Next Article in Journal
Flood Frequency Analysis for the Annual Peak Flows Simulated by an Event-Based Rainfall-Runoff Model in an Urban Drainage Basin
Next Article in Special Issue
An Overview of Hybrid Water Supply Systems in the Context of Urban Water Management: Challenges and Opportunities
Previous Article in Journal
Impact Assessment and Multicriteria Decision Analysis of Alternative Managed Aquifer Recharge Strategies Based on Treated Wastewater in Northern Gaza
Previous Article in Special Issue
Reservoir Operation Rules for Controlling Algal Blooms in a Tributary to the Impoundment of Three Gorges Dam
Article Menu

Export Article

Open AccessArticle
Water 2014, 6(12), 3828-3840; doi:10.3390/w6123828

Monitoring of Non-Point Source Pollutions from an Agriculture Watershed in South China

School of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510640, China
*
Author to whom correspondence should be addressed.
Received: 25 September 2014 / Revised: 22 November 2014 / Accepted: 1 December 2014 / Published: 8 December 2014
(This article belongs to the Special Issue Water Quality Control and Management)
View Full-Text   |   Download PDF [990 KB, uploaded 9 June 2015]   |  

Abstract

Understanding the characteristics of non-point sources (NPS) pollutions can provide theoretical support for improving water quality. Siheshui watershed located in south China was selected to explore the characteristics of NPS pollutions in rainfall-runoff process. In this small agricultural watershed, five flood events and one non-flood event were monitored, and the water quantity and quality constituents were measured. The event mean concentrations (EMCs) of pollutant constituents in runoff flows were estimated. It is shown that the EMCs of BOD5, CODMn, TSS, TP, TN, and NH3-N in the flood events are remarkably larger than those in the non-flood event. The antecedent precipitation has a large effect on the output of the pollutant concentration. The pollutant load fluxes of most pollutant constituents change synchronously with the runoff flows, and the synchronization relationship is better than that between the pollutant concentrations and the runoff flows. The Pearson correlation analysis indicates that the EMCs of CODMn, TP, and TSS are significantly correlated with rainfall runoff characteristics in the flood events, while BOD5, TN, and NH3-N show weak correlations. In addition, the mean concentration method was used to estimate the annual NPS pollution load. It is shown that the proportions of the NPS pollution load to the total pollutant load are more than 80% from 2008 to 2010. View Full-Text
Keywords: non-point source; pollutant concentration; pollutant load flux; correlation analysis; agriculture watershed non-point source; pollutant concentration; pollutant load flux; correlation analysis; agriculture watershed
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hu, H.; Huang, G. Monitoring of Non-Point Source Pollutions from an Agriculture Watershed in South China. Water 2014, 6, 3828-3840.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top