Spatial and temporal evolution of recreational function in the Sanjiangyuan region of Qinghai Province under climate change

Climate change and population growth have increased demand for water in arid regions. For over half a century, cloud seeding has been evaluated as a technology to increase water supply; statistical approaches have compared seeded to nonseeded events through precipitation gauge analyses. Here, a physically based approach to quantify snowfall from cloud seeding in mountain cloud systems is presented. Areas of precipitation unambiguously attributed to cloud seeding are isolated from natural precipitation (<1 mm h−1). Spatial and temporal evolution of precipitation generated by cloud seeding is then quantified using radar observations and snow gauge measurements. This study uses the approach of combining radar technology and precipitation gauge measurements to quantify the spatial and temporal evolution of snowfall generated from glaciogenic cloud seeding of winter mountain cloud systems and its spatial and temporal evolution. The results represent a critical step toward quantifying cloud seeding impact. For the cases presented, precipitation gauges measured increases between 0.05 and 0.3 mm as precipitation generated by cloud seeding passed over the instruments. The total amount of water generated by cloud seeding ranged from 1.2 × 105 m3 (100 ac ft) for 20 min of cloud seeding, 2.4 × 105 m3 (196 ac ft) for 86 min of seeding to 3.4 x 105 m3 (275 ac ft) for 24 min of cloud seeding.

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ENDOGENOUS PERCEPTIONS AND MEASURES FOR AGROPASTORALISTS’ ADAPTATION IN THE SAHELIAN AREA OF BURKINA FASO

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v7.i10.2019.377 ◽

2020 ◽

Vol 7 (10) ◽

pp. 62-74

Author(s):

Sanou Daouda ◽

Toe Bernadette ◽

Traore Almamy ◽

Kabore Adama ◽

Tamboura H. Hamidou ◽

...

Keyword(s):

Climate Change ◽

Burkina Faso ◽

Local Adaptation ◽

Temporal Evolution ◽

Meteorological Data ◽

Secondary Data ◽

Adaptation Strategies ◽

Structured Interviews ◽

Pastoral Production ◽

Livestock Farmers

The study was conducted to understand the perceptions and local adaptation strategies of rural sahelian communities in Burkina Faso to climate change on ruminant rearing practices. For this purpose, the study was carried out in the rural commune of Bani by collecting primary from semi-structured interviews with 143 producers and secondary data of temperature, rainfall and their spatial and temporal evolution from 2005 to 2016. Analysis of these data reveals that 67.13% of the producers are male and 32.86% female, with an average age of 55 ± 0.3 years. These respondents were agropastoralists with an average of 3.5 ha of cultivated land, using traditional seeds (100% of respondents) and improved seeds (58.7%) and rearing local breeds of ruminants. For climate change, respondents notified an increase in temperature and a decrease in rainfall that corroborates the analysis of the meteorological data collected. The consequences of climate change on livestock farmers' resources are food insecurity, lack of pasture, drought and low animal productivity. The local adaptation strategies applied by livestock farmers are the diversification of agro-sylvo-pastoral production (88.11%) and income-generating activities (70%). In the study area, diversification is the strategy adopted by agro-pastoralists to ensure food security and provide income to meet the daily needs of families.

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Temporal evolution of landslide hazard for a road infrastructure in the Municipality of Nocera Inferiore, Italy, under the effect of climate change

10.5194/nhess-2017-416 ◽

2017 ◽

Author(s):

Marco Uzielli ◽

Guido Rianna ◽

Fabio Ciervo ◽

Paola Mercogliano ◽

Unni K. Eidsvig

Keyword(s):

Climate Change ◽

Critical Infrastructure ◽

Temporal Evolution ◽

Spatial Location ◽

Temporal Variations ◽

Landslide Hazard ◽

Landslide Risk ◽

Campania Region ◽

Landslide Triggering ◽

Landslide Runout

Abstract. In recent years, landslide events have extensively affected pyroclastic covers of the Campania Region in southern Italy, causing victims and conspicuous economic damages. Due to the high criticality of the area, a proper assessment of future variations in landslide occurrences and related risk is crucial for policy-makers, administrators and infrastructure stakeholders. This paper addresses work performed within the FP7 INTACT project, having the goal to provide a risk framework for critical infrastructure while accounting for climate change. The study is a part of the testing and application of the framework in the Campania region, assessing the temporal variation in landslide hazard specifically for a section of the Autostrada A3 Salerno–Napoli motorway, which runs across the toe of the Monte Albino relief in the Municipality of Nocera Inferiore. In the study, hazard is defined as the yearly probability of a spatial location within a study area to be affected by landslide runout given the occurrence of rainfall-related triggering conditions. Hence, hazard depends both on the likelihood of rainfall-induced landslide triggering within the study area and the likelihood that the specific location will be affected following landslide runout. Landslide triggering probability is calculated through the application of Bayesian theory and relying on local historical rainfall data. Temporal variations in triggering probability due to climate change are estimated from present-day to the year 2100 through the characterization of rainfall patterns and related uncertainties using the EURO-CORDEX Ensemble. Reach probability, defining the probability that a given spatial location is affected by debris flows, is calculated spatially through numerical simulation of landslide runout. The temporal evolution of hazard is investigated specifically in the proximity of the motorway, as to provide a quantitative support for landslide risk analysis.

