Identification of physical processes inherent in artificial neural network rainfall runoff models

The emergence of artificial neural network (ANN) technology has provided many promising results in the field of hydrology and water resources simulation. However, one of the major criticisms of ANN hydrologic models is that they do not consider/explain the underlying physical processes in a watershed, resulting in them being labelled as black‐box models. This paper discusses a research study conducted in order to examine whether or not the physical processes in a watershed are inherent in a trained ANN rainfall‐runoff model. The investigation is based on analysing definite statistical measures of strength of relationship between the disintegrated hidden neuron responses of an ANN model and its input variables, as well as various deterministic components of a conceptual rainfall‐runoff model. The approach is illustrated by presenting a case study for the Kentucky River watershed. The results suggest that the distributed structure of the ANN is able to capture certain physical behaviour of the rainfall‐runoff process. The results demonstrate that the hidden neurons in the ANN rainfall‐runoff model approximate various components of the hydrologic system, such as infiltration, base flow, and delayed and quick surface flow, etc., and represent the rising limb and different portions of the falling limb of a flow hydrograph. Copyright © 2004 John Wiley & Sons, Ltd.     

Transient phenomena in the energetic behind-the-limb solar flare of september 29, 1989

The powerful cosmic ray flare of Sept. 29, 1989 occurred behind the limb and was observed over a wide spectral range. The analysis of optical, radio, and other relevant data suggest two phases of energy release. After an impulsive phase a prolonged post eruption energy release occurred in an extended region of the corona following the eruption of a large coronal mass ejection (CME). This phase is responsible for numerous coronal and interplanetary phenomena including the ground-level increase of cosmic rays.     

Response of active tectonics on the alluvial Baghmati River, Himalayan foreland basin, eastern India

Active tectonics in a basin plays an important role in controlling a fluvial system through the change in channel slope. The Baghmati, an anabranching, foothills-fed river system, draining the plains of north Bihar in eastern India has responded to ongoing tectonic deformation in the basin. The relatively flat alluvial plains are traversed by several active subsurface faults, which divide the area in four tectonic blocks. Each tectonic block is characterized by association of fluvial anomalies viz. compressed meanders, knick point in longitudinal profiles, channel incision, anomalous sinuosity variations, sudden change in river flow direction, river flow against the local gradient and distribution of overbank flooding, lakes, and waterlogged area. Such fluvial anomalies have been identified on the repetitive satellite images and maps and interpreted through DEM and field observations to understand the nature of vertical movements in the area. The sub-surface faults in the Baghmati plains cut across the river channel and also run parallel which have allowed us to observe the effects of longitudinal and lateral tilting manifested in avulsions and morphological changes.     

无人机三维倾斜摄影测量助力自然资源调查——以不动产调查为例

随着第一次地理国情普查与监测、第三次全国土地调查等重大自然资源调查类项目的实施,以无人机作为搭载平台的遥感影像获取手段在不断发展并深入应用,特别是无人机航测技术和地理信息技术的结合应用越来越紧密.本文以不动产调查为例,重点论述结合无人机三维倾斜摄影测量技术在内的测绘地理信息新手段的作业原理及应用情况,并对其优缺点进行总...     

思维导图方法的教学实践

思维导图在国内外已有多项研究证明思维导图在促进学生创新思维发展上有作用。在测绘类学科的高校教学中引入思维导图这种学习和工作方法,用在测绘本科教学改革中的讲座责任制授课模式上,通过在测绘本科教学方法改革的需求分析、应用实践和学生调查统计,得出结论:思维导图用于测绘类高校教学中,有利于提高学生创新思辨和自主学习能力,有助于达到以"能力"为核心的测绘专业人才培养目标。     

Biotic response to the latest Cenomanian drowning and OAE2: A case study from the Eastern Desert of Egypt

