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The Henan section of the Neihuang Uplift is rich in geothermal resources, with relatively high temperature gradients. However, there has been limited research on the transport mechanism of geothermal fluids in this area. Hydrogeochemical methods, temperature calculations of geothermal reservoirs, and hydrogen-oxygen isotope techniques were utilized to analyze the hydrochemical types, hydrochemical evolution, reservoir temperatures, and deep hot water recharge sources of geothermal waters. The results show as follows. The hydrochemical types of the Neogene geothermal reservoirs are predominantly Cl-Na, while those of the Eogene geothermal reservoirs are mainly Cl-Na and Cl·SO4 -Na types. The Na + and Cl - in geothermal waters primarily originate from the dissolution of minerals, while the dissolution of sodium silicate minerals and the cation exchange adsorption also contribute to the source of some Na+ in geothermal waters. The precipitation-dissolution equilibrium of carbonate, sulfate, and silicate minerals collectively influences the concentrations of Ca 2+ and Mg 2+ . The primary source of replenishment for geothermal waters is atmospheric precipitation, with the replenishment elevation ranging from 789 to 1, 417 meters. Most geothermal waters exhibit δ 18 O shift characteristics, indicating relatively intense water-rock interactions. The main geothermal reservoir temperature ranges from 45 ℃ to 53 ℃, and the circulation depth of geothermal water is between 947 and 2 070 meters. The proportion of cold water mixing is 55. 3% to 66. 5%, and the geothermal reservoir temperature before the cold water mixing is 78. 05 ℃ to 102. 9 ℃ . The geothermal information, including reservoir temperature, sources of geothermal water replenishment, and circulation depth, in the Henan segment of the Neihuang Uplift has been explored, leading to a systematic understanding of the geothermal genesis mechanism in the area. [ABSTRACT FROM AUTHOR]

Copyright of Biology Teaching is the property of East China Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Plateau Meteorology is the property of Plateau Meteorology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Plateau Meteorology is the property of Plateau Meteorology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Hydrogeology & Engineering Geology / Shuiwendizhi Gongchengdizhi is the property of Hydrogeology & Engineering Geology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mountain Research (10082786) is the property of Mountain Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site‐selection biases influence estimates of biodiversity change is largely unknown. Site‐selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site‐selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site‐selection bias. We used a simple spatially resolved, individual‐based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site‐selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site‐selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site‐selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site‐selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site‐selection bias, we recommend use of systematic site‐selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site‐selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data. Article impact statement: Nonsubjective site selection is important for accurate estimation of the direction of biodiversity change. [ABSTRACT FROM AUTHOR]

Copyright of Nuclear Safety is the property of Nuclear & Radiation Safety Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Zhejiang University (Science Edition) is the property of Journal of Zhejiang University (Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The development of species recovery plans requires considering likely outcomes of different management interventions, but the complicating effects of climate change are rarely evaluated. We examined how qualitative network models (QNMs) can be deployed to support decision making when data, time, and funding limitations restrict use of more demanding quantitative methods. We used QNMs to evaluate management interventions intended to promote the rebuilding of a collapsed stock of blue king crab (Paralithodes platypus) (BKC) around the Pribilof Islands (eastern Bering Sea) to determine how their potential efficacy may change under climate change. Based on stakeholder input and a literature review, we constructed a QNM that described the life cycle of BKC, key ecological interactions, potential climate‐change impacts, relative interaction strengths, and uncertainty in terms of interaction strengths and link presence. We performed sensitivity analyses to identify key sources of prediction uncertainty. Under a scenario of no climate change, predicted increases in BKC were reliable only when stock enhancement was implemented in a BKC hatchery‐program scenario. However, when climate change was accounted for, the intervention could not counteract its adverse impacts, which had an overall negative effect on BKC. The remaining management scenarios related to changes in fishing effort on BKC predators. For those scenarios, BKC outcomes were unreliable, but climate change further decreased the probability of observing recovery. Including information on relative interaction strengths increased the likelihood of predicting positive outcomes for BKC approximately 5–50% under the management scenarios. The largest gains in prediction precision will be made by reducing uncertainty associated with ecological interactions between adult BKC and red king crab (Paralithodes camtschaticus). Qualitative network models are useful options when data are limited, but they remain underutilized in conservation. Article Impact Statement: Climate change can alter predicted outcomes of management interventions and qualitative network models can identify risks in data‐limited settings. [ABSTRACT FROM AUTHOR]

Aiming at the complex hydrogeological conditions in the Karst Area and establishing the conceptual model of hydrogeology and the conceptual model of typical tunnel water inrush, the relationship between the recharge, diameter and drainage of Karst groundwater in the project area was studied by analyzing the Karst hydrogeological data in the engineering area of Jiayan deep-buried long diversion tunnel in Guizhou and combining the factors of stratum structure, lithologic association and geomorphological characteristics. On this basis, the response of water inflow to rainfall events under different conditions was analyzed based on the typical water inflow branch tunnels investigated on the spot. It was concluded that the water inflow modes of typical Karst tunnels could be divided into the joint water control mode of fault structure and underground river, the water control mode of Karst pipeline and the water control mode of bedding surface and the corresponding prevention and treatment measures were put forward. The working area grouting blockade measures were adopted to block the bad geological section of the typical No. 1 branch tunnel, which effectively prevented the recurrence of major water inrush events. [ABSTRACT FROM AUTHOR]

Copyright of Polish Journal of Management Studies is the property of Czestochowa University of Technology, Faculty of Management and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Corporate social responsibility information disclosure is becoming a dilemma of most company as well as a highly-focused issue in academia. Current research has answered the questions of what factors have the impact on corporate social responsibility disclosure, but not ones of the mechanisms and entire processes about the corporate social responsibility information disclosure. In this paper, we build a system dynamics model based on the demands and information supplying capacity to study the processes of corporate social responsibility information disclosure and the mechanisms of the factors that influence the disclosure. We consider profit-cost as constrain and take the events of Changjiang River Passenger Liner Sinking alone with Tianjin Tanggu Big Explosion as the cases. We find that it is the expectation of profit-cost, the strategy of information disclosure and the diversity of external stakeholders' learning ability that have caused the differences of corporate social responsibility information disclosure in company. According to the conclusion, we give management advices of improving corporate social responsibility information disclosure for the purpose of promoting the effective communication of corporate social responsibility information between the company and stakeholders. [ABSTRACT FROM AUTHOR]