Dynamics and driving mechanisms of asymmetric human water consumption during alternating wet and dry periods

Increases in human water consumption (HWC) and consequent degradation of the ecological environment are common in arid regions. Understanding the mechanisms behind these processes is important for sustainable development. Analyses of changes in HWC between alternating wet and dry periods are carried out in four arid inland basins in Central Asia and China (Syr Darya, Tarim, Heihe and Shulehe river basins). Based on runoff records, the presence of an asymmetric HWC response is proved (p < 0.01), with an increase in HWC during wet periods and a muted decrease during subsequent dry periods. This behaviour is interpreted by invoking theories from behavioural economics at the individual and community levels. A simple model based on these theories is shown to be able to reproduce the observed dynamics and is used to discuss the importance of strengthening institutional factors for water sustainability.     

A three-dimensional variational data assimilation system for a size-resolved aerosol model: Implementation and application for particulate matter and gaseous pollutant forecasts across China

A three-dimensional variational(3DVAR) data assimilation(DA) system is presented here based on a size-resolved sectional aerosol model, the Model for Simulating Aerosol Interactions and Chemistry(MOSAIC) within the Weather Research and Forecasting model coupled to Chemistry(WRF-Chem) model. The use of this approach means that both gaseous pollutants such as SO_2, NO_2, CO, and O_3 as well as particulate matter(PM_(2.5), PM_(10)) observational data can be assimilated simultaneously.Two one-month parallel simulation experiments were conducted, one with the assimilation of surface hourly concentration observations of the above six pollutants released by the China National Environmental Monitoring Centre(CNEMC) and one without assimilation in order to verify the impact of assimilation on initial chemical fields and subsequent forecasts. Results show that, in the first place, use of the DA system can provide a more accurate model initial field. The root-mean-square error of PM_(2.5), PM_(10), SO_2, NO_2, CO, and O_3 mass concentrations in analysis field fell by 29.27 μg m~(-3)(53.5%), 34.5 μg m~(-3)(50.9%),30.36 μg m~(-3)(64.2%), 8.91 μg m~(-3)(39.5%), 0.46 mg m~(-3)(47.4%), and 15.11 μg m~(-3)(51.0%), respectively, compared to a background field without assimilation. At the same time, mean fraction error was reduced by 42.6%, 53.1%, 45.2%, 43.1%,69.9%, and 48.8%, respectively, while the correlation coefficient increased by 0.51, 0.55, 0.48, 0.38, 0.47, 0.65, respectively.Secondly, the results of this analysis reveal variable benefits from assimilation on different pollutants. DA significantly improves PM_(2.5), PM_(10), and CO forecasts leading to positive effects that last more than 48 h. The positive effects of DA on SO_2 and O_3 forecasts last up to 8 h but that remains relatively poor for NO_2 forecasts. Thirdly, the influence of assimilation varies in different areas. It is possible that the positive effects of DA on PM_(2.5) and PM_(10) forecasts can last more than 48 h across most regions of China. Indeed, DA significantly improves SO_2 forecasts within 48 h over north China, and much longer CO assimilation benefits(48 h) are found in most regions apart from north and east China and across the Sichuan Basin. DA is able to improve O_3 forecasts within 48 h across China with the exception of southwest and northwest regions and the O_3 DA benefits in southern China are more evident, while from a spatial distribution perspective, NO_2 DA benefits remain relatively poor.     

基于生态敏感性和生态系统服务的黑河中游生态功能区划与生态系统管理

生态功能区划是协调生态保护与经济发展的矛盾、实施区域生态系统管理的重要途径。以黑河中游为研究区,基于基础地理信息数据、自然地理数据和土地覆被数据（1986、1995、2000、2010、2011年）,在生态敏感性和生态系统服务重要性分析的基础上,以最小子流域为基本单元,运用二阶聚类法进行生态功能区划;并依据主导生态系统服务对研究区进行分区管理与生态调控。得出结论：（1）黑河中游生态系统类型以荒漠、草地和农田为主,占总面积的90%;森林、水域、城镇与农村居民点零星分布,所占面积不到10%;1986-2010年,农田经历了减少-扩张-再减少的变化,但城镇与农村居民点一直呈现扩张趋势;（2）西北部生态敏感性明显高于东南部,其中极敏感区（约占24%）主要位于张掖-临泽-高台平原北侧、合黎山、祁连山山前戈壁与荒漠、肃南明花区;高度敏感区（约占58%）分布于走廊中部冲洪积平原;（3）各生态系统服务重要性空间分布格局具有一定的相似性,非常重要和极重要综合服务功能区约占3.2%,位于走廊中部的黑河干流缓冲区内;中等和一般重要地区约占20%,分布在山丹和民乐境内祁连山、焉支山、龙首山附近;（4）黑河中游可分为祁连山森林草地生态区、走廊冲洪积平原农田生态区和走廊北部平原灌丛荒漠生态区3个生态区8个生态功能区,依其主导生态系统服务分为生态保育区、生态协调区和生态控制区3类,进而提出了对应的生态系统管理措施。     

湖南省饮用天然矿泉水资源潜力评价与开发利用区划

湖南省饮用天然矿泉水资源丰富、水质优良.本文从区域地质条件、水文地质条件以及矿泉水资源现状几个方面来选取评价因子,利用层次分析法构建评价指标体系,运用综合指数评价模型对湖南省饮用天然矿泉水资源潜力进行评价,最后根据评价结果划分了石门-慈利、张家界-永顺、绥宁等11个矿泉水资源高潜力区,石门-花垣等14个矿泉水资源较高潜力区,以及中等潜力区和低潜力区.此外基于资源潜力评价结果,结合市场潜力和开发利用经济技术条件两个方面,最后将全省区划为张家界-永顺矿泉水分布区、益阳-韶山-湘潭等4个矿泉水优先开发保护区,石门-慈利、隆回、绥宁等12个矿泉水重点开发保护区,以及远景开发保护区和限制开发保护区.     

