Heavy mineral studies on late quaternary red sediments of Bhimunipatnam,Andhra Pradesh,East coast of India

Thirty one sediment samples from different varieties viz. yellow, reddish brown, brick red and light yellow sands from red sediments of Bhimunipatnam, Andhra Pradesh were studied to understand the heavy mineral assemblage, their fractionwise distribution and concentration. The heavy mineral assemblage in red sediments is ilmenite, magnetite, sillimanite, garnet, zircon, rutile, kyanite, monazite etc. Total heavy minerals (THM) wt. % varies from 16.67 to 23.99% and their concentration is not uniform in all the sedimentary samples. The higher THM wt% in brick red sands (23.99%) followed by reddish brown sands (20.24%), light yellow sands (17.10%) and yellow sands (16.67%). The finer fractions have more concentration of THM wt% than coarse fraction. The vertical distribution of heavy minerals in each sedimentary unit indicates that these units are not formed in single phase of deposition. Less concentration of garnets in yellow and light yellow sedimentary units indicates that the garnets might be chemically altered into iron hydroxide–limonite which gives yellow colour to the sediments under slightly oxidizing environment. Low concentration of garnets in brick red and reddish brown sediments indicates that garnets might have been undergone chemical decomposition under acidic conditions leads to produce iron oxides (Hematite) causes for red colorization of these units. The heavy mineral assemblage in different sand units indicates that they are derived from Eastern Ghat Group of rocks (khondalites and charnockites).     

Cementation in cold-water bryozoan sand, Tasmania, Australia

Cold-water (<3–11°C) carbonate is the predominant sediment on the Tasmanian shelf. Calcitic skeletal grains (bryozoa, foraminifera, echinoderms, etc.) predominate over aragonitic (gastropods, etc.) ones. Non-skeletal grains are mostly micritic intraclasts with some pellets.

Fibrous spherulitic and rhombohedral calcite submarine cements range up to 90% in the bryozoan sand. X-ray analyses show that the bryozoan sand is characterized by a spectrum of calcites (low to high magnesian) and some aragonite.

A uniform spread of Mg concentrations from 0.06 to 2.48 wt.% indicates <3–10°C ambient water temperatures. The Mn (10–360 ppm) and Fe (176–2499 ppm) concentrations increase with increasing Mg values due to the formation of impure CaCO₃ phases. The Sr content in bryozoan sand (bryozoa = 3200 ppm Sr) decreases with increasing rhombohedral calcite cement, as low Mg-calcite precipitating from 3° C sea water would have 1350 ppm Sr. The bryozoan sand grains with fibrous spherulitic calcite cements have high Sr concentrations (4470–7000 ppm), in the same range as in aragonitic (detected only by X-ray analyses) bryozoan sand grains. The spherulitic calcite cements are either pseudomorphs after original aragonite cements or these calcite cements and aragonite were inverted from fibrous spherulitic vaterite, a predominant CaCO₃ polymorph at temperatures <10°C.     

Stability of breakwater defenced by a seaward submerged reef

The stability of a uniformly sloped conventional rubble mound breakwater defenced by a seaward submerged reef is investigated using physical model studies. Regular waves of wide ranging heights and periods are used. Tests are carried out for different spacings between two rubble mound structures (X/d=2.5–13.33) and for different relative heights (h/d=0.625–0.833) and relative widths (B/d=0.25–1.33) of the reef. It is observed that a reef of width (B/d) of 0.6–0.75 constructed at a seaward distance (X/d) of 6.25–8.33 breaks all the incoming waves and dissipates energy and protects the breakwater optimally.     

Groundwater flow modelling of Kwa Ibo River watershed,southeastern Nigeria

Groundwater flow modelling of the Kwa Ibo River watershed in Abia State of Nigeria is presented in this paper with the aim of assessing the degree of interaction between the Kwa Ibo River and the groundwater regime of the thick sandy aquifer. The local geology of the area comprises the Quaternary to recent Benin Formation. Potential aquifer zones that were delineated earlier using geoelectrical resistivity soundings and borehole data for the area formed the basis for groundwater flow modelling. The watershed has been modelled with a grid of 65 rows by 43 columns and with two layers. Lateral inflow from the north has been simulated with constant heads at the Government College, Umuahia, and outflow at Usaka Elegu in the south. The Kwa Ibo River traverses the middle of the watershed from north to south. The river‐stage data at Umudike, Amawom, Ntalakwu and Usaka Elegu have been used for assigning surface water levels and riverbed elevations in the model. Permeability distribution was found to vary from 3 to 14·5 m day^?1. Natural recharge due to rainfall formed the main input to the aquifer system, and abstraction from wells was the main output. A steady‐state groundwater flow simulation was carried out and calibrated against the May 1980 water levels using 26 observation wells. The model computations have converged after 123 iterations. Under the transient‐state calibration, the highest rainfall (and hence groundwater recharge) over the 10‐year study period was recorded in 1996, whereas the lowest was recorded in 1991. The computed groundwater balance of 55 274 m³ day^?1 was comparable to that estimated from field investigations. Results from the modelling show that abstraction is much less than groundwater recharge. Hence there is the possibility for additional groundwater exploitation in the watershed through drilling of boreholes. Copyright © 2008 John Wiley & Sons, Ltd.     

