Description:    High rates of urbanization, environmental degradation, and industrial development have affected all nations worldwide, but in disaster-prone areas, the impact is even greater serving to increase the extent of damage from natural catastrophes. As a result of the global nature of environmental change, modern economies have had to adapt, and sustainability is an extremely important issue. Clearly, natural disasters will affect the competitiveness of an enterprise. This study focuses on natural disaster management in an area in which the direct risks are posed by the physical effects of natural disasters such as floods, droughts, tsunamis, and rising sea levels. On a local level, the potential impact of a disaster on a company and how much damage (loss) it causes to facilities and future business are of concern. Each company must make plans to mitigate predictable risk. Risk assessments must be completed in a timely manner. Disaster management is also very important to national policy. Natural disaster management mechanisms can include strategies for disaster prevention, early warning (prediction) systems, disaster mitigation, preparedness and response, and human resource development. Both governmental administration (public) and private organizations should participate in these programs. Participation of the local community is especially important for successful disaster mitigation, preparation for, and the implementations of such measures. Our focus in this study is a preliminary proposal for developing an efficient probabilistic approach to facilitate design optimization that involves probabilistic constraints. Content Type Journal Article Pages 1-9 DOI 10.1007/s11069-011-9889-2 Authors Chun-Pin Tseng, Chung Shan Institute of Science and Technology, Armaments Bureau, Taoyuan, Taiwan Cheng-Wu Chen, Institute of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung, 80543 Taiwan Journal Natural Hazards Online ISSN 1573-0840 Print ISSN 0921-030X

Description: Global climate change is exerting profound effects on organisms and ecosystems. As resource managers and policymakers must contend with the ongoing and future effects of global climate change, they challenge scientists to predict where, when, and with what magnitude these effects are most likely to occur. By understanding the processes by which human-managed and natural ecosystems respond to a changing climate, and by quantifying levels of confidence in our ability to predict these effects, we may be able to prepare for some of these impacts, a form of adaptation to climate change. Here, we describe how knowledge of physiology can help to inform management decisions. Because physiological tolerance to environmental factors varies between species, there will likely be “winners” and “losers” in the face of climate change. We explore how a failure to consider the details of an organism’s physiology and ecology can hamper efforts to respond proactively to climate change and, conversely, how an understanding of how nonhuman organisms interact with their environment can help to provide a framework for anticipating and preparing for future changes in natural and managed ecosystems. We examine some of the physiological responses of marine organisms to climate change in three examples: thermal stress in marine invertebrates, ramifications of water temperature changes on fish bioenergetics and thus on fish reproduction and growth, and effects of changes in wave forces on damage to corals and kelp. Because factors such as temperature interact with other stressors like overexploitation and pollution to drive patterns of mortality, it may be possible to prevent some damage by reducing the impact of stressors not related to climate change. Methods such as ecological forecasting and the utilization of bioenergetic budgets can be used to help guide future adaptation to climate change by providing forecasts within a probabilistic framework. Author:  Brian Helmuth Lauren Yamane Katharine J. Mach Shilpi Chhotray Phil Levin Sarah Woodin Issue:  Climate change Download:  61_Helmuth Final.pdf

Description: Publication year: 2011 Source: Journal of Hydrology, Available online 25 November 2011 Shahbaz Khan The sample papers collected in this special volume represent the interdisciplinary studies presented at a major international conference that took place in San Diego, USA, October 11 – 13, 2010 in collaboration with UNESCO’s International Hydrological Program (IHP) Hydrology for the Environment Life and Policy (HELP) network and the Elsevier Journal of Hydrology. This conference targeted the emerging interdisciplinary science themes at the interface between hydrology and other scientific disciplines, including climate change, biology, chemistry and social sciences. These subjects are of particular relevance to current global water crisis, since population increases and a changing climate is bringing new pressures on hydrological systems around the world. The papers presented at the conference focused on the following five interdisciplinary themes:•Hydrology and climate change.•Hydrology, bio-geochemistry and environmental management.•Hydrology, health and improved socio-economic conditions.•Hydrology, history and conflicts.•Hydrology: past, present and future developments.This effort has highlighted the need to further focus hydrological research at the interdisciplinary interfaces between biophysical, social and economic sciences to assist with evidence based legislation and policy making in real catchments while empowering stakeholders in pursuit of real answers.

