The impact of digital finance on green bonds and clean energy sources is analyzed. So, the primary objective of this study is to create a unique time-varying causality test to identify the ...relationship between ecological consciousness and green technology, clean energy, and digital currency. The China region was established using data from 2001 to 2019. A dynamic connection model with spillover is employed to further guarantee stability. The empirical findings reveal that the clean energy to digital finance index (30.544%) and the clean energy to green economy index (30.544%) are the sources for the spillover shocks analysis. because the overall dynamic connection of assets throughout time is affected by financial events. For every additional percentage point that renewable energy sources are employed, long-term environmental costs are lowered by 0.68%. And yet, the transition from renewable energy to digital finance has been characterised by increasing instability and causal significance as it has advanced. The organizational environment is shown to have the second-greatest influence on the growth of the green bond market, behind the state of the local economy and environmental governance. Increasing the marketability of clean energy securities requires stable, predictable legislation that improves our knowledge of the risk profile of these investments.
Rapid and accurate identification and timely protection of crop disease is of great importance for ensuring crop yields. Aiming at the problems of large model parameters of existing crop disease ...recognition methods and low recognition accuracy in the complex background of the field, we propose a lightweight crop leaf disease recognition model based on improved ShuffleNetV2. First, the repetition number and the number of output channels of the basic module of the ShuffleNetV2 model are redesigned to reduce the model parameters to make the model more lightweight while ensuring the accuracy of the model. Second, the residual structure is introduced in the basic feature extraction module to solve the gradient vanishing problem and enable the model to learn more complex feature representations. Then, parallel paths were added to the mechanism of the efficient channel attention (ECA) module, and the weights of different paths were adaptively updated by learnable parameters, and then the efficient dual channel attention (EDCA) module was proposed, which was embedded into the ShuffleNetV2 to improve the cross-channel interaction capability of the model. Finally, a multi-scale shallow feature extraction module and a multi-scale deep feature extraction module were introduced to improve the model's ability to extract lesions at different scales. Based on the above improvements, a lightweight crop leaf disease recognition model REM-ShuffleNetV2 was proposed. Experiments results show that the accuracy and F1 score of the REM-ShuffleNetV2 model on the self-constructed field crop leaf disease dataset are 96.72% and 96.62%, which are 3.88% and 4.37% higher than that of the ShuffleNetV2 model; and the number of model parameters is 4.40M, which is 9.65% less than that of the original model. Compared with classic networks such as DenseNet121, EfficientNet, and MobileNetV3, the REM-ShuffleNetV2 model not only has higher recognition accuracy but also has fewer model parameters. The REM-ShuffleNetV2 model proposed in this study can achieve accurate identification of crop leaf disease in complex field backgrounds, and the model is small, which is convenient to deploy to the mobile end, and provides a reference for intelligent diagnosis of crop leaf disease.
Degradation of the antidepressant venlafaxine by an effective electrocatalytic process, boron-doped diamond (BDD) electrode, was study. The BDD electrode was selected as the anode, and the ...degradation efficiency of venlafaxine under different influencing factors was systematically investigated. The preliminary grasp of the degradation law of venlafaxine by anodic electro-degradation using BDD electrode was obtained. The experimental results showed that the electrochemical oxidation technology using BDD anode can effectively degrade venlafaxine and remove total organic carbon (TOC) from the solution, complete venlafaxine degradation and TOC elimination could be achieved within 30 and 120 min of BDD oxidation process, respectively, and it has good stability and reusability. Increasing the electrolyte concentration (≤0.1 mol/L) and current density (≤100 mA/cm2) within a certain range could accelerate the degradation of venlafaxine. HCO3– and PO43− could inhibit the degradation efficiency of venlafaxine through of competing for free radicals. It is interesting that the presence of Cl− significantly promoted the degradation efficiency of venlafaxine. The results of this study suggest that the Electro-degradation treatment may provide a promising way to treat venlafaxine contaminated water.
This study has focused on the evaluation of the biotoxicity controlling effects during the TBBPA degradation by ozonation, including the acute, chronic and genetic toxicity under different O3/TBBPA ...(1:1–11:1), initial solution pH (5.0–9.0) and temperatures (10–40 °C). In addition, the comprehensive biotoxicity of the treated water sample was evaluated by the method of potential ecotoxic effects probe (PEEP). The results showed that TBBPA could be completely degraded with an initial solution pH of 7.0, temperature of 25 °C and an O3/TBBPA ratio of 9:1. The chronic toxicity of the untreated sample was as high as 41.7 TU, which represented the main toxicity of TBBPA itself. In contrast, the TBBPA showed a much lower acute and genetic toxicity in this study. During the process of TBBPA degradation, the ozonation could effectively control the toxicity of wastewater and showed strong adaptability. When the ratio of O3/TBBPA was 11:1, the acute and chronic toxicity were reduced to 0.02 TU and 0.76 TU, respectively, with the controlling rates being as high as 96% and 98.2% and meeting the emission standards. The mutagenicity ratio of the water sample was less than 2.0, indicating no genotoxicity risk. The evaluation of the comprehensive biological toxicity showed that ozonation could control the PEEP value below 2.0 in ranges of low O3/TBBPA ratio (3:1), wide pH (5–9) and temperatures (10–40 °C).
