GRASS数据结构分析     

夏伟玲 《测绘信息与工程》1996,(3)

详细分析了ＧＲＡＳＳ的三种数据结构，为设计ＧＲＡＳＳ与其它系统数据格式转换接口提供了基础。  相似文献   

用地层倾角测井资料解释复杂构造的方法   总被引：1，自引：0，他引：1  

简晓明  王冠贵 《现代地质》1996,10(2):286-292

倾角测井矢量图可以标示出井眼范围内各深度点的地层产状，一定的地层构造形态在矢量图上有一定的倾角矢量组合模式。通过正演计算，总结出了１９种褶曲和断层等构造组合模式的样板及在一口井内各构造模式间的“串”、“缺”、“嵌”连接规律。对照组合模式样板进行矢量组合模式识别，采用“倾角矢量逐点叠加法”，可把井眼范围纵向排列的倾角矢量转换成任意方位的地层视产状，绘制构造剖面图。用多个剖面的地层空间坐标数据可绘制倾角构造平面图，确定钻遇构造的形态。据此原理，编制了一套倾角测井构造解释软件系统。  相似文献   

The effect of low-velocity sediments on the mislocation vectors of the GRF array   总被引：1，自引：0，他引：1  

F. Krüger  M. Weber 《Geophysical Journal International》1992,108(1):387-393

  相似文献   

矢量数据的一种分层动态组织方法     

邓朝晖  贾华 《武汉大学学报(信息科学版)》1995,(2)

提出矢量数据分层组织的一种动态结构，在该结构中，单点、单字符或符号作为基元，以属性串组织基元，并分层叠置。采用区别于链式结构的动态通用串结构及Ｃ语言予以实现。  相似文献   

江淮流域一次特大暴雨的数值模拟及动力分析     

沈桐立  马林  温市耕 《南京气象学院学报》1995,(4)

以周晓平研制的有限区域细网格数值模式为基础，编制成一个套网格模式，并对１９９１年７月２～３日发生在江淮流域的特大暴雨过程，进行了数值模拟和动力分析。结果表明：低空急流加强，输送了大量暖湿空气并激发强烈的上升运动是造成该区暴雨的主要原因；在该过程中，热成风平衡遭到破坏，其非热成风平衡部分伴随相应的二级环流，也有利于垂直运动的产生。  相似文献   

吉林省一次强对流天气的中尺度分析   总被引：3，自引：0，他引：3       下载免费PDF全文

高锋  田雨斌  周宪明  杨志东 《气象》1995,21(10):43-46

作者对１９９３年８月１２日发生在吉林省境内的一次龙卷风天气进行了分析。结果表明：在出现龙卷风之前和形成初期，地面风场，高空环流形势，Ｑ↑→矢量散度，对流稳定度和能量场诸方面都有表现，可提供预报信息。  相似文献   

地下水资源系统多目标管理模型与模糊带权二次规划方法   总被引：2，自引：0，他引：2  

谢新民 《水文地质工程地质》1993,20(4):17-21,43

本文以济南地下水资源系统保泉供水管理课题为例,分析研究地下水资源系统多目标管理问题。首先建立起地下水资源系统多目标管理模型;然后利用模糊数学理论和权重概念,提出一种求解多目标决策问题的模糊带权二次规划方法,此方法可以同时解决互为竞争、互为矛盾的各目标之间的不可公度性和主次性问题。实际计算表明,所建立的模型和提出的方法具有较强的实用性和通用性。  相似文献   

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method     

Viet-Ha Nhu  Khabat Khosravi  James R. Cooper  Mahshid Karimi  Ozgur Kisi  Binh Thai Pham 《水文科学杂志》2020,65(12):2116-2127

ABSTRACT

The predictive capability of a new artificial intelligence method, random subspace (RS), for the prediction of suspended sediment load in rivers was compared with commonly used methods: random forest (RF) and two support vector machine (SVM) models using a radial basis function kernel (SVM-RBF) and a normalized polynomial kernel (SVM-NPK). Using river discharge, rainfall and river stage data from the Haraz River, Iran, the results revealed: (a) the RS model provided a superior predictive accuracy (NSE = 0.83) to SVM-RBF (NSE = 0.80), SVM-NPK (NSE = 0.78) and RF (NSE = 0.68), corresponding to very good, good, satisfactory and unsatisfactory accuracies in load prediction; (b) the RBF kernel outperformed the NPK kernel; (c) the predictive capability was most sensitive to gamma and epsilon in SVM models, maximum depth of a tree and the number of features in RF models, classifier type, number of trees and subspace size in RS models; and (d) suspended sediment loads were most closely correlated with river discharge (PCC = 0.76). Overall, the results show that RS models have great potential in data poor watersheds, such as that studied here, to produce strong predictions of suspended load based on monthly records of river discharge, rainfall depth and river stage alone.  相似文献   

A minimalistic approach for evapotranspiration estimation using the Prophet model     

A. T. M. Sakiur Rahman  Takahiro Hosono  Ozgur Kisi  Boateng Dennis  A. H. M. Rahmatullah Imon 《水文科学杂志》2020,65(12):1994-2006

ABSTRACT

This study aimed to evaluate the potential of the recently introduced Prophet model for estimating reference evapotranspiration (ETo). A comparative study was conducted for benchmarking the model results with support vector regression (SVR) and temperature-based empirical models (Thornthwaite and Hargreaves) in southern Japan. The performance of the Prophet, SVR and temperature-based empirical models was evaluated by Nash–Sutcliffe efficiency (NSE) and coefficient of determination (R²). The results indicate that temperature-based Prophet and SVR models have greater accuracy than the empirical models. The Prophet model with sole input of relative humidity, sunshine hours or windspeed showed acceptable accuracy (NSE > 0.80; R² > 0.80), while SVR models with similar inputs showed greater errors. Accuracy improved with increasing number of input parameters, giving excellent performance (NSE > 0.95; R² > 0.95) with all input parameters. Hence, the Prophet model is a new promising approach for modelling ETo with limited input variables.  相似文献   

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique     

Dongjin Cho  Cheolhee Yoo  Yeonsu Lee  Jaese Lee 《地理信息系统科学与遥感》2020,57(5):633-649

ABSTRACT

The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random forest (RF) optimized by the SVR is proposed to interpolate the daily maximum air temperature (T_max) during summertime in a mega urban area. A total of 10 geographic variables, including the clear-sky averaged land surface temperature and the normalized difference vegetation index, were used as input variables. The stacking model was compared to Cokriging, three individual data-driven methods, and a simple average ensemble model, all through leave-one-station-out cross validation. The stacking model showed the best performance by improving the generalizability of the individual models and mitigating the sensitivity to the extreme daily T_max. This study demonstrates that the stacking ensemble method can improve the accuracy of spatial interpolation of environmental variables in various research fields.  相似文献