垃圾填埋场稳定化及其研究现状

文章对直埋场稳定化过程进行了初步描述,并从填埋气、渗滤液、垃圾组成和沉降等４个方面总结了填埋场稳定化的研究现状。     

Environmental deterioration of farmlands caused by the irrational use of agricultural technologies

Without considering the ecosystem-dependence of agricultural production, irrational use of agricultural technologies could bring only short-term economic benefits but leave long-term environmental deterioration. If some agricultural lands have to be abandoned because of these technologies such as chemical films or groundwater depletion, it will aggravate the burden of remaining lands for maintaining or enhancing production. Thus, agricultural production should be a part of public services, requiring the consideration of interests of different stakeholders and sustainability.     

广东坡地红壤颗粒组成状况的研究──Ⅱ.土壤颗粒组成的空间分异

讨论了广东坡地红壤类土壤颗粒组成的空间分异现象,阐述了岩性、地形条件、水文动力学对颗粒组成空间分布的影响,指出地形条件、水动力学作用对广东坡地红壤类土壤颗粒组成的影响,在很大程度上是由广东所处区域的生物气候条件决定的。     

南亚热带丘陵土壤水分循环及其有效性的研究──Ⅳ.丘陵土壤贮水量的增减规律

根据三年定位实测资料,阐述0～100cm土层贮水量的动态变化,分析土壤贮水增减与降雨、蒸发的关系．观测结果表明,在气候正常年,雨季土壤贮水为增量,旱季土壤贮水为减量,但在坡地不同坡段和梯地不同梯级,土壤贮水增减有差异。在旱月土壤贮水减至最低,仅相当子田间持水量的55％～80％．因此在土壤水分管理上．应当密切注意土壤贮水减量最大的时期,以采取有效措施减少土壤水分蒸发,提高土壤水分利用率。     

南亚热带丘陵土壤水分循环及其有效性的研究──Ⅷ.丘陵赤红壤水分循环与平衡数学模型

依据田间实测资料,在分析丘陵赤红壤水分性质的基础上,建立了土壤有效含水量与土壤物理粘粒含量之间的数学模型、土壤水分特征曲线数学模型、土壤月均贮水量与月降雨总量之间的数学模型和径流率与土壤表层初始含水量之间的数学模型,研究了土壤水分循环与平衡数学模型及各分量与参数的确定方法.     

利用电泳萃取技术从有机溶液中回收染料

本文以正丁醇作为有机溶剂,水作为萃取剂,依据染料在两相体系中的分配关系,选择了几种油溶性较好的染料,实验研究了电泳萃取过程所能达到的萃取效果及电压、两相流速变化对萃取率及传质通量的影响。实验结果表明,萃取率和传质通量随电压的增大而增大,在施加足够大的电压的情况下,萃取率可达９０％以上,有机相流速改变对驻效果有显著影响,有机相流速增大萃取率减小,传质通量可能存在极大值,水相流速改变对萃取效果影响不大     

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

• A spectral machine learning approach is proposed for predicting mixed antibiotic. • Pretreatment is far simpler than traditional detection methods. • Performance of the model is compared in different influencing factors. • Spectral machine learning is promising in the detection of complex substances. Antibiotics are widely used in medicine and animal husbandry. However, due to the resistance of antibiotics to degradation, large amounts of antibiotics enter the environment, posing a potential risk to the ecosystem and public health. Therefore, the detection of antibiotics in the environment is necessary. Nevertheless, conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation, which impose considerable time and economic costs. In this paper, we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning. With the help of a modified spectrometer, a large number of characteristic images were generated to map antibiotic information. The relationship between characteristic images and antibiotic concentrations was established by machine learning model. The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model. The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment. The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies.     

Improving protected area effectiveness through consideration of different human-pressure baselines

Previous assessments of the effectiveness of protected areas (PAs) focused primarily on changes in human pressure over time and did not consider the different human-pressure baselines of PAs, thereby potentially over- or underestimating PA effectiveness. We developed a framework that considers both human-pressure baseline and change in human pressure over time and assessed the effectiveness of 338 PAs in China from 2010 to 2020. The initial state of human pressure on PAs was taken as the baseline, and changes in human pressure index (HPI) were further analyzed under different baselines. We used the random forest models to identify the management measures that most improved effectiveness in resisting human pressure for the PAs with different baselines. Finally, the relationships between the changes in the HPI and the changes in natural ecosystems in PAs were analyzed with different baselines. Of PAs with low HPI baselines, medium HPI baselines, and high HPI baselines, 76.92% (n=150), 11.11% (n=12), and 22.86% (n=8) , respectively, showed positive effects in resisting human pressure. Overall, ignoring human-pressure baselines somewhat underestimated the positive effects of PAs, especially for those with low initial human pressure. For PAs with different initial human pressures, different management measures should be taken to improve effectiveness and reduce threats to natural ecosystems. We believe our framework is useful for assessing the effectiveness of PAs globally, and we recommend it be included in the Convention on Biological Diversity Post-2020 Strategy.     

Effect of cadmium on nodulation and N2-fixation of soybean in contaminated soils

The effects of cadmium stress on nodulation, N2-fixation capabilities of the root nodule, the change in ultrastructure of the root nodule, soybean growth, and the distribution of cadmium in plants were studied. The results obtained show that the nodulation of soybean roots was greatly inhibited by the addition of Cd, especially at the addition level of 10 and 20 mg kg(-1) soil. The inhibition of plant growth, especially the root growth, increased as the cadmium concentration increased, with deleterious effects observed for the roots. The weight ratio of soybean root/leaf decreased as the Cd concentration increased, which might explain the reason for nodulation decreases. The results also indicate that N2-fixation of root nodule was stimulated to some extent at the low levels of Cd addition, but decreased sharply with further increase of the Cd concentration. High Cd levels were also associated with changes in the ultrastructure of root nodule, in which the effective N2-fixing area was reduced and the N2-fixing cells in the area also reduced. In addition, the results also reveal that the content of Cd in different parts of the plants was as follows: roots > stems > seeds, indicating that the accumulation of Cd by roots is much larger than that by any other part of the soybean plant, and might cause deleterious effects to root systems.     

我国粮食生产布局变化特点及其成因分析

建国以来,我国粮食生产呈波浪型上了四个台阶,粮食总产量分别达到２亿ｔ、３亿ｔ、４亿ｔ、ｔｗｎ ｔ。总的来说,粮食产量呈现超伏涨落但缓慢上升的趋势。过去５０年,我国的粮食生产及布局发生了巨大的变化。首先,粮食增长逐渐由以前的单产和总产并重转变为以提高单为主。其次,粮食结构也发生了变化,很长一段时间,我国的粮食增长主要信赖于水稻增产,８０年代以后,水稻在粮食生产中的比重迅速下降,而小麦和玉米所占比重帽