Spatial Distribution and Temporal Trends in Precipitation Concentration Indices for the Southwest China

2015 ◽  
Vol 29 (11) ◽  
pp. 3941-3955 ◽  
Author(s):  
Peng Shi ◽  
Miao Wu ◽  
Simin Qu ◽  
Peng Jiang ◽  
Xueyuan Qiao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Southwest China ◽  
Temporal Trends ◽  
Precipitation Concentration ◽  
Concentration Indices

scholarly journals Spatial Distribution and Temporal Trends in the Daily Precipitation Concentration across the Yarlung Tsangpo River Basin: Eastern Himalaya of China

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mengtao Zhu ◽  
Meng Li ◽  
Chunyu Liu ◽  
Yinfei Wang ◽  
Jiqiu Li ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
River Basin ◽  
Daily Precipitation ◽  
Temporal Trends ◽  
Dry Season ◽  
Precipitation Concentration ◽  
Rescaled Range Analysis ◽  
Significant Downward Trend ◽  
Yarlung Tsangpo ◽  
Yarlung Tsangpo River

Understanding the temporal inequality in precipitation is of great importance for water resource management, environmental risk management, and ecological conservation. This study investigated the spatial patterns and trends of the daily precipitation concentration over the Yarlung Tsangpo River Basin using the concentration index (CI) and the Lorentz asymmetric coefficient (LAC). A Mann–Kendall test and Hurst’s rescaled range analysis were used to detect the change in CI trends. The CI ranged from 0.58 to 0.65, suggesting that a quarter of the rainiest days contributed approximately 69–78% of the total precipitation. The LAC analysis indicated that the nonuniform distribution of precipitation was mainly attributed to a large proportion of days with light rainfall. Compared with that of the central region, the daily precipitation in the western and eastern regions was more irregular. At a seasonal scale, the dry season had a less homogeneous spatial distribution of CI compared to that of the wet season. Most areas exhibited no significant trends in CI from 1970 to 2017. A quarter of the stations presented a significant downward trend in CI, which were primarily found in the central and northern regions. In addition, the future trends of CI in most areas mostly agree with those of the current state; however, the majority of stations exhibited an uneven precipitation distribution in the dry season.

scholarly journals Spatial distribution of the daily, monthly, and annual precipitation concentration indices in the Lake Urmia basin, Iran

Időjárás ◽  
2020 ◽  
Vol 124 (1) ◽  
pp. 73-95
Author(s):  
Yousef Ramezani ◽  
Abbas Khashei-Siuki ◽  
Mohammad Nazeri Tahroudi
Keyword(s):  
Spatial Distribution ◽  
Annual Precipitation ◽  
Lake Urmia ◽  
Precipitation Concentration ◽  
Concentration Indices

scholarly journals Impact of immediate initiation of antiretroviral therapy among men who have sex with men infected with HIV in Chengdu, southwest China: trends analysis, 2008–2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chenyao Wu ◽  
Baiyang Zhang ◽  
Zhen Dai ◽  
Qianwen Zheng ◽  
Zhenhua Duan ◽  
...  
Keyword(s):  
Southwest China ◽  
Temporal Trends ◽  
Interrupted Time Series ◽  
Health Information Systems ◽  
Hiv Diagnosis ◽  
Annual Percent Change ◽  
Percent Change ◽  
Hiv Epidemic ◽  
Sex With Men ◽  
Treat All

Abstract Background Given the rampant HIV epidemic among men who have sex with men (MSM) in Chengdu, southwest China, Treat All policy, defined as immediate antiretroviral therapy (ART) initiation after HIV diagnosis, was implemented since 2014. Real-world research evaluating impacts of immediate ART on HIV epidemics is needed to optimize policy-making as national and international guidelines have been lowering ART eligibility threshold. The purpose of this study is to: assess temporal trends of the HIV epidemic and impacts of Treat All policy among MSM; and lay foundation for HIV-related policy evaluation using longitudinal routine data from health information systems. Methods Data used in this study were HIV sentinel seroprevalence, annual reported HIV cases and ART coverage rate among MSM in Chengdu from 2008 to 2018, derived from national HIV/AIDS information system. Temporal trends of the HIV epidemic were described using Joinpoint Regression Program. Interrupted time-series method was deployed to evaluate Treat All policy. Results HIV sentinel seroprevalence rose from 11.20% in 2008 to 17.67% in 2013 and Annual Percent Change (APC) was 8.25% (95% CI − 2.40%, 20.07%), then decreased to 5.17% in 2018 (APC = − 19.63%, 95% CI − 27.54%, − 10.86%). Newly reported HIV cases increased from 168 cases in 2008 to 1232 cases in 2015 (APC = 26.99%, 95% CI 21.32%, 32.93%), and reduced to 1014 cases in 2018 (APC = − 8.80%, 95% CI − 18.45%, 2.01%). ART coverage rate has been climbing from 11.11% in 2008 to 92.29% in 2018 and Average Annual Percent Change was 16.09% (95% CI 11.76%, 20.59%). Results of interrupted time-series models showed that compared to an annual increase of 0.87% during pre-policy period, there was a decline of 3.08% (95% CI − 0.0366%, − 0.0250%) per year of HIV sentinel seroprevalence since 2014; and compared to an annual increase of 116 cases before 2014, there was an annual drop of 158 newly reported HIV cases (95% CI − 194.87%, − 121.69%) during the post-policy period. Conclusions Immediate ART after HIV diagnosis could potentially curb HIV transmission at population level among MSM, along with other strategies. Future assessment of HIV prevention and control policy can be carried out using routinely collected longitudinal data from health information systems.

Spatial Distribution of a Daily, Monthly and Annual Precipitation Concentration Index

2019 ◽  
pp. 1-27
Author(s):  
Farshad Ahmadi ◽  
Mohammad Nazeri ◽  
Rasoul Mirabbasi ◽  
Keivan Khalili ◽  
Deepak Jhajharia
Keyword(s):  
Spatial Distribution ◽  
Concentration Index ◽  
Annual Precipitation ◽  
Precipitation Concentration Index ◽  
Precipitation Concentration

scholarly journals Assessment of Spatial Distribution and Temporal Trends of Precipitation and Its Extremes over Nigeria

2021 ◽  
Vol 10 (03) ◽  
pp. 331-352
Author(s):  
Moses Owoicho Audu ◽  
Emmanuel Ejembi ◽  
Tertsee Igbawua
Keyword(s):  
Spatial Distribution ◽  
Temporal Trends

scholarly journals Temporal Trends in the Spatial Distribution of Impervious Cover Relative to Stream Location

2016 ◽  
Vol 52 (2) ◽  
pp. 409-419 ◽  
Author(s):  
J. Wickham ◽  
A. Neale ◽  
M. Mehaffey ◽  
T. Jarnagin ◽  
D. Norton
Keyword(s):  
Spatial Distribution ◽  
Temporal Trends ◽  
Impervious Cover
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