Total mercury in terrestrial systems (air-soil-plant-water) at the mining region of San Joaquín,Queretaro, Mexico

Deficient management of cinnabar mining left the San Joaquín region with high concentrations of mercury in its soils (2.4 – 4164 mg kg^-1). Numerous cinnabar mines have contributed to the dispersion of mercury into agricultural (0.5 –314 mg kg^-1) and forest (0.2 – 69 mg kg^-1) soils. Sediments are a natural means of transportation for mercury, causing its spreading, especially in areas near mine entrances (0.6 – 687 mg kg^-1). The nearness of maize crops to mines favors mercury accumulation in the different plant structures, such as roots, stems, leaves, and grain (0.04 – 8.2 mg kg^-1); these being related to mercury volatilization and accumulation in soils. Mercury vapor present in the settlements could indicate a constant volatilization from lands and soils (22 – 153 ng m^-3). The mercury levels found in the soils, in maize grain, and in the air resulted greater than the standards reported by the Official Mexican Norm (NOM) and the World Health Organization (WHO). Mercury in rainwater is due mainly to the presence of suspended atmospheric particles, later deposited on the surface (1.5 – 339 μg |^-1). Mercury dissolution was found in the drinking water (10 – 170 ng |^-1), with concentrations below those established by the NOM and the WHO. The contamination existing in the San Joaquín region does not reach the levels of the world’s greatest mercury producers: Almaden (Spain) and Idrija (Slovenia). It is, however, like that found in other important second degree world producers such as Guizhou (China). The population of San Joaquín, as well as its surrounding environment, are constantly exposed to mercury contamination, thus making a long term monitoring necessary to determine its effects, especially to people.     

A note on the applicability of log-Gumbel and log-logistic probability distributions in hydrological analyses: II. Assumed pdf

Abstract

Applicability of log-Gumbel (LG) and log-logistic (LL) probability distributions in hydrological studies is critically examined under real conditions, where the assumed distribution differs from the true one. The set of alternative distributions consists of five two-parameter distributions with zero lower bound, including LG and LL as well as lognormal (LN), linear diffusion analogy (LD) and gamma (Ga) distributions. The log-Gumbel distribution is considered as both a false and a true distribution. The model error of upper quantiles and of the first two moments is analytically derived for three estimation methods: the method of moments (MOM), the linear moments method (LMM) and the maximum likelihood method (MLM). These estimation methods are used as methods of approximation of one distribution by another distribution. As recommended in the first of this two-part series of papers, MLM turns out to be the worst method, if the assumed LG or LL distribution is not the true one. It produces a huge bias of upper quantiles, which is at least one order higher than that of the other two methods. However, the reverse case, i.e. acceptance of LN, LD or Ga as a hypothetical distribution, while the LG or LL distribution is the true one, gives the MLM bias of reasonable magnitude in upper quantiles. Therefore, one should avoid choosing the LG and LL distributions in flood frequency analysis, especially if MLM is to be applied.     

Hydrological and meteorological extremes derived from taxation records: the estates of Brtnice,Třebíč and Velké Meziříčí, 1706–1849

Abstract

This paper addresses the hydrological and meteorological extremes that may be deduced from the taxation records of the estates of Brtnice, T?ebí? and Velké Mezi?í?í, all in the Moravian-Bohemian Highlands of the Czech Republic, for the years 1706–1849. At that time, damage to agricultural crops constituted grounds for tax remission for individual farmers and landowners. Where it survives, the relevant administrative documentation generally includes a statement from the applicant, a report by the official commission tasked with checking the contents of it, and any decisions made by taxation authorities at regional and “land” level (the Jihlava regional office and the Moravian Land Administration (“Gubernium”) respectively). Data extracted may include the type of event, dating, places of occurrence and damage done. The chronology of hydrological and meteorological extremes (torrential rain, flash flood, flood, hailstorm, lightning, frost) covers the period 1706–1849, but only four events are evident before 1748 and there is a gap in records between 1757 and 1789. Extremes are analysed from a spatio-temporal point of view. A total of 97 extreme events (171 extremes of particular type) were identified for the region studied. Torrential rain, hailstorm and flash flood were the major devastating phenomena, and occurred mainly from May to August. Torrential rain and hailstorm are clearly attributable to thunderstorms with very intense convection. Five outstanding events and their impacts upon individual farmers are described in detail. The results are discussed with respect to uncertainties in the basic data and in the context of the Czech Lands, because only some of the extremes disclosed are known and confirmed by other documentary data.

Editor Z.W. Kundzewicz

Citation Dolák, L., Brázdil, R., and Valá?ek, H., 2013. Hydrological and meteorological extremes derived from taxation records: the estates of Brtnice, T?ebí? and Velké Mezi?í?í, 1706–1849. Hydrological Sciences Journal, 58 (8), 1620–1634.     

Flooding in Fiji: findings from a 100-year historical series

Abstract

Correspondence from a long-established sugar mill provided the opportunity to construct the longest flood series for a river in Fiji—the Ba River in northwest Viti Levu—from 1892 to 2002. Flood waters reached the mill floor every four years on average. Contrary to common lore, this study could detect no increase in the frequency of major floods over the course of the 20th century, despite intensification of land use and siltation of the river channel over that time. Large, slow-moving tropical cyclones situated northwest of the valley have generated large floods, but so too have tropical rainstorms. Major floods have occurred in months when the Southern Oscillation Index (SOI) was both negative and positive, suggesting that the SOI is a poor indicator of flood potential for the Ba River.     

