基于GIS的百花湖流域土地利用变化与水质响应

利用ArcGIS和ENVI软件并结合Spearman分析法,探究百花湖流域1997年、2007年和2017年土地利用类型变化对5种水质指标年均值的响应。结果表明:1997—2017年流域内林地和建筑用地面积递增,耕地面积递减,林地占整个流域面积的50%以上;在土地转移中林地、建筑用地和耕地之间的转移最大,林地和建筑用地的增加主要来自耕地;1997年水质最好,2007年水质最差,2017年对流域实施水污染治理工程后水质有所改善;相关分析得出建筑用地、耕地与TN、TP、NH_3-N呈显著正相关,对TN、TP、NH_3-N有"源"的作用,林地与TN、TP呈显著负相关,对TN、TP有"汇"的作用。     

滇池近20年水环境变化趋势与影响因素分析

利用2001—2020年滇池水质监测数据,研究其水环境时空变化特征。结果表明：滇池水质呈现波动变化趋势,TN波动区间较大,呈现雨季＜旱季的变化趋势。TP年内变化3—6月呈现增长趋势,空间上滇池北部TP值整体较高。Chl-a年内变化7—10月出现明显提升。IMn波动区间较大,空间上滇池南部呈现IMn值较高且稳定。NH3-N年内2—11月整体呈现连续下降趋势。2001—2020年滇池TLI整体呈现波动降低;空间上呈现由北向南递减,草海区域富营养化较为严重。滇池Chl-a与TN、TP、水温、pH值及降雨量呈现正相关性,与水位和透明度呈现负相关性。     

凤眼莲死亡对湖泊水质的持续性影响分析

凤眼莲是优良的污水净化植物,凤眼莲死亡后残体对水质的影响制约了其应用.在凤眼莲衰亡后,调查研究凤眼莲死亡对自然水体水质的影响,结果表明,在凤眼莲的衰亡期,其对富营养化水体的透明度、CODMn、TN、TP、NH4 -N等指标仍然具有改善作用;在后续影响期(次年春季),在有凤眼莲死亡腐烂的水体中,除了水体TN浓度呈现增加趋势外,其他主要水质指标的浓度变化均不明显.     

长湖流域水质时空分布特征及影响因子

利用2009—2014年长湖5个水质监测点数据,采用时间序列法分析了长湖水质的时间变化规律,采用相关性分析法,分析了流域水污染的影响因子。结果表明:在时间上,长湖水污染物质量浓度季节变化明显,COD、TN、NH3-N均为7、9月较低,1、3月较高,丰水期水质好于枯水期。入湖地区TP质量浓度7月达最高值,且7月份入湖地区的桥河口、关沮口的NH3-N、TN含量稍高于5月。空间上,西北部入湖地区水质劣于湖心及东南部出湖地区。工业、生活等点源污水,以耕地为主的农业非点源以及天然降水量和径流量是影响水质的主要因素,入湖排污量、降水量和径流量与长湖水质呈显著相关关系(P0.05)。     

土地利用景观格局对信江水质的影响

利用GIS空间分析与统计方法,从景观尺度和类型尺度两方面分析了流域景观格局空间分异对河流高锰酸盐指数(CODMn)、氨氮、总氮(TN)、化学需氧量(CODCr)的影响。信江流域的景观组成对CODMn、氨氮、TN、CODCr浓度存在显著影响,耕地和建设用地的面积比例与各项指标浓度间存在显著正相关,林地与各指标浓度存在显著负相关。各项指标在流域上游变化不大,而在流域的下游变化显著。从景观尺度上看,流域景观以少数大斑块为主或同一类型的斑块高度连接时,河流中CODMn、氨氮、TN、CODCr浓度较低,水质较好。从流域类型尺度上看,各类型的景观结构对河流中CODMn、氨氮、TN、CODCr浓度影响不同,建设用地以及耕地的集中大面积彼此相临的连片分布会导致河流中CODMn、氨氮、TN、CODCr等浓度的升高,而林地则表现出相反的效应。     

伊犁地区部分河流的水质标识指数

通过2004 - 2006年对伊犁地区的特克斯河、伊犁河的水质调查及水质标识指数和综合指数(WQI)的计算发现,DO、COD、TN、NH3-N、TP 5项指标在10个断面的空间分布上伊宁市区的2个断面水质最差,在时间上属8月最差,水质主要污染指标的排序依次为TP、TN、COD和NH3-N.     

