222 research outputs found

    The Three Gorges Dam Affects Regional Precipitation

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    Issues regarding building large-scale dams as a solution to power generation and flood control problems have been widely discussed by both natural and social scientists from various disciplines, as well as the policy-makers and public. Since the Chinese government officially approved the Three Gorges Dam (TGD) projects, this largest hydroelectric project in the world has drawn a lot of debates ranging from its social and economic to climatic impacts. The TGD has been partially in use since June 2003. The impact of the TGD is examined through analysis of the National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM) rainfall rate and Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and high-resolution simulation using the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) fifth-generation Mesoscale Model (MM5). The independent satellite data sets and numerical simulation clearly indicate that the land use change associated with the TGD construction has increased the precipitation in the region between Daba and Qinling mountains and reduced the precipitation in the vicinity of the TGD after the TGD water level abruptly rose from 66 to 135 m in June 2003. This study suggests that the climatic effect of the TGD is on the regional scale (approx.100 km) rather than on the local scale (approx.10 km) as projected in previous studies

    Conexiones políticas y comprensibilidad de los estados financieros: Datos de China

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    High-quality information disclosure improves the accuracy of investors’ judgment and efficiency in resource allocation. With a focus on the readability of information disclosed, this study analyzes how political connections affect the readability of financial statements by taking A-share private-owned companies listed onShanghai and Shenzhen Stock Exchanges as research sample from 2008 to 2019. We use ordinary leastsquares model and moderating effect model as our main methodology. A series of robustness tests are alsocarried out. Our research finds that companies with political connections are more likely to issue less read-able financial statements. This negative impact is diminished for the firms with a higher marketization level,better corporate governance, and greater analyst coverage. Further research on the economic consequences demonstrates that political connections would weaken the positive effect of the readability of financial state-ments on the firm’s future market value. This study enriches the research on the factors influencing the readability of financial statements and reveals the economic consequences of political connections in termsof textual information disclosure quality. It is therefore an important reference for regulatory authoritiesto formulate guidelines on text information disclosure and supervise the compliance of politically affiliated enterprises, while facilitating listed companies to enhance the readability of their financial statementsLa divulgación de información de alta calidad mejora la precisión del juicio de los inversores y la eficiencia en la asignación de recursos. Centrándose en la comprensibilidad de la información divulgada, este estudio analiza cómo las conexiones políticas afectan a la comprensibilidad de los estados financieros tomando como muestra de investigación las empresas privadas de acciones A cotizadas en las bolsas de Shangháiy Shenzhen entre 2008 y 2019. Utilizamos el modelo de mínimos cuadrados ordinarios y el modelo de efecto moderador como metodología principal. También se llevan a cabo una serie de pruebas de robustez. Nuestra investigación encuentra que las empresas con conexiones políticas son más propensas a emitir estados financieros menos comprensibles. Este efecto negativo disminuye en las empresas con mayor nivel de comercialización, mejor gobierno corporativo y mayor cobertura de los analistas. Otras investigaciones sobre las consecuencias económicas demuestran que las conexiones políticas debilitarían el efecto positivo de la comprensibilidad de los estados financieros sobre el futuro valor de mercado de la empresa. Este estudio enriquece la investigación sobre los factores que influyen en la legibilidad de los estados financieros y revela las consecuencias económicas de las conexiones políticas en términos de calidad de la divulgación de información textual. Por lo tanto, constituye una referencia importante para que las autoridades reguladoras formulen directrices sobre la divulgación de información textual y supervisen el cumplimiento de las empresas con conexiones políticas, al tiempo que facilita a las empresas cotizadas en bolsa la mejora de la legibilidad de sus estados financieros

    Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image

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    Powdery mildew, caused by the fungus Blumeria graminis, is a major winter wheat disease in China. Accurate delineation of powdery mildew infestations is necessary for site-specific disease management. In this study, high-resolution multispectral imagery of a 25 km2 typical outbreak site in Shaanxi, China, taken by a newly-launched satellite, SPOT-6, was analyzed for mapping powdery mildew disease. Two regions with high representation were selected for conducting a field survey of powdery mildew. Three supervised classification methods—artificial neural network, mahalanobis distance, and maximum likelihood classifier—were implemented and compared for their performance on disease detection. The accuracy assessment showed that the ANN has the highest overall accuracy of 89%, following by MD and MLC with overall accuracies of 84% and 79%, respectively. These results indicated that the high-resolution multispectral imagery with proper classification techniques incorporated with the field investigation can be a useful tool for mapping powdery mildew in winter wheat

