Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules

The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We present a novel cellular automata (GWR-CA) model that incorporates GWR-derived spatially varying relationships to simulate land use change. Our GWR-CA model is characterized by spatially nonstationary transition rules that fully address local interactions in land use change. More importantly, each driving factor in our GWR model contains effects that both promote and resist land use change. We applied GWR-CA to simulate rapid land use change in Suzhou City on the Yangtze River Delta from 2000 to 2015. The GWR coefficients were visualized to highlight their spatial patterns and local variation, which are closely associated with their effects on land use change. The transition rules indicate low land conversion potential in the city’s center and outer suburbs, but higher land conversion potential in the inner near suburbs along the belt expressway. Residual statistics show that GWR fits the input data better than logistic regression (LR). Compared with an LR-based CA model, GWR-CA improves overall accuracy by 4.1% and captures 5.5% more urban growth, suggesting that GWR-CA may be superior in modeling land use change. Our results demonstrate that the GWR-CA model is effective in capturing spatially varying land transition rules to produce more realistic results, and is suitable for simulating land use change and urban expansion in rapidly urbanizing regions.     

The past in dust: current trends and future directions in Pleistocene geoarcheology of European loess

Loess is a main archive of Pleistocene landscapes and environments and therefore has an important connection to the preservation and interpretation of Paleolithic sites. In Europe, anthropogenic sites have been found in loess because of past local occupation. At one extreme, sites are well preserved with minimal disturbance often accompanied by embedded proxies to estimate ecological parameters. On the other hand, loess deposits have undergone post-depositional alterations such as weathering, pedogenesis or bioturbation due to changing environmental conditions or other disturbances that obscure anthropogenic sites. We outline the current state of research and connections between Paleolithic archeology and loess research while introducing a series of subsequent regional case studies as part of a special issue. We also make recommendations for future work to incorporate a wider variety of methods to create more robust inferences on hominin and environmental evolution and their connections.     

危地马拉翡翠宝石矿物学特征及其与缅甸翡翠的对比研究

危地马拉目前已成为仅次于缅甸的第二大翡翠原料供应地。这两个产地翡翠辨别的需求愈发迫切,且应用意义较大。采用显微镜观察、电子探针分析及背散射电子照相获得危地马拉蓝水料翡翠的矿物成分及结构构造特征,结合两产地翡翠产出的大地构造环境、自然地理环境、原石特征与矿物成分特征等进行对比分析。总体上,危地马拉翡翠次生原石有一定的磨圆,呈次棱角状,“皮”(风化皮)厚度较薄,较少出现翻砂现象,由“皮”向里,极少甚至几乎不存在“红雾”。相对地,缅甸翡翠次生原石发育显著的球状风化,原石通常有较好的磨圆度,棱角状不明显,“皮”厚度可达数厘米,用手压磨有显著的翻砂现象, “皮”“肉”之间偶可见“红雾”。硬玉与绿辉石成分判别图显示危地马拉翡翠中硬玉和绿辉石呈相对富Ca、贫Na的特征,而缅甸翡翠中硬玉和绿辉石整体呈相对贫Ca、富Na的特征。在Fe含量上,危地马拉翡翠中硬玉的Fe含量较缅甸翡翠中硬玉的Fe含量偏低,而危地马拉翡翠中绿辉石的Fe含量较缅甸翡翠中绿辉石的Fe含量偏高。对翡翠外观特征的充分对比和对判别图的综合分析可应用于实际中翡翠产地的区分。     

Correction: Hydraulic tomography analysis of municipal-well operation data with geology-based groundwater models

Hydrogeology Journal - A Correction to this paper has been published: https://doi.org/10.1007/s10040-021-02351-x     

鲁西地区角闪石岩地球化学、矿物学特征及其地质意义

基性-超基性岩脉群通常形成于伸展构造背景,是示踪地幔源特征以及大陆和超大陆破裂的重要标志.鲁西地区角闪石岩为研究古元古代岩浆源和构造演化提供了一个窗口.本文对鲁西地区角闪石岩进行了岩相学、全岩地球化学及角闪石、黑云母电子探针原位分析.角闪石岩具板内构造环境,来自富集地幔.通过角闪石、黑云母成因分析,均具有幔源成因,角闪石结晶温度为702～781℃;结晶压力为29.8～228.8 MPa,结晶深度1～7.5 km,结晶时氧逸度变化范围在NNO+2.68到NNO+3.35之间.结合本次获得角闪石岩磷灰石U-Pb年龄为(1817±35)Ma,认为鲁西地区(1817±35)Ma处于板内拉伸环境,存在幔源岩浆上侵,已进入大陆裂解阶段.     

