Jinyan Zhan

ORCID: 0000-0002-4698-4207
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About
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Research Areas
  • Land Use and Ecosystem Services
  • Environmental Changes in China
  • Remote Sensing and Land Use
  • Conservation, Biodiversity, and Resource Management
  • Environmental Impact and Sustainability
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Watershed Management Studies
  • Energy, Environment, Economic Growth
  • Remote Sensing in Agriculture
  • Rangeland Management and Livestock Ecology
  • Forest Management and Policy
  • Sustainability and Ecological Systems Analysis
  • Economic and Environmental Valuation
  • Water resources management and optimization
  • Climate change impacts on agriculture
  • Soil erosion and sediment transport
  • Efficiency Analysis Using DEA
  • Urban Heat Island Mitigation
  • Environmental Quality and Pollution
  • Climate variability and models
  • Regional Economic and Spatial Analysis
  • Aeolian processes and effects
  • Urban Green Space and Health
  • Water Resources and Sustainability
  • Forest, Soil, and Plant Ecology in China

Beijing Normal University
2016-2025

State Key Joint Laboratory of Environment Simulation and Pollution Control
2014-2024

Rutgers, The State University of New Jersey
2013

North China Electric Power University
2011

Chinese Academy of Sciences
2001-2009

Institute of Geographic Sciences and Natural Resources Research
2002-2007

Caelum Research Corporation (United States)
1997-2002

Xinjiang University
2002

Goddard Space Flight Center
1997

It has been widely accepted that there is a close relationship between the land use type and water quality. There have some researches on this from perspective of spatial configuration in recent years. This study aims to analyze influence various types quality within Chaohu Lake Basin based monitoring data RS 2000 2008, with small watershed as basic unit analysis. The results indicated was significant negative correlation forest grassland pollution, built‐up area had impacts quality, while...

10.1155/2013/329187 article EN cc-by The Scientific World JOURNAL 2013-01-01

In this paper we present and develop a new model, which have calledDynamics of Land Systems (DLS). The DLS model is capable integrating multiple datasources to simulate the dynamics land system. Three main modules are incorporatedin DLS: spatial regression module, explore relationship between uses andinfluencing factors, scenario analysis module region during thesimulation period disaggregation allocate use changes froma regional level disaggregated grid cells. A case study on Taips County...

10.3390/s8020620 article EN cc-by Sensors 2008-02-04

Complex land use/cover patterns in urban areas significantly influence their prevailing surface temperature conditions. As a result of differential cooling and heating various use/cover, large ranges are associated with bare land, built-up etc. low found vegetation cover water bodies. Extremely high conditions have direct negative impacts on health conditions, therefore imperative to study. Thus, an attempt has been made this research analyze seasonal variations city Delhi. Landsat Thematic...

10.3390/en7031811 article EN cc-by Energies 2014-03-24

This study evaluated hydrological impacts of potential climate and land use changes in Heihe River Basin Northwest China. The future data for the simulation with Soil Water Assessment Tool (SWAT) were prepared using a dynamical downscaling method. uses simulated Dynamic Land Use System (DLS) model by establishing Multinomial Logistic Regression (MNL) six types. In 2006–2030, basin will experience significant change prominent increase urban areas, moderate grassland, great decrease unused...

10.1155/2015/410198 article EN cc-by Advances in Meteorology 2015-01-01

Abstract To characterize atmospheric dissolvable iron over the Southern Ocean (SO) and coastal East Antarctica (CEA), bulk size‐segregated (0.056–18 µm in diameter) aerosols were collected from 34°S, 109°E to 69°S, 76°E between 66°S, 110°E during a cruise November 2010 March 2011. Aerosols analyzed for total Fe Fe(II) by UV/Visible spectroscopy inductively coupled plasma‐mass spectrometry. The average concentrations of 19 ng m −3 (range: 10–38 ) SO 26 14–56 CEA. 0.22 0.13–0.33 0.53 0.18–1.3...

10.1002/2013jd020367 article EN Journal of Geophysical Research Atmospheres 2013-10-29

10.1016/j.pce.2017.03.005 article EN Physics and Chemistry of the Earth Parts A/B/C 2017-03-18
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