Your search found 54 records
1 Wassmann, R.; Butterbach-Bah, K.; Doberman, A. 2007. Irrigated rice production systems and greenhouse gas emissions: Crop and residue management trends, climate change impacts and mitigation strategies. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2(004). 14p.
Irrigated farming ; Rice ; Paddy fields ; Methane ; Nitrous oxide ; Carbon dioxide ; Climate change ; Cropping systems
(Location: IWMI HQ Call no: P 7960 Record No: H040447)
2 McKeown, A.; Gardner, G. 2009. Climate change reference guide. Washington, DC, USA: Worldwatch Institute. 14p.
(Location: IWMI HQ Call no: e-copy only Record No: H034813)
http://www.worldwatch.org/files/pdf/CCRG.pdf?emc=el&m=297190&l=9&v=f0d32bc57c
https://vlibrary.iwmi.org/pdf/H034813.pdf
https://vlibrary.iwmi.org/pdf/H034813.pdf
(0.56 MB)
At the heart of climate change is the greenhouse effect, in which molecules of various gases trap heat in Earth’s atmosphere and keep it warm enough to support life. Carbon dioxide and other “greenhouse gases” (GHGs) are an important part of Earth’s natural cycles, but human activities are boosting their concentrations in the atmosphere to dangerous levels. The result is rising global temperatures and an unstable climate that threatens humans, economies, and ecosystems.
3 Menard, C.; Ramirez, A. A.; Nikiema, Josiane; Heitz, M. 2012. Biofiltration of methane and trace gases from landfills: a review. Environmental Reviews, 20(1):40-53. [doi: https://doi.org/10.1139/A11-022]
(Location: IWMI HQ Call no: e-copy only Record No: H044751)
(0.16 MB)
Concerns about biogas from landfills are reviewed in terms of biogas generation, composition, and elimination. Biogas is mainly composed of methane and carbon dioxide but it also contains a few hundred non-methane organic compounds. The solutions available to reduce its harmful effects on the environment and on human health are valorization as electricity or heat, flaring, or biofiltration. The main parameters affecting the biofiltration of methane are reviewed: temperature, moisture content, properties of the packing material, nutrient supply, oxygen requirements, formation of exopolysaccharides, and gas residence time. An analysis is performed on the co-metabolic properties and the inhibition interactions of the methane-degrading bacteria, methanotrophs.
4 Hussain, M.Z.; Kalra, N.; Chander, S.; Sehgal, M.; Kumar, P. R.; Sharma, A. 2005. Impact of climate change and its variability on agriculture. SAARC Journal of Agriculture, 3:129-149.
Climate change ; Agricultural production ; Soil fertility ; Soil moisture ; Crop yield ; Insecta ; Pests ; Food production ; Food security ; Land use ; Social aspects ; Economic aspects ; Greenhouse gases ; Emission ; Carbon dioxide / India
(Location: IWMI HQ Call no: e-copy only Record No: H045907)
(0.92 MB)
Global climate is changing and it can have serious implicationsfor our food security through its direct and indirect effects on crops, soils, livestock, .fisheries, and pests. At the same time, this is an issue with several socio-economic-policy-political implications. In the developing countries including india, there has been relativezv less attention paid to this topic in an integrated mannel: Uncertainties and error association with the climate change models. impacts on soil and crop productivity by using crop growth models need to be minimized. The impact on agriculture has heen worked out through soil .fertility. soil moisture availahility, soil biological health, growth and yield of various crops, insects and pests of crops. The interaction among various climatic parameters, mainly temperature, rainfall, radiation and carbon dioxide concentration has been evaluated through growth and yield oj' crops by using simulation models. Vulnerable regions and options to adapt agricultural production under changing climate have been identified. General Circulation lv/odels .for climate change scenarios give quite contrasting results, with poor resolution on temporal and spatial scales. so the uncertainties in climate change scenes remains. Non-availability of suitable socio-economic scenarios for contrasting agro-ecologies adds to the chance q{ error propagation. Extrapolation of the point results ofthe impacts to a larger scale may bring in more errors, ifthe spatial and temporal variability in the socio-economic and biophysical aspects are not included. The ejfixtiveness of this kind of study is possible only ifinter-disciplinary team ofresearchers work together on a common mission ofclimate change related studies.
