scholarly journals Innovative Trend Analysis of Air Temperature and Precipitation in the Jinsha River Basin, China

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3293
Author(s):  
Zengchuan Dong ◽  
Wenhao Jia ◽  
Ranjan Sarukkalige ◽  
Guobin Fu ◽  
Qing Meng ◽  
...  
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
River Basin ◽  
Air Temperature ◽  
Climatic Factors ◽  
Trend Detection ◽  
Spatial Pattern Analysis ◽  
Jinsha River ◽  
Temperature And Precipitation ◽  
Innovative Trend Analysis

Trend detection based on hydroclimatological time series is crucial for understanding climate change. In this study, the innovative trend analysis (ITA) method was applied to investigate trends in air temperature and precipitation over the Jinsha River Basin (JRB), China, from 1961 to 2016 based on 40 meteorological stations. Climatic factors series were divided into three categories according to percentile, and the hidden trends were evaluated separately. The ITA results show that annual and seasonal temperatures have significantly increased whereas the variation range of annual temperature tended to narrow. Spatial pattern analysis of the temperature indicates that high elevation areas show more increasing trends than flat areas. Furthermore, according to ITA, significant increase trends are observed in annual precipitation and “high” category of spring precipitation. The sub-basins results show a significant decreasing trend in elevation zones of ≤2000 m and an increasing trend where elevation is >2000 m. Moreover, linkage between temperature and precipitation was analyzed and the potential impact of the combined changes was demonstrated. The results of this study provide a reference for future water resources planning in the JRB and will help advance the understanding of climate change in similar areas.

scholarly journals On the issue of fluctuations in the extreme maximum runoff under the conditions of the expected climate change in the Marmarik river basin

2020 ◽  
Vol 149 ◽  
pp. 03010
Author(s):  
Varduhi Margaryan ◽  
Elena Fedotova
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Air Temperature ◽  
Global Climate ◽  
Atmospheric Precipitation ◽  
Maximum Flow ◽  
Absolute Maximum ◽  
Temperature And Precipitation ◽  
Runoff Rate ◽  
Maximum Runoff

The paper analyzes the peculiarities of formation of the absolute maximum runoff of the Marmarik river evaluates the patterns of multi-year fluctuations of maximum runoff rates in different river sites and gives a forecast of the maximum runoff in the context of global climate change. Absolute values of the maximum river runoff for different scenarios of climate change are estimated. The actual observational data of Armhydromet for maximum runoff rate, the air temperature and precipitation were used as the source material. As a result of the study, it turned out that there is only a tendency to decrease in the values of maximum runoff. It turned out that for all scenarios and cases in the Marmarik river basin, a different degree of changes in the maximum flow is observed. Moreover, the largest decrease in the maximum runoff of the Marmarik river basin is expected under the conditions of an increase in the average air temperature of the spring season by 2,7—3,9 degrees Celsius and a decrease in the amount of spring atmospheric precipitation by 2,4—2,6 %.

scholarly journals The tendencies of air temperature and precipitation in the mountainous part of the Prut River basin for the years 2007–2009

2012 ◽  
Vol 2 (40) ◽  
pp. 237-244
Author(s):  
P. Shuber ◽  
V. Berezyak
Keyword(s):  
Climate Change ◽  
Key Words ◽  
River Basin ◽  
Air Temperature ◽  
Meteorological Station ◽  
Temperature And Precipitation ◽  
Prut River

Based of the Pozhyzhevs’ka and Yaremche meteorologie Stations data, the air temperature climatic norm and the precipitation have been determinated for 1961–1990 years. The deviation in comparison with the average air temperature and precipitation the 2007–2009 years from their climatic norm for the Chornohora Landscape of the Highland Pasture and the Liubizhnia Landscape of the Lowland-LowEarth-Lump physico-geographic areas of the Ukrainian Carpathians in the River Prut Basion has been provided for the tendencies analysis of climate change in the study area. The norm climatic value for the air temperature overrun on 1.3 °С at Chornohora Landscape (Pozhyzhevs’ka meteorologic Station) and 1.6 °С at Liubizhnia Landscape (Yaremche meteorological Station) has been identified for period 2007–2009. The overrun of the norm precipitation consist 383.6 mm in the first and 155.2 mm in the second study areas. Key words: precipitation, air temperature, climatic norm, dynamics, Landscape

scholarly journals A data portal for regional climatic trend analysis in a Peruvian High Andes region

2011 ◽  
Vol 6 (1) ◽  
pp. 219-226 ◽  
Author(s):  
M. Schwarb ◽  
D. Acuña ◽  
Th. Konzelmann ◽  
M. Rohrer ◽  
N. Salzmann ◽  
...  
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Climate Change Adaptation ◽  
Air Temperature ◽  
Data Series ◽  
Adaptation Measures ◽  
Climatic Trend ◽  
Temperature And Precipitation ◽  
Temperature Trends ◽  
Data Portal