大通湖主要污染物浓度空间分布及其污染来源解析

为了解大通湖主要污染物TN、TP和NH3-N的空间分布特征及污染来源,于2017年9月对大通湖及周边河流进行采样分析。结果表明,大通湖周边入湖河流的ρ(TN)为0. 74～2. 18 mg/L,ρ(NH3-N)为0. 094～0. 874 mg/L,ρ(TP)为0. 02～0. 243 mg/L;湖体ρ(TN)为0. 82～1. 47 mg/L,呈现湖体中间低、四周高的特征,ρ(NH3-N)为0. 14～0. 42 mg/L,但整体差异较大,高值区主要在大通湖西南及东部,ρ(TP)为0. 160～0. 289 mg/L,水质为Ⅴ类或劣Ⅴ类,TP为湖体的主要污染物,湖体的ρ(TP)变化呈现出从四周向中部增加的趋势,高值区主要集中在大通湖正南及湖心处;根据2016年大通湖区域污染源统计及入湖污染物计算,大通湖水环境的TP污染负荷大小排序为农田径流畜禽养殖生活污水工业污染网箱养鱼旅游服务。     

镇江合流制管网受纳水体现状分析与评价

为了研究镇江合流制管网受纳水体污染状况,对古运河市区段5个主要断面进行监测,在水环境评价预测的基础上,利用单因子评价法,以对水体环境质量影响较大的CODCr、BOD5、TP、NH3-N作为评价因子,以地表水环境质量标准为依据,研究受纳水体污染程度,对地表水环境质量予以分级。结果显示,镇江市古运河监测断面在平水期、丰水期和枯水期水体均为V类,主要污染物为CODCr、BOD5、TP和NH3-N。     

城市河流水质参数空间变异性研究——以苏南某市为例

基于现场的采样数据,结合河流自身特点,应用地质统计学的理论和方法分析了苏南某城市河流水质参数的空间变异规律及其原因。研究结果表明,根据变差函数模型分析,发现研究区河流3个水质参数在一定范围内存在空间相关性;研究区河流的CODMn呈现中南部较高,其他部位相对均匀的趋势,CODMn的空间变异性主要是由居民的日常活动及河道的自身特点引起;研究区河流的TP和NH3-N含量严重超标,水体富营养化程度严重。TP和NH3-N的空间变异性相似,含量较高区域集中在研究区的西南部、东南部和东北部,其空间变异性主要由工业活动和居民日常生活共同作用引起,其中工业活动占主导作用。     

基于非参数检验的水质变化趋势分析

综合应用Mann Kendall（M K）、季节性Kendall(S K)非参数检验方法和局部加权回归散点平滑法（LOWESS）分析东江流域长时间尺度（16 a）和短时间尺度（5 a）水质变化趋势,解析流量与点面源污染对水质指标变化的贡献。结果表明：东江干流DO呈明显下降趋势,TN呈明显上升趋势;二级支流淡水河整治成效显著,水质呈明显改善趋势。流域中上游水体耗氧有机物相对稳定且水平较低,而下游存在较大量耗氧有机物排放。S K检验有利于发现不同月份水情影响下的水质变化,检验出东江干流NH3-N呈明显下降趋势。M K（LOWESS）模型有利于解析各水质指标受上游集雨区汇水过程和点面源污染影响情况。     

Measuring reactive nitrogen emissions from point sources using visible spectroscopy from aircraft

Accurate measurements of nitrogen dioxide (NO2), a key trace gas in the formation and destruction of tropospheric ozone, are important in studies of urban pollution. Nitrogen dioxide column abundances were measured during the Texas Air Quality Study 2000 using visible absorption spectroscopy from an aircraft. The method allows for quantification of the integrated total number of nitrogen dioxide molecules in the polluted atmosphere and is hence a useful tool for measuring plumes of this key trace gas. Further, we show how such remote-sensing observations can be used to obtain information on the fluxes of nitrogen dioxide into the atmosphere with unique flexibility in terms of aircraft altitude, and the height and extent of mixing of the boundary layer. Observations of nitrogen dioxide plumes downwind of power plants were used to estimate the flux of nitrogen oxide emitted from several power plants in the Houston and Dallas metropolitan areas and in North Carolina. Measurements taken over the city of Houston were also employed to infer the total flux from the city as a whole.     

