气候变暖背景下极端气候对青海祁连山水文水资源的影响

利用青海祁连山区极端气候要素和青海湖、哈拉湖及主要河流的水文资料,研究表明：冷夜日数（10%）呈显著减少趋势,暖夜日数（90%）呈显著增加趋势;年大风日数显著减少;年降水量21世纪初增加趋势最为显著并发生突变,降水量增加幅度中西段大于东段;≥ 5 mm、≥ 10 mm、≥ 25 mm年降水日数呈显著增加趋势,进入21世纪后更为明显,而≥ 0.1 mm年降水日数呈减少趋势;年平均大风日数与湖泊水位、河流流量变化呈负相关,大风天气的减少,可以缓解湖面和土壤因蒸发而导致的水分损失,对植被的改善可增加径流的产生,流入湖泊的流量增加;降水量与湖泊水位、河流流量呈正相关,受21世纪降水量增加的影响青海湖水位逐年上升,共上升1.67 m,达到20世纪70年代末的水位,中西部主要河流流量近几年也达到最大值,而东段流量增加不明显;祁连山区≥ 5 mm、≥ 10 mm、≥ 25 mm年平均降水量与湖泊、河流流量变化呈正相关,各量级年降水量对湖泊水位、河流流量的增加贡献显著。     

3D打印技术在岩石物理力学试验中的应用

3D打印技术在岩土工程领域的应用还处于初步探索阶段,但其可重复制造含复杂内部结构的试样是常规室内试验无法实现的。现阶段制约3D打印技术在岩石物理力学试验中应用的主要因素在于3D打印试样强度偏低,延性较强。初步探讨了3D打印后干燥时间、打印胶水浓度对试样强度的影响,在此基础上提出了最优化打印方案,使打印试样在强度和脆性方面均有很大提升;通过改变打印方向模拟了天然层状节理岩石的各向异性特征。研究结果表明,随着打印倾斜角度的增加,3D打印试样的单轴抗压强度先减小后增大,呈"U"型变化趋势,抗拉强度也随打印方向的改变出现明显的各向异性特征,这与天然层状节理岩石相关研究成果相似。研究成果可为3D打印技术在岩土工程领域的推广和室内试验研究提供参考。     

From a river valley to a ria: Evolution of an incised valley (Ría de Ferrol,north‐west Spain) since the Last Glacial Maximum

The evolution of incised valleys is an important area of research due to the invaluable data it provides on sea‐level variations and depositional environments. In this article the sedimentary evolution of the Ría de Ferrol (north‐west Spain) from the Last Glacial Maximum to the present is reconstructed using a multidisciplinary approach, combining seismic and sedimentary facies, and supported by radiocarbon data and geochemical proxies to distinguish the elements of sedimentary architecture within the ria infill. The main objectives are: (i) to analyse the ria environment as a type of incised valley to evaluate the response of the system to the different drivers; (ii) to investigate the major controlling factors; and (iii) to explore the differentiation between rias and estuaries. As a consequence of the sea‐level rise subsequent to the Last Glacial Maximum (ca 20 kyr bp ), an extensive basin, drained by a braided palaeoriver, evolved into a tide‐dominated estuary and finally into a ria environment. Late Pleistocene and Holocene high‐frequency sea‐level variations were major factors that modulated the type of depositional environments and their evolution. Another major modulating factor was the antecedent morphology of the ria, with a rock‐incised narrow channel in the middle of the basin (the Ferrol Strait), which influenced the evolution of the ria as it became flooded during Holocene transgression. The strait acted as a rock‐bounded ‘tidal inlet’ enhancing the tidal erosion and deposition at both ends, i.e. with an ebb‐tidal delta in the outer sector and tidal sandbanks in the inner sector. The final step in the evolution of the incised valley into the modern‐defined ria system was driven by the last relative sea‐level rise (after 4 kyr bp ) when the river mouths retreated landward and a single palaeoriver was converted into minor rivers and streams with scattered mouths in an extensive coastal area.     

Temporal-spatial Distribution of Suitable Areas for Major Food Crops in China Over 60 Years

Simulating the temporal-spatial distribution of areas suitable for crops is an important part of analyzing the effects of climate change on crop growth, reducing the vulnerability of crop growth, and assessing the adaptability of crop growth to climate change. This study selected climate factors that affect the growth of wheat, maize and rice, and it combined surface soil and ground elevation factors as environment variables, as well as data from agricultural observation stations as species variables. The MaxEnt ecological model was used to identify suitable areas for these three crops during the period of 1953-2012. The areas suitable for the three crops were analyzed to determine the temporal-spatial distribution of major food crops and to estimate the difference in crop growth adaptability under climate change. The results showed the following: \mathrm{①} The response to climate change of the areas suitable for food crops could be ranked from strongest to weakest as follows: wheat, rice, and maize. \mathrm{②} On the same space-time scale, for the growth of wheat and rice, the southern agricultural regions, mountainous areas and plateaus were relatively unsuitable for a wider variety of crops than the northern agricultural regions, plains and basins. \mathrm{③} The adaptability of wheat increased in the major agricultural regions slightly. The adaptability of maize increased in the northern agricultural regions and decreased in the southern agricultural regions, respectively. The adaptability of rice was stable in the southern agricultural regions, and it decreased in the Huang-Huai-Hai region and increased in the northeastern region. \mathrm{④} Over 60 years, the ability of the major food crops to adapt to climate change increased in the northeast region, Gansu-Xinjiang region, Southwest region and Loess Plateau region, but the adaptability of major food crops decreased in the Huang-Huai-Hai region and the Mid-and-Lower Reaches of the Yangtze River. \mathrm{⑤} The suitable areas of maize and rice were significantly correlated with planting areas and yields, respectively, which provided feasibility for simulating the distribution of suitable areas on maize and rice in different climate scenarios in the future. The suitable area of wheat is not significantly related to the planting area and yield. In the future, we will take more factors to model the suitable area of wheat accurately.     