Description:    Water quality criteria (WQC) are threshold limits for pollutants or other hazard factors in the ambient water environment, which are based on scientific experiments and extrapolations. Until now, there is limited information available regarding the study of water quality criteria in China. It is imperative to launch national-level systematic WQC studies that focus on the regional characteristics of China and provide scientific support for the enactment or revision of water quality standards and environmental management. This article reviews the concept of WQC and discusses the methodology and global progress of WQC research. The article also summarizes the key scientific issues in WQC research, including species sensitivity distribution, toxicological endpoint selection, and models selection. Furthermore, we can adopt the derivation method used in the USA and divide WQC into acute and chronic criteria. Finally, considering the current status of WQC research in China, we point out important directions for future national studies, including the selection of native species and the comprehensive use of models. Content Type Journal Article Category Review Pages 882-891 DOI 10.1007/s11430-012-4384-5 Authors ChengLian Feng, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China FengChang Wu, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China XiaoLi Zhao, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China HuiXian Li, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China Hong Chang, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China Journal SCIENCE CHINA Earth Sciences Online ISSN 1869-1897 Print ISSN 1674-7313 Journal Volume Volume 55 Journal Issue Volume 55, Number 6

Description: Purpose   The sensitivity of soil organic carbon to global change drivers, according to the depth profile, is receiving increasing attention because of its importance in the global carbon cycle and its potential feedback to climate change. A better knowledge of the vertical distribution of SOC and its controlling factors—the aim of this study—will help scientists predict the consequences of global change. Materials and methods   The study area was the Murcia Province (S.E. Spain) under semiarid Mediterranean conditions. The database used consists of 312 soil profiles collected in a systematic grid, each 12 km 2 covering a total area of 11,004 km 2 . Statistical analysis to study the relationships between SOC concentration and control factors in different soil use scenarios was conducted at fixed depths of 0–20, 20–40, 40–60, and 60–100 cm. Results and discussion   SOC concentration in the top 40 cm ranged between 6.1 and 31.5 g kg −1 , with significant differences according to land use, soil type and lithology, while below this depth, no differences were observed (SOC concentration 2.1–6.8 g kg −1 ). The ANOVA showed that land use was the most important factor controlling SOC concentration in the 0–40 cm depth. Significant differences were found in the relative importance of environmental and textural factors according to land use and soil depth. In forestland, mean annual precipitation and texture were the main predictors of SOC, while in cropland and shrubland, the main predictors were mean annual temperature and lithology. Total SOC stored in the top 1 m in the region was about 79 Tg with a low mean density of 7.18 kg Cm −3 . The vertical distribution of SOC was shallower in forestland and deeper in cropland. A reduction in rainfall would lead to SOC decrease in forestland and shrubland, and an increase of mean annual temperature would adversely affect SOC in croplands and shrubland. With increasing depth, the relative importance of climatic factors decreases and texture becomes more important in controlling SOC in all land uses. Conclusions   Due to climate change, impacts will be much greater in surface SOC, the strategies for C sequestration should be focused on subsoil sequestration, which was hindered in forestland due to bedrock limitations to soil depth. In these conditions, sequestration in cropland through appropriate management practices is recommended. Content Type Journal Article Category SOILS, SEC 1 • SOIL ORGANIC MATTER DYNAMICS AND NUTRIENT CYCLING • RESEARCH ARTICLE Pages 1-13 DOI 10.1007/s11368-012-0617-7 Authors Juan Albaladejo, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Roque Ortiz, Agricultural Chemistry, Geology and Soil Science Department, Murcia University, Campus de Espinardo, 30100 Murcia, Spain Noelia Garcia-Franco, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Antonio Ruiz Navarro, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Maria Almagro, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Javier Garcia Pintado, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Maria Martínez-Mena, Soil and Water Conservation Department, CEBAS-CSIC (Spanish Research Council), Campus de Espinardo, 30100 Murcia, Spain Journal Journal of Soils and Sediments Online ISSN 1614-7480 Print ISSN 1439-0108