Fruit Stones from Industrial Waste for the Removal of Lead Ions from Polluted Water

Lead, one of the earliest metals recognized and used by humans, has a long history of beneficial use. However, it is now recognized as toxic and as posing a widespread threat to humans and wildlife. Treatment of lead from polluted water and wastewater has received a great deal of attention. Adsorption is one of the most common technologies for the treatment of lead-polluted water. This technique was evaluated here, with the goal of identifying innovative, low-cost adsorbent. This study presents experiments undertaken to determine the suitable conditions for the use of peach and apricot stones, produced from food industries as solid waste, as adsorbents for the removal of lead from aqueous solution. Chemical stability of adsorbents, effect of pH, adsorbents dose, adsorption time and equilibrium concentration were studied. The results reveal that adsorption of lead ions onto peach stone was stronger than onto apricot stone up to 3.36% at 3 h adsorption time. Suitable equilibrium time for the adsorption was 3–5 h (% Pb adsorption 93% for apricot and 97.64% for peach). The effective adsorption range for pH in the range was 7–8. Application of Langmuir and Freundlich isotherm models show high adsorption maximum and binding energies for using these adsorbents for the removal of lead ions from contaminated water and wastewater.     

Modelling Tracer Dispersion from Landfills

Several wind tunnel experiments of tracer dispersion from reduced-scale landfill models are presented in this paper. Different experimental set-ups, hot-wire anemometry, particle image velocimetry and tracer concentration measurements were used for the characterisation of flow and dispersion phenomena nearby the models. The main aim of these experiments is to build an extensive experimental data set useful for model validation purposes. To demonstrate the potentiality of the experimental data set, a validation exercise on several mathematical models was performed by means of a statistical technique. The experiments highlighted an increase in pollutant ground level concentrations immediately downwind from the landfill because of induced turbulence and mean flow deflection. This phenomenon turns out to be predominant for the dispersion process. Tests with a different set-up showed an important dependence of the dispersion phenomena from the landfill height and highlighted how complex orographic conditions downwind of the landfill do not affect significantly the dispersion behaviour. Validation exercises were useful for model calibration, improving code reliability, as well as evaluating performances. The Van Ulden model proved to give the most encouraging results.     

Methane emission from naturally ventilated livestock buildings can be determined from gas concentration measurements

Determination of emission of contaminant gases as ammonia, methane, or laughing gas from natural ventilated livestock buildings with large opening is a challenge due to the large variations in gas concentration and air velocity in the openings. The close relation between calculated animal heat production and the carbon dioxide production from the animals have in several cases been utilized for estimation of the ventilation air exchange rate for the estimation of ammonia and greenhouse gas emissions. Using this method, the problem of the complicated air velocity and concentration distribution in the openings is avoided; however, there are still some important issues remained unanswered: (1) the precision of the estimations, (2) the requirement for the length of measuring periods, and (3) the required measuring point number and location. The purpose of this work was to investigate how estimated average gas emission and the precision of the estimation are influenced by different calculation procedures, measuring period length, measure point locations, measure point numbers, and criteria for excluding measuring data. The analyses were based on existing data from a 6-day measuring period in a naturally ventilated, 150 milking cow building. The results showed that the methane emission can be determined with much higher precision than ammonia or laughing gas emissions, and, for methane, relatively precise estimations can be based on measure periods as short as 3 h. This result makes it feasible to investigate the influence of feed composition on methane emission in a relative large number of operating cattle buildings and consequently it can support a development towards reduced greenhouse gas emission from cattle production.     

Phytoremediation facilitates removal of nitrogen and phosphorus from eutrophicated water and release from sediment

Phosphorus (P) fractions and the effect of phytoremediation on nitrogen and phosphorus removal from eutrophicated water and release from sediment were investigated in the eco-remediation experiment enclosures installed in the Hua-jia-chi pond (Hangzhou city, Zhejiang province, China). The main P fraction in the sediment was inorganic phosphorus (IP). For the mesotrophic sediments, IP mainly consisted of HCl-extractable P (Ca-P). The annual-average concentration of total nitrogen (TN), total phosphorus (TP) in water and the content of TN, TP in different vertical depth of sediment in the experiment enclosures with hydrophyte were always much lower than those in the control enclosure without hydrophyte and those outside of experiment enclosures. It is suggested that phytoremediation was an effective technology for N and P removal from eutrophicated water and release from sediment.     