川南沐川地区宣威组底部铌-稀土多金属富集层富集规律、沉积环境与成矿模式

云南、贵州地区对晚二叠世宣威组底部Nb-REE多金属富集层的研究取得了重要进展,但其成因还有较大争议.为厘清沐川地区宣威组底部Nb-REE多金属富集层成因机制及富集规律,本研究开展了野外实地调查、矿物学、岩相古地理与岩石地球化学等系统性研究,探讨其物源、富集规律,建立了成矿模式.结果 表明,川南沐川地区宣威组底部Nb-...     

利用地图API实现多时相遥感影像地图在线浏览

利用不同在线地图服务商卫星遥感影像数据的时间差异, 结合天地图API, 基于B/S开发模式, 实现了低成本的多时相卫星遥感影像地图在线浏览。     

陆态网络GNSS基准站阶跃偏移量的精确估计

通过对发生阶跃的GNSS基准站坐标序列谱指数的求解,表明了其具有有色噪声的特性,并对三分量分别建立了最优噪声模型,以此对GNSS基准站坐标的阶跃偏移量进行了精确估计,探明了地震和仪器更换对测站产生的精细影响。同时利用求解的阶跃偏移量对坐标序列进行修正,对获取连续性变化的测站坐标序列和获取精确的测站三维运动参数具有重要意义。     

场地划分标准对基岩地震动参数衰减关系的影响

基于美国NGA强震观测数据库中描述场地的不同指标,定义了五种不同的"基岩"场地类型,得到了相应的数据集;同时采用最小二乘法回归得到了世界范围内对应不同"基岩"定义的地震动参数衰减关系,并研究了不同场地划分标准造成的基岩地震动参数衰减关系的差异。     

Sensitivity of MM5 and WRF mesoscale model predictions of surface winds in a typhoon to planetary boundary layer parameterizations

Sea surface winds and coastal winds, which have a significant influence on the ocean environment, are very difficult to predict. Although most planetary boundary layer (PBL) parameterizations have demonstrated the capability to represent many meteorological phenomena, little attention has been paid to the precise prediction of winds at the lowest PBL level. In this study, the ability to simulate sea winds of two widely used mesoscale models, fifth-generation mesoscale model (MM5) and weather research and forecasting model (WRF), were compared. In addition, PBL sensitivity experiments were performed using Medium-Range Forecasts (MRF), Eta, Blackadar, Yonsei University (YSU), and Mellor–Yamada–Janjic (MYJ) during Typhoon Ewiniar in 2006 to investigate the optimal PBL parameterizations for predicting sea winds accurately. The horizontal distributions of winds were analyzed to discover the spatial features. The time-series analysis of wind speed from five sensitivity experimental cases was compared by correlation analysis with surface observations. For the verification of sea surface winds, QuikSCAT satellite 10-m daily mean wind data were used in root-mean-square error (RMSE) and bias error (BE) analysis. The MRF PBL using MM5 produced relatively smaller wind speeds, whereas YSU and MYJ using WRF produced relatively greater wind speeds. The hourly surface observations revealed increasingly strong winds after 0300 UTC, July 10, with most of the experiments reproducing observations reliably. YSU and MYJ using WRF showed the best agreements with observations. However, MRF using MM5 demonstrated underestimated winds. The conclusions from the correlation analysis and the RMSE and BE analysis were compatible with the above-mentioned results. However, some shortcomings were identified in the improvements of wind prediction. The data assimilation of topographical data and asynoptic observations along coast lines and satellite data in sparsely observed ocean areas should make it possible to improve the accuracy of sea surface wind predictions.     

Effect of protection against wind according to the variation porosity of wind fence

This study examines shelter effect against the wind by using wind fence with various porosities and distance. The shelter effect of wind fence was investigated by a wind tunnel test. Flow characteristics of velocities and turbulences behind wind fence were measured using a hot-wire anemometer. This was done by varying the porosity by 0, 20, and 40% of the wind fence. The wind fence distance ranged from 1H to 9H. In addition, the overall characterization of the wind fence was investigated by measuring a total of 28 points on the wind fence, which forms a lattice structure on it with 7 points in the lateral direction and 4 points in the vertical direction. The results indicate that the degree of the turbulence is lowered and the velocity of the wind is decreased when porosity of 40% is used at a distance of 4H–7H. The effectiveness of the wind fence depends on the porosity and distance. Porosity of 20% proved to be effective for the protection area of 1H–3H, while that of 40% was effective for the protection area of 4H–6H.