A review of advances in China’s flash flood early-warning system

This paper summarizes the main flash flood early-warning systems of America, Europe, Japan, and Taiwan China and discusses their advantages and disadvantages. The latest development in flash flood prevention is also presented. China’s flash flood prevention system involves three stages. Herein, the warning methods and achievements in the first two stages are introduced in detail. Based on the worldwide experience of flash flood early-warning systems, the general research idea of the third stage is proposed from the viewpoint of requirements for flash flood prevention and construction progress of the next stage in China. Real-time dynamic warning systems can be applied to the early-warning platform at four levels (central level, provincial level, municipal level, and county level) . Through this, soil moisture, peak flow, and water level can be calculated in real-time using distributed hydrological models, and then flash flood warning indexes can be computed based on defined thresholds of runoff and water level. A compound warning index (CWI) can be applied to regions where rainfall and water level are measured by simple equipment. In this manner, flash-flood-related factors such as rainfall intensity and antecedent and cumulative rainfall depths can be determined using the CWI method. The proposed methodology for the third stage could support flash flood prevention measures in the 13th 5-Year Plan for Economic and Social Development of the People’s Republic of China (2016–2020). The research achievements will serve as a guidance for flash flood monitoring and warning as well as flood warning in medium and small rivers.     

Analysis of estimated satellite clock biases and their effects on precise point positioning

This study provides a systemic analysis to identify the biases in estimated satellite clocks and illustrates their effects in precise point positioning (PPP). First, the precise satellite clock estimation method considering pseudorange and carrier phase hardware delays is derived. Two methods for satellite clock estimation are compared, and their equivalency is discussed. The results show that apart from the well-known constant code hardware biases, the time-variant phase hardware biases are also absorbed by the estimated clocks. Also, the satellite clocks contain biases caused by modeling errors. To analyze the effects of these biases, they are grouped into initial clock biases (ICBs) and time-dependent biases (TDBs). Then, a detailed analysis of the impact of the biases on PPP-based troposphere and coordinate estimates is conducted. The experimental analysis demonstrates that TDBs affect positioning and tropospheric estimates, and their impacts are more significant in the static mode. The ICBs affect coordinate accuracy, zenith total delay mean bias, and its standard deviations only at the millimeter level for kinematic and static PPP, which is negligible. However, the ICBs affect the convergence period for both static and real kinematic PPP, and the magnitude of their impact largely depends on data quality. Note that satellites clocks are generally estimated with the P1/P2 and L1/L2 ionospheric-free combinations, and that hardware-specific parts of ICBs and TDBs cancel if users employ the same type of observables as the clock providers. Otherwise, the effects of biases cannot be ignored, especially for triple-frequency applications. Also, modeling-specific parts of ICBs and TDBs are significant in real-time clocks, which also affect user applications. Our conclusion is applicable for understanding the effects of these biases.     

Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data

The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine‐scale study due to a lack of available data and effective models. By integrating a convolutional neural network for united mining (UMCNN) and random forest (RF), this study proposes an effective deep‐learning‐based framework for fusing multi‐source geospatial data, including high spatial resolution (HSR) remotely sensed imagery and several types of social media data, and maps urban housing prices at a very fine scale. With the collected housing price data from China's biggest online real estate market, we produced the spatial distribution of housing prices at a spatial resolution of 5 m in Shenzhen, China. By comparing with eight other multi‐source data mining techniques, the UMCNN obtained the highest housing price simulation accuracy (Pearson R = 0.922, OA = 85.82%). The results also demonstrated a complex spatial heterogeneity inside Shenzhen's housing price distribution. In future studies, we will work continuously on housing price policymaking and residential issues by including additional sources of spatial data.     

Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin,China

Natural Hazards - Droughts have caused many damages in many countries and might be aggravated around the world. Therefore, it is urgent to predict and monitor drought accurately. Soil moisture and...     

渤海湾盆地大型基岩潜山储层特征及其控制因素——以渤中19- 6凝析气田为例

渤中19-6气田是渤海湾盆地近期发现的规模最大的深层变质基岩凝析气田,探明储量超过千亿立方米,气柱高度超1000 m,现今埋深大于4000 m,储层规模大但非均质性强.基于三维地震、钻井、测井以及薄片资料,明确了基岩潜山储层的发育特征,并探讨了优质储层形成的主控因素.结果表明:基岩潜山以太古宇变质花岗岩为主要的储集岩性,储集空间主要为构造裂缝,同时发育沿裂缝溶蚀形成的孔隙及构造破碎粒间孔,平均孔隙度为5％,平均渗透率为6.48×10-3μm2.脆性岩石、构造挤压以及风化作用共同控制了规模性储层的形成:① 研究区90％的岩石为低抗压强度的变质花岗岩,为裂缝的形成提供了物质基础;② 印支期强烈的挤压为规模性裂缝的形成提供了外部动力,是大规模储层发育最为关键的因素;不同构造位置裂缝发育程度不同,造成了储层平面分布的非均质性;③ 长期的风化作用使得潜山上部300 m以内的储集物性得到进一步改善,控制了潜山垂向上储层的非均质性.     

Destressing Mechanics Effect of Surrounding Rock Induced by Blasting Precondition at Deep Drift Development

Geotechnical and Geological Engineering - Using a detailed modeling simulation technology, a mechanics simulation model was constructed, including multiple development rounds, stress relief holes...     

渤海湾盆地黄河口凹陷东洼断裂体系发育特征及其变形过程的构造物理模拟

黄河口凹陷东洼是渤海盆地典型的盆缘洼陷,基于新一轮区域三维地震精细解释资料,采用构造解析与构造物理模拟技术相结合的方式,对黄河口凹陷东洼的断裂体系特征与构造演化过程进行研究.研究表明,受走滑和伸展变形的共同作用,研究了发育了以NNE-NE走向为主的走滑断裂体系和以EW-NEE走向为主的伸展断裂体系,断裂构造演化经历了孔店组-沙四段沉积时期的初始张扭裂陷阶段、沙三段沉积时期的走滑伸展裂陷阶段、沙一二段和东营组沉积时期的伸展萎缩持续走滑阶段、馆陶组和明化镇组沉积时期张扭变形阶段等4个阶段.其中,主走滑断层是在初始张扭裂陷阶段所形成的NE向伸展断层基础上持续活化而成;主伸展断层则形成于走滑伸展裂陷阶段的SN向伸展作用应力背景下.在伸展萎缩持续走滑阶段,各方位断裂在近SN向伸展作用下持续再活动,表现为走滑-伸展复合变形为主;在张扭变形阶段,先期主干断裂选择性活动,同时新生形成大量新近系的次级断层.      

Heat Islands of Small Towns and Villages in Moscow Region

Doklady Earth Sciences - Surface urban heat island, which are thermal anomalies in the field of surface temperatures, have been studied for the first time for different towns and villages of Moscow...     

New Data on the Chronostratigraphy of the Upper Pleistocene Loess–Soil Series in Southwestern Siberia

Doklady Earth Sciences - We have analyzed the modern status of the chronostratigraphic differentiation of the loess–paleosoil series in southwestern Siberia and the results of luminescence...