The Coincident Relationships between the Qehan Lake Area Fluctuation and the Climate Change in the Nearly 40 Years

2011 ◽  
Vol 137 ◽  
pp. 286-290 ◽  
Author(s):  
Xi Chun ◽  
Mei Jie Zhang ◽  
Mei Ping Liu
Keyword(s):  
Climate Change ◽  
Inner Mongolia ◽  
Climatic Factors ◽  
Annual Precipitation ◽  
Lake Area ◽  
Annual Average ◽  
Average Temperature ◽  
Changing Patterns ◽  
Annual Evaporation ◽  
Annual Average Temperature

The objective of this study is to analyse the climate changing patterns chronologically for exposing the coincident relationships between the lake area fluctuation and the climate change in Qehan lake of Abaga county of Inner Mongolia. The results show that there’s highly interrelation between the changes of the lake area and the climatic factors here, the annual average temperature and annual evaporation are negatively interrelate to the lake area fluctuation, and the annual precipitation interrelate to it is positive. The lake area has descended about 75 km2 during the nearly past 40 years. There were about two considerable lake expansions in 1973, 1998 through the generally lake area descending process.

scholarly journals The influence of climatic factors on the health condition of forests in the Silesian Lowland

2019 ◽  
Vol 48 (No. 10) ◽  
pp. 451-458 ◽  
Author(s):  
J. Stanovský
Keyword(s):  
Forest Ecosystems ◽  
Climatic Factors ◽  
Precipitation Amount ◽  
Health Condition ◽  
Annual Precipitation ◽  
Old Growth ◽  
Annual Average ◽  
Average Temperature ◽  
Picea Excelsa ◽  
Annual Average Temperature

In the nineties of the 20<sup>th</sup> century, forest ecosystems in the Silesian Lowland were seriously disturbed by a large disaster with massive increase in the occurrence of biotic and abiotic harmful agents. The majority of old growth was cut there especially that with allochthonous spruce (Picea excelsa). Relations between the course of climatic factors (annual precipitation amount, annual average temperature) and the level of unregulated felling were studied.

scholarly journals Characteristics of Climate Change in the Lancang-Mekong Sub-Region

Climate ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 115 ◽  
Author(s):  
Han Li ◽  
Wei Song
Keyword(s):  
Climate Change ◽  
Wavelet Analysis ◽  
Linear Trend ◽  
Kendall Test ◽  
Annual Precipitation ◽  
Climatic Data ◽  
Annual Average ◽  
Average Temperature ◽  
Mean Temperature ◽  
Annual Average Temperature

The Lancang-Mekong River is an important international river in Southeastern Asia. In recent years, due to climate change, natural disasters, such as drought and flooding, have frequently occurred in the region, which has a negative effect on the sustainable development of the social economy. Due to the lack of meteorological monitoring data in the six countries across the region, the study of the characteristics of climate change in this area is still scarce. In this paper, we analyze the characteristics of climate change in the Lancang-Mekong sub-region (LMSR) during 2020–2100 based on the climatic data of CMIP5, using the linear trend rate method, cumulative anomaly method, the Mann–Kendall test, and Morlet wavelet analysis. The results showed that the annual mean temperature and annual precipitation in the LMSR increased significantly. The annual average temperature in this area increased at a rate of 0.219 °C/10a (p < 0.05) and 0.578 °C/10a (p < 0.05) in the RCP4.5 and RCP8.5 scenarios, respectively; the annual precipitation in the area was 29.474 mm/10a (p < 0.05) and 50.733 mm/10a (p < 0.05), respectively. The annual average temperature in the region changed abruptly from low to high temperatures in 2059 for the RCP4.5 scenario and 2063 for RCP8.5. The annual precipitation in the area changed from less to more in 2051 for the RCP4.5 scenario and 2057 for RCP8.5. The results of wavelet analysis showed that the annual mean temperature in the LMSR had no significant change period at the 95% confidence level under the scenario of RCP4.5 and RCP8.5. Under the scenario of RCP4.5 and RCP8.5, the annual precipitation had a significant 3.5-year and 2.5-year periodicity, respectively. Extreme climate events tended to increase against the background of global warming, especially in high emission scenarios.

scholarly journals Contrasting Evolution Patterns of Endorheic and Exorheic Lakes on the Central Tibetan Plateau and Climate Cause Analysis during 1988–2017

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1962
Author(s):  
Zhilong Zhao ◽  
Yue Zhang ◽  
Zengzeng Hu ◽  
Xuanhua Nie
Keyword(s):  
Climate Change ◽  
Tibetan Plateau ◽  
Climatic Factors ◽  
Global Climate ◽  
Rapid Expansion ◽  
Annual Precipitation ◽  
The Tibetan Plateau ◽  
Lake Area ◽  
Climate Change Research ◽  
Mean Temperature