5 Froggatt, A. 2013. The water-energy nexus: meeting growing demand in a resource constrained world. In Lankford, B.; Bakker, K.; Zeitoun, M.; Conway, D. (Eds.). Water security: principles, perspectives and practices. Oxon, UK: Routledge. pp.115-129. (Earthscan Water Text Series)
Energy generation ; Energy consumption ; Water use ; Carbon dioxide ; Greenhouse gases ; Emission ; Biofuels
(Location: IWMI HQ Call no: 333.91 G000 LAN Record No: H046271)
6 Hoff, P. 2009. CO2: a gift from heaven: the blue CO2 booklet. Delft, Netherlands: Eburon Academic Publishers. 144p.
Carbon dioxide ; Emission ; Climate change ; Greenhouse gases ; Air pollution ; Energy generation ; Climate change ; Environmental effects ; Planting ; Treaties ; Population growth ; Investment
(Location: IWMI HQ Call no: 363.7392 G000 HOF Record No: H046474)
(0.27 MB)
7 Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.) 2014. Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). 405p.
Climate change ; Risks ; Sustainable development ; Ecosystem services ; Policy making ; Urbanization ; Living standards ; Rural areas ; Households ; Economic development ; Investment ; Poverty ; Energy consumption ; Carbon dioxide ; Greenhouse gases ; Emission ; International waters ; Fish industry ; Employment ; Stakeholders ; Food security ; Tourism ; Forest management ; Environmental services ; Costs ; Satellites ; Remote sensing ; GIS ; Flooding ; Farming ; Rice ; Sugar ; Farmers ; Case studies / Southeast Asia / Thailand / Cambodia / Lao People's Democratic Republic / Vietnam / Khon Kaen / Vang Vieng / Chiang Mai / Hue / Lam Dong / Mekong Region
(Location: IWMI HQ Call no: IWMI Record No: H046894)
http://www.sei-international.org/mediamanager/documents/Publications/sumernet_book_climate_risks_regional_integration_sustainability_mekong_region.pdf
https://vlibrary.iwmi.org/pdf/H046894.pdf
https://vlibrary.iwmi.org/pdf/H046894.pdf
(1.87 MB) (1.87 MB)
8 Li, L.; Vijitpan, T. 2014. Energy, economy, and climate change in the Mekong region. In Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.). Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). pp.9-28.
Climate change ; Economic growth ; Renewable energy ; Sustainable development ; Poverty ; Population ; Carbon dioxide ; Emission / Southeast Asia / Cambodia / Lao People's Democratic Republic / Myanmar / Thailand / Vietnam / China / Mekong Region / Yunnan
(Location: IWMI HQ Call no: IWMI, e-copy SF Record No: H046910)
(1.87 MB)
9 Tao, H.; Chunmiao, C. 2014. Quantifying carbon emissions derived from China’s investment and trade in the lower Mekong countries. In Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.). Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). pp.146-164.
Carbon dioxide ; Emission ; Foreign investment ; Trade ; Environmental effects / China / Cambodia / Lao People s Democratic Republic / Myanmar / Thailand / Vietnam
(Location: IWMI HQ Call no: IWMI, e-copy SF Record No: H046915)
(1.87 MB)
10 Kumar, S.; Kusakabe, K.; Pradhan, P.; Shrestha, P.; Goteti, S.; Tuan, T. A.; Meteejaroenwong, E.; Suwanprik, T.; Linh, K. 2014. Greenhouse gas emissions from tourism service providers in Chiang Mai, Thailand, and Hue, Vietnam. In Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.). Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). pp.248-269.
