Physicochemical aspects of using natural scavengers in removing methylene blue (basic dye) from solution

Effluent from dyeing and finishing processes is an important source of water pollution. The effectiveness of bentonite, kaolinite and sediment from a local deposit in removing methylene blue as a cationic dye from aqueous solutions has been investigated. The adsorption equilibrium (isotherm) has been determined according to Freundlich and Langmuir equations. The optimum amount is 0.5 g for all adsorbents, and the optimum pH ranges are 2-8 for bentonite and 2-6 for kaolinite and sediment. With respect to kinetic modelling, the adsorption of methylene blue on various adsorbents was fitted to a second-order equation. Also, the thermodynamic parameters were determined. The negative free energy values indicate the feasibility of the process and spontaneous nature of adsorption. The positive ΔH° values indicate the endothermic nature of the process. Thus, Egyptian clay minerals and sediments have a great tendency to remove the dye from solutions.     

Prioritization of Sustainable Groundwater Management Needs: The Case of the Israel's Stressed Coastal Aquifer

On-going population growth and resulting domestic demand for water require rapid and effective decision-making as regards groundwater management and control of the various sources of salinization and pollution in Coastal aquifers. Sustainability of water resources for utilization by future generations must therefore be a high priority, not only for the purpose of fulfilling needs for water usage but also for bringing people into harmony with their ambient natural environment.The objective of this paper is to propose an empirical approach for prioritization of the needs involved for sustainable aquifer management. The approach involves a schematic format to:(1) develop a global understanding of an aquifer's hydrological and environmental properties in order to delineate appropriate eco-hydrological scenarios and recommend corresponding operational management activities; and(2) emphasize the importance of educating and increasing the awareness of the population involved as to the need for and viability of socially acceptable measures for sustainable management of groundwater and other resources.The psychologist Abraham Maslow utilized a pyramid to illustrate that until people's most basic needs were fulfilled, higher levels of needs would remain irrelevant. This paper postulates a comparable pyramid prioritizing hydrological needs required for progressing towards sustainable groundwater resources. Two sub-regions of Israel's Coastal aquifer in the Sharon region have been presented as representative areas, each characterized by different stress of exploitation. In assessing these sub-regions situation, specific measures have been recommended for achieving and/or maintaining sustainable groundwater resources in light of the ambient environment, and the level of the population on the pyramidal hierarchy of groundwater needs.     

湘南地区杂柑天草高接换冠关键技术

天草杂柑的高接换冠的关键技术主要是：注意选择母树并适当修剪；合理采穗和保湿；科学嫁接；嫁接后精心管理．     

典型西南工业城市柳州市核心区大气污染物时空分布与气象因素研究

为研究柳州市核心区大气污染物浓度时空变化规律与气象因素之间的关系,统计分析了2018年全年研究区内6个自动监测站点PM_(2.5)、PM_(10)、SO_2、NO_2、O_3和CO的浓度监测数据和气象站气象数据,并对28次超标日污染物来源进行了解析.结果显示:①核心区颗粒污染物污染较为严重,且以PM_(2.5)为主的细颗粒污染物仍为柳州市主要的大气污染物;各污染物月均浓度季节差异显著,除NO_2外柳州大气污染物浓度下降明显,指示柳州市多项节能减排综合整治措施成效显著;PM_(2.5)、PM_(10)、CO受早晚高峰期影响,浓度日变化均呈双峰型;NO_2在不同季节峰型不同,作为O_3前体物其浓度日变化与O_3相反,呈现"早峰午谷"的变化趋势.②通过对污染物浓度插值发现,由于核心区主要工商业区位于西部且处于主导风向下风向,故PM_(2.5)和SO_2浓度西北高、东南低,PM_(10)、NO_2和CO浓度西南高、东北低;核心区东部的山区为O_3生成带来大量前体物,使O_3浓度东南高、西北低.③由于气候特征,核心区春、夏季主要气象因素均为降水量;秋季的主要气象因素是风速,风速与污染物的负相关关系表明了风的扩散效应;冬季大部分污染物与气象因素的相关性不显著,表明人为因素对污染物的影响大于气象因素;核心区大气污染物主要来源于局地排放和区域传输,且南北主导风向对大气污染影响最大.④HYSPLIT模型结果指示柳州超标日大气污染物主要来自于珠三角地区,且陆源颗粒物浓度普遍比海洋源高,来自南部的远距离输送气流颗粒物含量最低,表明远距离输送为影响颗粒物传播的主要原因.     

