Large-scale sediment and phosphorus transport in the Three Gorges Reservoir based on a new reservoir operation method.

Change of hydrodynamic conditions is a key factor inducing sedimentation, water eutrophication and algal blooms in the Three Gorges Reservoir (TGR). How to mitigate sedimentation and phosphorus (P) retention by improving hydrodynamic conditions in the Three Gorges Reservoir area (TGRA) is an urgent issue in the study of sediment and water environment. In this study, a Hydrodynamic-Sediment-Water quality model for the whole TGRA is proposed considering sediment and P inputs from numerous tributaries, and a new reservoir operation method namely the tide-type operation method (TTOM) is used to investigate the large-scale sediment and P transport in the TGR based on the model. Results indicate that the TTOM can reduce sedimentation and total phosphorus (TP) retention in the TGR. Compared with the actual operation method (AOM), sediment outflow and sediment export ratio (Eratio) of the TGR increased about 17.13% and 1%-3% in 2015-2017, and sedimentation decreased about 3% under the TTOM. TP retention flux and retention rate (RE) decreased about 13.77% and 2%-4%. The flow velocity (V) and sediment carrying capacity (S*) increased about 40% in the local reach. Larger daily water level fluctuation at dam site is more conducive to reducing sedimentation and TP retention in the TGR. Sediment inputs from the Yangtze River, Jialing River, Wu River and other tributaries account for 59.27%, 11.21%, 3.81% and 25.70% of the total sediment inflow during 2015-2017, and TP inputs were 65.96%, 10.01%, 17.40% and 6.63%. In the paper, an innovative method is proposed to reduce sedimentation and P retention in the TGR under the given hydrodynamic conditions and related quantitative contribution driven by the proposed method is analyzed. The work is favorable for expanding the understanding of the hydrodynamic and nutrition flux changes in the TGR, and provides a new perspective for water environment protection and reasonable operation of large reservoirs.

Identifying critical regions for nitrogen and phosphorus loss management in a large-scale complex basin: The Jialing River.

The determination of critical management areas for nitrogen (N) and phosphorus (P) losses in large-scale basins is critical to reduce costs and improve efficiency. In this study, the spatial and temporal characteristics of the N and P losses in the Jialing River from 2000 to 2019 were calculated based on the Soil and Water Assessment Tool (SWAT) model. The trends were analyzed using the Theil-Sen median analysis and Mann-Kendall test. The Getis-Ord Gi* was used to determine significant coldspot and hotspot regions to identify critical regions and priorities for regional management. The ranges of the annual average unit load losses for N and P in the Jialing River were 1.21-54.53 kg ha-1 and 0.05-1.35 kg ha-1, respectively. The interannual variations in both N and P losses showed decreasing trends, with change rates of 0.327 and 0.003 kg ha-1·a-1 and change magnitudes of 50.96% and 41.05%, respectively. N and P losses were highest in the summer and lowest in the winter. The coldspot regions for N loss were clustered northwest of the upstream Jialing River and north of Fujiang River. The coldspot regions for P loss were clustered in the central, western, and northern areas of the upstream Jialing River. The above regions were found to be not critical for management. The hotspot regions for N loss were clustered in the south of the upstream Jialing River, the central-western and southern areas of the Fujiang River, and the central area of the Qujiang River. The hotspot regions for P loss were clustered in the south-central area of the upstream Jialing River, the southern and northern areas of the middle and downstream Jialing River, the western and southern areas of the Fujiang River, and the southern area of the Qujiang River. The above regions were found to be critical for management. There was a significant difference between the high load area for N and the hotspot regions, while the high load region for P was consistent with the hotspot regions. The coldspot and hotspot regions for N would change locally in spring and winter, and the coldspot and hotspot regions for P would change locally in summer and winter, respectively. Therefore, managers should make specific adjustments in critical regions for different pollutants according to seasonal characteristics when developing management programs.

Integrating pharmacokinetics and network pharmacology to identify and validate targets of Guben Xiaozhen prescription for the treatment of chronic urticaria.

ETHNOPHARMACOLOGICAL RELEVANCE: Guben Xiaozhen prescription (GXP), a prescription of traditional Chinese medicine, has been used to treat skin diseases for a long history and achieved satisfactory therapeutic effects. However, its active ingredients and targets remain to be further elucidated. AIM OF THIS STUDY: Identify activity ingredients of GXP for the treatment of chronic urticaria (CU) and further validate the efficacy and targets of the selected component. MATERIALS AND METHODS: Firstly, the pharmacokinetics of different disassemble groups of GXP was investigated to screen for active ingredients with improved bioavailability. Then, shared targets between active ingredients and CU were performed by network pharmacology. Finally, the ovalbumin (OVA) induced CU model was used to verify the efficacy and targets of the screened active ingredient. RESULTS: Pharmacokinetic results showed that, compared with sub-division groups, the maximum concentration (Cmax) and blood concentration-time curve (AUC0-t) of eight ingredients, including 6-shogaol, 6-gingerol, calycosin, dictamnine, fraxinellone, schizandrin, cimifugin, and sec-o-glucosylhamaudol were increased in the GXP group. Then, 218 CU-related targets and 20 shared targets with six potential active compounds were screened by network pharmacology. Further analysis found that fraxinellone was not reported to be associated with CU in the literature. Therefore, the present study employed an OVA-induced CU model and found that fraxinellone could dose-dependently inhibit the locus coeruleus reaction, mast cell degranulation, and pathological skin damage. Moreover, we further verified the ADRB2 and its downstream target caspase3 predicted by network pharmacology, and fraxinellone inhibited the expression of ADRB2 and caspase3 in high dose group, suggesting that fraxinellone may play an anti-CU role by inhibiting inflammation and cell apoptosis. CONCLUSION: In this study, integrated pharmacokinetics and network pharmacology methods were established to screen out six effective active ingredients in GXP for the treatment of CU. This study provides a new idea for screening active substances in traditional Chinese medicine.

[Diversity of Zooplankton and Niche Characteristics of Keystone Species in the Weihe River Based on eDNA].

Environmental DNA(eDNA), a new tool for monitoring the biodiversity of aquatic ecosystems, is able to analyze characteristics of biodiversity from a microscopic perspective. Based on eDNA data collected from the Weihe River, diversity indexes, non-metric multidimensional scaling, cluster analysis, and correlation network analysis were employed to explore the diversity and community structure of zooplankton focusing on the niche differentiation of keystone species and environmental adaptability. The eDNA approach identified three types of zooplankton including Rotifera, Cladocera, and Copepoda, among which the dominant species was Brachionus calyciflorus. The zooplankton community shows significant differences in species composition, abundance, diversity and spatial distribution characteristics(P<0.01). The average values of the Chao1 index, ACE index, Shannon index, and Simpson index were 22.25, 22.38, 2.32, and 0.68, respectively. The downstream biodiversity is significantly higher than in the upstream area. Non-metric multidimensional scale analysis and hierarchical cluster analysis further showed that the zooplankton community structure shows distinct regional differences. The keystone species in the community have a high degree of connection with other species, with a high node degree, centrality, and modularity. The niche breadth(Bi) of the operational taxonomic units(OTUs) of the keystone species varied from 0.38 to 0.80. The medium niche species accounted for 63% of all keystone species. The average niche overlap index(Qik) was 0.72, and the degree of overlap was generally high. RDA analysis further identified that water environmental variables were closely related to changes in the zooplankton community structure and niche differentiation. For example, total nitrogen and water temperature were the main limiting factors, which play important roles in shaping the zooplankton community structure.