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31.
Characterizing Drought in Irrigated Agricultural Systems: The Surface Water Delivery Index (SWDI)
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David J. Hoekema Jae Hyeon Ryu 《Journal of the American Water Resources Association》2016,52(3):737-755
Quantifying surface water shortages in arid and semiarid agricultural regions is challenging because limited water supplies are distributed over long distances based on complex water management systems constrained by legal, economic, and social frameworks that evolve with time. In such regions, the water supply is often derived in a climate dramatically different from where the water is diverted to meet agricultural demand. The existing drought indices which rely on local climate do not portray the complexities of the economic and legal constraints on water delivery. Nor do these indices quantify the shortages that occur in drought. Therefore, this research proposes a methodological approach to define surface water shortages in irrigated agricultural systems using a newly developed index termed the Surface Water Delivery Index (SWDI). The SWDI can be used to uniformly quantify surface water deficits/shortages at the end of the irrigation season. Results from the SWDI clearly illustrate how water shortages in droughts identified by the existing indices (e.g., SPI and PDSI) vary strongly both within and between basins. Some surface water entities are much more prone to water shortages than other entities based both on their source of water supply and water right portfolios. 相似文献
32.
Irrigation Water Allocation Using an Inexact Two‐Stage Quadratic Programming with Fuzzy Input under Climate Change
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Mo Li Ping Guo Vijay P. Singh Jie Zhao 《Journal of the American Water Resources Association》2016,52(3):667-684
Agricultural irrigation accounts for nearly 70% of the total water use around the world. Uncertainties and climate change together exacerbate the complexity of optimal allocation of water resources for irrigation. An interval‐fuzzy two‐stage stochastic quadratic programming model is developed for determining the plans for water allocation for irrigation with maximum benefits. The model is shown to be applicable when inputs are expressed as discrete, fuzzy or random. In order to reflect the effect of marginal utility on benefit and cost, the model can also deal with nonlinearities in the objective function. Results from applying the model to a case study in the middle reaches of the Heihe River basin, China, show schemes for water allocation for irrigation of different crops in every month of the crop growth period under various flow levels are effective for achieving high economic benefits. Different climate change scenarios are used to analyze the impact of changing water requirement and water availability on irrigation water allocation. The proposed model can aid the decision maker in formulating desired irrigation water management policies in the wake of uncertainties and changing environment. 相似文献
33.
34.
Carroll S Goonetilleke A Thomas E Hargreaves M Frost R Dawes L 《Environmental management》2006,38(2):286-303
Onsite wastewater treatment systems (OWTS) are becoming increasingly important for the treatment and dispersal of effluent
in new urbanised developments that are not serviced by centralised wastewater collection and treatment systems. However, the
current standards and guidelines adopted by many local authorities for assessing suitable site and soil conditions for OWTS
are increasingly coming under scrutiny due to the public health and environmental impacts caused by poorly performing systems,
in particular septic tank-soil adsorption systems. In order to achieve sustainable onsite wastewater treatment with minimal
impacts on the environment and public health, more appropriate means of assessment are required. This paper highlights an
integrated risk based approach for assessing the inherent hazards associated with OWTS in order to manage and mitigate the
environmental and public health risks inherent with onsite wastewater treatment. In developing a sound and cohesive integrated
risk framework for OWTS, several key issues must be recognised. These include the inclusion of relevant stakeholders throughout
framework development, the integration of scientific knowledge, data and analysis with risk assessment and management ideals,
and identification of the appropriate performance goals for successful management and mitigation of associated risks. These
issues were addressed in the development of the risk framework to provide a generic approach to assessing risk from OWTS.
The utilisation of the developed risk framework for achieving more appropriate assessment and management techniques for OWTS
is presented in a case study for the Gold Coast region, Queensland State, Australia. 相似文献
35.
36.
Nicole F. Opalinski Aditi S. Bhaskar Dale T. Manning 《Journal of the American Water Resources Association》2020,56(1):68-81
Weather variability has the potential to influence municipal water use, particularly in dry regions such as the western United States (U.S.). Outdoor water use can account for more than half of annual household water use and may be particularly responsive to weather, but little is known about how the expected magnitude of these responses varies across the U.S. This nationwide study identified the response of municipal water use to monthly weather (i.e., temperature, precipitation, evapotranspiration [ET]) using monthly water deliveries for 229 cities in the contiguous U.S. Using city‐specific multiple regression and region‐specific models with city fixed effects, we investigated what portion of the variability in municipal water use was explained by weather across cities, and also estimated responses to weather across seasons and climate regions. Our findings indicated municipal water use was generally well‐explained by weather, with median adjusted R2 ranging from 63% to 95% across climate regions. Weather was more predictive of water use in dry climates compared to wet, and temperature had more explanatory power than precipitation or ET. In response to a 1°C increase in monthly maximum temperature, municipal water use was shown to increase by 3.2% and 3.9% in dry cities in winter and summer, respectively, with smaller changes in wet cities. Quantifying these responses allows urban water managers to plan for weather‐driven variability in water use. 相似文献
37.