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Econometric analysis of the impacts of climate change on the livestock production in Qinghai Province

Chinese Journal of Population Resources and Environment ◽

10.1080/10042857.2013.848009 ◽

2013 ◽

Vol 11 (4) ◽

pp. 299-307

Author(s):

Yanfei Li ◽

Xinsheng Wang ◽

Zhihui Li ◽

Fang Yin

Keyword(s):

Climate Change ◽

Livestock Production ◽

Econometric Analysis ◽

Qinghai Province ◽

Impacts Of Climate Change

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Mid-Holocene climate change and its effect on prehistoric cultural evolution in eastern Qinghai Province, China

Quaternary Research ◽

10.1016/j.yqres.2011.10.004 ◽

2012 ◽

Vol 77 (1) ◽

pp. 23-30 ◽

Cited By ~ 61

Author(s):

Guanghui Dong ◽

Xin Jia ◽

Chengbang An ◽

Fahu Chen ◽

Yan Zhao ◽

...

Keyword(s):

Climate Change ◽

Cultural Evolution ◽

Pollen Assemblage ◽

Holocene Climate ◽

Qinghai Province ◽

Holocene Climate Change ◽

Qijia Culture ◽

Prehistoric Culture ◽

Elemental Contents ◽

Majiayao Culture

We studied the mid-Holocene climate change in eastern Qinghai Province, China and its impact on the evolution of Majiayao (3980–2050 BC) and Qijia (2183–1635 BC) cultures, near the important Neolithic site of Changning. The investigation focused on analyses of grain size, magnetic susceptibility, ratios of elemental contents, and pollen assemblage from a loess-paleosol sequence. The results indicate that the climate was wet during 5830–4900 cal yr BP, which promoted the development of early-mid Majiayao culture in eastern Qinghai Province. However, 4900–4700 cal yr BP were drought years in the region, responsible for the decline and eastward movement of prehistoric culture during the period of transition from early-mid to late Majiayao culture. The climate turned wet again during 4700–3940 cal yr BP, which accelerated the spread of Qijia culture to the middle reaches of the Huangshui River, including the Changning site.

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青海省互助县农作物物候对气候变化的响应Response of Crops to Climate Change across Huzhu County of Qinghai Province

Climate Change Research Letters ◽

10.4236/ccrl.2012.12009 ◽

2012 ◽

Vol 01 (02) ◽

pp. 74-79

Author(s):

黄瑞灵

Keyword(s):

Climate Change ◽

Qinghai Province

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Modeling impacts of climate change and grazing effects on plant biomass and soil organic carbon in the Qinghai–Tibetan grasslands

10.5194/bg-2017-272 ◽

2017 ◽

Author(s):

Wenjuan Zhang ◽

Feng Zhang ◽

Jiaguo Qi ◽

Fujiang Hou

Keyword(s):

Climate Change ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Plant Biomass ◽

Future Climate ◽

Ecosystem Change ◽

Future Climate Change ◽

Climate Change Scenarios ◽

Qinghai Province ◽

Grazing Intensities

Abstract. The Qinghai Province supports over 40 % of the human population but occupies about 29 % of the land area, and thus it plays an important role in the entire Qinghai–Tibetan Plateau (QTP). The dominant land cover is grassland, which has been severely degraded over the last decade due to a combination of increased human activities and climate change. Numerous studies indicate that the plateau is sensitive to recent global climate change, but the drivers and consequences of grassland ecosystem change are controversial, especially the effects of climate change and grazing patterns on the grassland biomass and soil organic carbon (SOC) storage in this region. In this study, we used the DeNitrification-DeComposition (DNDC) model and two climate change scenarios (representative concentration pathways: RCP4.5 and RCP8.5) to understand how the grassland biomass and SOC pools might respond to different grazing intensities under future climate change scenarios. More than 1400 grassland biomass sampling points and 46 SOC points were collected, which were then used to validate the simulated results. The results showed that compared with the past 30 years, the biomass and SOC exhibited a significant decreasing trend under all grazing intensities in the RCP4.5 and RCP8.5 scenarios, and RCP8.5 had a more negative future effect on the biomass compared with RCP4.5. Thus, future climate change could lead to greater temporal and spatial variations in the grassland biomass and SOC. Overall, climate change may be the major factor that leads to fluctuations in the inter-annual grassland biomass on the Qinghai Province, where the grazing intensity has significantly affected the grassland vegetation dynamics. Therefore, urgent ecological conservation of vulnerable grassland ecosystems is required to effectively regulate grazing practices.

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