Greenhouse gases ; Industrial emission ; Tourism ; Carbon dioxide ; Waste gases ; Municipal authorities ; Industrial wastewater ; Solid wastes / Thailand / Vietnam / Mekong Region / Chiang Mai / Hue
(Location: IWMI HQ Call no: IWMI, e-copy SF Record No: H046920)
(1.87 MB)
11 Kumar, S. N.; Aggarwal, Kumar Pramod; Uttam, K.; Surabhi, J.; Rani, D. N. S.; Chauhan, N.; Saxena, R. 2016. Vulnerability of Indian mustard (Brassica juncea (L.) Czernj. Cosson) to climate variability and future adaptation strategies. Mitigation and Adaptation Strategies for Global Change, 21:403-420. [doi: https://doi.org/10.1007/s11027-014-9606-z]
Climate change ; Adaptation ; Models ; Temperature ; Rain ; Carbon dioxide ; Irrigated farming ; Crop yield ; Mustard / India
(Location: IWMI HQ Call no: e-copy only Record No: H046904)
A simulation study has been carried out using the InfoCrop mustard model to assess the impact of climate change and adaptation gains and to delineate the vulnerable regions for mustard (Brassica juncea (L.) Czernj. Cosson) production in India. On an all India basis, climate change is projected to reduce mustard grain yield by ~2 % in 2020 (2010–2039), ~7.9 % in 2050 (2040–2069) and ~15 % in 2080 (2070–2099) climate scenarios of MIROC3.2.HI (a global climate model) and Providing Regional Climates for Impact Studies (PRECIS, a regional climate model) models, if no adaptation is followed. However, spatiotemporal variations exist for the magnitude of impacts. Yield is projected to reduce in regions with current mean seasonal temperature regimes above 25/10 °C during crop growth. Adapting to climate change through a combination of improved input efficiency, additional fertilizers and adjusting the sowing time of current varieties can increase yield by ~17 %. With improved varieties, yield can be enhanced by ~25 % in 2020 climate scenario. But, projected benefits may reduce thereafter. Development of short-duration varieties and improved crop husbandry becomes essential for sustaining mustard yield in future climates. As climatically suitable period for mustard cultivation may reduce in future, short-duration (<130 days) cultivars with 63 % pod filling period will become more adaptable. There is a need to look beyond the suggested adaptation strategy to minimize the yield reduction in net vulnerable regions.
12 Kumar, S. N.; Aggarwal, Pramod Kumar; Rani, D. N. S.; Saxena, R.; Chauhan, N.; Jain, S. 2014. Vulnerability of wheat production to climate change in India. Climate Research, 59(3):173-187. [doi: https://doi.org/10.3354/cr01212]
Climate change ; Adaptation ; Temperature ; Agricultural production ; Crop production ; Wheat ; Models ; Carbon dioxide ; Fertilization ; Emission ; Soils / India
(Location: IWMI HQ Call no: e-copy only Record No: H046905)
The production of wheat, a crop sensitive to weather, may be influenced by climate change. The regional vulnerability of wheat production to climate change in India was assessed by quantifying the impacts and adaptation gains in a simulation analysis using the InfoCrop-WHEAT model. This study projects that climate change will reduce the wheat yield in India in the range of 6 to 23% by 2050 and 15 to 25% by 2080. Even though the magnitude of the projected impacts is variable, the direction is similar in the climate scenarios of both a global (GCMMIROC3.2.HI) and a regional climate model (RCM-PRECIS). Negative impacts of climate change are projected to be less severe in low-emission scenarios than in high-emission scenarios. The magnitude of uncertainty varies spatially and increases with time. Differences in sowing time is one of the major reasons for variable impacts on yield. Late-sown areas are projected to suffer more than the timely-sown ones. Considerable spatial variation in impacts is projected. Warmer central and south-central regions of India may be more affected. Despite CO2 fertilization benefits in future climate, wheat yield is projected to be reduced in areas with mean seasonal maximum and minimum temperatures in excess of 27 and 13°C, respectively. However, simple adaptation options, such as change in sowing times, and increased and efficient use of inputs, could not only offset yield reduction, but could also improve yields until the middle of the century. Converting late-sown areas into timely-sown regions could further significantly improve yield even with the existing varieties in the near future. However, some regions may still remain vulnerable despite the adaptation interventions considered. Therefore, this study emphasises the need for intensive, innovative and location-specific adaptations to improve wheat productivity in the future climate.
