秦岭若干重要类型金矿床(体)快速定位预测

本文以西部秦岭地区八卦庙、双王、煎茶岭 3种重要类型金矿床为例 ,在成矿地质背景研究基础上 ,开展若干新方法新技术的找矿试验 ,研究发现 ,八卦庙式金矿岩石的烃含量与其金品位大致成正相关关系 ;而且金矿化强度和规模越大 ,相关系数值也越大 ;据此根据石英脉的烃含量对隐伏金矿床 (体 )和金矿化规模进行预测。双王式金矿原生晕的前缘晕元素为B、As、Sb、Hg,近矿晕元素为Au、Ba(-) ,尾晕元素为Mn、Bi。通过原生叠加晕垂向研究预测 ,双王和八卦庙金矿床现有的金矿体向下延伸还较大 ,在矿床的深部存在有盲矿体。煎茶岭式金矿的矿石铅同位素平均值比围岩要小 ,铅同位素曲线的低峰区往往就指示矿体所在 ;预测区的2 0 6Pb/ 2 0 4 Pb、2 0 8Pb/ 2 0 4 Pb比值变差椭圆图的形状和轴向斜率与已知矿区趋于一致 ,并且两者的变差椭圆图形大部分重叠 ,说明存在有同类型金矿体。以上研究成果为同期或后来的勘探工作或矿山采矿所验证。     

低纬高原地区城市化对室内外气温的影响

以低纬高原城市昆明市为研究对象,通过比较分析,得出以下结论昆明地区受全球气候变暖影响年平均气温约升高0.5℃/a左右;由于城市面积扩大导致昆明的室内外气温均升高,其中室内气温升高幅度大于室外气温,干季大于雨季;不论是干季还是雨季,城市增温效应与城市建成区面积、城市人口均有较好的相关关系.城市建成区面积增加对平均气温的影响较大;而城市人口增加对平均室内气温的影响较大.城市建成区面积每增加1km2,年平均室内气温将升高0.0054℃;年平均气温升高0.012℃.而城市人口增加1 万人,年平均室内气温升高0.0259℃;年平均气温升高0.0098℃.     

Sharing the geo-Referenced Results of Climate Change Impact Research

The Prairie Adaptation Research Collaborative (PARC) has implemented an Internet Map Server (IMS) at the PARC web site (www.parc.ca) to 1) disseminate the geo-referenced results of PARC sponsored research on climate change impacts and adaptation, and 2) address data, information and knowledge management within the PARC network of researchers and partners. PARC facilitates interdisciplinary research on adaptation to the impacts of climate change in the Canadian Prairie Provinces. The web site is intended as a platform for sharing information and encouraging discussion of climate change impacts and adaptation. The IMS enables scientists and stakeholders to apply simple climate change scenarios to geo-referenced biophysical and social data, and dynamically create maps that display the geographic distribution of potential impacts of climate change. With a limited capacity for spatial analysis, most geo-processing and the climate impact modeling is done offline within a GIS environment. The IMS will serve the output from climate impact models, such that the model results can be customized by the web site user and be most readily applied to the planning and analysis of adaptation strategies.     

Status and Trends of Dissolved Oxygen in Corpus Christi Bay, Texas, U.S.A.

The purpose of this studywas to determine status and long-term trends of dissolved oxygen concentrations (DO) in Corpus Christi Bay, Texas, U.S.A. A 20-year record of randomized stations was used to determine the trend of surface water DO, salinity, and temperature over space and time. A 13-year record of two fixed stations was used to determine the temporal nutrient trends. A 10-year record of fixed stations in the southeastern region of Corpus Christi Bay was used to determine the status of disturbance caused by low DO in bottom waters. From 1982 to 2002, there was a significant decrease in surface water DO at a rate of 0.06 mg L⁻¹ yr⁻¹ and a significant increase in surface water temperature at a rate of 0.07°C yr⁻¹. The southeastern region of Corpus Christi Bay had the lowest average DO, and during July and August, DO are steadily declining at a rate of 0.09 mg L⁻¹ yr⁻¹. It is not likely that eutrophication is causing hypoxia, because freshwater inflow rates have significantly decreased since 1941 and nutrient levels have not changed from 1987 to 2000. Even though long-term trends indicate that average surface DO is decreasing, disturbance by hypoxia appears to be stable, but this may be due to just eight years of data. In fact, if the current trend continues, surface water DO will not meet exceptional aquatic life standards (≤5 mgL⁻¹) in 2032.     

A modular approach to Integrated Assessment modeling

In this paper, we present a new approach to model coupling that probably forms the methodological basis of a new generation of Integrated Assessment models. This approach respects the knowledge and expertise that is embodied in existing models and encourages their gradual evolution. Modularity is the guiding principle. Our approach is distinguished by the way modules are coupled which is based on an interplay of a job control module, a numerical coupling module, and a couple of stand-alone functional modules. The numerical coupling module - the core component - serves to treat the feedbacks between the functional modules. A first implemented example that couples an economic and a climate module by means of a two-phase meta-optimization is presented here. The algorithm and mathematical structure behind are discussed as well as important features such as convergence behavior and reliability.     

