Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.     

Changes in potential evapotranspiration and surface runoff in 1981–2010 and the driving factors in Upper Heihe River Basin in Northwest China

Changes in potential evapotranspiration and surface runoff can have profound implications for hydrological processes in arid and semiarid regions. In this study, we investigated the response of hydrological processes to climate change in Upper Heihe River Basin in Northwest China for the period from 1981 to 2010. We used agronomic, climatic and hydrological data to drive the Soil and Water Assessment Tool model for changes in potential evapotranspiration (ET₀) and surface runoff and the driving factors in the study area. The results showed that increasing autumn temperature increased snow melt, resulting in increased surface runoff, especially in September and October. The spatial distribution of annual runoff was different from that of seasonal runoff, with the highest runoff in Yeniugou River, followed by Babaohe River and then the tributaries in the northern of the basin. There was no evaporation paradox at annual and seasonal time scales, and annual ET₀ was driven mainly by wind speed. ET₀ was driven by relative humidity in spring, sunshine hour duration in autumn and both sunshine hour duration and relative humility in summer. Surface runoff was controlled by temperature in spring and winter and by precipitation in summer (flood season). Although surface runoff increased in autumn with increasing temperature, it depended on rainfall in September and on temperature in October and November. Copyright © 2016 John Wiley & Sons, Ltd.     

Precipitation variability assessment of northeast China: Songhua River basin

Variability in precipitation is critical for the management of water resources. In this study, the research entropy base concept was applied to investigate spatial and temporal variability of the precipitation during 1964–2013 in the Songhua River basin of Heilongjiang Province in China. Sample entropy was applied on precipitation data on a monthly, seasonally, annually, decade scale and the number of rainy days for each selected station. Intensity entropy and apportionment entropy were used to calculate the variability over individual year and decade, respectively. Subsequently, Spearman’s Rho and Mann–Kendall tests were applied to observe for trends in the precipitation time series. The statistics of sample disorder index showed that the precipitation during February (mean 1.09, max. 1.26 and min. 0.80), April (mean 1.12, max. 1.29 and min. 0.99) and July (mean 1.10, max. 1.20 and min. 0.98) contributed significantly higher than those of other months. Overall, the contribution of the winter season was considerably high with a standard deviation of 0.10. The precipitation variability on decade basis was observed to increase from decade 1964–1973 and 1994–2003 with a mean value of decadal apportionment disorder index 0.023 and 0.053, respectively. In addition, the Mann–Kendall test value (1.90) showed a significant positive trend only at the Shangzhi station.     

阿尔泰小土尔根铜矿区岩体LA-ICP-MS锆石U-Pb定年及地质意义

小土尔根是近年来阿尔泰诺尔特盆地发现的首例斑岩铜矿床,其成岩成矿年代学的研究可以对矿床模型构建、区域成矿规律的总结提供制约。矿区侵入岩发育,矿化受花岗闪长斑岩控制,少部分赋存在地层中。文章利用LA-ICP-MS锆石U-Pb测年法对矿区岩体进行了成岩年代学研究。含矿花岗闪长斑岩、黑云二长花岗岩和花岗斑岩中锆石的206Pb/238U年龄的加权平均值分别为(401.0±2.9)Ma、(398.1±2.2)Ma和(400.5±2.0)Ma,为早泥盆世同一岩浆侵入活动形成的不同侵入岩。侵入岩年龄结合凝灰岩年龄,将矿区地层划归早泥盆世诺尔特组。含矿花岗闪长斑岩锆石U-Pb年龄限定小土尔根斑岩铜矿床成矿时代略晚于401 Ma,即矿床形成于早泥盆世。     

阿拉善右旗石窝子―三个井地区找矿潜力分析

内蒙古阿拉善右旗石窝子―三个井地区位于华北板块西北缘与塔里木板块东北缘的结合部位,北部紧邻西伯利亚板块(郝立波等, 2004)。三级成矿带属于朱拉扎嘎―甲生盘元古代、古生代金、铅、锌、硫、铁、铜、铂、镍成矿带（Ⅲ12）,四级成矿带属于朱拉扎嘎金成矿带（Ⅳ123）(内蒙古自治区地质矿产局, 1991)。区域上已发现的矿种主要有煤、盐湖、芒硝、铁、金、磷、石灰岩、石膏、膨润土、滑石、饰面花岗岩等,代表性矿床有叠布斯格、卡休他他铁矿,朱拉扎嘎金矿,脑木洪铜多金属矿等。     

气象预警信息一键式发布系统研究与应用

基于WebGIS、HTTP通信、数据库等技术,制定了一键式预警信息发布规范,有效整合了电子显示屏、预警大喇叭、手机等预警发布终端,开发了气象预警信息一键式发布平台,实现了地图综合显示、气象数据叠加、任意预警区域选取、一键式发布预警信息等功能,提高了预警信息发布的可视化水平,保证了多终端预警信息发布的高效性、一致性。该系统的一键式信息发布技术,为气象预警发布开拓了新思路,能够有效提升业务水平和预警发布能力。