基于边介数的省域生态廊道构建方法优化

我国城市建设和生态保护工作均对土地资源有大量需求,二者之间的矛盾在经济优先发展区表现尤为明显.为了有效地改善生态环境,管控土地利用并引导其变化发展,需要建设具备不可替代特征的省域生态廊道.最小累积阻力模型（minimum cumulative resistance,MCR）是识别生态廊道最常用、有效的模型,但在应用于省域尺度时,MCR模型识别的潜在廊道路由存在冗余的问题.因此,通过引入网络科学中的边介数指数（edge-betweenness）对MCR模型进行优化,计算潜在廊道路由的边介数指数值,选取出其中最为重要和简明的结构来连通生态源地,即提取潜在路由中的骨干路由（backbone route）和关键战略点（key strategic point）作为不可替代的结构来指导省域生态廊道建设.将优化后的MCR模型应用于广东省,构建了全长5 493 km的省域生态廊道,其中包含生态源地20处,关键战略点11个,骨干生态廊道29条.骨干路由与关键战略点构成的不可替代省域生态廊道（irreplaceable provincial corridor）能够实现"廊道数量和占地面积最少、连通性基本不变"的目标.研究显示,边介数能够对潜在路由进行优化筛选,识别出维护省域生态安全的关键结构;不可替代生态廊道能够指导省域生态规划和土地空间的发展利用,并为更高水平的生态安全环境提供了演进的基础;同时也为土地资源紧张的地区提供了建设生态廊道的参考与依据.      

厦门市冬季PM2.5污染情境识别及其与气象条件的关系

为研究厦门市冬季不同PM_2.5污染情境与气象条件和气团轨迹路径特征的关系,结合PM_2.5观测数据,使用AGAGE（Advanced Global Atmospheric Gases Experiment）统计方法识别2014—2018年冬季厦门市PM_2.5观测值、基线值和污染值情境,通过气象数据统计和气团后向轨迹聚类对不同PM_2.5污染情境下气象条件和气团轨迹路径特征进行探究.结果表明:①厦门市冬季不同PM_2.5污染情境下,ρ（PM_2.5）及PM_2.5污染值情境时长占比均呈波动中下降的趋势,具体表现为冬季PM_2.5观测值、污染值和基线值情境下,ρ（PM_2.5）平均值分别从2014年的42.2、90.7、16.4 μg/m3降至2018年的26.3、56.9、8.8 μg/m3,冬季PM_2.5污染值情境时长占比从2014年的10.2%降至2018年的3.0%.②冬季PM_2.5污染值情境下气象要素呈低风速、低气压、高温度、高相对湿度的特征.③冬季到达厦门市的气团轨迹路径中,局地路径由于大气条件稳定易累积形成PM_2.5污染;偏北路径和西北路径易从临近省份携带污染物输入导致PM_2.5污染,属于重要的外源污染输入路径;沿海路径和偏西路径均属于清洁路径,但沿海路径易在福建省北部与偏北路径重合形成污染输入,加强了偏北路径的污染物输送能力.研究显示,近年来厦门市冬季PM_2.5污染有明显减弱趋势,但不利的气象条件和外来污染输入仍会造成PM_2.5污染的发生.      

哈尔滨近地面O3浓度特征

伴随着经济发展和城镇化进程的加速,很多城市的臭氧浓度存在超标问题.本文选取2014—2017年哈尔滨城区污染数据及气象要素数据,对哈尔滨近地面层O_3时空分布特征及其与气象要素的关系进行了分析,结果表明:哈尔滨O_3日内单峰分布,最高值出现在下午14:00,最低值在清晨7:00.空间分布东南部最高,其次是南部,城中区较低.日间周末的近地面O_3浓度较高,而夜间工作日的O_3浓度较高.哈尔滨O_3浓度与平均气温正相关,与相对湿度负相关,与低于37 W·m~(-2)的紫外辐射正相关.     

