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| 1 | A dynamic model for exploring water-resource management scenarios in an inland arid area: Shanshan County, Northwestern China显示文摘Water scarcity is a challenge in many arid and semi-arid regions; this may lead to a series of environmental problems and could be stressed even further by the effects from climate change. This study focused on the water resource management in Shanshan County, an inland arid region located in northwestern China with a long history of groundwater overexploitation. A model of the supply and demand system in the study area from 2006 to2030, including effects from global climate change,was developed using a system dynamics(SD)modeling tool. This SD model was used to 1) explore the best water-resource management options by testing system responses under various scenarios and2) identify the principal factors affecting the responses, aiming for a balance of the groundwater system and sustainable socio-economic development.Three causes were identified as primarily responsible for water issues in Shanshan: low water-use efficiency low water reuse, and increase in industrial waterdemand. To address these causes, a combined scenario was designed and simulated, which was able to keep the water deficiency under 5% by 2030. The model provided some insights into the dynamic interrelations that generate system behavior and the key factors in the system that govern water demand and supply. The model as well as the study results may be useful in water resources management in Shanshan and may be applied, with appropriate modifications, to other regions facing similar water management challenges. | CHEN Chao AHMAD Sajjad KALRA Ajay XU Zhi-xia | 2017 | Journal of Mountain Science2017,14,6: | 2 |
| 2 | Indian patients with nonalcoholic fatty liver disease presenting with raised transaminases are different at presentation显示文摘 | Ajay Duseja Ashim Das Radha Krishan Dhiman Yogesh Kumar Chawla Reena Das Sanjay Bhadada Ravinder Sialy Kiran Kumar Thumburu Anil Bhansali Naveen Kalra | 2007 | World Journal of Gastroenterology2007,13,4: | 2 |
| 3 | A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions显示文摘 | Boulding William Ajay Kalra Richard Staelin and Valarie A Zeithaml | 1993 | Journal of Marketing Research1993,30,1: | 1 |
| 4 | Lipase-catalyzed polycondensations : effect ofsubstrates and solvent on chain formation, dispersity,andend-group structure 显示文摘 | Anil Mahapatro Bhanu Kalra Ajay Kumar Richard AGross | 2003 | Biomacromolecules2003,4,: | 1 |
| 5 | A dynamic process model of service quality: from expectations to behavioral intentions 显示文摘 | Boulding William Ajay Kalra Richard Staelin and Valarie A Zeithaml | 1993 | Journal of Marketing Research1993,,2: | 1 |
| 6 | A dynamic process model of service quality: From expectations to behavioral intentions显示文摘 | Boulding William Ajay Kalra Richard Staelin | 1993 | Marketing Res1993,30,2: | 1 |
| 7 | A dynamic process model of service quality:from expectation to behavior intentions显示文摘 | Boulding William Ajay Kalra | 1987 | Journal of Marketing Research1987,,24: | 1 |
| 8 | Fungal elicitor-mediated enhancement in growth and asiaticoside content of Centella asiatica L. shoot cultures显示文摘 | Archana Prasad Archana Mathur Alok Kalra Madan M. Gupta Raj K. Lal Ajay K. Mathur | 2013 | Plant Growth Regulation2013,,3: | 1 |
| 9 | Efficient ring-opening polymerization and copolymerization of ε-caprolactone and ω-pentadecalactone catalyzed by candida antartica lipase B显示文摘 | Ajay Kumar Bhanu Kalra Alex Dekhterman | 2000 | Macromolecules2000,33,17: | 1 |
| 10 | When old is gold:the role of business longevity in risky situations显示文摘 | PREYAS S DESAI AJAY KALRA B P S MURTHI | 2008 | Journal of Marketing2008,,: | 1 |
| 11 | A Dynamo is Process Model of Service Quality:from Expectation to Behavior Intention显示文摘 | Boulding William Ajay Kalra etal | 1987 | Journal of Marketing Research1987,,24: | 1 |
| 12 | A Dynamic Process Model of Service Quality: from Expectation to Behavior Iintentions 显示文摘 | Bouldinn William Ajay Kalra | 1987 | Journal of Marketing Research1987,,24: | 1 |
| 13 | A dynamo ic process model of service quality:fromexpectationtobehaviorintention显示文摘 | Boulding William Ajay Kalra etal | 1987 | Journal of Marketing Research1987,,: | 1 |
| 14 | The Quality DoubleWhammy显示文摘 | William Boulding Ajay Kalra Richard Staelin | 1999 | Marketing Science1999,18,46: | 1 |
| 15 | Hepatic Arteriovenous Fistulae: Role of Interventional Radiology显示文摘 | Ajay Kumar Chirag Kamal Ahuja Sameer Vyas Naveen Kalra Niranjan Khandelwal Yogesh Chawla Radha Krishan Dhiman | 2012 | Digestive Diseases and Sciences2012,,10: | 1 |
