Origins and status of TMDL regulations -- TMDL development approaches -- Stakeholder involvement in TMDL policy decisions -- TMDL case studies -- Approaches to developing a TMDL implementation plan -- Bacterial source tracking : concept and application to TMDL -- Taxonomy of effluent trading programs : concepts and applications to TMDLs -- Assessment of the value of new information for adaptive TMDLs -- Use attainability analysis : principles and case studies
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Section 303(d) of the Clean Water Act requires states to identify water that is impaired by pollution, even after application of pollution controls. For those waters, states must establish a total maximum daily load of pollutants to ensure that water quality standards can be attained. This report contains background information, implementation, and issues for Congress as relating to the Clean Water Act.
Section 303(d) of the Clean Water Act requires states to identify water that is impaired by pollution, even after application of pollution controls. For those waters, states must establish a total maximum daily load of pollutants to ensure that water quality standards can be attained. This report contains background information, implementation, and issues for Congress as relating to the Clean Water Act.
Section 303(d) of the Clean Water Act requires states to identify water that is impaired by pollution, even after application of pollution controls. For those waters, states must establish a total maximum daily load of pollutants to ensure that water quality standards can be attained. This report contains background information, implementation, and issues for Congress as relating to the Clean Water Act.
The Citarum River is a strategic river in Indonesia, but has poor water quality. The existing pollution control program has no impact on the river's water quality, because it uses a regulatory approach and prioritizes industrial sources. To improve the quality of the river, every pollutant source needs to reduce the pollution load discharged into the river based on the ability of the river to receive pollution. The purpose of this study was to measure pollution load allocation based on the total maximum daily load (TMDL) of the river. The results show that non-point sources contribute the highest pollution load (85%) compared with point sources (15%). The results of the measurement of pollution load allocation showed that the highest contribution of pollution load was from domestic waste (83.5%), followed by industrial waste (6.6%). The target of pollution load reduction for domestic sources is 81.8%, and for industries is 79.5%. The improvement of river water quality should be started at tributaries and domestic sources. This study can be used by local governments to develop water pollution control programs, for instance as a basis for determining the wastewater discharge permit of pollutant sources and permit trading.