Assessment of some water quality parameters in the Red River downstream,Vietnam by combining field monitoring and remote sensing method

Environmental Science and Pollution Research - The Red River is the largest river in northern Vietnam, and it serves as the main water source for production and human activities in the Red River...     

Research on the evolution characteristics of future climate change in West Liao River Basin

Environmental Science and Pollution Research - In order to explore the characteristics of climate change in the future in the West Liao River Basin under the background of future climate change,...     

The modelling of trichloroethene photodegradation in Brij 35 surfactant by two-stage reaction.

Various clean-up technologies have been developed for the removal and/or destruction of trichloroethene (TCE) in the subsurface. Surfactant-aided soil washing followed by photodegradation could be a promising approach to such a task. The modelling of TCE photodegradation by UV in Brij 35 surfactant micelles is therefore investigated. Two stages of TCE degradation are observed in surfactant Brij 35 systems. A lag phase is observed at the commencement of the degradation, but the duration of the lag phase is significantly reduced as the initial pH increases. As the overall decay of TCE is also found to be faster at higher pH levels, it is suggested that the free radical reaction is dominant at high pH levels, and the formation of lag phases is mainly due to the deficiency of free radicals at lower pH levels. Since the period of the lag phase gradually decreases with the increase of initial pH level, and the two pseudo first-order reaction constants (one for the lag phase and one for the subsequent fast decay) for TCE decay in both stages are also pH dependent, a non-steady-state mathematical model is developed for the prediction of TCE photodegradation in Brij 35 solutions, in which the remaining fraction of TCE (C/C0) in the system can be determined at any instant by using a simple parameter of the initial system pH.     

我国粮食安全保障中改善农业环境的途径

本文分析了我国粮食安全及粮食持续生产所依托的农业环境状况。从我国粮食生产状况与经济发展水平看,全国粮食生产处于结构性过剩与低水平安全中,区域性粮食安全与不安全并存;耕地资源、水资源以及农民的经济收入状况等均不容乐观,加之自然灾害加重,粮食生产的环境成本将随之增加,这将影响我国未来粮食安全。为此,本文提出了走农业集约化道路是解决我国粮食安全与改善环境的基本途径。     

金属铁离子对农田土壤氮转化影响分析

以长春伊通河河谷阶地上部的农田土为研究对象,选用铁离子作为氮转化的一种影响因素,定性研究了不同浓度的铁离子对硝态氮、亚硝态氮、铵态氮三氮的变化影响。并且在建立方程组之后计算平衡常数,证明了铁的氧化作用,与实验所得相符合：铁促进铵态氮的吸附、促进硝化反应的进行。从实验和理论的角度说明了铁在三氮转化中起的作用,为进一步研究锰铁离子对氮转化的定量影响和氮素污染地下水的预测和定量评价提供科学依据。     

低施磷水平下不同施肥对太湖地区黄泥土磷迁移性的影响

对太湖地区水稻土上长达13年的长期不同施肥处理的某试验田进行了土壤全磷、树脂磷和水溶性磷的测定分析.不同处理的年施磷量为0～53kg/(hm²·a),土壤全磷为0.3～0.5g·k^-1.根据土壤磷素的质量平衡,计算表明该水稻土存在的磷素流失量为2～8kg/(hm²·a),单施化肥下的流失量最大,为配施有机肥处理的2～4倍;水溶性磷的比率在0.2%～0.4%间,且不同施肥实践对其的影响不明显.但单施化肥有使亚表层树脂磷和水溶性磷含量提高的倾向.长期施用化肥配施大量鲜猪粪使树脂磷含量提高20～40 mg·kg^-1,但与长期施用化肥配施秸秆的处理一样没有发生在有机质增加下的磷活化而提高磷流失.这些说明本地区长期单施化肥的水稻土中可能存在强烈的磷流失,且水稻土磷流失并不以水溶解发生.为了防止水稻土磷的强烈水流失而加剧农业非点源污染,要避免长期单施化肥,而应坚持和推广配施适量有机肥.     

