scholarly journals GeoAPEXOL, a web GIS interface for the Agricultural Policy Environmental eXtender (APEX) model enabling both field and small watershed simulation

2020 ◽  
Vol 123 ◽  
pp. 104569 ◽  
Author(s):  
Qingyu Feng ◽  
Dennis C. Flanagan ◽  
Bernard A. Engel ◽  
Lei Yang ◽  
Liding Chen
Author(s):  
Feng Pan ◽  
Qingyu Feng ◽  
Ryan McGehee ◽  
Bernard A. Engel ◽  
Dennis C. Flanagan ◽  
...  

2011 ◽  
Vol 54 (5) ◽  
Author(s):  
Annamaria Vicari ◽  
Giuseppe Bilotta ◽  
Sergio Bonfiglio ◽  
Annalisa Cappello ◽  
Gaetana Ganci ◽  
...  

Author(s):  
G. A. M. Narciso ◽  
D. C. Fargas Jr. ◽  
C. G. Candido ◽  
J. M. Medina ◽  
M. L. P. Tinio ◽  
...  

Abstract. This paper presents the development of MASDAN, an integrated platform consisting of a mobile application and a web-GIS interface for monitoring the Manila Bay environment. The MASDAN mobile application uses citizen science and Volunteered Geographic Information (VGI) to collect data on specific environmental issues. It also serves as an information, education, and communication (IEC) tool for its users. The MASDAN Monitoring Interface is a centralized citizen report assessment tool for local authorities and environmental agencies to validate and monitor environmental reports within their area of jurisdiction. These two components create a two-way flow of information between citizens and authorities, ensuring prompt and information-driven actions to environmental issues affecting the Manila Bay and linked environments.


2010 ◽  
Vol 53 (3) ◽  
pp. 711-740 ◽  
Author(s):  
P. W. Gassman ◽  
J. R. Williams ◽  
X. Wang ◽  
A. Saleh ◽  
E. Osei ◽  
...  

2018 ◽  
Vol 615 ◽  
pp. 47-58 ◽  
Author(s):  
Eun-Mi Hong ◽  
Yongeun Park ◽  
Richard Muirhead ◽  
Jaehak Jeong ◽  
Yakov A. Pachepsky

Author(s):  
I. Kuznetsov ◽  
E. Panidi ◽  
V. Korovka ◽  
V. Galkin ◽  
D. Voronov

Abstract. In 2019–2020, we conducted a set of case studies devoted to the investigation and design of a methodology for GIS-based support of medical administration and planning on a city scale when accounting and controlling infectious disease. The studies were conducted for the administrative territory of St. Petersburg city (Russia), and were based upon the medical statistics data collected and accounted by St. Petersburg medical administration. The statistics included data on tuberculosis, human immunodeficiency virus and hepatitis infection. All the medical data used in the study are impersonalized. GIS-based MDMS prototype was developed upon the QGIS software.Moving forward in the previously formed study direction, now we are working on MDMS interface redesigning to facilitate its usability. Current activities are focussed on incorporation of the Web interface into previously developed MDMS prototype. The paper discusses development of the Web GIS interface prototype, and poses feature research and development aims. First feedback collected from medicals makes it possible to pose a Web-GIS-based MDMS as more flexible and easy to use, in comparison to the desktop-GIS-based.


2019 ◽  
Vol 111 ◽  
pp. 368-374 ◽  
Author(s):  
Qingyu Feng ◽  
Bernard A. Engel ◽  
Dennis C. Flanagan ◽  
Chi-hua Huang ◽  
Haw Yen ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 606 ◽  
Author(s):  
Amirreza Sharifi ◽  
Sangchul Lee ◽  
Gregory McCarty ◽  
Megan Lang ◽  
Jaehak Jeong ◽  
...  

The Agricultural Policy/Environmental eXtender (APEX) model has been widely used to assess changes in agrochemical loadings in response to conservation and management led by US Department of Agriculture (USDA). However, the existing APEX model is limited in quantification of wetland water quality functions. This study improved the current model capacity to represent wetland water quality functions by addition of a new biogeochemical module into the APEX model. The performance of an enhanced APEX model was tested against five observed outgoing water quality variables (e.g., sediment, organic N, NO3, NH4 and PO4) from a wetland within the Eastern Shore of Maryland. Generalized Likelihood Uncertainty Estimation (GLUE) was implemented to assess model uncertainty. The enhanced APEX model demonstrated that it could effectively represent N and P cycling within the study wetland. Although improvement of model performance was limited, the additions of wetland biogeochemical routines to the APEX model improved our understanding of inner mass exchanges within N and P cycling for the study wetland. Overall, the updated APEX model can provide policymakers and managers with improved means for assessment of benefits delivered by wetland conservation.


Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 592 ◽  
Author(s):  
Goehring ◽  
Verburg ◽  
Saito ◽  
Jeong ◽  
Meki

Cultivation of highly salt-tolerant plants (i.e., halophytes), may provide a viable alternative to increase productivity compared to conventional salt-sensitive crops, increasing the economic potential of salt-affected lands that comprise ~20% of irrigated lands worldwide. In this study the Agricultural Policy/Environmental eXtender (APEX) model was adapted to simulate growth of the halophyte quinoa, along with salt dynamics in the plant-soil-water system. Model modifications included salt uptake and salt stress functions formulated using greenhouse data. Data from a field site were used to further parameterize and calibrate the model. Initial simulation results were promising, but differences between simulated and observed soil salinity and plant salt values during the growing season in the calibration suggest that additional improvements to salt uptake and soil salinity algorithms are needed. To demonstrate utility of the modified APEX model, six scenarios were run to estimate quinoa biomass production and soil salinity with different irrigation managements and salinities. Simulated annual biomass was sensitive to soil moisture, and root zone salinity increased in all scenarios. Further experiments are needed to improve understanding of crop salt uptake dynamics and stress sensitivities so that future model updates and simulations better represent salt dynamics in plants and soils in agricultural settings.


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