Description:    Although policymaking in response to the climate change threat is essentially a challenge of risk management, most studies of the relation of emissions targets to desired climate outcomes are either deterministic or subject to a limited representation of the underlying uncertainties. Monte Carlo simulation, applied to the MIT Integrated Global System Model (an integrated economic and earth system model of intermediate complexity), is used to analyze the uncertain outcomes that flow from a set of century-scale emissions paths developed originally for a study by the U.S. Climate Change Science Program. The resulting uncertainty in temperature change and other impacts under these targets is used to illustrate three insights not obtainable from deterministic analyses: that the reduction of extreme temperature changes under emissions constraints is greater than the reduction in the median reduction; that the incremental gain from tighter constraints is not linear and depends on the target to be avoided; and that comparing median results across models can greatly understate the uncertainty in any single model. Content Type Journal Article Pages 1-15 DOI 10.1007/s10584-011-0260-0 Authors Mort Webster, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Andrei P. Sokolov, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA John M. Reilly, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Chris E. Forest, Department of Meteorology, Pennsylvania State University, University Park, PA, USA Sergey Paltsev, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Adam Schlosser, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Chien Wang, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA David Kicklighter, The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA Marcus Sarofim, AAAS Science and Technology Policy Fellow, U.S. Environmental Protection Agency, Washington DC, USA Jerry Melillo, The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA Ronald G. Prinn, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Henry D. Jacoby, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    Qingjiang River, the second largest tributary of the Yangtze River in Hubei Province, has taken on the important tasks for power generation and flood control in Hubei Province. The Qingjiang River watershed has a subtropical monsoon climate and, as a result, has dramatic diversity in its water resources. Recently, global warming and climate change have seriously affected the Qingjiang watershed’s integrated water resources management. In this article, general circulation model (GCM) and watershed hydrological models were applied to analyze the impacts of climate change on future runoff of Qingjiang Watershed. To couple the scale difference between GCM and watershed hydrological models, a statistical downscaling method based on the smooth support vector machine was used to downscale the GCM’s large-scale output. With the downscaled precipitation and evaporation, the Xin-anjiang hydrological model and HBV model were applied to predict the future runoff of Qingjiang Watershed under A2 and B2 scenarios. The preformance of the one-way coupling approach in simulating the hydrological impact of climate change in the Qingjiang watershed is evaluated, and the change trend of the future runoff of Qingjiang Watershed under the impacts of climate change is presented and discussed. Content Type Journal Article Category Original paper Pages 1-12 DOI 10.1007/s00477-011-0524-2 Authors Hua Chen, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Tiantian Xiang, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Xing Zhou, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Chong-Yu Xu, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Journal Stochastic Environmental Research and Risk Assessment Online ISSN 1436-3259 Print ISSN 1436-3240

Description:    The area of study lies at the northeastern part of Nile Delta. Global shoreline regression and sea-level rise have their own-bearing on the groundwater salinization due to seawater intrusion. A new adopted approach for vulnerability mapping using the hydrochemical investigations, geographic information system and a weighted multi-criteria decision support system (WMCDSS) was developed to determine the trend of groundwater contamination by seawater intrusion. Six thematic layers were digitally integrated and assigned different weights and rates. These have been created to comprise the most decisive criteria used for the delineation of groundwater degradation due to seawater intrusion. These criteria are represented by the total dissolved solids, well discharge, sodium adsorption ratio, hydrochemical parameter (Cl/HCO 3 ), hydraulic conductivity and water types. The WMCDSS modeling was tried, where a groundwater vulnerability map with four classes ranging from very low to high vulnerability was gained. The map pinpointed the promising localities for groundwater protection, which are almost represented by the very low or low vulnerability areas (53.69 % of the total study area). The regions having high and moderate groundwater vulnerability occupy 46.31 % of total study area, which designate to a deteriorated territory of groundwater quality, and needs special treatment and cropping pattern before use. However, the moderate groundwater vulnerability class occupies an area of about 28.77 % of the total mapped area, which highlighted the need for certain management practices to prevent the saltwater intrusion from expanding further to the south. There was a good correlation of the constructed vulnerability map with the recently gathered water quality data and hydrochemical facies evolution. The plotting of water quality data on Piper trilinear diagram revealed the evolution of freshwater into the mixing and the saline zones as an impact of seawater intrusion, which validates the model results. Content Type Journal Article Category Original Article Pages 1-19 DOI 10.1007/s12665-012-1740-x Authors Hossam H. Elewa, National Authority for Remote Sensing and Space Sciences (NARSS), P.O. Box 1564, 23 Jozef Brows Tito St., El Nozha El-Gedida, Alf-Maskan, Cairo, 11769 Egypt Ragaa E. Shohaib, Chemistry Department, Faculty of Science, Zagazig University, Zagazig, Egypt Atef A. Qaddah, Geological Hazards Research Unit, Faculty of Earth Sciences, King Abdulaziz University, Jeddah, Saudi Arabia Ahmad M. Nousir, Geology Department, Faculty of Science, Zagazig University, Zagazig, Egypt Journal Environmental Earth Sciences Online ISSN 1866-6299 Print ISSN 1866-6280