The changes in macrofauna and microfauna, before, during and after the latest Cenomanian global Oceanic Anoxic Event (OAE2), from the Eastern Desert of Egypt are documented, along with an inferred paleoenvironment. The age of the studied OAE2 interval is constrained by the last occurrence of the marker calcareous nannofossils species Axopodorhabdus albianus along with the previously identified positive δ¹³C excursion from the coeval ammonite Vascoceras cauvini Zone (= Neocardioceras juddii Zone), enabling correlation with the peak ‘b’ of the OAE2. Based on the studied microfaunal assemblages, a warm shallow restricted lagoonal environment with mesotrophic conditions and strong seasonality is inferred. The presence of a rare ammonite (and ostracods) attest to the intermittent introduction of marine waters within this inner ramp setting. In terms of sequence stratigraphy, two 3rd order depositional sequences are recorded. The top surface of the first depositional sequence, at the sequence boundary, SB Ce 5 (the start of the OAE2), is marked by an abrupt faunal change with reduced abundances of the macrofaunal elements. This is in tune with other Egyptian records of relatively smaller loss (10 %) at the Cenomanian-Turonian boundary, as compared to much higher numbers (53–79% of species), globally. This faunal (biotic bottleneck) and lithological change (from siliciclastic-dominated deposits to a largely carbonate-dominated one) at the SB Ce 5 is attributed as a response to the latest Cenomanian drowning (the highest sea-level during the Phanerozoic), that also resulted in the formation of carbonate platform.     

东海内陆架泥质沉积区全新世古环境变迁:有孔虫证据

对东海内陆架MD06-3040柱状样257个沉积物样品进行了有孔虫及其氧碳稳定同位素分析,应用底栖有孔虫组合和不同生态(表生/内生、内陆架/中外陆架)种的丰度,浮游有孔虫Globigerina.bulloides和Globigeri-noides.ruber的丰度及其稳定同位素记录,探讨了研究区全新世10.6cal.kaBP以来的古环境变迁。分析结果揭示了研究区全新世早期海面快速上升,沉积环境由滨岸内陆架(10.6～9.9cal.kaBP)、内陆架外缘(9.9～8.1cal.kaBP)转变至中陆架并达全新世最高海面(7.7～7.2cal.kaBP)。台湾暖流在8.0cal.kaBP起开始发育,并在6.0～2.8和0.7～0cal.kaBP两个时期派生出明显的上升流。台湾暖流及其所派生的上升流是造成东海陆架泥质快速沉积的最主要原因。采用浮游有孔虫G.bulloides的丰度变化,推测浙闽沿岸流在5.1cal.kaBP之前较弱,之后显著增强,其中在5.1～2.8cal.kaBP时期最为强盛。     

GPT2模型用于SDCORS反演可降水汽精度评估

利用山东区域及邻近探空站,分析GPT2模型估算气象参数（气温和气压）的精度,并将GPT2模型应用于SDCORS反演可降水汽中,分析评估其精度。研究表明,GPT2模型估算气温和气压的偏差均值分别为-1.61 ℃和0.53 Pa,标准差均值分别为2.84 ℃和4.42 Pa,均方根误差均值分别为3.27 ℃和4.49 Pa;GPT2模型估算的气象参数解算的SDCORS/PWV的偏差均值为1.22 mm,标准差均值为3.05 mm,均方根误差均值为3.46 mm,较GPT模型精度高,可靠性强。对于未配备气象传感器的CORS站,基于GPT2模型估算气温和气压,有助于利用区域CORS反演可降水汽,有效实现对大气可降水量的监测与预报。     

机载LiDAR地形特征信息快速提取

为更有效地获取地形特征信息,提出一种机载LiDAR地形特征信息快速提取算法。首先,通过构建二次曲面拟合模型,建立实测LiDAR地形数据与拟合曲面的几何规则;然后,采用LM算法迭代参数寻优,获得最优化结果下的地形拟合参数,计算拟合时间及拟合精度;最后,以地形拟合模型为基础,进行地形特征信息的快速提取。通过机载LiDAR实测数据验证,当最优搜索半径为2 m时,地形曲面的拟合时间仅为0.02 s,RMSE仅为5.09 cm。该算法保证了地形特征信息提取效率和精度,能够有效满足机载LiDAR科学研究和工程应用的技术需求。     

Implications of pre-mesozoic orogeny in the geological evolution of the Himalaya and Indo-Gangetic Plains

An integrated geological analysis of the Himalaya and Indo-Gangetic Plains demonstrates that the Great Vindhyan Basin incorporating large parts of these morphotectonic units were uplifted into an uneven landmass due to the Pre-Mesozoic orogenic cycle. This uneven landmass was eroded off largely during a considerable part of the Devonian and Carboniferous thereby causing partial absence of sedimentary sequences of these periods except in parts of the Tethys Himalaya. The Late Paleozoic epeirogenic movements brought about renewed sedimentation in the Lesser and Tethys Himalayas in the Krol and Tethys Basins, respectively, which was terminated by the Himalayan Orogeny during Late Cretaceous—Early Eocene.