The analysis of water vapor budget and its future change in the Yellow-Huai-Hai region of China

Abstract

This study aims to analyze the atmospheric water vapor budget changes in the Yellow-Huai-Hai River basin and explore the possible relationship between water vapor budget and precipitation. The Fifth Phase of the Coupled Model Intercomparison Project is used to assess the future change of water vapor in the region. Corrected general circulation model outputs are evaluated, and multimodel ensemble is used to project the future atmospheric water vapor changes. Results show the following: (1) Water vapor in wet summer, which is transported from Bengal Bay and west Pacific Ocean and accounts for the largest part of annual transport, has similar distribution with precipitation in the study area; (2) Strong evidences indicate significant relationships between the precipitation and water vapor in humid area and semihumid area, but poor relationship in semiarid area; (3) The future climate of the region is projected to be wetter but has a "dry belt" located in the Hai River basin, the north of the Huai River basin and the southeast of the Yellow River basin during 2020s, which will reduce rapidly afterward; (4) Summer water vapor changes depend mainly on the meridional transport. The changes under RCP4.5 scenario are smaller than that under RCP8.5 and the increases are more significantly in 2080s under both scenarios. The water vapor has a larger increase in the Huai River basin than that in the other two basins. Future water vapor changes will likely lead to exacerbated problems caused by the uneven distribution of precipitation and produce serious challenges to water resource management in agriculture, industry and the environment.

Short-term grazing exclusion has no impact on soil properties and nutrients of degraded alpine grassland in Tibet, China

“…The data sources include monthly mean temperature and monthly precipitation data from more than 2400 well-distributed climate stations across China, as well as digital elevation model (DEM) data. The meteorological gridded data sets were generated by CMDSSS through the thin plate spline (TPS) method using ANUSPLIN software (ERSI, Redlands, California, USA), and a goodness of fit of the interpolated values was validated by CMDSSS (Shi et al, 2014). The growing season temperature (GST) and growing season precipitation (GSP) were defined as the average air temperature and the accumulated precipitation during the growing season of alpine grasslands from May to September.…”

Precipitation changes in the Qilian Mountains associated with the shifts of regional atmospheric water vapour during 1960–2014

“…Water vapour transport budget is the balance between the inputs and outputs of moisture over a region in a specific time period, which reflects the amount of the regional atmospheric water vapour falling to the ground and greatly impacts regional precipitation (Shi et al, ). Inter‐annual changes of the water vapour budget will definitely have important effects on the regional precipitation.…”

Hydrological Drought Regimes of the Huai River Basin, China: Probabilistic Behavior, Causes and Implications

“…Yan et al (2014) analyzed the daily precipitation and showed that the precipitation of most months in drought years was reduced, therefore the relevant strategies ("annual basin-wide of long-term drought prevention") should be carried out [21]. Shi et al (2014) showed that the reservoir regulations had apparently altered the monthly and seasonal streamflow in the upper HRB. The decreasing trend of the annual streamflow was found, and human activities were proven to be the dominant driving factor behind the decreasing annual streamflow [22].…”