
Nidhi SinghIUF-Leibniz Research Institute for Environmental Medicine
Nidhi Singh
Doctor of Philosophy
Working as a postdoc (Environmental Epidemiologist) at IUF-Leibniz Research Institute for Environmental Medicine
About
32
Publications
27,721
Reads
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380
Citations
Citations since 2017
Introduction
Dr. Nidhi Singh joined the IUF as a postdoc (Environmental Epidemiologist) in October 2021 and currently, she is investigating the epidemiological aspects of air pollution and climate-induced aging (Indian cohort), and chronic diseases of the skin (IUF genuine SALIA-Study). In 2020, Dr. Singh won the prestigious Green Talent award by the German Federal Ministry of Education and Research (BMBF) for her research work on the association between air pollution / extreme temperatures and human health.
Additional affiliations
March 2021 - September 2021
January 2015 - February 2021
Position
- Senior Researcher
Description
- I wish to investigate the role of climate variability, extreme temperature events, DTR and air pollution on human health. Through collection of health data from longitudinal cohort studies, municipal corporations and other data repositories we aim to asses repercussions on changes in human morbidity and mortality. My research interests includes data retrieval of observed and model climate data; geospatial analysis; aerosol, extreme events and DTR; environmental health
Education
January 2015 - December 2020
November 2013 - December 2014
July 2011 - June 2013
Publications
Publications (32)
Climate extremes are often associated with increased human mortality and such association varies considerably with space and time. We therefore, aimed to systematically investigate the effects of temperature extremes, daily means and diurnal temperature variations (DTV) on mortality in the city of Varanasi, India during 2009-2016. Time series data...
The urban population has increased from about 750 million in 1951 to 4.2 billion in 2018. This uncontrolled population growth has resulted in an unplanned, fast and unsustainable urban development. Due to this, environmental conditions at the local and global ecosystem levels have deteriorated. However, the public health aspect of urban ecology has...
Heat wave (HW) and Severe Heat Wave (SHW) events are the manifestations of extreme temperature causing an array of impacts on health, ecosystem, and economy. Since the mid‐20th century, an increasing trend in the characteristics of heat waves has been observed over India causing an increased rate in human mortality. Our study aimed to analyze month...
The short term effect of multiple air pollutants e.g. aerosols (black carbon, BC; PM2.5 and PM10) and trace gases (NO2, SO2, and O3) on all-cause mortality was systematically investigated in a typical urban pollution hotspot over central Indo-Gangetic Plain (IGP). To our knowledge, this would be the first report of mortality estimates for exposure...
The effects of climate on infectious-diseases could influence the health impacts, particularly in children in countries with unfair socioeconomic condition. In a prospective cohort of 461 children under 16-years-of-age in Varanasi-city, India, the association of maximum-temperature (Tmax), relative-humidity (RH), absolute-humidity (AH), rainfall (R...
Multi-model climate projections are increasingly used to quantify the impacts of climate change on major staple crops under different climate change scenarios. Despite uncertainty associated with different climate projections, it helps in providing a direction and magnitude of change in crop production in future with different uncertainty levels. I...
https://doi.org/10.1093/bjd/ljad008
The rising global prevalence of skin diseases and related disabilities has elevated this category of illnesses to the fourth most common cause of nonfatal disease burden in recent decades, and skin diseases can be highly climate sensitive.¹ In addition to other environmental and genetic determinants, both climate...
Diurnal temperature range (DTR) which reflects the difference between the daily maximum (Tmax) and minimum temperature (Tmin) is an important indication of changing climate and a critical thermal metric to assess the impact on agriculture, biodiversity, water resources, and human health. The major aim of this study is to assess the probable future...
It has now been well established that the rise in global mercury has driven climate change phenomena that have led to extreme temperature events, sea level rise, change in the hydrological cycle, frequent droughts and floods, and cyclones and forest fires and caused a myriad of adverse impacts on vital worldwide sectors such as agriculture, water a...
Regional climate models (RCMs) are routinely applied for regional climate assessments. The RCM simulated rainfall typically overpredict the light rain/drizzle events. To correct the typical errors noted in RCM rainfall simulations, in this study, three bias‐correction methods: linear scaling (SCL), local intensity scaling (LOCI), and empirical quan...
