Causative impact of air pollution on evapotranspiration in the North China Plain

Environmental Research

Volumn 158, Issue , 2017, Pages 436-442

  Yao, Ling ^a,b  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b NANJING NORMAL UNIVERSITY   (China)

Author keywords

Agricultural irrigation; Causality detection; Correlation analysis; PM2.5 concentration; Reference evapotranspiration

Indexed keywords

GROUND WATER; AIR POLLUTANT; PARTICULATE MATTER;

ATMOSPHERIC POLLUTION; CLIMATE CHANGE; CONCENTRATION (COMPOSITION); CORRELATION; DETECTION METHOD; DISPERSION; EVAPOTRANSPIRATION; IRRIGATION; MAPPING METHOD; PARTICULATE MATTER; POLLUTION EFFECT; WATER USE; WATER USE EFFICIENCY;

AIR POLLUTION; ARTICLE; CHINA; CITY; COMBUSTION; CORRELATION ANALYSIS; CROP; EVAPOTRANSPIRATION; HEATING; IRRIGATION (AGRICULTURE); METEOROLOGY; PARTICULATE MATTER; PLANT LEAF; PRIORITY JOURNAL; SOLAR RADIATION; SUMMER; TEMPERATURE; WATER SUPPLY; AIR POLLUTANT; ANALYSIS; PARTICLE SIZE; PHYSIOLOGY;

CHINA; HEBEI; JINGJINJI; NORTH CHINA PLAIN; ZHANGJIAKOU;

AGRICULTURAL IRRIGATION; AIR POLLUTANTS; AIR POLLUTION; CHINA; CROPS, AGRICULTURAL; PARTICLE SIZE; PARTICULATE MATTER; PLANT TRANSPIRATION;

EID: 85021720758     PISSN: 00139351     EISSN: 10960953     Source Type: Journal    
DOI: 10.1016/j.envres.2017.07.007     Document Type: Article

References (40)

1. Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration. Guidelines for Computing Crop Water Requirements. FAO Irrig. Drain. Pap. 56, FAO, Rome, p. 300.
2. Annandale, J., Jovanovic, N., Benadé, N., Allen, R., Software for missing data error analysis of penman-monteith reference evapotranspiration. Irrig. Sci. 21:2 (2002), 57–67.
3. Bandyopadhyay, A., Bhadra, A., Swarnakar, R.K., Raghuwanshi, N.S., Singh, R., Estimation of reference evapotranspiration using a user-friendly decision support system: dss_et. Agric. Forest Meteorol. 154–155:2 (2012), 19–29.
4. Cao, C., Jiang, W., Wang, B., et al. Inhalable microorganisms in Beijing's PM2.5 and PM10 pollutants during a severe smog event. Environ. Sci. Technol. 48 (2014), 1499–1507.
5. Cao, C., Zheng, S., Singh, R.P., Characteristics of aerosol optical properties and meteorological parameters during three major dust events (2005–2010) over Beijing, China. Atmos. Res. 150:1 (2014), 129–142.
6. Chan, C.K., Yao, X.H., Air pollution in mega cities in China. Atmos. Environ. 42:1 (2008), 1–42.
7. Chen, Y., Schleicher, N., Fricker, M., et al. Long-term variation of black carbon and PM2.5 in Beijing, China with respect to meteorological conditions and governmental measures. Environ. Pollut. 269 (2016), 269–278.
8. Chen, Z., Cai, J., Gao, B., Bing, X., Shuang, D., et al. Detecting the causality influence of individual meteorological factors on local PM2.5 concentration in the Jing-Jin-Ji region. Sci. Rep., 2017, 7.
9. Dan, M., Fusaroli, R., Tylén, K., Roepstorff, A., Sherson, J.F., Causal inference from noisy time-series data — testing the convergent cross-mapping algorithm in the presence of noise and external influence. Future Gener. Comput. Syst. 73 (2017), 52–62, 10.1016/j.future.2016.12.009.
10. Deyle, E.R., Sugihara, G., Generalized theorems for nonlinear state space reconstruction. PLoS One, 6, 2011, e18295, 10.1371/journal.pone.0018295 (pmid:21483839).
11. Deyle, E.R., Sugihara, G., Generalized theorems for nonlinear state space reconstruction. PLoS One, 6(3), 2011, e18295.
12. Galindo, N., Varea, M., et al. the influence of meteorology on particulate matter concentrations at an Urban Mediterranean Location. Water Air Soil Pollut. 215 (2011), 365–372.
13. Granger, C.W.J., Testing for causality: a personal viewpoint. J. Econ. Dyn. Control 2 (1980), 329–352.
14. Han, L., Zhou, W., Li, W., et al. Increasing impact of urban fine particles (PM2.5) on areas surrounding Chinese cities. Sci. Rep., 5, 2015, 12467, 10.1038/srep12467.
15. Hargreaves, G.H., Samani, Z.A., Reference crop evapotranspiration from temperature. Appl. Eng. Agric. 1:2 (1985), 96–99.
16. Hu, J., Ying, Q., Wang, Y., et al. Characterizing multi-pollutant air pollution in China: comparison of three air quality indices. Environ. Int. 84 (2015), 17–25.
17. Huang, Y., Dickinson, R.E., Chameides, W.L., Impact of aerosol indirect effect on surface temperature over East Asia. Proc. Natl. Acad. Sci. USA 103:12 (2006), 4371–4376.
18. Lanzinger, S., Schneider, A., Breitner, S., et al. Associations between ultrafine and fine particles and mortality in five central European cities—results from the UFIREG study. Environ. Int. 88 (2016), 44–52.
19. Li, Q., Wang, E., Zhang, T., Hu, H., Spatial and temporal patterns of air pollution in chinese cities. Water Air Soil Pollut., 228(3), 2017, 92.
20. Liu, C.M., Yu, J.J., Eloise, K., Groundwater exploitation and its impact on the environment in the north china plain. Water Int. 26:2 (2001), 265–272.
21. Liu, Q., Baumgartner, J., Zhang, Y., et al. Oxidative potential and inflammatory impacts of source apportioned ambient air pollution in Beijing. Environ. Sci. Technol. 48 (2014), 12920–12929.
22. Maher, M.C., Hernandez, R.D., CauseMap: fast inference of causality from complex time series. Peer J., 3, 2015, e824, 10.7717/peerj.824.
23. Pascal, M., Falq, G., Wagner, V., et al. Short-term impacts of particulate matter (PM 10, PM 10–2.5, PM 2.5) on mortality in nine French cities. Atmos. Environ. 95 (2014), 175–184.
24. Pearce, J.L., Beringer, J., Nicholls, N., et al. Quantifying the influence of local meteorology on air quality using generalized additive models. Atmos. Environ. 45 (2011), 1328–1336.
25. Qiao, L., Cai, J., Wang, H., Wang, W., Zhou, M., et al. PM2.5 constituents and hospital emergency-room visits in Shanghai, China. Environ. Sci. Technol. 48:17 (2014), 10406–10414.
26. Samani, Z., Discussion of “history and evaluation of hargreaves evapotranspiration equation” by George H. Hargreaves and Richard G. Allen. J. Irrig. Drain. Eng. 130:5 (2004), 447–448.
27. Sicard, P., Augustaitis, A., Belyazid, S., Calfapietra, C., De, M.A., et al. Global topics and novel approaches in the study of air pollution, climate change and forest ecosystems. Environ. Pollut. 213:45 (2016), 977–987.
28. Sugihara, G., May, R.M., Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature 344:6268 (1990), 734–741.
29. Sugihara, G., May, R., Ye, H., et al. Detecting causality in complex ecosystems. Science 338 (2012), 496–500.
30. Todorovic, M., Karic, B., Pereira, L.S., Reference evapotranspiration estimate with limited weather data across a range of mediterranean climates. J. Hydrol. 481:8 (2013), 166–176.
31. Vanderweele, T.J., Arah, O.A., Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology 22 (2011), 42–52.
32. Wang, G., Li, T., Zhang, W., Yu, Y., Impacts of agricultural management and climate change on future soil organic carbon dynamics in north china plain. PLoS One, 9(4), 2014, e94827.
33. Wang, G., Cheng, S., Li, J., et al. Source apportionment and seasonal variation of PM2.5 carbonaceous aerosol in the Beijing-Tianjin-Hebei Region of China. Environ. Monit. Assess., 187(3), 2015, 143.
34. Wang, R., Zou, X., Cheng, H., Wu, X., Zhang, C., Kang, L., Spatial distribution and source apportionment of atmospheric dust fall at Beijing during spring of 2008–2009. Environ. Sci. Pollut. Res. 22:5 (2015), 3547–3557.
35. Xu, W., Wu, Q., Liu, X., Tang, A., Dore, A.J., Heal, M., Characteristics of ammonia, acid gases, and pm for three typical land-use types in the North China Plain. Environ. Sci. Pollut. Res. 23:2 (2015), 1158–1172.
36. Yang, Y., Christakos, G., Spatiotemporal characterization of ambient PM2.5 concentrations in Shandong Province (China). Environ. Sci. Technol. 49:22 (2015), 13431–13438.
37. Yao, L., Lu, N., Spatiotemporal distribution and short-term trends of particulate matter concentration over china, 2006–2010. Environ. Sci. Pollut. Res. 21:16 (2014), 9665–9675.
38. Yao, L., Lu, N., Yue, X., Du, J., Yang, C., Comparison of hourly pm2.5 observations between urban and suburban areas in beijing, china. Int. J. Environ. Res. Public Health 12:10 (2015), 12264–12276.
39. Zhan, Z., Feng, Z., 2003. Estimation of land surface evapotranspiration in the western Chinese Loess Plateau using remote sensing. Geoscience and Remote Sensing Symposium 4, pp. 2959–2961.
40. Zhang, H., Wang, Y., Hu, J., et al. Relationships between meteorological parameters and criteria air pollutants in three megacities in China. Environ. Res. 140 (2015), 242–254.