| 16 | Journal of Marketing Research 显示文摘 | Bouldlng William Ajay Kalra A dynamic process model of service quality:from expectation to behavior intentions | 1987 | (4) :305 - 3141987,,4: | 1 |
| 17 | Angiogenic and anti-angiogenic factor gene transcript level quantitation by quantitative real time PCR in patients with hepatocellular carcinoma显示文摘 | Bal Krishan Sharma Radhika Srinivasan Shweta Kapil Bhupesh Singla Yogesh Kumar Chawla Anuradha Chakraborti Nitin Saini Ajay Duseja Ashim Das Naveen Kalra Radha Krishan Dhiman | 2013 | Molecular Biology Reports2013,,: | 1 |
| 18 | Zeithaml,1993,A Dynamic Process Model of Service Quality:From Expectations to Behavioral Intentions显示文摘 | William Boulding Ajay Kalra Richard Staelin and Valarie A | 1993 | Journal of Marketing1993,727,: | 1 |
| 19 | Long-range precipitation forecasts using paleoclimate reconstructions in the western United States显示文摘Long-range precipitation forecasts are useful when managing water supplies.Oceanicatmospheric oscillations have been shown to influence precipitation.Due to a longer cycle of some of the oscillations,a short instrumental record is a limitation in using them for long-range precipitation forecasts.The influence of oscillations over precipitation is observable within paleoclimate reconstructions;however,there have been no attempts to utilize these reconstructions in precipitation forecasting.A data-driven model,KStar,is used for obtaining long-range precipitation forecasts by extending the period of record through the use of reconstructions of oscillations.KStar is a nearest neighbor algorithm with an entropy-based distance function.Oceanic-atmospheric oscillation reconstructions include the El Nino-Southern Oscillation(ENSO),the Pacific Decadal Oscillation(PDO),the North Atlantic Oscillation(NAO),and the Atlantic Multi-decadal Oscillation(AMO).Precipitation is forecasted for 20 climate divisions in the western United States.A 10-year moving average is applied to aid in the identification of oscillation phases.A lead time approach is used to simulate a one-year forecast,with a 10-fold cross-validation technique to test the models.Reconstructions are used from 1658-1899,while the observed record is used from 1900-2007.The model is evaluated using mean absolute error(MAE),root mean squared error(RMSE),RMSE-observations standard deviation ratio(RSR),Pearson's correlation coefficient(R),NashSutcliffe coefficient of efficiency(NSE),and linear error in probability space(LEPS) skill score(SK).The role of individual and coupled oscillations is evaluated by dropping oscillations in the model.The results indicate 'good' precipitation estimates using the KStar model.This modeling technique is expected to be useful for long-term water resources planning and management. | Christopher Allen CARRIER Ajay KALRA Sajjad AHMAD | 2016 | Journal of Mountain Science2016,13,4: | 0 |
| 20 | Potential of rooftop rainwater harvesting to meet outdoor water demand in arid regions显示文摘The feasibility of rooftop rainwater harvesting(RRWH) as an alternative source of water to meet the outdoor water demand in nine states of the U.S. was evaluated using a system dynamics model developed in Systems Thinking, Experimental Learning Laboratory with Animation. The state of Arizona was selected to evaluate the effects of the selected model parameters on the efficacy of RRWH since among the nine states the arid region of Arizona showed the least potential of meeting the outdoor water demand with rain harvested water. The analyses were conducted on a monthly basis across a 10-year projected period from 2015 to 2024. The results showed that RRWH as a potential source of water was highly sensitive to certain model parameters such as the outdoor water demand, the use of desert landscaping, and the percentage of existing houses with RRWH. A significant difference(as high as 37.5%) in rainwater potential was observed between the projected wet and dry climate conditions in Arizona. The analysis of the dynamics of the storage tanks suggested that a 1.0–2.0 m^3 rainwater barrel, on an average, can store approximately 80% of the monthly rainwater generated from the rooftops in Arizona, even across the high seasonal variation. This interactive model can be used as a quick estimator of the amount of water that could be generated, stored, and utilized through RRWH systems in the U.S. under different climate conditions. The findings of such comprehensive analyses may help regional policymakers, especially in arid regions, to develop a sustainable water management infrastructure. | Kazi TAMADDUN Ajay KALRA Sajjad AHMAD | 2018 | Journal of Arid Land2018,10,1: | 0 |