The alpine lakes on the Tibetan Plateau (TP) are indicators of climate change. The assessment of lake dynamics on the TP is an important component of global climate change research. With a focus on lakes in the 33° N zone of the central TP, this study investigates the temporal evolution patterns of the lake areas of different types of lakes, i.e., non-glacier-fed endorheic lakes and non-glacier-fed exorheic lakes, during 1988–2017, and examines their relationship with changes in climatic factors. From 1988 to 2017, two endorheic lakes (Lake Yagenco and Lake Zhamcomaqiong) in the study area expanded significantly, i.e., by more than 50%. Over the same period, two exorheic lakes within the study area also exhibited spatio-temporal variability: Lake Gaeencuonama increased by 5.48%, and the change in Lake Zhamuco was not significant. The 2000s was a period of rapid expansion of both the closed lakes (endorheic lakes) and open lakes (exorheic lakes) in the study area. However, the endorheic lakes maintained the increase in lake area after the period of rapid expansion, while the exorheic lakes decreased after significant expansion. During 1988–2017, the annual mean temperature significantly increased at a rate of 0.04 °C/a, while the annual precipitation slightly increased at a rate of 2.23 mm/a. Furthermore, the annual precipitation significantly increased at a rate of 14.28 mm/a during 1995–2008. The results of this study demonstrate that the change in precipitation was responsible for the observed changes in the lake areas of the two exorheic lakes within the study area, while the changes in the lake areas of the two endorheic lakes were more sensitive to the annual mean temperature between 1988 and 2017. Given the importance of lakes to the TP, these are not trivial issues, and we now need accelerated research based on long-term and continuous remote sensing data.

scholarly journals Climate trends and climate change scenarios in Ho Chi Minh City

2022 ◽  
Vol 964 (1) ◽  
pp. 012009
Author(s):  
Anh Ngoc Le ◽  
Thi Nguyen Vo ◽  
Van Hong Nguyen ◽  
Dang Mau Nguyen
Keyword(s):  
Climate Change ◽  
Ho Chi Minh City ◽  
Linear Regression Method ◽  
Climate Change Scenarios ◽  
Base Period ◽  
Climate Trends ◽  
Annual Average ◽  
Average Temperature ◽  
Average Rainfall ◽  
Annual Average Temperature

Abstract This paper reviews the trends of climate and climate change scenarios in Ho Chi Minh City (HCMC). The linear regression method is used to determine the trend and variation of past climate (1980-2019) at Tan Son Hoa station. The annual average temperature tends to increase about 0.024°C/year (r2=0.54) and the rainfall tends to increase about 6.03 mm/year (r2=0.67). For temperature scenario, by 2030 the annual average temperature in the whole city will increase from 0.80- 0.81°C (RCP4.5) and 0.92-0.98°C (RCP8.5). By 2050, it will increase 1.23-1.33°C (RCP4.5) and 1.55-1.68°C (RCP8.5). By 2100, it will increase 1.75-1.88°C (RCP4.5) and 3.20-3.55°C (RCP8.5) compared to the base period. Regarding rainfall scenario, in 2030, the city-wide average rainfall will increase by 12-21% (RCP4.5) and by 12-17% (RCP8.5). By 2050, the average rainfall is likely to increase by 13-15% (RCP4.5) and 15-17% (RCP8.5). By 2100, the average rainfall is likely to increase by 18-22% (RCP4.5) and 20-21% (RCP8.5) compared to the base period.

scholarly journals Relationships between Temporal and Spatial Changes in Lakes and Climate Change in the Saline-Alkali Concentrated Distribution Area in the Southwest of Songnen Plain, Northeast China, from 1985 to 2015

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3557
Author(s):  
Zhaoyang Li ◽  
Yidan Cao ◽  
Jie Tang ◽  
Yao Wang ◽  
Yucong Duan ◽  
...  
Keyword(s):  
Climate Change ◽  
Northeast China ◽  
Climatic Factors ◽  
Test Method ◽  
Annual Precipitation ◽  
Distribution Area ◽  
Lake Area ◽  
Songnen Plain ◽  
Contribution Rate ◽  
Large Lakes

