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Emissions trading schemes (ETS) have been treated as a cost-effective mitigation measure to effectively control carbon emissions. Industrial carbon emission quota allocation is prior to the implementation of ETS. This study takes industrial sectors in China as a case to apportion carbon emission quotas. An informational entropy and multiple-factor mixed weighting allocation model (IEMMA) was established by considering fairness, efficiency, and feasibility from 4 aspects, i.e., emission reduction responsibility, emission reduction potential, emission reduction capacity, and industrial features. The allocation results among industrial sectors present many differences, and averaging a weighting allocation scheme is more feasible than other allocation schemes considering the fairness, efficiency, and feasibility. This study not only advances the existing literature on the issue of sectoral carbon emission quota allocation, but also provides a significant reference for China’s policymaking in ETS implementation.
Over the last 5 decades, runoff from the upstream area of the Yongding River basin has greatly decreased because of changes in the climate and in the intensity of human activities. The Mann-Kendall rank correlation trend test, cumulative anomaly method, and double mass curve of precipitation and runoff were applied to analyse the hydrological sequence trends and altered features in the upstream area of the Yongding River during 1960-2010. The influences of climate change and human activities on changes in runoff were quantitatively assessed using a climate elasticity method based on the Budyko hypothesis. In this paper, the results showed that, on average, runoff in the 3 basins in the upstream area of the Yongding showed a significant (99% confidence level) downward trend. We found that human activities were the main driving factors for the decline in annual runoff in the Yanghe River basin, Sanggan River basin, and upstream area of the Yongding River basin, accounting for 82.04%, 81.51%, and 75.69% of the runoff reduction, respectively, during evaluation period I, and accounting for 77.94%, 72.73%, and 73.37% of runoff reduction, respectively, during evaluation period II. However, the impact of climate variability on runoff gradually increased over time in the 3 basins.
Radioactivity and heavy metal toxicity of multi-metal deposits coexisting with the element uranium (U) could have long-term adverse impacts on soil biological processes and the health of soil ecosystems. Soil enzyme activities are considered bioindicators for assessing soil health. An experiment was designed to investigate invertase and ß-glucosidase activity in multi-metal deposits. Radioactivity and heavy metals were also investigated during this study. Our results showed that the invertase and ß-glucosidase activities were significantly lower in the core mining area than the control area (p<0.05). Activities of the two enzymes decreased with increasing metal concentrations and radioactivity. Cu and Zn showed significant negative effects on ß-glucosidase and invertase activities in a multi-metal deposit at the study site. A significant nonlinear relationship was recorded between soil enzyme activities, radiation dose (R² = 0.71, 0.63; p<0.05), Zn (R² = 0.34, 0.41; p<0.05) and Cu concentrations (R² = 0.46, 0.45; p<0.05). There were turning points at 1 μGy h⁻¹, 250 μg g⁻¹, and 30 μg g⁻¹ for radiation dose, Zn and Cu contents, respectively. The findings could provide more information regarding the toxic effects of radiation and heavy metals on the soil health of multi-metal deposits, which can more precisely guide environmental protection.
In this study, the comparative effects of the two disturbances (aquaculture and water level fluctuations) on macroinvertebrate communities were explored in two waterbodies connected with the reservoir system of Three Gorges Reservoir (TGR) in China. One water body called Gaoyang Bay which suffered organic pollution from intensive aquaculture. Another named Hanfeng Lake, where the effects of water-level fluctuations are obvious. The results showed that aquaculture could significantly affect the chemical forms of nutrients, decrease the α-diversity and increase the β-diversity of macroinvertebrates although the communities in the treatment area in Gaoyang Bay were not fundamentally changed comparing to the control area in the same bay. The densities of macroinvertebrates in the treatment area were significantly lower than that of the control area. The composition of functional feeding groups in the treatment area was close to that in Hanfeng Lake, but obviously different from that in the control area in Gaoyang Bay and the collectors and predators dominated the communities in this control area with the highest percentages. Although water-level fluctuations had negative effects on the communities by decreasing the α-diversity and increasing the β-diversity, which were confirmed by the values of Simpson index, Shannon-Wiener index and Harrison's index in the control area of Gaoyang bay and Hanfeng Lake, the adverse effects were relative low compared to aquaculture. In the bays of TGR, the small-scale disturbance (aquaculture activities) had more significant negative effects compared to the big-scale disturbance (water-level fluctuations related to dam operation of TGR).
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