Description: Agriculture significantly contributes to global greenhouse gas (GHG) emissions and there is a need to develop effective mitigation strategies. The efficacy of methods to reduce GHG fluxes from agricultural soils can be affected by a range of interacting management and environmental factors. Uniquely, we used the Taguchi experimental design methodology to rank the relative importance of six factors known to affect the emission of GHG from soil: nitrate (NO 3 − ) addition, carbon quality (labile and non-labile C), soil temperature, water-filled pore space (WFPS) and extent of soil compaction. Grassland soil was incubated in jars where selected factors, considered at two or three amounts within the experimental range, were combined in an orthogonal array to determine the importance and interactions between factors with a L 16 design, comprising 16 experimental units. Within this L 16 design, 216 combinations of the full factorial experimental design were represented. Headspace nitrous oxide (N 2 O), methane (CH 4 ) and carbon dioxide (CO 2 ) concentrations were measured and used to calculate fluxes. Results found for the relative influence of factors (WFPS and NO 3 − addition were the main factors affecting N 2 O fluxes, whilst glucose, NO 3 − and soil temperature were the main factors affecting CO 2 and CH 4 fluxes) were consistent with those already well documented. Interactions between factors were also studied and results showed that factors with little individual influence became more influential in combination. The proposed methodology offers new possibilities for GHG researchers to study interactions between influential factors and address the optimized sets of conditions to reduce GHG emissions in agro-ecosystems, while reducing the number of experimental units required compared with conventional experimental procedures that adjust one variable at a time.

Description:    Representative Concentration Pathway 6.0 (RCP6) is a pathway that describes trends in long-term, global emissions of greenhouse gases (GHGs), short-lived species, and land-use/land-cover change leading to a stabilisation of radiative forcing at 6.0 Watts per square meter (Wm −2 ) in the year 2100 without exceeding that value in prior years. Simulated with the Asia-Pacific Integrated Model (AIM), GHG emissions of RCP6 peak around 2060 and then decline through the rest of the century. The energy intensity improvement rates changes from 0.9% per year to 1.5% per year around 2060. Emissions are assumed to be reduced cost-effectively in any period through a global market for emissions permits. The exchange of CO 2 between the atmosphere and terrestrial ecosystem through photosynthesis and respiration are estimated with the ecosystem model. The regional emissions, except CO 2 and N 2 O, are downscaled to facilitate transfer to climate models. Content Type Journal Article Pages 1-18 DOI 10.1007/s10584-011-0150-5 Authors Toshihiko Masui, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Kenichi Matsumoto, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Yasuaki Hijioka, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Tsuguki Kinoshita, Ibaraki University, 3-21-1 Chuo, Ami, Ibaraki 300-0393, Japan Toru Nozawa, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Sawako Ishiwatari, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Etsushi Kato, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa, Yokohama, Kanagawa 236-0001, Japan P. R. Shukla, Indian Institute of Management, Ahmedabad, Vastrapur, Ahmedabad, 380015 India Yoshiki Yamagata, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Mikiko Kainuma, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009