The southwest of Songnen Plain, Northeast China, has an arid climate and is a typical concentrated distribution area of saline-alkali soil. The terrain here is low-lying, with many small, shallow lakes that are vulnerable to climate change. This paper used Landsat satellite remote sensing images of this area from 1985 to 2015 to perform interpretation of lake water bodies, to classify the lakes according to their areas, and to analyze the spatial dynamic characteristics of lakes in different areas. During the 30 years from 1985 to 2015, the number of lakes in the study area decreased by 71, and the total lake area decreased by 266.85 km2. The decrease was more serious in the east and northeast, and the appearance and disappearance of lakes was drastic. The Mann–Kendall test method was used to analyze trends in meteorological factors (annual mean temperature, annual precipitation, and annual evaporation) in the study area and perform mutation tests. Through correlation analysis and multiple generalized linear model analysis, the response relationship between lake change and climate change was quantified. The results showed that the average temperature in the area is rising, and the annual precipitation and evaporation are declining. Temperature and precipitation mainly affected lakes of less than 1 km2, with a contribution rate of 31.2% and 39.4%, and evaporation had a certain correlation to the total lake area in the study area, with a contribution rate of 60.2%. Small lakes are susceptible to climatic factors, while large lakes, which are mostly used as water sources, may be influenced more by human factors. This is the problem and challenge to be uncovered in this article. This research will help to improve our understanding of lake evolution and climate change response in saline-alkali areas and provide scientific basis for research into lakes’ (reservoirs’) sustainable development and protection.

scholarly journals Evolution of meteorological factors during 1980–2015 in the Daqing River Basin, North China

2021 ◽  
Author(s):  
Yufei Jiao ◽  
Jia Liu ◽  
Chuanzhe Li ◽  
Qingtai Qiu ◽  
Xiaojiao Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Time Scales ◽  
Upward Trend ◽  
Annual Average ◽  
Average Temperature ◽  
Rescaled Range Analysis ◽  
Main Period ◽  
Annual Average Temperature

Abstract Precipitation and temperature data, such as the homogeneity, trend, abrupt change, and periodicity, obtained at 40 meteorological stations in the Daqing River Basin from 1980 to 2015 are analyzed using the Mann–Kendall method, anomaly accumulation, Rescaled range analysis (R/S analysis) and wavelet transform. The regularity of climate change is studied to provide guidelines for the rational utilization of water resources. The results show that the annual precipitation has an insignificant upward trend and suddenly changes in 2007. The precipitation evolution can be divided into three types of periodicity, that is, 22–32, 8–16, and 3–7 year time scales, where the 28 year scale is the first main period of precipitation change. The annual average temperature shows a notable upward trend, with 1992 as the change year. The annual average temperature can be divided into three types of periodicity, that is, the 25–32, 14–20, and 5–10 year time scales, where the 28 year scale is the first main period of temperature change. In conclusion, the climate of the Daqing River Basin gradually turns into humid and hot climate. The results provide valuable reference for the assessment of the effects of climate change, and the management of water resources.

scholarly journals Contructing Climate Change Scenarios for Ho Chi Minh City

2018 ◽  
Vol 34 (1S) ◽  
Author(s):  
Mai Van Khiem
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Global Climate Models ◽  
Ho Chi Minh City ◽  
Annual Rainfall ◽  
Climate Change Scenarios ◽  
Annual Average ◽  
Rcp Scenarios ◽  
Average Temperature ◽  
Annual Average Temperature

Abstract: This article presents the results of constructing climate change scenarios for Ho Chi Minh City (HCMC)based on the climate change scenarios of Vietnam published in 2016 by the Ministry of Natural Resources and Environment. Four high- resolution regional climate models include CCAM, clWRF, PRECIS, RegCM were used to downscale results of global climate models. The results show that the annual average temperature in HCMC tends to increase in the future compared to the baseline period 1986-2005, the increase depends on each RCP scenario. By the end of the century, the annual average temperature in HCMC had an increase of about 1.7÷1.9°C under the RCP4.5 scenario and 3.2÷3.6°C under RCP8.5.Meanwhile, annual rainfall in HCMC tends to increase in most periods under both of RCP scenarios. By the end of the century, annual rainfall in HCMC increases from 15% to 25% in the RCP4.5 scenario and 20-25% in the RCP8.5 scenario. Annual rainfall in coastal areas increases more than inland areas. Keyword: Climate change scenarios, Ho Chi Minh city

Vegetation Coverage change and its influencing factors in the Mu Us Sandy Land from 2000 to 2015

2020 ◽  
Author(s):  
Yan Gao
Keyword(s):  
Influencing Factors ◽  
Annual Growth ◽  
Annual Precipitation ◽  
Vegetation Coverage ◽  
Sandy Land ◽  
Annual Average ◽  
Growth Season ◽  
Mu Us Sandy Land ◽  
Average Temperature ◽  
Annual Average Temperature