地下水水位管理研究进展综述

地下水位变化是地下水资源量多寡最直接的表现形式,是地下水管理最重要的控制性指标。对地下水水位进行管理,可实现对地下水资源的量化管理。通过对地下水位与生态及地质环境的关系、地下水位阈值、地下水管理水位划定等几个方面进行综述,力图从相对全面的角度认识当前地下水水位管理的发展。在回顾地下水水位管理以上研究进展的基础上,对我国地下水水位管理面临的问题、地下水管理策略、复合型地区地下水水位管理等发展趋势进行了探讨,为相关研究人员提供一定的参考。     

时间域航空电磁系统探测深度研究

时间域航空电磁系统探测深度与采样时间、发射磁矩、大地电导率、仪器背景噪声和灵敏度等诸多因素相关。本文基于时间域航空电磁一维正演对时间域航空电磁系统探测深度进行研究。正演算法从麦克斯韦方程出发,结合准静态近似条件,得到一维层状介质上空中心回线频率域电磁场响应的垂直分量,并采用汉克尔积分进行计算,进而通过时-频变换获得时间域电磁场响应。探测深度研究参考仪器背景噪声水平,通过设定最小可识别信号阈值（本文设定为系统背景噪声三倍）获取最大可探测分离时间,进而利用该分离时间结合平均电导率求取最大探测深度。最后本文以VTEM系统为例,对不同层状介质模型以及不同发射磁矩、背景噪声、发射脉宽和飞行高度下的时间域航空电磁系统最大探测深度进行分析和讨论。     

怀4井数字化水位观测资料初步分析

介绍了怀4井的地质构造情况和怀4井数字化水位观测资料的特征。分析了该井水位观测资料潮汐效应,同时指出了影响该井水位观测质量的干扰因素,加深了对怀4井水位资料的认识,有助于今后分析预报水平的提高。     

Quantifying suitable dynamic water levels in marsh wetlands based on hydrodynamic modelling

The water level of marsh wetlands is a dominant force controlling the wetland ecosystem function, especially for aquatic habitat. For different species, water level requirements vary in time and space, and therefore ensuring suitable water levels in different periods is crucial for the maintenance of biodiversity in marsh wetlands. Based on hydrodynamic modelling and habitat suitability assessment, we determined suitable dynamic water levels considering aquatic habitat service at different periods in marsh wetlands. The two-dimensional hydrodynamic model was used to simulate the temporal and spatial variation of water level. The habitat suitability for target species at various water levels was evaluated to obtain the fitting curves between Weighted Usable Area (WUA) and water levels. And then suitable water levels throughout the year were proposed according to the fitting curves. Using the Zhalong Wetland (located in northeastern China) as a case study, we confirmed that the proposed MIKE 21 model can successfully be used to simulate the water level process in the wetland. Suitable water levels were identified as being from 143.9–144.2 m for April to May, 144.1–144.3 m for June to September, and 144.3–144.4 m for October to November (before the freezing season). Furthermore, proposed water diversion schemes have been identified which can effectively sustain the proposed dynamic water levels. This study is expected to provide appropriate guidance for the determination of environmental flows and water management strategies in marsh wetlands.     

Acceleration of vegetation dynamics in hydrologically connected wetlands caused by dam operation

The dynamic responses of wetlands to upstream water conservancy projects are becoming increasingly crucial for watershed management. Poyang Lake is a dynamic wetland system of critical ecological importance and connected with the Yangtze river. However, in the context of disturbed water regime in Poyang Lake resulting from human activities and climate change, the responses of vegetation dynamics to the Three Gorges Dam (TGD) have not been investigated. We addressed this knowledge gap by using daily water level data and Landsat images from 1987 to 2018. Landsat images were acquired between October and December to ensure similar phenological conditions. Object-oriented Artificial Neural Network Regression for wetland classification was developed based on abundant training and validation samples. Interactions between vegetation coverage and water regimes pre and post the operation of the TGD were compared using classification and regression trees and the random forest model. Since the implementation of the TGD in 2003, Poyang Lake has become drier, especially during the dry season. A more rapid plant growth rate was observed post TGD (44.74 km² year⁻¹) compared to that of the entire study period (12.9 km² year⁻¹). Average water level for the antecedent 20 days most significantly affected vegetation before 2003, whereas average water level for the antecedent 5 or 10 days was more important after 2003. The impoundment of the TGD after the flood season accelerated the drawdown processes of Poyang Lake, and the rapidly exposed wetlands accelerated vegetation expansion during the dry seasons, resulting in shrinkage and degradation of the lake area. This study deepens our knowledge of the influences of newly developed dams on lakes and rivers.