洱海地面水环境监测优化布点研究

根据１９８７年以后五年洱海水质监测数据的数理统计分析，选择污染指数大的ｐＨ、ＣＯＤ＿（Ｍｎ）、ＢＯＤ＿５、Ｔ－Ｎ、Ｔ－Ｐ进行单项方差分析，进而再进行灰色关联聚类分析和年际相关分析，确知洱海三个水质监测断面可归于一类。考虑水下地形、湖流、环湖工农业布局，水质监测点优化为两个即可保证其准确性、可控性和代表性。     

Comparison of inclined plate sedimentation and dissolved air flotation for the minimisation of subsequent nitrogenous disinfection by-product formation

The formation of disinfection by-products (DBPs), including both nitrogenous disinfection by-products (N-DBPs) and carbonaceous disinfection by-products (C-DBPs), was investigated upon chlorination of water samples following two treatment processes: (i) coagulation-inclined plate sedimentation (IPS)-filtration and (ii) coagulation-dissolved air flotation (DAF)-filtration. The removal of algae, dissolved organic nitrogen (DON), dissolved organic carbon (DOC) and UV₂₅₄ by coagulation-DAF-filtration was superior to coagulation-IPS-filtration. On average, 53%, 53% and 31% of DOC, DON and UV₂₅₄ were removed by coagulation-DAF-filtration process, which were higher than 47%, 31% and 27% of that by coagulation-IPS-filtration process. Additionally, coagulation-IPS-filtration performed less well at removing the low molecular weight organics than coagulation-DAF-filtration process. The concentrations of chloroform, dichloroacetamide (DCAcAm) and dichloroacetonitrile (DCAN) formed during chlorination after coagulation-DAF-filtration reached their maximum values of 13, 1.5 and 4.7 μg L⁻¹, respectively, and were lower than those after coagulation-IPS-filtration with the maximum detected levels of 17, 2.9 and 6.3 μg L⁻¹. However, the trichloronitromethane (TCNM) concentration after the two processes was similar, suggesting that DON may have less of a contribution to TCNM formation than DCAcAm and DCAN.     

Monitoring and identification of spatiotemporal landscape changes in multiple remote sensing images by using a stratified conditional Latin hypercube sampling approach and geostatistical simulation

This study develops a stratified conditional Latin hypercube sampling (scLHS) approach for multiple, remotely sensed, normalized difference vegetation index (NDVI) images. The objective is to sample, monitor, and delineate spatiotemporal landscape changes, including spatial heterogeneity and variability, in a given area. The scLHS approach, which is based on the variance quadtree technique (VQT) and the conditional Latin hypercube sampling (cLHS) method, selects samples in order to delineate landscape changes from multiple NDVI images. The images are then mapped for calibration and validation by using sequential Gaussian simulation (SGS) with the scLHS selected samples. Spatial statistical results indicate that in terms of their statistical distribution, spatial distribution, and spatial variation, the statistics and variograms of the scLHS samples resemble those of multiple NDVI images more closely than those of cLHS and VQT samples. Moreover, the accuracy of simulated NDVI images based on SGS with scLHS samples is significantly better than that of simulated NDVI images based on SGS with cLHS samples and VQT samples, respectively. However, the proposed approach efficiently monitors the spatial characteristics of landscape changes, including the statistics, spatial variability, and heterogeneity of NDVI images. In addition, SGS with the scLHS samples effectively reproduces spatial patterns and landscape changes in multiple NDVI images.     

Enhanced sludge solubilization by microbubble ozonation

A microbubble ozonation process for enhancing sludge solubilization was proposed and its performance was evaluated in comparison to a conventional ozone bubble contactor. Microbubbles are defined as bubbles with diameters less than several tens of micrometers. Previous studies have demonstrated that microbubbles could accelerate the formation of hydroxyl radicals and hence improve the ozonation of dyestuff wastewater. The results of this study showed that microbubble ozonation was effective in increasing ozone utilization and improving sludge solubilization. For a contact time of 80 min, an ozone utilization efficiency of more than 99% was obtained using the microbubble system, while it gradually decreased from 94% to 72% for the bubble contactor. The rate of microbial inactivation was obviously faster in the microbubble system. At an ozone dose of 0.02 g O₃ g⁻¹ TSS, about 80% of microorganisms were inactivated in the microbubble system, compared with about 50% inactivation for the bubble contactor. Compared to the bubble contactor, more than two times of COD and total nitrogen, and eight times of total phosphorus content were released from the sludge into the supernatant by using the microbubble system at the same ozone dosage. The application of microbubble technology in ozonation processes may provide an effective and low cost approach for sludge reduction.