DISCHARGE AND SEDIMENT-LOAD CHARACTERISTICS OF THE HILDA ROCK-GLACIER STREAM,CANADIAN ROCKY MOUNTAINS,ALBERTA

Water discharge and sediment load characteristics of the Hilda rock-glacier stream are described for portions of the 1985 and 1986 ablation seasons. Covering an area of 1.5 km², the Hilda rock glacier yields a relatively consistent flow, generally low in suspended sediments and relatively high in total dissolved solids during the ablation season. The seasonal hydrograph shows decreasing discharge and suspended sediment load and increasing dissolved loads through the ablation season as snowmelt water sources are depleted. Superimposed on this is a diurnal hydrograph showing that daily peaks in discharge lag several hours behind daily temperature maxima. Rain events produce hydrograph anomalies and act to flush sediment, elevating suspended loads, while diluting dissolved loads. These data suggest that rock-glacier hydrological systems are more responsive to short-term and transient meteorological conditions than previously suggested in the literature. Nonetheless, the data indicate that the Hilda rock glacier is more conservative in both water and sediment yield than glacier systems of comparable size and in the same environment.     

IMPACT OF THE SOUTHERN OSCILLATION ON THE NORTH AMERICAN SOUTHWEST MONSOON

The intensity and spatial variations in the North American Southwest Monsoon are examined to determine the influence of the Southern Oscillation. Sixty-five years (1920–1984) of July and August monthly precipitation data from Arizona and New Mexico are normalized using a square root transformation, converted into z-scores, and stratified according to onset and following years for Warm Events and Cold Events of the Southern Oscillation. The results for July reveal different spatial patterns in the monsoonal precipitation for the extremes of the Southern Oscillation. Warm-Event onset years are associated with positive precipitation anomalies that decline along a northeast-to-southwest gradient across the study area whereas the Cold-Event onset years produce highest positive values in west-central Arizona and negative values throughout the eastern two-thirds of the study area. Spatial patterns for the August precipitation data do not appear to be influenced by the extremes of the Southern Oscillation. [Key words: Southwest Monsoon, Southern Oscillation, Arizona, New Mexico.]     

An assessment of three satellite-based precipitation data sets as applied to the Thailand region

The study examines three satellite-based data sets to estimate long-term precipitation for the Thailand region: the Tropical Rainfall Mapping Mission (TRMM) 3B43, the Climate Prediction Centre morphing technique (CMORPH), and a locally developed regression model using the geostationary meteorological satellite (GMS) covering the Thailand region. Data for the first two sets were available at a spatial resolution of 0.25° × 0.25°, while the local regression model used data from the GMS at a resolution of 5 km × 5 km. The statistical regression model was developed by relating long-term monthly average precipitation from 27 rain gauge stations with concurrent satellite data in the visible and thermal infrared bands. The model was then tested against independent data from 27 rain gauge stations. Satellite/rain gauge ratios were estimated, and a smooth spline surface was used to correct the error from the model. Data from the three approaches were compared with a rain gauge network. The TRMM relation performed better than CMORPH, and the performance for GMS was comparable to TRMM with root mean square different and mean bias difference of 33.6 and 4.2%, respectively. The locally developed regression model was used to produce monthly and yearly total rainfall maps from the GMS data for the entire country.     

THE ROLE OF VEGETATION DYNAMICS IN CHOCTAWHATCHEE SAND PINE INVASION OF LONGLEAF PINE FORESTS

The expansion of Choctawhatchee sand pine (Pinus clausa) into longleaf pine forests (Pinus palustris) has been widespread on the Florida Panhandle since the early 1900s. This study examines the population-level processes of this sand pine invasion. Expansion of sand pine started by 1920, but rapidly increased in the 1940s. Population establishment and growth in invasive stands has been rapid, with establishment of many sand pine pioneer individuals followed by rapid infilling as these individuals reached reproductive maturity. Both noninvasive and invasive stands had numerous sand pine seedlings and saplings. Sand pine will likely persist in these communities in the near future. Analyses of hemispherical canopy photographs and regeneration patterns illustrate the ability of sand pine to establish under a variety of light conditions. Radial growth analysis of incremental tree cores highlights the importance of episodic wind disturbances in maintaining these sand pine populations. [Key words: sand pine, longleaf pine, Pinus clausa, Florida, pine invasion, Pinus palustris.]     

沿淮地区秋季连阴雨综合指数构建及其变化特征

基于安徽省沿淮地区10个国家气象站1960-2019年观测资料、灾情资料和7种地方连阴雨监测指标,在评估7种地方指标适用性的基础上,采用加权综合指数法和线性趋势法,构建了沿淮地区秋季连阴雨综合指数,分析了时空变化特征。结果表明:江苏指标对沿淮地区连阴雨监测的适用性最好,连阴雨综合指数由连阴雨总日数、连阴雨总降水量线性组成,权重分别为0.8和0.2。按照综合指数,将连阴雨强度分成重度、中度、轻度3级,分级结果与灾情实况较吻合,重度连阴雨和中度连阴雨TS评分分别为100%、88.9%。秋季连阴雨在20世纪70年代到80年代前期及近10年发生频率高、强度大,尤其是2016年和2017年的连阴雨,强度居历史前2位。沿淮地区连阴雨年数东部和西部的多于中部的,重度连阴雨阜南的最多,五河的最少。     

浅谈多传感器融合技术在气象观测中应用

多传感器融合技术现阶段在气象观测中的应用主要体现在气温降水多传感器上,多传感器的正式运行减轻了地面气象观测人工维护工作量,确保气温与雨量数据的完整性,但在使用中发现多传感器融合观测存在的一些问题,如果能完善解决这些问题,则能进一步提高气温降水观测数据的准确性,实现全方位地面观测自动化。