Quantification of Agricultural Water Productivity at Field Scale and Its Implication in On-Farm Water Management     

Rangaswamy Madugundu  Khalid A. Al-Gaadi  ElKamil Tola  Virupakshagouda C. Patil  Chandrasekhar M. Biradar 《Journal of the Indian Society of Remote Sensing》2017,45(4):643-656

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TESTING AGFA-GEVAERT AVIPHOT PAN 200S PE1 AIR FILM PROCESSED BY REWIND SPOOL IN G5c DEVELOPER     

R. W. Graham  Khalid  Dasmal 《The Photogrammetric Record》1992,14(80):343-350

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Soil deformation and shear strength characteristics of the Sana''a soil, Yemen Arab Republic     

Sahel N. Abduljauwad  Khalid A. Al-Gassous 《Engineering Geology》1991,31(3-4):291-314

Deformation and strength characteristics of the soil of Sana'a, the Yemen Arab Republic, were investigated. Undisturbed soil samples were collected fro used in consolidation, collapse and strength tests. The classical and critical state compressibility parameters were determined using a one-dimensional collapsing potential of the investigated soil was determined by using both qualitative and quantitative analysis. Consolidated undrained triaxial tests different types of samples: saturated samples and samples at natural moisture content. The stress history of the fine soils are in the range of normal except for the stiff fissured lean clay which exhibited a relatively high overconsolidated stress history. The loess formations exhibited a moderate to under wetting and loading. The investigated soils are characterized by having high shear strength when they have low moisture content and a drastic dec content increases.  相似文献   

Dynamic linkages among energy consumption,air pollution,greenhouse gas emissions and agricultural production in Pakistan: sustainable agriculture key to policy success     

Muhammad Imran Qureshi  Usama Awan  Zeeshan Arshad  Amran Md. Rasli  Khalid Zaman  Faisal Khan 《Natural Hazards》2016,80(1):367-388

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Assessment of future changes in the maximum temperature at selected stations in Iran based on HADCM3 and CGCM3 models     

Mohsen Abbasnia  Taghi Tavousi  Mahmood Khosravi 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(4):371-377

Identification and assessment of climate change in the next decades with the aim of appropriate environmental planning in order to adapt and mitigate its effects are quite necessary. In this study, maximum temperature changes of Iran were comparatively examined in two future periods (2041-2070 and 2071-2099) and based on the two general circulation model outputs (CGCM3 and HADCM3) and under existing emission scenarios (A2, A1B, B1 and B2). For this purpose, after examining the ability of statistical downscaling method of SDSM in simulation of the observational period (1981-2010), the daily maximum temperature of future decades was downscaled by considering the uncertainty in seven synoptic stations as representatives of climate in Iran. In uncertainty analysis related to model-scenarios, it was found that CGCM3 model under scenario B1 had the best performance about the simulation of future maximum temperature among all of the examined scenario-models. The findings also showed that the maximum temperature at study stations will be increased between 1°C and 2°C in the middle and the end of 21st century. Also this maximum temperature changes is more severe in the HADCM3 model than the CGCM3 model.  相似文献   

Groundwater Discharge as a Source of Dissolved Carbon and Greenhouse Gases in a Subtropical Estuary   总被引：1，自引：0，他引：1  

Mahmood Sadat-Noori  Damien T. Maher  Isaac R. Santos 《Estuaries and Coasts》2016,39(3):639-656