大气自净能力指数的气候特征与应用研究

为了定量地评估污染气象条件对空气污染的作用并实现对空气污染潜势的预报,本文在城市大气污染数值预报系统（CAPPS）预报原理的基础上,定义了大气自净能力指数,并分别给出了采用气象站观测资料和通过数值模拟计算大气自净能力指数的方法.基于气象站观测资料的全国大气自净能力指数分析计算表明,全国大气自净能力最差的地区分布在四川盆地和新疆塔里木盆地,大气自净能力最强的地区分布在青藏高原、蒙古高原、云贵高原、以及东北平原和三江平原、山东半岛和海南岛;1961~2017年,京津冀、长三角和珠三角地区的大气自净能力指数呈下降的变化趋势,全年低自净能力日数呈上升的变化趋势.采用大气自净能力指数评估2014年北京APEC会议期间大气污染防控效果,表明在11月8~10日极端不利扩散气象条件发生时,减排措施使北京市空气质量AQI平均降低77%,使京津冀平原地区11个城市的空气质量AQI平均降低37%.基于国家气候中心月动力延伸气候预测模式（DERF2.0）的预报产品和中尺度模式（WRF）,建立了可以预测全国未来40d逐日大气自净能力指数的延伸期-月尺度大气污染潜势预测系统,回报实验表明,在大多数情况下可以提前15d预报出大气重污染过程;月尺度的大气重污染过程预报效果更大程度上取决于月动力延伸气候预测模式（DERF2.0）的预报准确率.     

Effects of meteorological conditions on PM10 concentrations - A study in Macau

Review on the annual PM₁₀ concentrations over a 10-year period shows that Macau is subjected to severe fine particulate pollution. Investigations of its variation in monthly and daily time scales with the local meteorological records reveal further details. It is found that a distinct feature of the Asian monsoon climates, the changes of wind direction, mainly controls the general trend of PM₁₀ concentration in a year. The monsoon driven winter north-easterly winds bring upon Macau dry and particle enriched air masses leading to a higher concentration in that period while the summer south-westerly winds transport humid and cleaner air to the region leading to a lower PM₁₀ value. This distinct seasonal feature is further enhanced by the lower rainfall volume and frequency as well as mixing height in winter and their higher counterparts in summer. It is also found that the development of tropical cyclones near Macau could also impose episode like PM₁₀ concentration spikes due to the pre-typhoon induced stagnant air motion followed by the swing of wind direction to the northerly.     

Evaluation of Water Quality in the Chillán River (Central Chile) Using Physicochemical Parameters and a Modified Water Quality Index

The Chillán River in Central Chile plays a fundamental role in local society, as a source of irrigation and drinking water, and as a sink for urban wastewater. In order to characterize the spatial and temporal variability of surface water quality in the watershed, a Water Quality Index (WQI) was calculated from nine physicochemical parameters, periodically measured at 18 sampling sites (January–November 2000). The results indicated a good water quality in the upper and middle parts of the watershed. Downstream of the City of Chillán, water quality conditions were critical during the dry season, mainly due to the effects of the urban wastewater discharge. On the basis of the results from a Principal Component Analysis (PCA), modifications were introduced into the original WQI to reduce the costs associated with its implementation. WQI_DIR2 and WQI_DIR, which are both based on a laboratory analysis (Chemical Oxygen Demand) and three (pH, temperature and conductivity), respectively, four field measurements (pH, temperature, conductivity and Dissolved Oxygen), adequately reproduce the most important spatial and temporal variations observed with the original index. They are proposed as useful tools for monitoring global water quality trends in this and other, similar agricultural watersheds in the Chilean Central Valley. Possibilities and limitations for the application of the used methodology to watersheds in other parts of the world are discussed.