淄博煤矿矿坑排水对地表水体的污染及对地下水水质影响的研究

以山东淄博煤田富硫煤（w（St＞2％）煤矿作为典型研究区,阐述了由于直接排放酸性、高SO4离子、高硬度和较高矿化度（TDS）的矿坑水导致的地表水体及地下水的污染。研究区内地表水体的水质主要受控于矿坑排水的质量,区内主要河流、水库已被污染。引用这种受污染的地表水进行灌溉,会引起浅层地下水的严重污染,并影响到饮用此类地下水的人们的身体健康。为揭示污水灌溉过程中水-岩相互作用及地下水污染的机理,进行了现场土柱模拟实验,分别模拟了污水灌溉和降水入渗过程。实验结果表明,污水灌溉过程中SO4-不会被吸附,也不会产生沉淀,因此,污水灌溉是污灌区地下水受污染的主要原因。降水入渗实验表明,污灌区土壤中的SO4-,Ca2+和Mg2+,也可以通过降水淋滤进入地下水,这是污灌区地下水受污染的另一条途径。就对水环境的影响而言,酸性煤矿矿坑排水的环境效应是负面的,应予以高度重视。     

Groundwater storage change detection from in situ and GRACE-based estimates in major river basins across India

ABSTRACT

India has been the subject of many recent groundwater studies due to the rapid depletion of groundwater in large parts of the country. However, few if any of these studies have examined groundwater storage conditions in all of India’s river basins individually. Herein we assess groundwater storage changes in all 22 of India’s major river basins using in situ data from 3420 observation locations for the period 2003–2014. One-month and 12-month standardized precipitation index measures (SPI-1 and SPI-12) indicate fluctuations in the long-term pattern. The Ganges and Brahmaputra basins experienced long-term decreasing trends in precipitation in both 1961–2014 and the study period, 2003–2014. Indeterminate or increasing precipitation trends occurred in other basins. Satellite-based and in situ groundwater storage time series exhibited similar patterns, with increases in most of the basins. However, diminishing groundwater storage (at rates of >0.4 km³/year) was revealed in the Ganges-Brahmaputra River Basin based on in situ observations, which is particularly important due to its agricultural productivity.     

Drought assessment in a south Mediterranean transboundary catchment

ABSTRACT

Predicting the impacts of climate change on water resources remains a challenging task and requires a good understanding of the dynamics of the forcing terms in the past. In this study, the variability of precipitation and drought patterns is studied over the Mediterranean catchment of the Medjerda in Tunisia based on an observed rainfall dataset collected at 41 raingauges during the period 1973–2012. The standardized precipitation index and the aridity index were used to characterize drought variability. Multivariate and geostatistical techniques were further employed to identify the spatial variability of annual rainfall. The results show that the Medjerda is marked by a significant spatio-temporal variability of drought, with varying extreme wet and dry events. Four regions with distinct rainfall regimes are identified by utilizing the K-means cluster analysis. A principal component analysis identifies the variables that are responsible for the relationships between precipitation and drought variability.     

洱源FD-105K与FD-125测氡仪对比观测分析

选取2015—2019年洱源水化站FD-105K与FD-125测氡仪对比观测资料,采用一阶差分、F检验、t检验等方法进行对比分析,结果显示:FD-125测氡仪测值总体偏低,且测量精度较低,数据离散程度较高;2套观测数据变化趋势一致性不理想,相关性较低,未通过F检验和t检验。综合分析认为,FD-125测氡仪暂时不能替代FD-105K测氡仪进行观测,需要增加震例对2套仪器的映震效能进行验证。     

地裂缝场地施工降水对地表沉降和地层应力的影响研究

地裂缝是西安市典型的城市地质灾害，地下水位的变化是诱发地裂缝活动的重要因素。以西安地铁六号线暗挖段施工降水为研究背景，基于有限元数值模拟计算，分析了地裂缝场地施工降水引起的地表沉降规律和地层应力变化特征。计算结果表明:当地下水位下降时，地表沉降量上盘大于下盘，地裂缝带两侧地表存在差异沉降的现象，最大差异沉降量与地下水位下降深度近似呈直线关系；不同位置处地表的横向沉降呈现出"Z"形的变化特征，差异沉降区随地裂缝位置的变动而变化，且差异沉降量与横向地表位置近似呈二次函数曲线关系；地层竖向应力随着地下水位下降而增大，地裂缝位置处地层应力存在突变现象，上下盘应力影响区与地层深度近似呈三次函数曲线关系；基于分层总和法计算了地下水位下降时地表沉降量的解析解，并与数值模拟结果进行对比，发现两种方法计算结果基本一致，得到了计算地表最大沉降量的经验公式。研究结果可为地裂缝场地地铁隧道及其他地下工程安全施工提供科学指导。      

酒泉、嘉峪关地域城镇系统的空间规模结构研究

受干旱区自然地理、人口发展与分布等特殊条件的制约,酒泉、嘉峪关地域城镇系统的空间规模结构呈现“中小市镇、多中心”的特征。针对这种状况,空间规模结构的研究和规划,应注重建构多中心的地域城镇系统,带动地域整体发展要促进相邻城市间、城市与境内或周边单位间的空间关联及与近郊集镇的融合,推动城乡一体化应突出酒泉-嘉峪关复合城市的中心地位,强化敦煌市的规模和职能,保证玉门市区持续发展并尽快发展玉门镇,积极发展其他小城镇。     

Multi-scale remote sensing to support insurance policies in agriculture: from mid-term to instantaneous deductions