Study of simultaneous presence of DD and PP electric fields during the geomagnetic storm of November 7–8, 2004 and resultant TEC variation over the Indian Region

During very intense geomagnetic storm of November 7–8, 2004 simultaneous presence of storm time disturbance dynamo and eastward and westward directed prompt penetration electric fields inferred from the ground based magnetometer data in the 75^° E sector is presented. Magnetometer observations show that, on the whole, average ΔH variation on 8 November remains below the night time level compared to its quiet day variation. A number of upward and downward excursions have been observed between 0130 UT and 0800 UT in the ΔH variation on 8 November. These excursions in ΔH have been attributed to the episodes of eastward and westward prompt penetrating electric fields. Ionospheric response in the equatorial ionization anomaly region along 75^° E has also been studied using the total electron content data recorded at five GPS stations, namely Udaipur, Bengaluru (IISC), Hyderabad (HYDE), Maldives (MALD) and Diego Garcia (DGAR). Observation of markedly suppressed EIA, in conjunction with ΔH variation which was m negative during the daytime on 8 November, indicates the presence of an external field of opposite polarity (the disturbance dynamo electric field) that either undermined, or overshadowed the daytime ambient (eastward) electric field to the extent that the equatorial plasma fountain could not become effective.     

松辽盆地中央坳陷及邻区三维地热地质建模与地热资源靶区优选

三维地热地质建模能够直观反映地质体温度场分布格局, 有助于圈定地热资源有利靶区。本文利用地球物理及钻孔资料、岩石热物性数据对松辽盆地中央坳陷区进行三维地质建模及温度场模拟, 通过钻孔测温和实测大地热流数据, 验证了地热地质模型的可靠性。结果表明, 中央坳陷在1.0~4.0 km深度的温度分别为30.3℃~62.8℃、68.2℃~120.2℃、110.5℃~166.7℃、158.4℃~214.2℃。4.0 km深度内地温梯度介于36.9℃/km~57.4℃/km之间, 平均地温梯度为48.4℃/km。嫩江组、姚家组二段-三段、青山口组二段-三段和泉三段-四段4套主力热储底板温度分别介于15.8℃~71.4℃、23.6℃~88.6℃、31.8℃~107.4℃和48.9℃~133.4℃, 其中华字井阶地、大庆长垣、宾县王府凹陷为热储温度高值区。研究区现今地温场主要受基底起伏的控制, 基底和沉积层热导率的差异引起的热流"折射"效应促进了浅部热量的再分配, 形成了凹凸相间的地温场分布格局; 此外, 断裂构造对地温场高异常区的分布也有显著影响。结合热源、通道和储盖组合特征, 圈定大庆长垣中部地区泉头组三段-四段为松辽盆地中央坳陷地热资源开发有利靶区。     

Groundwater quality in a coastal area: a case study from Andhra Pradesh, India

Over-exploitation of groundwater results in decline of water levels, leading to intrusion of salt water along the coastal region, which is a natural phenomenon. A groundwater quality survey has been carried out to assess such phenomena along the coast of Visakhapatnam, Andhra Pradesh, India. Brackish groundwaters are observed in most of the wells. The rest of the wells show a fresh water environment. The factors responsible for the brackish groundwater quality with respect to the influence of seawater are assessed, using the standard ionic ratios, such as Ca²⁺:Mg²⁺, TA:TH and Cl⁻:HCO⁻ ₃. Results suggest that the brackish nature in most of the groundwaters is not due to the seawater influence, but is caused by the hydrogeochemical process. Some influence of seawater on the groundwater quality is observed along the rock fractures. The combined effect of seawater and urban wastewaters is due to the inferior quality of groundwater in a few wells, where they are at topographic lows close to the coast.     

Cyclone track prediction by a quasi-Lagrangian limited area model

Summary. ?Cyclone track predictions in the Indian seas (Bay of Bengal and Arabian Sea) with a quasi-Lagrangian model (QLM) have been attempted. QLM has a horizontal resolution of 40 km and 16 sigma levels in the vertical. It is integrated in a domain of about 4400 × 4400 km². A new initialization procedure to provide initial fields for running the model has been designed. The initialization procedure consists of updating the global model forecasts, used as first guess, provided by the National Center for Medium Range Weather Forecasting (NCMRWF), New Delhi. A new version of IMD’s operational optimum interpolation scheme has been created to suit the QLM grid structure. Lateral boundary conditions are computed from the extended forecasts of NCMRWF. The track forecasts in each case show a reasonable skill of the forecast model in predicting the direction of movement within acceptable limits of forecast errors, which are comparable to some of the best models operated by advanced NWP centers of the world. Even the recurving storms are well predicted. Evolution of the vertical motion fields are also studied which reveal some interesting features, which are described in detail in the text. The composited vertical motion fields are projected against observed rainfall distribution, which show a good spatial correspondence. Received August 9, 2001; revised March 12, 2002; accepted June 17, 2002 Published online: May 8, 2003