Methane emissions from natural wetlands

Methane is considered one of the most important greenhouse gases in the atmosphere. Because of the strict anaerobic conditions required by CH₄-generating microorganisms, natural wetland ecosystems are one of the main sources of biogenic CH₄. The total natural wetland area is estimated to be 5.3 to 5.7 × 10¹² m², making up less than 5% of the Earth's land surface. However, natural wetland plays a disproportionately large role in CH₄ emissions. Wetlands are likely the largest natural sources of CH₄ to the atmosphere, accounting for about 20% of the current global annual emission. Out of the total amount of CH₄ emitted, northern wetlands contribute 34%, temperate wetlands 5%, and tropical systems about 60%.Because of the unique characteristics and high productivity, wetland ecosystems are important in the global carbon cycle. Natural wetlands are permanently or temporarily saturated. Strict anaerobic conditions consequently develop, which allows methanogenesis to occur. But the thin oxic layer and the oxic plant rhizophere promote activity of CH₄-oxidizing bacteria or methanotrophs. Thus, both CH₄ formation and consumption in wetland systems are microbiological processes and are controlled by many factors. Eight of the controlling factors, including carbon supply, soil oxidation-reduction status, pH, temperature, vegetation, salinity and sulfate content, soil hydrological conditions and CH₄ oxidation are discussed in this paper.     

Exploring the effect of air pollution on settlement intentions from migrants: Evidence from China

Based on the China Migrants Dynamic Survey (CMDS) from 2015 to 2017, this paper uses IV-Probit model to investigate the effects of air pollution on migrants' settlement intentions in China. The results show that: First, air pollution has a significant and negative effect on intentions in settling down of the migrants. Specifically, when the concentration of PM_2.5 increases by 1 μg/m³, the probability of migrants settling down in the city which they have moved to for work or business will significantly decrease by 1.89%. Second, there is heterogeneity in the effects of air pollution on migrants' settlement intentions. In detail, the sensitivity to air pollution is higher among female groups, who have higher education levels and prefer better air quality in the living place to settle down, and there is an inverted U-shaped relationship between age and settlement intentions. On the one hand, the conclusion of this paper enriches the relevant theoretical achievements of air pollution and migration. On the other hand, it also has a high reference value for developing more reasonable policies related to urban environmental governance and labor mobility.     

Mercury accumulation in fish species from the Persian Gulf and in human hair from fishermen

Total and methylmercury concentrations were assessed in muscle and liver of 141 fish samples from the northern part of the Persian Gulf. All fish samples belonged to five different species: grunt, flathead, greasy grouper, tiger-tooth croaker, and silver pomfret. In addition, Hg and methylmercury were analyzed in scalp hair of 19 fishermen living in the same coastal stations of the Persian Gulf and consuming several fish meals a week. Total mercury concentrations in fish muscle and liver ranged from 0.01 to 1.35 μg g^???1 w.w. and from 0.02 to 1.30 μg g^???1 w.w., respectively. In fish muscle, 3% of the Hg concentrations were higher than 0.5 μg g^???1 w.w., which corresponds to the maximum acceptable WHO level, while 9% were in the range of polluted fish (between 0.3 and 0.5 μg g^???1 w.w.). The highest mercury concentrations in fish muscle were observed in flathead fish at Abadan (average of 0.68 μ g g^???1 w.w.). Methylmercury fractions in fish muscle and liver amount to 34–99% (median 64%) and 24–70% (median 43%), respectively. The mean total Hg concentration in the fishermen’s scalp hair amounted to 2.9 ± 2.2 μ g g^???1, with 68% in the form of methylmercury. Ninety-five percent of the Hg levels in the fishermen’s hair were below 10 μ g g^???1, which is the WHO warning limit. In addition, relationships between the mercury levels in hair, on the one hand, and exposure-related factors such as Hg levels in specific fish species, regional differences, and number of fish meals, on the other hand, are discussed. It appears that a significant correlation for example exists between Hg levels human hair and fish muscle or human hair and age and that mean mercury levels in fish muscle and human hair decreased from western (Abadan) to eastern (Abbas port) coastal sites.     

Volatile organic compounds (VOCs) emitted from materials collected from buildings affected by microorganisms

In this study mould damaged materials, including carpet, concrete, gypsum board, insulation, plastic, sand and wood, from 20 different buildings with moisture problems were collected. To study emissions from these materials both conventional methods for sampling, such as collection on Tenax TA, were used as well as complementary methods for sampling a wider spectrum of compounds, such as more volatile VOCs, amines and aldehydes. Analysis was carried out using gas chromatography and high-performance liquid chromatography. Mass spectrometry was used for identification of compounds. Alcohols and ketones were almost exclusively emitted from the materials after they had been wet for a week. Acids were also emitted in large quantities from wet gypsum board and plastic. No primary or secondary amines could be identified, but two tertiary amines, trimethylamine and triethylamine, were emitted from sand contaminated by Bacillus. The most common moulds found were Penicillium and Aspergillus. A multivariate method (partial least squares, PLS) was used to investigate the emission patterns from the materials. Materials with bacterial growth had a different VOC profile to those with only mould growth.