfor the Nujiang-Lancangjiang Rivers Source Region, +1.86 ±1.69Gt/yrfor the Yangtze River Source Region, +1.14 ±1.39Gt/yrfor the Yellow River Source Region, +1.52 ±0.95Gt/yrfor the Qaidam basin, +1.66 ±1.52Gt/yrfor the central Qiangtang Nature Reserve, +5.37 ±2.17Gt/yrfor the Upper Indus basin and +2.77 ±0.99Gt/yrfor the Aksu River basin. All these increasing trends are most likely caused by increased runoff recharges from melt water and/or precipitation in the surroundings. We also find that the administrative actions such as the Chinese Ecological Protection and Construction Project help to store more groundwater in the Three Rivers Source Region, and suggest that seepages from the Endorheic basin to the west of it are a possible source for GWS increase in this region. In addition, our estimates for GWS changes basically confirm previous results along Afghanistan, Pakistan, north India and Bangladesh, and clearly reflect the excessive use of groundwater. Our results will benefit the water resource management in the study area, and are of particular significance for the ecological restoration in the Tibetan Plateau.published_or_final_versio

An effective strategy for the synthesis of biocompatible gold nanoparticles using danshensu antioxidant: prevention of cytotoxicity via attenuation of free radical formation

Abstract To suppress the cytotoxicity of gold nanoparticles (AuNPs), danshensu, a naturally occurring polyphenol antioxidant isolated from Chinese herb, was used to provide a fundamental protection layer for AuNPs, to alleviate oxidative stress and as a reducing agent to react with chloroauric acid. Besides danshensu, gum arabic was chosen as an auxiliary stabilising agent to improve the stability of AuNPs against aggregation. As expected, the prepared GA-DS-AuNPs (gum arabic-danshensu-gold nanoparticle) was remarkably stable in various buffer solutions. More interestingly, the GA-DS-AuNPs not only did not show any appreciable cytotoxicity, but also could alleviate the oxidative damage induced by AuNPs. Meanwhile, the ROS/RNS scavenging activities of GA-DS-AuNPs was evaluated by electron spin resonance spectroscopy (ESR), potentiometric nitric oxide (NO) sensor and cell confocal imaging. The results suggest that GA-DS-AuNPs might have effectively reduced the AuNPs-induced cytotoxicity and oxidative stress by downregulation of ROS/NOS production. The GA-DS-AuNPs may provide potential opportunities for the application in nanomedicine and nanobiology.postprin

Influences of crustal thickening in the Tibetan Plateau on loading modeling and inversion associated with water storage variation

We use the average crustal structure of the CRUST1.0 model for the Tibetan Plateau to establish a realistic earth model termed as TC1P, and data from the Global Land Data Assimilation System (GLDAS) hydrology model and Gravity Recovery and Climate Experiment (GRACE) data, to generate the hydrology signals assumed in this study. Modeling of surface radial displacements and gravity variation is performed using both TC1P and the global Preliminary Reference Earth Model (PREM). Furthermore, inversions of the hydrology signals based on simulated Global Positioning System (GPS) and GRACE data are performed using PREM. Results show that crust in TC1P is harder and softer than that in PREM above and below a depth of 15 km, respectively, causing larger differences in the computed load Love numbers and loading Green's functions. When annual hydrology signals are assumed, the differences of the radial displacements are found to be as large as approximately 0.6 mm for the truncated degree of 180; while for hydrology-trend signals the differences are very small. When annual hydrology signals and the trends are assumed, the differences in the surface gravity variation are very small. It is considered that TC1P can be used to efficiently remove the hydrological effects on the monitoring of crustal movement. It was also found that when PREM is used inappropriately, the inversion of the hydrology signals from simulated annual GPS signals can only recover approximately 88.0% of the annual hydrology signals for the truncated degree of 180, and the inversion of hydrology signals from the simulated trend GPS signals can recover approximately 92.5% for the truncated degree of 90. However, when using the simulated GRACE data, it is possible to recover almost 100%. Therefore, in future, the TC1P model can be used in the inversions of hydrology signals based on GPS network data. PREM is also valid for use with inversions of hydrology signals from GRACE data at resolutions of approximately 220 km and larger.published_or_final_versio

Water storage changes in North America retrieved from GRACE gravity and GPS data

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