Homogeneity and mechanical behaviors of sands improved by a temperature-controlled one-phase MICP method

Acta Geotechnica - Microbially induced carbonate precipitation (MICP) has been actively investigated as a promising method to improve soil properties. A burning issue impeding its wide application...     

两次强降水过程雨滴谱特征及差异

利用寿县观测站内的Parsivel激光雨滴谱仪结合观测站雨量数据及雷达基数据,分析了发生在2015年6月26—30日梅雨期间和2015年8月7—10日超强台风"苏迪罗"影响期间2次强降水过程的雨滴谱结构特征及其差异,拟合了雨强与雷达反射率因子之间的关系。结果表明:雨强的大小直接影响雨滴谱的特征参量,且随着雨强增大而增大;梅雨锋暴雨中1.0mm直径≤1.5mm的粒子所占比例最多,雨强贡献率最大;台风雨中0.75mm直径≤1.0mm的粒子所占比例最多,但1.0mm直径≤1.25mm的粒子对雨强的贡献最大,说明较大粒子对强降水的贡献较大。     

1960—2017年沈阳地区春播期降水变化特征

基于1960—2017年沈阳市5个气象观测站4—5月降水量资料,采用线性趋势法和累积距平分析了沈阳市春播期(4—5月)降水量演变特征,并分析首场透雨及最大连续无有效降水日数演变特征及对春播期降水量影响,对春播期降水量资源变化特征进行相关分析。结果表明:近58a沈阳春播期降水量整体呈现弱的增加趋势,平均每10a增加3.1mm,2004年开始降水量迅速增加,且波动性较大,降水量异常偏多或偏少年份较多,易诱发春旱春涝事件。春播期首场透雨出现日期平均每10a偏晚0.051d,首场透雨日期偏晚,将导致春播期前期雨水条件不足,引起土壤干旱,不利于春播开展。最大连续无有效降水日数呈波动性增加趋势,平均每10a增加0.56d,对4月降水量影响较大,虽然春播期降水资源总量增加,但存在降水资源时间分配不均的问题,且长时间无有效降水事件频发,将导致春播期干旱灾害事件发生风险加大,导致适播期延后。     

华南农田下垫面地气交换和能量收支的观测研究

利用2004年11月至12月在广东省惠州地区进行的湍流连续观测资料,分析非均匀农田近地面层的基本气象要素特征以及水汽和CO2的浓度与通量输送规律,作为今后深入探讨地表非均匀性效应的基础.通过各辐射分量和感热、潜热与土壤热通量的特征分析,研究能量收支的基本状况,并讨论了造成显著能量"不平衡"的原因.观测的基本结果是:(1)近地面1.8 m高度处以北风为主,风速大多低于2 m/s,正午入射太阳辐射约700 W/m2;CO2浓度的日变化范围为600～900 mg/m3,水汽为5～25 g/m3.(2)各气象要素呈现明显的日变化,当地温度日较差约10℃,相对湿度始终高于50%.CO2和水汽的浓度在夜间较白天高,二者的日平均值为713.7 mg/m3和15.9 g/m3;利用涡旋相关法,测得二者的通量在白天高于夜间,日平均值为25.3 mg·m-2·s-1和-4.7×10-2mg·m-2·s.当地的日平均波文(Bowen)比仅为0.04,这主要是由于当地的高湿度造成的.(3)当地存在显著的能量"不平衡"现象,正午时的差额热通量可高达150 W/m2,这可能与平均垂直运动输送的作用、观测误差以及通量和辐射观测的"源地"不匹配等原因有关.研究结果与荒漠、城市和稻田下垫面的观测事实进行了定量比较.