新时期新疆水库大坝建设的主要问题与对策建议

截止 2018 年,全疆（含兵团）已建、在建及拟建水库 722 座（包括电站水库）,总库容 295.0 × 10⁸ m³。有力地改善了水资源调控和利用效率,在灌溉、供水、防洪、发电、旅游等方面发挥了极其 重要的作用。新时期按照水利部“水利工程补短板、水利行业强监管”的工作总基调,针对南北疆 水资源配置不平衡问题、水资源利用不充分问题,谋划提出了兴建数十座大中型山区水库,以及提 升已建水库大坝信息化管理水平、加强水库调度运行管理,在满足生态需水的前提下统筹生活、生 产供水,最大程度发挥水库效益、确保水库安全运行。针对新时期气候变化条件下水库洪水风险 分析、大坝建设需要重点关注的几项关键技术、山区水库替代平原水库、河流健康与生态调度、水库 清淤与能力提升、水库信息化与智能调度以及延长服役期等问题进行了探讨,提出若干对策建议。     

海洋自然资本评估中生物能值转换率的研究

自然资本评估是研究生态系统服务与社会经济发展的重要方式。由于海洋具有特殊性和复杂性、开放性、流动性和多层次耦合性等特点,海洋自然资本评估方法的研究进展缓慢。能值分析理论通过能值转换率将生态系统内流动和储存的各种不同类别的能量和物质转换为同一标准的能值,可衡量和比较不同等级的能量价值,系统完整地反映自然资本价值,这一特点是其他评估方法所缺乏的。为精确量化海洋生物资本价值,本研究引入海洋食物网信息能流图和生态系统能量传递规律,提出了生物能值转换率的经验公式,即Tn=T1·E^1-nL(T1为初级生产者的太阳能值转换率,n为营养级,EL为林德曼效率)。为验证经验公式的可行性,选用相关案例进行了研究,得到海洋食物网中不同食性生物所处营养级及其相应的能值转换率。经验公式有一定误差,具体应用时应通过调研文献和相关数据,确定关键参数的取值范围以提高准确性。本研究得出的经验公式简化了海洋生物能值转换率的计算方法,促进了能值分析理论在海洋自然资本评估中的进一步应用。     

Terrestrial heat flow and lithospheric thermal structure in the Chagan Depression of the Yingen-Ejinaqi Basin,north central China

The Chagan Depression in the Yingen-Ejinaqi Basin, located at the intersection of the Paleo-Asian Ocean and the Tethys Ocean domains is an important region to gain insights on terrestrial heat flow, lithospheric thermal structure and deep geodynamic processes. Here, we compute terrestrial heat flow values in the Chagan Depression using a large set of system steady-state temperature data from four representative wells and rock thermal conductivity. We also estimate the “thermal” lithospheric thickness, mantle heat flow, ratio of mantle heat flow to surface heat flow and Moho temperature to evaluate the regional tectonic framework and deep dynamics. The results show that the heat flow in the Chagan Depression ranges from 66.5 to 69.8 mW/m², with an average value of 68.3 ± 1.2 mW/m². The Chagan Depression is characterized by a thin “thermal” lithosphere, high mantle heat flow, and high Moho temperature, corresponding to the lithospheric thermal structure of “cold mantle and hot crust” type. We correlate the formation of the Yingen-Ejinaqi Basin to the Early Cretaceous and Cenozoic subduction of the western Pacific Plate and the Cenozoic multiple extrusions. Our results provide new insights into the thermal structure and dynamics of the lithospheric evolution in central China.     

青藏高原农区农户的家庭能源消费研究

农村能源转型是能源消费革命的重要组成部分。基于问卷调查和入户访谈,对青海省10个县（区）的318户农区家庭用能信息进行调查,辨识了青海省农区不同收入分层家庭的能源消费模式,并通过建立典型家庭能源流模型,总结了家庭能获取-消费-废弃过程的形态变化。结果显示：青海省农区家庭能源消费以煤炭、薪柴和秸秆为主,非商品能源消费占比为49.6%,清洁能源使用率低。煤炭消费在5类家庭中均占比最高,薪柴和秸秆消费在低收入家庭占比较高。高收入家庭能源消费类型更多,消费量也大,能源流动更复杂。最后,根据青海省的经济地理特征,提出相应政策建议。     

长江三角洲全新世沉积物光释光测年研究

长江三角洲是研究古海岸沉积环境演化的理想区域。选取长江三角洲平原一支长岩芯钻孔上部55 m层位的沉积物进行光释光(optically stimulated luminescence,OSL)测年研究。根据沉积物粒度特性,在实验前处理过程中,提取100~200 μm或63~100 μm粗颗粒石英矿物进行OSL测年。测年样品的预热坪与剂量恢复实验表明选择180℃作为预热条件较为合适,石英OSL信号衰退曲线以快组分为主。条件实验结果、等效剂量分布以及各测片的循环比、热转移等方法学层面的实验结果表明,OSL测年技术对该孔的沉积物测年具有适应性和可靠性。通过年代—深度关系模型,建立该段地层中全新世以来的年龄框架。依据该孔的年代地层序列并结合前人工作,探讨全新世以来长江三角洲的沉积演化。     