Effects of Land Use and Climate Change on Stream Temperature I: Daily Flow and Stream Temperature Projections

Freshwater mussels (order Unionida) are a highly imperiled group of organisms that are at risk from rising stream temperatures (T). There is a need to understand the potential effects of land use (LU) and climate change (CC) on stream T and have a measure of uncertainty. We used available downscaled climate projections and LU change simulations to simulate the potential effects on average daily stream T from 2020 to 2060. Monte Carlo simulations were run, and a novel technique to analyze results was used to assess changes in hydrologic and stream T response. Simulations of daily mean T were used as input to our stochastic hourly T model. CC effects were on average two orders of magnitude greater than LU impacts on mean daily stream T. LU change affected stream T primarily in headwater streams, on average up to 2.1°C over short durations, and projected CC affected stream T, on average 2.1‐3.3°C by 2060. Daily mean flow and T ratios from Monte Carlo simulations indicated greater variance in the response of streamflow (up to 55%) to LU change than in the response of stream T (up to 9%), and greater variance in headwater stream segments compared to higher order stream segments for both streamflow and T response. Simulations indicated that combined effects of climate and LU change were not additive, suggesting a complex interaction and that forecasting long‐term stream T response requires simulating CC and LU change simultaneously.     

Generation of Monthly Precipitation Under Climate Change for the Upper Blue Nile River Basin,Ethiopia1

Abstract: This work develops a methodology to project the future precipitation in large river basins under limited data and climate change while preserving the historical temporal and spatial characteristics. The computationally simple and reliable conditional generation method (CGM) is presented and applied to generate reliable monthly precipitation data in the upper Blue Nile River Basin of Ethiopia where rain‐fed agriculture is prevalent. The results showed that the temporal analysis with the CGM performs better to reproduce the historical long‐term characteristics than other methods, and the spatial analysis with the CGM reproduced the historical spatial structure accurately. A 100‐year time series analysis using the outcomes of the six general circulation models showed that precipitation changes by the 2050s (2040 through 2069) can be ?7 to 28% with a mean increase of about 11%. The seasonal results showed increasing wet conditions in all seasons with changes of mean precipitation of 5, 47, and 6% for wet, dry, and mild seasons, respectively.     

Design and evaluation of a local analytic-deliberative process for climate adaptation planning

In the midst of rapidly proliferating engagement efforts around climate adaptation, attention to the design and evaluation of decision support processes and products is warranted. We report on the development and evaluation of a process framework called the Vulnerability, Consequences, and Adaptation Planning Scenarios (VCAPS) process. VCAPS is a systematic approach to integrate local knowledge with scientific understanding by providing opportunities for facilitated, deliberative learning-based activities with local decision makers about climate change vulnerability and adaptation. We introduce the conceptual basis of the process in analytic-deliberation, hazard management, and vulnerability. Our evaluations from eight coastal communities where the approach was applied point to four assets of VCAPS: it promotes synthesis of local and scientific knowledge; it stimulates systems thinking and learning; it facilitates governance by producing action plans with transparent justifications; and it accommodates participant time constraints and preferences.     

Aboriginal world views and colonisation: implications for coastal sustainability†

In this paper, we show how the Aboriginal people in the south-west of Australia (the Nyungar) developed systems of knowledge, of caring for country and of family relations that enabled them to survive for tens of thousands of years and continue to have importance today. The impacts of British colonisation on cultural continuity and knowledge in the south-west have been significant and include loss of land, break-up of families and massacre. These practices led to a loss of knowledge of language and culture in some cases. However, Nyungar culture is alive and dynamic, constantly being reclaimed, re-energised and rebuilt through the interaction of contemporary and traditional research praxis. Focusing on Derbal Nara (Cockburn Sound) on the coast in the southern metropolitan area of Perth, we provide case examples of the action-research-learning methodologies used by Whadjuk Nyungar Traditional Owners. We also provide examples of stories about Derbal Nara that are still alive and being recounted up to the present day, including those that account for the recent ice age and the end of the ice age 8000 years BC when sea levels rose, drowning land in the area of Derbal Nara. Finally, we argue that Whadjuk Nyungar experiences and world views based on relationality and reflexivity are central to sustainable coastal management and that in some respects there has already been a convergence of Indigenous and Western coastal management. We present a set of principles that support the development of this “third space” for coastal sustainability.     

Influencing climate change regulations: examining responses from large-scale firms

Recent climate change projections and a push towards a universal agreement on carbon emission reductions suggest that firms will need to respond to future regulatory changes. This paper employs an influencing strategies lens to examine how large-scale firms might respond to future climate change regulations. The study uses a structured qualitative methodology to explore and explicate the strategic responses from 21 international firms to the proposed emissions trading scheme outlined in Australia's Garnaut Climate Change Review. The results of the analysis show that firms can use pre-emptive influencing strategies in attempts to shape and mould regulatory design parameters, secure high levels of transitional economic support, and shift the balance of public policies and expenditure. Complementary defensive strategies may also target policy makers and regulators with some of the potential negative consequences of the new regulations.