13 Islam, A.; Shirsath, P. B.; Kumar, S. N.; Subash, N.; Sikka, A. K.; Aggarwal, Pramod Kumar. 2014. Modeling water management and food security in India under climate change. In Ahuja, L. R.; Ma, L.; Lascano, R. J. (Eds.). Advances in agricultural systems modeling transdisciplinary research, synthesis, and applications: practical applications of agricultural system models to optimize the use of limited water. Madison, WI, USA: American Society of Agronomy; Crop Science Society of America; Soil Science Society of America. pp.267-315. [doi: https://doi.org/10.2134/advagricsystmodel5.c11]
Water management ; Water availability ; Water allocation ; Water supply ; Water resources ; Water productivity ; Irrigation water ; Irrigation schemes ; Irrigation canals ; Food security ; Climate change ; Impact assessment ; Adaptation ; Temperature ; Rain ; Precipitation ; Evapotranspiration ; Hydrology ; Simulation models ; Erosion ; Crop production ; Crop yield ; Rice ; Maize ; Wheat ; Watershed management ; River basins ; Carbon dioxide / India
(Location: IWMI HQ Call no: e-copy only Record No: H046908)
Climate change and variability will impact water availability and the food security of India. Trend analyses of historical data indicate an increase in temperature and changes in rainfall pattern in different parts of the country. The general circulation models (GCMs) also project increased warming and changes in precipitation patterns over India. This chapter presents examples of model applications in water management and crop yield simulation in India, focusing on climate change impact assessment. Simulation models have been successfully applied for rotational water allocation, deficit irrigation scheduling, etc. in different canal commands. Application of a universal soil loss equation in a distributed parametric modeling approach by partitioning watershed into erosion response units suggests that by treating only 14% of the watershed area, a 47% reduction in soil loss can be achieved. Simulation studies conducted using different hydrological models with different climate change projections and downscaling approaches showed varied hydrological responses of different river basins to the future climate change scenarios, depending on the hydrological model, climate change scenarios, and downscaling approaches used. Crop yield modeling showed decreases in irrigated and rainfed rice (Oryza sativa L.) yields under the future climate change scenarios, but the decrease is marginal for rainfed rice. Maize (Zea mays L.) yields in monsoon may be adversely affected by a rise in atmospheric temperature, but increased rain can partly offset those losses. Wheat (Triticum aestivum L.) yields are likely to be reduced by 6 to 23% and 15 to 25% during the 2050s and 2080s, respectively. A combined bottom-up participatory process and top-down integrated modeling tool could provide valuable information for locally relevant climate change adaptation planning.
14 Kurchania, A. K.; Rathore, N. S. 2014. Renewable energy policies to shrink the carbon footprint in cities: developing CSR programmes. In Maheshwari, B.; Purohit, R.; Malano, H.; Singh, V. P.; Amerasinghe, Priyanie. (Eds.). The security of water, food, energy and liveability of cities: challenges and opportunities for peri-urban futures. Dordrecht, Netherlands: Springer. pp.165-179. (Water Science and Technology Library Volume 71)
Renewable energy ; Policy ; Carbon dioxide ; Greenhouse gases ; Sustainability ; Periurban areas ; Environmental effects ; Ecological factors ; Solar energy ; Biomass ; Biofuels ; Hydrogen ; Geothermal energy ; Water power ; Wind power ; Social welfare ; Ecology ; Case studies
(Location: IWMI HQ Call no: IWMI Record No: H047027)
The need for urban development patterns that are more ecologically sustainable becomes obvious in present context. Therefore, renewable energy is gaining importance day by day, particularly in the era of rapid urbanisation. As such, renewable energy could help in an organisation’s Corporate Social Responsibility (CSR). As part of a CSR initiative, a business can set up renewable energy systems in urban and peri-urban areas that will be maintained by local residents who have undergone training. Installing a mix of solar panels, wind mills and biogas plants can make urban and peri-urban areas energy self-sufficient. By adding renewable energy projects to their CSR activities, businesses will make a very positive intervention that will go a long way in improving the socio-economic lot of the disempowered. Increased use of renewable energy sources and thus energy conversation is the main pillar of a sustainable energy supply. This paper deals with the importance of Renewable Energy Sources in this context and strategies to be adopted for integrating these sources as a means of a sustainable development mechanism for procuring carbon credits and meeting different energy tasks in urban and peri-urban areas.