Abstract. In the frame of a Swiss-Peruvian climate change adaptation initiative (PACC), operational and historical data series of more than 100 stations of the Peruvian Meteorological and Hydrological Service (SENAMHI) are now accessible in a dedicated data portal. The data portal allows for example the comparison of data series or the interpolation of spatial fields as well as download of data in various data formats. It is thus a valuable tool supporting the process of data homogenisation and generation of a regional baseline climatology for a sound development of adequate climate change adaptation measures. The procedure to homogenize air-temperature and precipitation data series near Cusco city is outlined and followed by an exemplary trend analysis. Local air temperature trends are found to be in line with global mean trends.

scholarly journals Mapping Spatiotemporal Changes in Vegetation Growth Peak and the Response to Climate and Spring Phenology over Northeast China

2020 ◽  
Vol 12 (23) ◽  
pp. 3977
Author(s):  
Xiaoying Wang ◽  
Yuke Zhou ◽  
Rihong Wen ◽  
Chenghu Zhou ◽  
Lili Xu ◽  
...  
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Northeast China ◽  
Climatic Factors ◽  
Spring Phenology ◽  
Entire Study ◽  
Vegetation Growth ◽  
Temperature And Precipitation ◽  
Spatiotemporal Changes ◽  
Vegetation Production

Global climate change has led to significant changes in seasonal rhythm events of vegetation growth, such as spring onset and autumn senescence. Spatiotemporal shifts in these vegetation phenological metrics have been widely reported over the globe. Vegetation growth peak represents plant photosynthesis capacity and responds to climate change. At present, spatiotemporal changes in vegetation growth peak characteristics (timing and maximum growth magnitude) and their underlying governing mechanisms remain unclear at regional scales. In this study, the spatiotemporal dynamics of vegetation growth peak in northeast China (NEC) was investigated using long-term NDVI time series. Then, the effects of climatic factors and spring phenology on vegetation growth peak were examined. Finally, the contribution of growth peak to vegetation production variability was estimated. The results of the phenological analysis indicate that the date of vegetation green up in spring and growth peak in summer generally present a delayed trend, while the amplitude of growth peak shows an increasing trend. There is an underlying cycle of 11 years in the vegetation growth peak of the entire study area. Air temperature and precipitation before the growing season have a small impact on vegetation growth peak amplitude both in its spatial extent and magnitude (mainly over grasslands) but have a significant influence on the date of the growth peak in the forests of the northern area. Spring green-up onset has a more significant impact on growth peak than air temperature and precipitation. Although green-up date plays a more pronounced role in controlling the amplitude of the growth peak in forests and grasslands, it also affects the date of growth peak in croplands. The amplitude of the growth peak has a significant effect on the inter-annual variability of vegetation production. The discrepant patterns of growth peak response to climate and phenology reflect the distinct adaptability of the vegetation growth peak to climate change, and result in different carbon sink patterns over the study area. The study of growth peak could improve our understanding of vegetation photosynthesis activity over various land covers and its contribution to carbon uptake.

scholarly journals Статистический анализ влияния изменения климата на аграрный сектор экономики (на примере Ярославской области)

2019 ◽  
pp. 28-32
Author(s):  
V.V. Zholudeva
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Air Temperature ◽  
Climatic Factors ◽  
Multiple Correlation Coefficient ◽  
Coefficient Of Determination ◽  
Correlation And Regression Analysis ◽  
Temperature And Precipitation ◽  
Annual Amount ◽  
Positive Effect

Проведено исследование влияния происходящих в настоящее время климатических изменений на развитие сельского хозяйства Ярославской области. Выполнен корреляционнорегрессионный анализ, позволяющий выявить влияние средней температуры воздуха и среднегодового количества выпавших осадков на урожайность основных сельскохозяйственных культур, а именно, картофеля, зерновых культур и овощей открытого грунта. Результаты проведённого корреляционнорегрессионного анализа показали, что на урожайность данных культур оказывает небольшое положительное влияние рост температуры воздуха и отрицательное изменение количества выпавших осадков. Наибольшее положительное влияние происходящих климатических изменений было отмечено для зерновых культур. На основании полученных значений коэффициентов детерминации можно утверждать, что изменение урожайности зерновых в 17 случаев, картофеля в 8 и овощей открытого грунта в 14 случаев зависит от природноклиматических факторов. Сопоставление множественного коэффициента корреляции со шкалой силы связи Чеддока свидетельствует, что урожайность всех исследуемых сельскохозяйственных культур находится в слабой зависимости от совокупности климатических показателей, температуры воздуха и осадков.The research of the influence of current climate change on the development of agriculture in the Yaroslavl region has been conducted. A correlation and regression analysis has been performed to reveal the effect of the average air temperature and the average annual amount of past precipitation on the productivity of the main agricultural crops, namely, potatoes, cereals and field vegetables. The results of the correlation and regression analysis showed that the increase in air temperature has a slight positive effect on the yield of these crops and a negative one on the change in the amount of past precipitation. The greatest positive effect of ongoing climate change was noted for grain crops. On the ground of the obtained values of the coefficient of determination it can be argued that changes in cereal yields in 17 of cases, potatoes in 8 ones and field vegetables in 14 of cases depend on natural and climatic factors. A comparison of the multiple correlation coefficient with the Chaddock bond strength scale testifies that the productivity of all the studied crops is weakly dependent on the combination of climatic indicators, air temperature and precipitation.