    Tropical Cyclones and Climate Change

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    Trabajo presentado en: 10th International Worskshop Cyclones Tropicales, celebrado del 5 al 9 de diciembre de 2022 en Bali, Indonesia.A substantial number of studies have been published since the IWTC-9 in 2018, improving our understanding of the effect of climate change on tropical cyclones (TCs) and associated hazards and risks. They reinforced the robustness of increases in TC intensity and associated TC hazards and risks due to anthropogenic climate change. New modeling and observational studies suggested the potential influence of anthropogenic climate forcings, including greenhouse gases and aerosols, on global and regional TC activity at the decadal and century time scale. However, there is still substantial uncertainty owing to model uncertainty in simulating historical TC decadal variability in the Atlantic and owing to limitations of observed TC records. The projected future change in the global number of TCs has become more uncertain since IWTC-9 due to projected increases in TC frequency by a few climate models. A new paradigm, TC seeds, has been proposed, and there is currently a debate on whether seeds can help explain the physical mechanism behind the projected changes in global TC frequency. New studies also highlighted the importance of large-scale environmental fields on TC activity, such as snow cover and air-sea interactions. Future projections on TC translation speed and Medicanes are new additional focus topics in our report. Recommendations and future research are proposed relevant to the remaining scientific questions and assisting policymakers

    NOA1 Functions in a Temperature-Dependent Manner to Regulate Chlorophyll Biosynthesis and Rubisco Formation in Rice

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    NITRIC OXIDE-ASSOCIATED1 (NOA1) encodes a circularly permuted GTPase (cGTPase) known to be essential for ribosome assembly in plants. While the reduced chlorophyll and Rubisco phenotypes were formerly noticed in both NOA1-supressed rice and Arabidopsis, a detailed insight is still necessary. In this study, by using RNAi transgenic rice, we further demonstrate that NOA1 functions in a temperature-dependent manner to regulate chlorophyll and Rubisco levels. When plants were grown at 30°C, the chlorophyll and Rubisco levels in OsNOA1-silenced plants were only slightly lower than those in WT. However, at 22°C, the silenced plants accumulated far less chlorophyll and Rubisco than WT. It was further revealed that the regulation of chlorophyll and Rubisco occurs at the anabolic level. Etiolated WT seedlings restored chlorophyll and Rubisco accumulations readily once returned to light, at either 30°C or 15°C. Etiolated OsNOA1-silenced plants accumulated chlorophyll and Rubisco to normal levels only at 30°C, and lost this ability at low temperature. On the other hand, de-etiolated OsNOA1-silenced seedlings maintained similar levels of chlorophyll and Rubisco as WT, even after being shifted to 15°C for various times. Further expression analyses identified several candidate genes, including OsPorA (NADPH: protochlorophyllide oxidoreductase A), OsrbcL (Rubisco large subunit), OsRALyase (Ribosomal RNA apurinic site specific lyase) and OsPuf4 (RNA-binding protein of the Puf family), which may be involved in OsNOA1-regulated chlorophyll biosynthesis and Rubisco formation. Overall, our results suggest OsNOA1 functions in a temperature-dependent manner to regulate chlorophyll biosynthesis, Rubisco formation and plastid development in rice

    Study of the phase-varying mechanisms of ion current signals for combustion phasing in a gasoline HCCI engine

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    This work was supported by National Basic Research Priorities Program (973) of China under the Grant reference of 2007CB 210005.The phase-varying mechanism of the ion current observed in a Homogeneous Charge Compression Ignition (HCCI) engine is investigated to achieve ion current-based combustion phasing. By integrating the gasoline flame ionization mechanism with the HCCI combustion model, the mechanisms affecting the ion formation and recombination processes are analyzed, and the relationship between the phases of ion current and combustion event is studied. Modeling results indicate that the formation rate of H 3 O + ions is mainly affected by the combustion boundary conditions. However, the ion recombination rate of H 3 O + ions is mainly dependent on the concentration of these ions. In the presence of the above mechanisms, the phase-varying tendency of the ion current is found to be similar to the variations in the combustion phase, but the offset between these phases will vary when the combustion boundary condition changes. As the equivalence ratio becomes low, the rate of H 3 O + formation is decreased and the ion recombination rate decreases even more, due to the reduced ion concentration. Therefore, the inflection point of the ion current curve, dI max , is retarded even further compared to the combustion phase CA50. In addition, a larger phase offset between dI max and CA50 is observed when the intake temperature is lower. All of the above modeling predictions agree well with the experimental results
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