Groundwater may be highly enriched in dissolved carbon species, but its role as a source of carbon to coastal waters is still poorly constrained. Exports of deep and shallow groundwater-derived dissolved carbon species from a small subtropical estuary (Korogoro Creek, Australia, latitude ?31.0478°, longitude 153.0649°) were quantified using a radium isotope mass balance model (²³³Ra and ²²⁴Ra, natural groundwater tracers) under two hydrological conditions. In addition, air-water exchange of carbon dioxide and methane in the estuary was estimated. The highest carbon inputs to the estuary were from deep fresh groundwater in the wet season. Most of the dissolved carbon delivered by groundwater and exported from the estuary to the coastal ocean was in the form of dissolved inorganic carbon (DIC; 687 mmol m^?2 estuary day^?1; 20 mmol m^?2 catchment day^?1, respectively), with a large export of alkalinity (23 mmol m^?2 catchment day^?1). Average water to air flux of CO₂ (869 mmol m^?2 day^?1) and CH₄ (26 mmol m^?2 day^?1) were 5- and 43-fold higher, respectively, than the average global evasion in estuaries due to the large input of CO₂- and CH₄-enriched groundwater. The groundwater discharge contribution to carbon exports from the estuary for DIC, dissolved organic carbon (DOC), alkalinity, CO₂, and CH₄ was 22, 41, 3, 75, and 100 %, respectively. The results show that CO₂ and CH₄ evasion rates from small subtropical estuaries surrounded by wetlands can be extremely high and that groundwater discharge had a major role in carbon export and evasion from the estuary and therefore should be accounted for in coastal carbon budgets.  相似文献   

Automated mineralogical methodology to study carbonate grain microstructure: an example from oncoids     

Abduljamiu Olalekan Amao  Khalid Al-Ramadan  Ardiansyah Koeshidayatullah 《Environmental Earth Sciences》2016,75(8):666

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Resistivity imaging survey to delineate subsurface seepage of hydrocarbon contaminated water at Karbala Governorate,Iraq     

Jassim?M.?ThabitEmail author  Firas?H.?Khalid 《Environmental Earth Sciences》2016,75(1):87

This research is an attempt to accomplish a 3-D resistivity imaging survey, which was carried out near a water well contaminated with hydrocarbon materials in Karbala governorate. Two-dimensional resistivity imaging measurements were collected along four parallel profiles, using a Wenner array with electrode spacing of 1 m. The RES3DINV program was used to invert the apparent resistivity data. The results displayed a resistivity distribution of the subsurface in a three-dimensional volume. Thus, both the horizontal and vertical extents of the contaminated zone were displayed. This technique revealed a low resistivity zone at depth ranges from 3 to 6 m in the investigation area, but the seepage starts at depth ranges between 2 and 3 m and continues down depth (may be to the groundwater level). This low resistivity zone is the most likely location for a subsurface seepage of contaminated water. It is clear that the sufficient measurement points along 2-D lines in a small area can increase the 3-D imaging resolution, and nearly real 3-D imaging can be achieved, when the size of subsurface anomaly compared with the electrode spacing (a) of the Wenner array is taken into consideration.  相似文献   

Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors     

Khalid Mansour  Onisimo Mutanga  Elhadi Adam 《国际地球制图》2016,31(5):477-491

Land degradation is believed to be one of the most severe and widespread environmental problems. In South Africa, large areas of land have been identified as degraded, as shown by the lower vegetation cover. One of the major causes of grassland degradation is change in plant species composition that leads to presence of unpalatable grass species. Some grass species have been successfully used as indicators of different levels of grassland degradation in the country. This paper, therefore explores the possibility of mapping grassland degradation in Cathedral Peak, South Africa, using indicators of grass species and edaphic factors. Multispectral SPOT 5 data were used to produce a grassland degradation map based on the spatial distribution of decreaser (Themeda triandra) and increaser (Hyparrhenia hirta) species. To improve mapping accuracy, soil samples were collected from each species site and analysed for nutrient content. A t-test and machine learning random forest classification algorithm were applied for variable selection and classification using SPOT 5 data and edaphic variables. Results indicated that the decreaser and increaser grass species can be mapped with modest accuracy using SPOT 5 data (overall accuracy of 75.30%, quantity disagreement = 2 and allocation disagreement = 23). The classification accuracy was improved to 88.60%, 1 and 11 for overall accuracy, quantity and allocation disagreements, respectively, when SPOT 5 bands and edaphic factors were combined. The study demonstrated that an approach based on the integration of multispectral data and edaphic variables, which increased the overall classification accuracy by about 13%, is a suitable when adopting remote sensing to monitor grassland degradation.  相似文献   

Dust-ion acoustic cnoidal waves and associated nonlinear ion flux in a nonthermal dusty plasma     

Hafeez Ur-Rehman  S. Mahmood 《Astrophysics and Space Science》2016,361(9):292

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