&lt;p&gt;Introducing and establishing sand-binding vegetation, as one of important approaches for combating desertification, has already applied in the ecological restoration and recovery in Mu Us sandy land for more than 60 years. Study on the dynamics of vegetation coverage in Mu Us Sandy Land and its influencing factors is thus a crucial requirement for guiding and establishing sand-binding vegetation. Based on MOD13A2 NDVI time-series data from 2000 to 2015&amp;#65292;annual average temperature, annual precipitation, annual growth season precipitation, the land-use/land-cover (LULC) data, and topographic data, explored its dynamics during 2000&amp;#8211;2015 and detected their influencing factors by the geo-detector method. The results showed that: (1) the vegetation coverage decrease from east to west in the Mu Us sandy land; (2) from 2000 to 2015&amp;#65292;the vegetation coverage in the Mu Us sandy land has been increasing generally, the growth rate was 0.006 /a; (3) the number of pixels with significant increase in vegetation coverage accounted for 33.24% of the study area, meanwhile there was obvious spatial difference, the areas with significant or extremely significant increase of vegetation coverage were mainly distribute in eastern parts; (4) the main influencing factors of vegetation coverage change were annual precipitation, annual growth season precipitation, annual average temperature and LULC. Results indicate that, the influence of climate factors on Mu Us sandy land vegetation coverage was higher than LULC. It is necessary to put forward a suitable vegetation restoration plan under the projected climate change.&lt;/p&gt;

scholarly journals Study on desertification reversal factors in Maowusu sandy land in China

2020 ◽  
Vol 199 ◽  
pp. 00015
Author(s):  
Zhang Ying ◽  
Lijun Wang ◽  
AiJun Yi ◽  
Fei Li ◽  
Ernst-August Nuppenau
Keyword(s):  
Research Result ◽  
Annual Precipitation ◽  
Vegetation Coverage ◽  
Sandy Land ◽  
Annual Average ◽  
Control Plan ◽  
Average Temperature ◽  
Dummy Variable ◽  
Desertification Reversal ◽  
Annual Average Temperature

Based on the data of China’s economic and social big data platform from 2000 to 2019, this paper studies and analyzes the development status and influencing factors of desertification in Maowusu sandy land in China. Based on the exploratory analysis (EFA) and the dummy variable regression model (DVRM), the research result shows that the annual precipitation is the main climate factor affecting the vegetation coverage in this area. And for every 100 mm increase in annual precipitation, vegetation coverage will increase by 10%. In addition, the annual average temperature also has a significant impact on the vegetation coverage. For every 1 °C increase in the annual average temperature, the vegetation coverage will increase by 2.5%. Analysis of policy factors shows that the policy effects of the 2005 National Desert Control Plan (2005-2010) and the 2011 National Desert Control Plan (2011-2020) etc. can increase vegetation coverage by 3.4% and 4.7%respectively compared with the base period level in 2000. The study reveals the important role of climate and policy factors in the reversion of desertification in Maowusu sandy land. The study is of great significance and value to desertification management and related policy-making in China.

Comparative analysis of average temperature trends in Jalisco, Mexico, based on original and homogenized series to estimate signs of Climate Change

2019 ◽  
pp. 1-10
Author(s):  
Valentina Davydova-Belitskaya ◽  
Andrea Liliana Godínez-Carvente ◽  
René Navarro-Rodríguez ◽  
Martha Georgina Orozco-Medina
Keyword(s):  
Climate Change ◽  
Quality Control ◽  
High Resolution ◽  
National Level ◽  
Spatial Behavior ◽  
Data Sets ◽  
Climatic Data ◽  
Annual Average ◽  
Average Temperature ◽  
Annual Average Temperature

In recent decades, great attempts have been made to create high-quality climatic data sets and spatial resolution on a continental and national scale, as well as the analysis of their variability and change in daily extremes. However, in Mexico there is still no high-resolution database at a national level that complies with quality control, including the review of homogeneity of long series. This paper shows the results of variability analysis and the detection of climate change signs in the state of Jalisco, performed in a high-resolution database developed for the maximum, minimum and average temperature according to the quality control procedures of climatic records. From these two sets, the spatial behavior of annual average temperature estimated for three climatic periods was analyzed. Among the results obtained with stations which have complied with quality control, the presence of annual average temperature increases at 0.31°C in 1971-2000, 0.61°C in 1981-2010 and a very intense increase, 0.81°C for the period 1991-2010. Likewise, it was observed that the Jalisco coasts show an increase of 0.2 to 0.4°C, while the continental region registers an increase up to 0.8°C.

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