scholarly journals Impacts of climate change and LULC change on runoff in the Jinsha River Basin

2020 ◽  
Vol 30 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Qihui Chen ◽  
Hua Chen ◽  
Jun Zhang ◽  
Yukun Hou ◽  
Mingxi Shen ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Jinsha River ◽  
Lulc Change ◽  
Impacts Of Climate Change

scholarly journals Spatiotemporal climate and vegetation greenness changes and their nexus for Dhidhessa River Basin, Ethiopia

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Gizachew Kabite Wedajo ◽  
Misgana K. Muleta ◽  
Berhan Gessesse ◽  
Sifan A. Koriche
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
River Basin ◽  
Climate Change Adaptation ◽  
Spatial Relationship ◽  
Local Scale ◽  
Climate Variables ◽  
Climatic Zones ◽  
Vegetation Greenness ◽  
Climate Change Adaptation Strategies

Abstract Background Understanding spatiotemporal climate and vegetation changes and their nexus is key for designing climate change adaptation strategies at a local scale. However, such a study is lacking in many basins of Ethiopia. The objectives of this study were (i) to analyze temperature, rainfall and vegetation greenness trends and (ii) determine the spatial relationship of climate variables and vegetation greenness, characterized using Normalized Difference in Vegetation Index (NDVI), for the Dhidhessa River Basin (DRB). Quality checked high spatial resolution satellite datasets were used for the study. Mann–Kendall test and Sen’s slope method were used for the trend analysis. The spatial relationship between climate change and NDVI was analyzed using geographically weighted regression (GWR) technique. Results According to the study, past and future climate trend analysis generally showed wetting and warming for the DRB where the degree of trends varies for the different time and spatial scales. A seasonal shift in rainfall was also observed for the basin. These findings informed that there will be a negative impact on rain-fed agriculture and water availability in the basin. Besides, NDVI trends analysis generally showed greening for most climatic zones for the annual and main rainy season timescales. However, no NDVI trends were observed in all timescales for cool sub-humid, tepid humid and warm humid climatic zones. The increasing NDVI trends could be attributed to agroforestry practices but do not necessarily indicate improved forest coverage for the basin. The change in NDVI was positively correlated to rainfall (r2 = 0.62) and negatively correlated to the minimum (r2 = 0.58) and maximum (r2 = 0.45) temperature. The study revealed a strong interaction between the climate variables and vegetation greenness for the basin that further influences the biophysical processes of the land surface like the hydrologic responses of a basin. Conclusion The study concluded that the trend in climate and vegetation greenness varies spatiotemporally for the DRB. Besides, the climate change and its strong relationship with vegetation greenness observed in this study will further affect the biophysical and environmental processes in the study area; mostly negatively on agricultural and water resource sectors. Thus, this study provides helpful information to device climate change adaptation strategies at a local scale.

scholarly journals Effects of climatic factors on the net primary productivity in the source region of Yangtze River, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Yuan ◽  
Yongqiang Wang ◽  
Jijun Xu ◽  
Zhiguang Wu
Keyword(s):  
Climate Change ◽  
Primary Productivity ◽  
Yangtze River ◽  
Net Primary Productivity ◽  
Climatic Factors ◽  
Source Region ◽  
Primary Reason ◽  
Vegetation Types ◽  
Temperature And Precipitation ◽  
Increasing Trend

AbstractThe ecosystem of the Source Region of Yangtze River (SRYR) is highly susceptible to climate change. In this study, the spatial–temporal variation of NPP from 2000 to 2014 was analyzed, using outputs of Carnegie–Ames–Stanford Approach model. Then the correlation characteristics of NPP and climatic factors were evaluated. The results indicate that: (1) The average NPP in the SRYR is 100.0 gC/m2 from 2000 to 2014, and it shows an increasing trend from northwest to southeast. The responses of NPP to altitude varied among the regions with the altitude below 3500 m, between 3500 to 4500 m and above 4500 m, which could be attributed to the altitude associated variations of climatic factors and vegetation types; (2) The total NPP of SRYR increased by 0.18 TgC per year in the context of the warmer and wetter climate during 2000–2014. The NPP was significantly and positively correlated with annual temperature and precipitation at interannual time scales. Temperature in February, March, May and September make greater contribution to NPP than that in other months. And precipitation in July played a more crucial role in influencing NPP than that in other months; (3) Climatic factors caused the NPP to increase in most of the SRYR. Impacts of human activities were concentrated mainly in downstream region and is the primary reason for declines in NPP.

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