To evaluate the physiological responses of Korshinsk peashrub (
Kom.) to water deficit, photosynthetic gas exchange, chlorophyll fluorescence, and the levels of superoxide anion (O
), hydrogen ...peroxide (H
O
), malondialdehyde (MDA), antioxidant enzymes, and endogenous hormones in its leaves were investigated under different irrigation strategies during the entire growth period. The results showed that leaf growth-promoting hormones were maintained at a higher level during the stages of leaf expansion and vigorous growth, and zeatin riboside (ZR) and gibberellic acid (GA) gradually decreased with an increase in water deficit. At the leaf-shedding stage, the concentration of abscisic acid (ABA) dramatically increased, and the ratio of ABA to growth-promoting hormones increased to a high level, which indicated that the rate of leaf senescence and shedding was accelerated. At the stages of leaf expansion and vigorous growth, the actual efficiency of photosystem II (PSII) (Φ
) was downregulated with an increment in non-photochemical quenching (
) under moderate water deficit. Excess excitation energy was dissipated, and the maximal efficiency of PSII (
/
) was maintained. However, with progressive water stress, the photo-protective mechanism was inadequate to avoid photo-damage;
/
was decreased and photosynthesis was subject to non-stomatal inhibition under severe water deficit. At the leaf-shedding stage, non-stomatal factors became the major factors in limiting photosynthesis under moderate and severe water deficits. In addition, the generation of O
and H
O
in the leaves of
was accelerated under moderate and severe water deficits, which caused an enhancement of antioxidant enzyme activities to maintain the oxidation-reduction balance. However, when the protective enzymes were insufficient in eliminating excessive reactive oxygen species (ROS), the activity of catalase (CAT) was reduced at the leaf-shedding stage. Taken all together,
has strong drought resistance at the leaf expansion and vigorous growth stages, but weak drought resistance at the leaf-shedding stage.
Green pepper (Capsicum annuum L.) is one of the major vegetables cultivated in sub-tropical monsoon climate regions. However, with the unreasonable use of water and nitrogen (N) fertilizer, efficient ...water and N fertilizer management systems need to be identified. The goal of this project was to investigate the coupling effects of different amounts of water and N on green pepper yield, water use efficiency (WUE), as well as N use efficiency (NUE) in sub-tropical monsoon climate regions. The optimum combination of water and N inputs was determined for multi-objective optimization through the multiple regression analysis and the combinations of likelihood functions. The pot experiment was conducted during the green pepper growing seasons (May–September) of 2019 and 2020 in a greenhouse at Nanchang, Jiangxi of China that included three water deficit levels, i.e., mild deficit (W1: 95~80%θFC, %θ field capacity simplified as %θFC), moderate deficit (W2: 80~65%θFC), and severe deficit (W3: 65~50%θFC), and four levels of nitrogen application (Napp) rate, i.e., 6.0 (N1), 3.0 (N2), 1.5 (N3), and 0.0 g plant−1 (N4), for a total of twelve treatments (i.e., 3 × 4) with six replications. Results show that water levels have an extremely significant effect (p < 0.01) on green pepper yield and WUE, but no effect on NUE (p > 0.05). N treatments have significant effects on green pepper yield, WUE, and NUE. Meanwhile, the effects of water levels and N treatment interaction on WUE and NUE were extremely significant (p < 0.01), but varied on yield between the two years. The maximum yields (576.26 and 619.00 g plant−1) occurred when the water level and Napp rate were 80~65%θFC and 6.0 g plant−1. While the water level and Napp rate were 80~65%θFC and 3.0 g plant−1, the WUEs and NUEs reached the maximum, which were 20.14 and 17.71 g L−1, 76.54, and 77.73 g−1 in 2019 and 2020. The dualistic and quadric regression equations of irrigation amount and Napp rate indicated that the yield, WUE and NUE cannot reach the maximum at the same time. By establishing a multiobjective optimization model using combinations of likelihood functions, it was concluded that the water level shall be controlled in 80~65%θFC and the Napp rate is 3.78 g plant−1, which can be used as the suitable strategy of water and N management for the maximum comprehensive benefits of yield, WUE, and NUE for green pepper. The obtained optimum combination of water and N inputs can provide a scientific basis for irrigation and fertilization optimization and management in sub-tropical monsoon climate regions.