ABSTRACT

Climate change is today one of the biggest issues for farmers. The increasing number of natural disasters and change of seasonal trends is making insurance companies more interested in new technologies that can somehow support them in quantifying and mapping risks. Remotely sensed data, with special focus on free ones, can certainly provide the most of information they need, making possible to better calibrate insurance fees in space and time. In this work, a prototype of service based on free remotely sensed data is proposed with the aim of supporting insurance companies’ strategies. The service is thought to calibrate annual insurance rates, longing for their reduction at such level that new customers could be attracted. The study moves from the entire Piemonte region (NW Italy), to specifically focus onto the Cuneo province (Southern Piemonte), which is mainly devoted to agriculture. MODIS MOD13Q1-v6 and Sentinel-2 L2A image time series were jointly used. NDVI maps from MODIS data were useful to describe the midterm phenological trends of main crops at regional level in the period 2000–2018; differently, Sentinel-2 data permitted to map local crop differences at field level in 2016 and 2017 years. With reference to MODIS data, the average phenological behavior of main crop classes in the area, obtained from the CORINE Land Cover map Level 3, was considered using a time series decomposition approach. Trend analyses showed that the most of the crop classes alternated three phases (about 7 years) suggesting that, presently, this is probably the time horizon to be considered to tune mid-term algorithms for risk estimates in the agricultural context. Crop classes trends were consequently split into three phases and each of them modeled by a first-order polynomial function used to update correspondent insurance risk rate. Sentinel-2 data were used to map phenological anomalies at field level for the 2016 and 2017 growing seasons; shifts from class average behavior were considered to locally and temporarily tune insurance premium around its average trend as described at the previous step. Synthesizing, one can say that this approach, integrating MODIS and Sentnel-2 data, makes possible to locally and temporarily calibrate premiums of indexed insurance policies by describing the average trends of crop performance (NDVI) at regional level by MODIS data and refining it at field and specific crop level by Sentinel-2 data.     

江淮梅雨与东亚副热带夏季风进程变异的关系

根据中国气象局《梅雨监测业务规定》中的入、出梅标准,结合1960—2016年全国661个常规气象站逐日气象资料,以及NCEP/NCAR月平均再分析资料,分析了江淮梅雨和东亚副热带夏季风进程变异的时空特征,提取季风关键区(32°~34°N,112°~120°E,包含17个站点),并分析了江淮梅雨和季风关键区的联系与成因。结果表明:1960—2016年平均梅雨期为6月8日—7月15日,平均梅雨量为303 mm。比东亚平均梅雨季的开始时间早9 d,比其结束时间晚7 d。梅雨量在近57 a中也呈波动式变化,但整体为上升趋势。入梅越早,出梅越晚,则梅雨期越长,梅雨量越多。副热带夏季风推进到关键区的平均时间为5月19日,其在1970s末和1990s末分别发生了由偏晚向偏早和由偏早向偏晚的突变。夏季风到达关键区偏早时,出梅日偏晚,梅雨量偏多,季风到达偏晚时,出梅日偏早,梅雨量偏少。副热带夏季风推进时间和江淮梅雨量呈全区一致的负相关,负相关区位于湖南、湖北及江西三省临近的两湖地区。东亚副热带夏季风到达关键区时间偏早(晚)年,500 hPa高度场上乌拉尔山—鄂霍茨克海为正(负)距平,阻塞高压增强(减弱);日本海附近为负(正)距平,东亚大槽加深(西退北缩),加强(削弱)了槽后冷空气向南输送且不(有)利于中低纬度副热带高压的北跳,西太平洋副热带高压中心强度增强(减弱),位置偏西(东),其西北侧的西南暖湿气流输送加强(减弱),江淮地区有水汽的辐合(辐散),有(不)利于梅雨量偏多。     

1967—2016年黄河上游河曲地区降水变化特征研究

利用1967~2016年黄河上游河曲地区的5个气象站观测气象站的逐日地面降水和气温资料,利用气候变化趋势分析、距平、Mann-kendall 时间序列突变及趋势检验方法分析了该地区气温变化特征、不同类型各等级降水量及降水日数的气候特征。结果表明：(1)近50年黄河上游河曲地区年均气温以0.459℃/10a趋势显著上升,上升速度低于全国其它地区,且在2002年气温发生突变后升温加剧；(2)年降水量和降水日数呈减少趋势,主要是由夏季小雨量和小雨日数的减少引起；(3)在2002年气温突增后,强降水对总降水量贡献率增加,且年降水量和降水日数波动幅度也明显增大,这可能预示该地区洪涝灾害的风险在增加。降水日数的贡献率增加,增加明显的是中雨日数和小雨日数,分别增加了1.1%和1.7%。     

基于地基微波辐射计资料对成都双流机场两次雷雨过程的分析

利用地基微波辐射计资料,比较了2017年7月成都双流机场的两次雷雨过程,根据天气形势分为"两高切变"和"东高西低"2类,在此基础上分析微波辐射计要素变化特征,结果表明:在垂直方向0～10 km,以相对湿度达到80%来区分干区和湿区,则两次过程前3 h,相对湿度在垂直方向均呈现"上下干、中间湿"三层结构,并早于近地层前2 h达到饱和状态;过程期间相对湿度呈现"上干、下湿"两层结构;过程结束后湿层抬高,低层变干。两次过程水汽含量充沛,保持在70 kg/m~2以上,峰值超过85 kg/m~2。每一次中阵雨发生后水汽含量都会短暂回落,但仍高于过程前的数值,不足2 h后再次发生中阵雨。由0℃线高度变化可知,降水过程中,暖区(温度≥0℃)内相对湿度≥90%;云中液态水含量主要分布于6 km以下,温度在0℃以上的液态水占比很高,故两次过程以暖云降水为主。雷雨前1 h左右有"低层气温上升,0℃层抬升,K指数、CAPE指数也明显增大"的典型特征。降水发生在相对湿度、水汽总含量、云中液态水含量和稳定度指数快速增长的波峰中。