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Applying Water Quality Modeling to Regulating Land Development in a Watershed

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  • Chun-hsu Lin
  • Te-hsiu Huang
  • Daigee Shaw

Abstract

Achieving a balance between land development and environmental protection has always been a challenge for many policy makers around world. The purpose of our project is to build a management system for protected drinking water source watersheds where land development is restricted for reasons of water health and drinking safety. Ideally under this proposed management system, land development is not considered taboo, but can proceed with preconditions. We first divided a protected area into two protection zones for different types of regulations. In the first zone, any type of land development is strictly prohibited, as the currently dominant philosophy for watershed protection. In the second zone, development is allowed but only when a permit with more environmental protection requirements is granted by a responsible governmental agency. In response to land development regulations, we proposed three compensation programs to the landowners of the protected watersheds to reduce their resistance on the inclusion of their properties into the designated protected areas. How to delineate and divide a protected area for different levels of regulation is thus a concern of all parties involved in management and compensation programs. In this paper, we demonstrate a case study on the Kao-Ping River Watershed, a subtropical watershed with highly heterogeneous land uses and a wide range of elevations in southern Taiwan. Through this study, we empirically examined the feasibility of the proposed management and compensation schemes. The targeted water pollution abatement goals were regarded as the basis of determining the area requirements for these two types of protection zones. Under this principle, the Arc/View GIS software and two water quality prediction models, QUAL2E and GWLF, were repeatedly applied to simulate the effects of water pollution reduction with different acreage of development-restricted areas. The optimal areas of the protected zones from the modeling results were further used to estimate the amounts of compensation fees based on the three following mechanisms: land banking, conservation easement, and transferable development rights. Copyright Springer Science+Business Media B.V. 2010

Suggested Citation

  • Chun-hsu Lin & Te-hsiu Huang & Daigee Shaw, 2010. "Applying Water Quality Modeling to Regulating Land Development in a Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(4), pages 629-640, March.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:4:p:629-640
    DOI: 10.1007/s11269-009-9462-x
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    References listed on IDEAS

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    1. M. Naik & E. Rao & T. Eldho, 2009. "Finite Element Method and GIS Based Distributed Model for Soil Erosion and Sediment Yield in a Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 553-579, February.
    2. P. Dabral & Neelakshi Baithuri & Ashish Pandey, 2008. "Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1783-1798, December.
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    1. Jian Sha & Zeli Li & Dennis Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    2. Jian Sha & Zeli Li & Dennis P. Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    3. Melissa Watanabe & Lúcia Gama Madruga & Cristina Yamaguchi & Adriana Vieira & Roseli Jenoveva-Neto, 2014. "Decision Making and Social Learning: the Case of Watershed Committee of the State of Rio Grande do Sul, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3815-3828, September.
    4. Martin Roestamy & Mohamad Ali Fulazzaky, 2022. "A review of the water resources management for the Brantas River basin: challenges in the transition to an integrated water resources management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11514-11529, October.
    5. Peter Hobson & Rolando Fabris & Emily Develter & Leon Linden & Michael Burch & Justin Brookes, 2010. "Reservoir Inflow Monitoring for Improved Management of Treated Water Quality—A South Australian Experience," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4161-4174, November.
    6. Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, February.

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