Andrew S. Jones Allan A. Andales Jos L. Chvez Cullen McGovern Garvey E.B. Smith Olaf David Steven J. Fletcher 《Journal of the American Water Resources Association》2020,56(2):201-211
We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series. 相似文献
38.
Jahn Kallis Leo Bodensteiner Anthony Gabriel 《Journal of the American Water Resources Association》2010,46(4):744-756
Kallis, Jahn, Leo Bodensteiner, and Anthony Gabriel, 2010. Hydrological Controls and Freshening in Meromictic Soap Lake, Washington, 1939-2002. Journal of the American Water Resources Association (JAWRA) 46(4): 744-756. DOI: 10.1111/j.1752-1688.2010.00446.x Abstract: The chemically stratified layer of naturally formed meromictic lakes exhibits unusual and often extreme physical and chemical conditions that have resulted in the evolution of uniquely adapted species. The Columbia Basin Irrigation Project appears to have had a marked effect on the hydrology of Soap Lake, a meromictic lake in the Grand Coulee of central Washington. The relation of hydrology to salinity was assessed by analyzing water budgets before and after the introduction of the irrigation project. Before irrigation, water gains were balanced by losses; after irrigation began groundwater gains approximately doubled. To manage lake levels and reduce groundwater influx, wells were installed to intercept groundwater. Although the hydrological cycle has been restored to pre-irrigation conditions, the meromictic character of the lake continues to change. Interception wells remove 10 to 16 Mm3 of groundwater annually, but influx continues based on change in the monimolimnion. From 1958 to 2003 the chemocline descended 1.1 m and the volume of the monimolimnion from 698,000 m3 to 114,000 m3. Annual loss of volume is occurring at a rate of 1.9% since 1958. Although groundwater interception wells are maintaining the volume of the entire lake, the recession of the chemocline indicates that conditions that have maintained meromixis at Soap Lake are currently not in equilibrium. 相似文献
39.
为开发一种污水再生利用于农田灌溉领域的新型技术,本实验以城市污水为研究对象,采用A2O—MBR工艺进行中试研究,并将系统出水水质与《农田灌溉水质标准(GB5084—2005)》的主要水质指标进行对比分析。结果表明,系统COD和BOD,出水浓度范围分别为3.2~59.6mg/L、1.0~7.6mg/L,系统出水pH为7.16~7.54,悬浮物浓度几乎为0,上述指标均符合标准;TP、TN和氨氮的出水范围分别为0.03~0.79mg/L、1.6~17.7mg/L和0.8~10.3mg/L。《农田灌溉水质标准》没有对上述3个指标提出具体要求,且少量的氮磷是植物生长的营养元素。该系统出水的主要水质指标符合标准兽求. 相似文献
40.
Predicting Satisfaction with Smart Irrigation Controllers and Their Long‐Term Use among Homeowners in Central Florida
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Maria C. Morera Paul F. Monaghan Michael D. Dukes Eliza Breder 《Journal of the American Water Resources Association》2017,53(4):929-943
Studies throughout Florida have shown smart controllers can substantially reduce irrigation under residential high‐water use conditions. However, successful promotion requires understanding the link between controller performance and the mechanisms by which they are adopted. This article compares irrigation water‐use and survey data collected from households installed with soil moisture sensor and evapotranspiration controllers. The study investigated whether the relative change in irrigation use between two years preceding and two years following installation was a reliable predictor of a homeowner's satisfaction with the device and likelihood of continuing to use it. Results indicated relative changes in irrigation use were only significantly associated with the quality of controller programming. Satisfaction with the controller was largely attributable to satisfaction with the appearance of the landscape and the perceived water‐saving effectiveness of the controller whereas the likelihood of its continued use was only significantly predicted by the level of technical knowledge regarding its functioning and whether or not challenges were experienced with it. Targeting homeowners with supplemental user‐friendly information may best support their long‐term adoption of smart controllers while providing irrigation contractors with training in implementation techniques would represent an integrated strategy for added reductions in residential outdoor water use. 相似文献