A multi-cycle climatic fluctuation record of the last interglacial period: Typical stratigraphic section in the Salawusu River Valley on the Ordos Plateau, China

IEECAS SKLLQG

Relationships between precipitation, soil water and groundwater at Chongling catchment with the typical vegetation cover in the Taihang mountainous region, China

Vegetation cover plays an important role in the process of evaporation and infiltration. To explore the relationships between precipitation, soil water and groundwater in Taihang mountainous region, China, precipitation, soil water and water table were observed from 2004 to 2006, and precipitation, soil water and groundwater were sampled in 2004 and 2005 for oxygen-18 and deuterium analysis at Chongling catchment. The soil water was sampled at three sites covered by grass (Carex humilis and Carex lanceolata), acacia and arborvitae respectively. Precipitation is mainly concentrated in rainy seasons and has no significant spatial variance in study area. The stable isotopic compositions are enriched in precipitation and soil water due to the evaporation. The analysis of soil water potential and isotopic profiles shows that evaporation of soil water under arborvitae cover is weaker than under grass and acacia, while soil water evaporation under grass and acacia showed no significant difference. Both delta O-18 profiles and soil water potential dynamics reveal that the soil under acacia allows the most rapid infiltration rate, which may be related to preferential flow. In the process of infiltration after a rainstorm, antecedent water still takes up over 30% of water in the topsoil. The soil water between depths of 0-115 cm under grass has a residence time of about 20 days in the rainy season. Groundwater recharge from precipitation mainly occurs in the rainy season, especially when rainstorms or successive heavy rain events happen.

Study on new typical ionic clusters K+ (KNO3)(n) and NO3-(KNO3)(m)

The sample solution of KNO3 is ejected into the gas phase and the ionic dusters of K+(KNO3)(n) and NO3-(KNO3)(m) we formed and observed by electrospray ionization mass spectrometry (ESIMS). The full mass spectra of both the positive ion and the negative ion show that the differences between each peak nearby are all about 101(m/z), which correspond to the molecular weight of KNO3. The general formula of the ionic clusters can be assigned as K+ (KNO3)(n) and NO3--(KNO3)(m).

New typical ionic cluster K+(KNO3)(n) and NO3-(KNO3)(m)

New typical ionic clusters with complex anions could be formed directly from the KNO3 aqueous solution by means of the electrospray ionization mass spectrometry(ESIMS). The difference between the neighboring peaks(m/z), which corresponded to the molecule weight of KNO3 being 101 in the full mass spectrometry of the positive-ion and the negative-ion. The general formula of the ionic clusters belonged to K+(KNO3)(n) and NO3- (KNO3)(m).

Studies on the two class glass transition and the typical VTF behaviour of an amorphous comb polymer electrolyte

A comb polymer (CP350) with oligo-oxyethylene side chains of the type -(CH2CH2O)(7)CH3 was prepared from methyl vinyl ether/maleic anhydride copolymer and poly(ethylene glycol) methyl ether. The polymer can dissolve LiNO3 salt to form homogeneous amorphous polymer electrolyte. This electrolyte system was first found to have two class glass transitions, and the two T(g)s were observed to increase with increasing salt content. The ionic conduction was measured by using the complex impedance method, and conductivities were investigated as functions of temperature and salt concentration. At 25 degrees C, the ionic conductivity maximum of this system can get to 3.72 X 10(-5) S/cm at the [Li]/ [EO] ratio of 0.057. The appearance of the conductivity maximum has been interpreted as being due to the effect of T-g and the so called physical crosslinks. The temperature dependence of the ionic conductivity displaying non-Arrhenius behaviour can be analyzed using the Vogel-Tammann-Fulcher equation and interpreted on the basis of the configurational entropy model.