454
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

The environmental impact assessment of drainage systems: a case study of the Karun river sugarcane development project

, ORCID Icon &
Pages 185-195 | Received 21 Nov 2016, Accepted 06 Jun 2017, Published online: 22 Jun 2017
 

ABSTRACT

Saline water can be drained from the plant root zone by developing a drainage network; therefore, the lack of control strategies for soil salinity and the subsurface water level will result in high salinity and nutrient concentrations. In large drainage systems, this issue becomes more important due to the large amount of water drained into the environment. Therefore, an environmental impact assessment (EIA) should be conducted before undertaking such developments. Due to the importance of wetlands that may be affected by the sugar cane fields located in Khuzestan Province in Southern Iran, the EIA process was implemented to evaluate this project. Three scenarios of a pre-drainage system development, drainage system development without management issues, and drainage system development with management issues are considered to help reduce the amount of water drained and protect the wetland. The scaling weighting checklist method was used to categorize the data and to ensure that no potential influence was overestimated. The results show the necessity of the application of management practices and drainage system development to protect the Shadegan International Wetland. Development of the project in its current condition is not recommended. Applying wastewater management, including cultivating salinity-resistant plants, is recommended as the most effective method.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.