哈达贺休盐湖卤水氢氧同位素特征及成因分析

内蒙古哈达贺休盐湖蕴藏着较为丰富的地下卤水资源,但人们对其成因和演化机制尚缺乏充分的认识。本文采用稳定同位素方法,研究了哈达贺休盐湖地下卤水及其周边水体的氢氧同位素组成特征,并对卤水的成因进行了分析。结果表明：哈达贺休盐湖地下卤水的?D和?18O值平均值分别为-0.53 ‰和4.01 ‰,黑河河水的?D和?18O值平均值分别为-36.73 ‰和-5.51 ‰,居延海湖水的?D和?18O值平均值分别为1.26 ‰和2.73 ‰,当地大气降水的?D和?18O值平均值分别为-5.30 ‰和-1.20 ‰。研究区水体的蒸发趋势线方程为δD=5.32δ18O-20.08,该蒸发线偏离全球大气降水线。黑河河水的氘盈余值（d）最大,湖水和地下卤水的最小,而且湖水和卤水的d值与TDS呈负相关关系。偏正的?D和?18O值以及较小的d值,表明研究区卤水经历了强烈的蒸发,同时还存在与含氧类矿物的同位素交换反应。卤水和居延海湖水氢氧同位素值分布比较集中并且接近,二者都由黑河河水演化而来。     

Population,urbanization and economic scenarios over the Belt and Road region under the Shared Socioeconomic Pathways

The countries throughout the Belt and Road region account for more than 60% of the world's population and half of the global economy. Future changes in this area will have significant influences on the global economic growth, industrial structure and resource allocation. In this study, the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development, respectively. The population, urbanization and economic levels of the Belt and Road countries for 2020–2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs), and the following conclusions are drawn.(1) The population, urbanization and economic levels in the Belt and Road region will likely increase under all five pathways. The population will increase by 2%–8%/10 a during 2020–2050 and reach 5.0–6.0 billion in 2050. Meanwhile, the urbanization rate will increase by 1.4%–7.5%/10 a and reach 49%–75%. The GDP will increase by 17%–34%/10 a and reach 134–243 trillion USD.(2) Large differences will appear under different scenarios. The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels, but the population size is comparatively smaller; SSP3 shows the opposite trend. Meanwhile, the economy develops slowly under SSP4, but it has a relatively high urbanization level, while SSP2 exhibits an intermediate trend.(3) In 2050, the population will increase relative to 2016 in most countries, and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double. Urbanization will develop rapidly in South Asia, West Asia and Central Asia, and will increase by more than 150% in the fastest growing countries. The economy will grow fastest in South Asia, Southeast Asia and West Asia, and increase by more than 10 times in some counties with rapid economic development.     

Effect of farmland expansion on drought over the past century in Songnen Plain,Northeast China

The effects of human activities on climate change are a significant area of research in the field of global environmental change. Land use and land cover change(LUCC) has a greater effect on climate than greenhouse gases, and the effect of farmland expansion on regional drought is particularly important. From the 1910 s to the 2010 s, cultivated land in Songnen Plain increased by 2.67 times, the area of cultivated land increased from 4.92×10~4 km~2 to 13.14×10~4 km~2, and its percentage of all land increased from 25% to 70%. This provides an opportunity to study the effects of the conversion of natural grassland to farmland on climate. In this study, the drought indices in Songnen Plain were evaluated from the 1910 s to the 2010 s, and the effect of farmland expansion on drought was investigated using statistical methods and the Weather Research and Forecasting Model based on UK's Climatic Research Unit data. The resulting dryness index, Palmer drought severity index, and standardized precipitation index values indicated a significant drying trend in the study area from 1981 to 2010. This trend can be attributed to increases in maximum temperature and diurnal temperature range, which increased the degree of drought. Based on statistical analysis and simulation, the maximum temperature, diurnal temperature range, and sensible heat flux increased during the growing season in Songnen Plain over the past 100 years, while the minimum temperature and latent heat flux decreased. The findings indicate that farmland expansion caused a drying trend in Songnen Plain during the study period.     

A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data

ABSTRACT

Earth observations and model simulations are generating big multidimensional array-based raster data. However, it is difficult to efficiently query these big raster data due to the inconsistency among the geospatial raster data model, distributed physical data storage model, and the data pipeline in distributed computing frameworks. To efficiently process big geospatial data, this paper proposes a three-layer hierarchical indexing strategy to optimize Apache Spark with Hadoop Distributed File System (HDFS) from the following aspects: (1) improve I/O efficiency by adopting the chunking data structure; (2) keep the workload balance and high data locality by building the global index (k-d tree); (3) enable Spark and HDFS to natively support geospatial raster data formats (e.g., HDF4, NetCDF4, GeoTiff) by building the local index (hash table); (4) index the in-memory data to further improve geospatial data queries; (5) develop a data repartition strategy to tune the query parallelism while keeping high data locality. The above strategies are implemented by developing the customized RDDs, and evaluated by comparing the performance with that of Spark SQL and SciSpark. The proposed indexing strategy can be applied to other distributed frameworks or cloud-based computing systems to natively support big geospatial data query with high efficiency.