Diurnal temperature range (DTR) is an important indicator of climatic change and a critical thermal metric to assess the impact on agriculture and human health. This study investigates the seasonal, annual and decadal changes in the spatio‐temporal trend in DTR and air temperatures (maximum: Tmax and minimum: Tmin) during 1951‐2016 and solar radiat...
India and other Southeast Asian countries are severely affected by Japanese encephalitis (JE), one of the deadliest vector-borne disease threat to human health. Several epidemiological observations suggest climate variables play a role in providing a favorable environment for mosquito development and virus transmission. In this study, generalized a...
CANEGRO-Sugarcane model was used to assess the impact of climate change on sugarcane in different combinations of elevated temperature and CO2 concentration. Additionally, we used dynamically downscaled bias-corrected regional climate model (RCM) data using RegCM4 under RCP4.5 scenarios (2040–2060) to project the future change in sugarcane stalk fr...
Potential impact of change in climate on Indian agriculture may be significantly adverse, if not disastrous. There are projections of potential loss in wheat yield due to the rise in daily minimum (Tmin) and maximum (Tmax) temperature, but only few researchers have considered the extent of such loss on a spatial scale. We therefore, systematically...
Climate variability impacts the components of hydrological cycle especially evapotranspiration (ET) and soil moisture, that plays a crucial role in determining water flux of an agriculture system and is thus, essential to study the response of ET to climate change. The present study is an attempt to understand the trend in observed ET (1978–2003) a...
Heat extremes are observed as Heat Waves (HW) and Severe Heat Waves (SHW) during pre-monsoon and early summer monsoon season during March-July over India. Studies suggest a marked change in the characteristics of heat waves and severe heat waves in recent decades observing an increasing trend in the intensity, frequency and duration of their occurr...
The entire Indo-Gangetic Basin (IGB) has long been exposed to high ambient particulate matter concentration with aerodynamic diameter <10 μm (PM10) (Pande et al., 2018; Dey and Girolamo 2011; Singh et al., 2017). A zone of accumulated and persisting airborne particulates has especially been recognized over central IGB (Kumar et al., 2018). The long...
The paper aims to explore the biasness in the RegCM climate model outputs for diverse agro-climatic zones of Uttar Pradesh, India, with emphasis on wheat (Rabi growing season) and rice (Kharif growing season) yields with and without bias correction using quantile mapping approach for the baseline period of 1971–2000. The result shows that RCM highl...
For evaluating the impacts of climate change on crop yields regional climate models (RCMs) are now considered better than general circulation models (GCMs). In order to assess what extent the climate output of RCM-RegCM4.0 is biased, this is analysed by comparing the base line simulated daily weather with the observed weather for the corresponding...
This study is an attempt to find out the effect of climate variables on respiratory, cardiovascular,
vector
-borne and diarrheal diseases from 2004
-2013 carried out at Sir Sunder
Lal hospital, Varanasi, Uttar Pradesh with
focus on eastern Uttar Pradesh. The study shows that
cases of Chronic Obstructive Pulmonary Disorder
(COPD) and
Cardiovascul...
India is blessed with several perennial rivers among one such rivers is the river “Ganges”. River ganges has been given a very special place in hindu mythology and is entitled as “Maa Ganga”. At the confluence of river Bhagirathi and Alaknanda at Devprayag river Ganga originates. Ganges covers a total of 26.4% geographical area of India and support...
The National Seminar on Sustainable Water Resource Management in Era of Changing Climate (NSWRM-2014) on 10-11 January 2014 organised by the Institute of Environment and Sustainable Development and Environmental Science and Technology, Banaras Hindu University, witnessed the presence of experts from environmentalists, industrialists and experts on...
Water is a major driver of all the processes
of the universe. Yet, this resource
in the modern era is beset with a myriad
of problems pertaining to quality, availability
and management. Changing climate
adds to the threat of water scarcity
in the near future, which now demands
radical solutions. Integrated water resource
management and sustainable...
Questions
Question (1)
I need to calculate meteorological parameters (Maximum and minimum temperature, rainfall and relative humidity) for impact study on health for 90 wards of Varanasi (a city in India) that is having a single meteorological observatory (IMD station). What ways should i incorporate to do that?