15 Xie, J.; Zhang, K.; Hu, L.; Pavelic, Paul; Wang, Y.; Chen, M. 2015. Field-based simulation of a demonstration site for carbon dioxide sequestration in low-permeability saline aquifers in the Ordos Basin, China. Hydrogeology Journal, 23(7):1465-1480. [doi: https://doi.org/10.1007/s10040-015-1267-9]
Carbon dioxide ; Carbon sequestration ; Saline water ; Aquifers ; River basins ; Geological process ; Reservoir storage ; Wells ; Temperature ; Porosity ; Permeability / China / Ordos Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047063)
(3.84 MB)
Saline formations are considered to be candidates for carbon sequestration due to their great depths, large storage volumes, and widespread occurrence. However, injecting carbon dioxide into low-permeability reservoirs is challenging. An active demonstration project for carbon dioxide sequestration in the Ordos Basin, China, began in 2010. The site is characterized by a deep, multi-layered saline reservoir with permeability mostly below 1.0×10-14 m2. Field observations so far suggest that only small-to-moderate pressure buildup has taken place due to injection. The Triassic Liujiagou sandstone at the top of the reservoir has surprisingly high injectivity and accepts approximately 80 % of the injected mass at the site. Based on these key observations, a three-dimensional numerical model was developed and applied, to predict the plume dynamics and pressure propagation, and in the assessment of storage safety. The model is assembled with the most recent data and the simulations are calibrated to the latest available observations. The model explains most of the observed phenomena at the site. With the current operation scheme, the CO2 plume at the uppermost reservoir would reach a lateral distance of 658 m by the end of the project in 2015, and approximately 1,000 m after 100 years since injection. The resulting pressure buildup in the reservoir was below 5 MPa, far below the threshold to cause fracturing of the sealing cap (around 33 MPa).
16 Iqbal, M. C. M. 2014. Forests and climate change. Soba Parisara Prakashanaya, 23(2):15-22.
Climate change ; Forests ; Greenhouse effect ; Greenhouse gases ; Carbon dioxide ; Carbon cycle ; Fossil fuels ; Deforestation
(Location: IWMI HQ Call no: P 8158 Record No: H047159)
(3.07 MB)
17 Dawson, J. J. C. 2013. Loss of soil carbon to the atmosphere via inland surface waters. In Lal, R.; Lorenz, K.; Huttl, R. F.; Schneider, B. U.; von Braun, J. (Eds.). Ecosystem services and carbon sequestration in the biosphere. Dordrecht, Netherlands: Springer. pp.183-208.
Carbon cycle ; Soil organic matter ; Soil water ; Inland waters ; Surface water ; Ecosystems ; Atmosphere ; Carbon dioxide ; Biogeochemical cycle ; Rivers ; Sediment
(Location: IWMI HQ Call no: 333.72 G000 LAL Record No: H047169)
(2.23 MB)
18 Nadeau, M-J. 2013. Moving the climate change agenda forward. In Brittlebank, W.; Saunders, J. (Eds.). Climate action 2013-2014. [Produced for COP19 - United Nations Climate Change Conference, Warsaw, Poland, 11-22 November 2013]. London, UK: Climate Action; Nairobi, Kenya: United Nations Environment Programme (UNEP). pp.58-61.
Climate change ; Energy resources ; Energy consumption ; Environmental sustainability ; Organizations ; Policy making ; Stakeholders ; Carbon dioxide ; Emission reduction
(Location: IWMI HQ Call no: 577.22 G000 BRI Record No: H047244)
(1.56 MB)
19 Moore, N.; Benmazhar, H.; Brent, K.; Du, H.; Iese, V.; Kone, S.; Luwesi, C. N.; Scott, V.; Smith, J.; Talberg, A.; Thompson, M.; Zhuo, Z. 2015. Climate engineering: early reflections on a complex conversation. Climate Law, 5(2-4):295-301. [doi: https://doi.org/10.1163/18786561-00504007]
Climate change ; Geology ; Engineering ; Environmental sustainability ; Governance ; Air pollution ; Carbon dioxide ; Earth sciences ; Uncertainty ; Stakeholders
(Location: IWMI HQ Call no: e-copy only Record No: H047282)
(0.10 MB)
20 Jagerskog, A.; Clausen, T. J.; Holmgren, T.; Lexen, K. (Eds.) 2014. Energy and water: the vital link for a sustainable future. Stockholm, Sweden: Stockholm International Water Institute (SIWI). 61p. (SIWI Report 33)
Energy conservation ; Water resources ; Water power ; Water security ; Water supply ; Water demand ; Freshwater ; Environmental effects ; Natural gas ; Carbon dioxide ; Emission ; Forests ; Climate change adaptation ; Sustainability ; Ecosystems ; International cooperation ; Partnerships ; Economic aspects ; Social aspects ; Poverty ; Urban areas
(Location: IWMI HQ Call no: 333.79 G000 JAG Record No: H047354)
http://www.worldwaterweek.org/wp-content/uploads/2014/08/2014_WWW_Report_web-2.pdf
https://vlibrary.iwmi.org/pdf/H047354.pdf
https://vlibrary.iwmi.org/pdf/H047354.pdf
(1.62 MB) (1.62 MB)
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