In this study, the degradation of bisphenol A (BPA) by ozonation was studied systematically by investigating the effects of different factors, including ozone dosages (0.25–1.50 mg/L), temperatures ...(10–50°C), initial solution pH (3.0–11.0) and interfering ions. The reaction kinetics were analyzed at the same time. In addition, the generation of intermediates was analyzed and the possible mechanism was proposed by combining with the density functional theory (DFT) calculation. At last, the variation and controlling effect of toxicity was also evaluated. The results showed that ozonation had a stronger degrading ability of BPA (1.0 mg/L). A complete removal efficiency was obtained within 10 min when dosing only 1.0 mg/L ozone. The BPA degradation reactions were well fitted with pseudo-second-order kinetics and could well adapt with the wide range of pH (3.0–9.0), during which over 91% removal of BPA was achieved. The indirect pathway by •OH oxidation was proved mainly responsible for BPA degradation by the scavenging and electron paramagnetic resonance experiments. HCO
3
−
, NH
4
+
and humic acid showed a certain inhibiting effect. Fe
3+
and Cu
2+
played a catalytic role on BPA degradation. The DFT calculation has identified that the active regions of BPA was focused at C6, C4, C5 and C1 in terms of radical and electrophilic attack. Thus, combining the results of DFT with GC/MS-MS detection, two degradation pathways of BPA were proposed. Toxicity evaluation showed that, due to the generation and accumulation of more toxic intermediates, values of T% had a sharp increase at initial stage. However, with ozone dosage increasing to 1.50 mg/L, the toxicity could be effectively controlled much lower (5%) than BPA itself (49%).
•Although much research has been conducted on regulated deficit irrigation, there is little research on the regulated deficit irrigation of apple trees under the special irrigation method of ...surge-root irrigation in the Loess Plateau of China.•The water consumption of apple trees is higher than that of ordinary crops, and the water demand during the different growth periods is inflexible.•The main irrigation method employed in this region is flood irrigation, and the water use efficiency is low.•An appropriate irrigation system is urgently required to improve the water use efficiency of apple trees in this region.•This study investigated the response of the fruit quality, fruit yield, and water use efficiency to regulated deficit irrigation during the different growth stages of apple trees (Malus pumila Mill) in the Loess Plateau of northern China, to determine the optimal water deficit period of apple trees to provide a scientific basis for water management and the precise irrigation of apple trees.
This study investigated the response of the fruit quality, fruit yield, and water use efficiency (WUE) to regulated deficit irrigation (RDI) during the different growth stages of apple trees (Malus pumila Mill) in the Loess Plateau of northern China. Different water deficit treatments were applied in 2016 and 2017 on a field planted with 5-year-old apple trees. The treatments included low (L), moderate (M), and severe (S) water deficit treatments during the bud burst to leafing (I), flowering to fruit set (II), and fruit growth (III) stages. Compared with full irrigation (FI), water deficit treatment during the different growth stages had significant effects on the fruit quality, fruit yield, and WUE of the apple trees. The L and M water deficit treatments during stage III significantly reduced the apple yield by 10.89% and 13.46% in 2016 and 3.66% and 10.10% in 2017, respectively. A water deficit during stage III decreased the single fruit weight, excellent-fruit percentage, and fruit water content by 2.79%–11.31%, 15.24%–20.36%, and 4.26%–10.07%, respectively, and increased fruit firmness, soluble solid content, and soluble reducing sugar content by 12.70%–21.31%, 13.83%–33.60%, and 10.13%–21.48%, respectively. The L and M water deficit treatments applied during stage I resulted in apple quality and yield that were similar to those resulting from the FI treatment, but the WUE was significantly higher in the L and M water deficit treatments than in the FI treatment. The optimal period for water deficit treatment is stage II, during which the highest yield and WUE were found. The L and M treatments during stage II increased the fruit yield by 13.93% and 13.28% in 2016 and 17.94% and 17.13% in 2017, respectively. The WUE of the apple trees was higher with the I I-L and I I-M treatments (greater than 7 kg m−3) than with other treatments. In addition, water deficit treatment during stage II caused a slight increase in fruit firmness and a slight decrease in fruit water content, which produces apples suitable for storage. Single fruit weight, excellent-fruit percentage, and soluble solid and soluble reducing sugar content were significantly improved, making the apples sweeter; thus, a water deficit during stage II had a significant positive effect on apple quality, with the I I-M treatment being optimal and the II-L treatment being second best. The optimal water deficit treatment of the II-M treatment enhances the fruit quality, yield, and WUE of apple trees in water-scarce environments.
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