UV光解技术在采油（气）田脱水废气处理中的应用

采用UV高效光解净化设备,对采油（气）田TEG脱水工艺产生的废气深度净化、脱臭,其净化效率达99%;同时克服了废气成分复杂、浓度高、含水率高、环境温差大、防爆要求高等废气净化方法的限制性难题,并能广泛适用于多种行业的废气净化。     

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.     

江苏省一次典型沙尘污染过程分析

2021年4月16日至4月18日江苏省经历了一次受沙尘影响的重污染过程.本次过程沙源地为蒙古国中南部及中国内蒙古中西部地区,在蒙古气旋后部西北大风影响下,沙尘气团自西北向东南影响了中国多个省市和地区.江苏省自16日起逐渐受到沙尘过程影响,苏北城市ρ(PM10)从凌晨开始迅速升高,浓度最高达569μg/m3,空气质量达严重污染级别.17日,受蒙古气旋后部冷高压带来的偏北风影响,沙尘气团位置明显南移,多数沿江城市PM10开始上升,空气质量达中度污染级别.至17日夜间,本次影响江苏省的沙尘过程基本结束.沙尘影响期间,江苏各市不仅ρ(PM10)浓度快速上升,同时ρ(PM2.5)/ρ(PM10)比值也明显下降,由受沙尘影响前的介于0.60～0.75之间迅速降至介于0.15～0.23之间.     

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。     

回灌运行参数对新鲜垃圾渗滤液的影响研究

采用模拟试验装置考察回灌频率与回灌水力负荷对新鲜垃圾柱渗滤液的影响,试验结果表明:高频率回灌将导致新鲜垃圾柱渗滤液初期酸化阶段的低pH值和甲烷化阶段的高pH值。高水力负荷将导致新鲜垃圾柱渗滤液pH值下降。因此在新鲜垃圾填埋单元自身回灌初期应采取低频率小水力负荷。     

Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

区块链技术在环保领域的应用

近年来,区块链技术快速发展,被广泛应用于多个领域,发挥了不错的成效,比如推动公共服务质量的提升。环保领域中,区块链技术的应用处于探索阶段,还面临着诸多挑战和困难需要加以克服。环保领域对区块链技术的需求很大,若能够切实发挥技术的优势,可有效推动环保事业的发展。现结合具体研究,作如下论述。