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601.
This paper reports the rehabilitation of the historic St. Lourdes Church in Tiruchirappalli, India. The structure is a critical landmark and a significant representation of religious buildings in the area. Inspections of the Gothic style masonry church were completed in 1998, where distress and decay due to water damages were identified and repaired using lime-based materials. A subsequent inspection 10 years later indicated that remains a critical issue. This case study demonstrates the importance of rehabilitation of historic structures using appropriate construction techniques including possible alternative rehabilitation approaches to ensure the preservation of these structures. 相似文献
602.
Agronomic and economic evaluation of site-specific nutrient management for irrigated wheat in northwest India 总被引:1,自引:0,他引:1
Harmandeep S. Khurana Steven B. Phillips Bijay-Singh Marcus M. Alley Achim Dobermann Ajmer S. Sidhu Yadvinder-Singh Shaobing Peng 《Nutrient Cycling in Agroecosystems》2008,82(1):15-31
Similar to other regions of Asia, irrigated wheat (Triticum aestivum L.) yield increases in Punjab, India, have slowed in recent years. Future yield increases may occur in smaller increments
through fine-tuning of crop management mainly by accounting for the large spatial and temporal variation in soil characteristics.
On-farm experiments were conducted from 2002–03 to 2004–05 on 56 irrigated wheat farms (hereafter referred to as ‘sites’)
in six key irrigated rice (Oryza sativa L.)-wheat regions of Punjab to evaluate an approach for site-specific nutrient management (SSNM). Site-specific N–P–K applications
were calculated by accounting for the indigenous nutrient supply, yield targets, and nutrient demand as a function of the
interactions between N, P, and K. The performance of SSNM was tested for two wheat crops. Compared with the current farmers’
fertilizer practice (FFP), average grain yield increased from 4.2 to 4.8 Mg ha−1, while plant N, P, and K accumulations increased by 12–20% with SSNM. The gross return above fertilizer cost (GRF) was about
13% greater with SSNM than with FFP. Improved timing and/or splitting of fertilizer N increased N recovery efficiency from
0.17 kg kg−1 in FFP plots to 0.27 kg kg−1 in SSNM plots. The agronomic N use efficiency was 63% greater with SSNM than with FFP. As defined in our study, SSNM has
potential for improving yields and nutrient use efficiency in irrigated wheat. Future research must build on the present approach
to develop a more practical way for achieving similar benefits across large areas without site-specific modeling and with
minimum crop monitoring. 相似文献
603.
Lindsay Bremner 《Architectural Design》2022,92(1):104-111
Director of Research at the School of Architecture and Cities at London's University of Westminster and former Principal Investigator of the Monsoon Assemblages research project, Lindsay Bremner investigates the historic, colonial, financial and contemporary dynamic between the Global North and the Global South, particularly in relation to the monsoon and climate justice. 相似文献
604.
Patrick Bellew 《Architectural Design》2021,91(2):104-111
Founding Director of London's Atelier Ten environmental engineering consultants, Patrick Bellew lifts the lid on some of his firm's numerous interactions with AHMM and their continuing, joint aspirations to create greener, sustainable buildings that rejoice in bringing together science and art. 相似文献
605.
606.
印度是东西方文化的交融之地,雕版印染在世界纺织文化中具有举足轻重的地位.印度的雕版印染具有浓郁的传统乡土气息,在工艺、审美特点、文化内涵等方面都具有很高的艺术价值和应用价值,是印度纺织文化的杰出代表. 相似文献
607.
Vimal Mishra;J. S. Nanditha;Swarup Dangar;Dipesh Singh Chuphal;Urmin Vegad; 《Wiley Interdisciplinary Reviews: Water》2024,11(5):e1742
The frequency of hydrological extremes (droughts and floods) has increased in recent years in India. A dense population, intensive agriculture, and rapidly developing physical infrastructure put India under the risk of hydrological extremes. However, a comprehensive overview of the drivers, changes, and impacts associated with hydrological extremes in India has been lacking. We examine the key processes and the role of climate and human interventions on hydrological extremes in India. We discuss the observed and projected changes in hydrological extremes along with their impacts. While the Indian summer monsoon is the primary driver of the hydrological extremes in India, human interventions (irrigation, reservoir storage, and groundwater pumping) play a crucial role in the changes and variability of hydrological extremes. The relative role of climate change and direct human interventions on changing the intensity and impacts of hydrological extremes need to be considered for future adaptation planning under climate change. The observed increase in the frequency and intensity of hydrological extremes will continue in the future with compound and cascading impacts due to the warming climate. We need to strengthen the observational network, improve hydrological modeling, reduce climate uncertainty, and develop robust early warning systems to adapt and mitigate hydrological extremes in India. 相似文献
608.
A comprehensive simulation model was used to assess the performance of the storage-based operating policies of the Vaigai Reservoir system, Tamil Nadu, India. The model first used historical inflow data, and then inflow data generated through an artificial neural network (ANN) model. The modelled releases were then compared with the actual ones. It was found that the existing storage-based policies were violated within the year but not on an annual basis, except in the recent past, when annual deficits occurred due to inadequate water availability from the upstream reservoir. 相似文献
609.
Combining discrete wavelet transform (DWT) and autoregression (AR), two types of wavelet regression (WR) models were developed for forecasting 1‐day‐ahead river stages. In the first type of WR models, AR was applied on the DWT‐obtained subtime series while in the second type, AR was applied on the modified time series which was formed by recombining effective subtime series and ignoring the ‘noise’ subtime series. Depending upon different input combinations, five models in each type of WR models were developed. The efficiency of developed models was tested in forecasting monsoon stages of Kosi River in Bihar State of India. During monsoon (June to Oct), the Kosi carries large flow and makes the entire North Bihar unsafe for habitation or cultivation. When compared, WR models predicted river stages with greater accuracy than AR and artificial neural network (ANN) models, developed for the purpose. Between the two types of WR models, the first type gave slightly better results than the second type. The best performing WR model, with five previous days’ subtime series as inputs, predicted stages of the Kosi River, with the highest accuracy of 97.41%, the minimum root mean square error of 7.9 cm and the maximum coefficient of correlation of 0.952. 相似文献
610.
Urban planners are faced with the decision of what planning policy to pursue in order to achieve the best possible future. Many cities in developed nations use comprehensive models that simulate various aspects of the urban system, capable of predicting implications of a given set of policy inputs, to assist the planning process. However, in developing countries, demographic and socioeconomic data with appropriate spatial disaggregation are difficult to obtain. This constrains the development of such comprehensive urban models to support planning decisions. In the absence of models, the plan-making process usually inclines towards a more intuitive approach. 相似文献