The Kaoping River basin is the largest and the most intensively used river basin in Taiwan. It is 171 km long, drains a catchment of more than 3,257 km2, and has a mean flow of 239 m3/s. It serves as a water supply to the Kaohsiung City (the second largest city in Taiwan), several towns, two counties, and a number of large industries (electronic, steel, petrochemical, etc.). Although the mean annual rainfall in this river basin is close to 3,000 mm, over 90% of which appears in the wet season. The period of high flow rate in the stream usually occurs in the late spring and summer due to the impacts of monsoon and typhoon. Non-Point Sources (NPS) pollutants, which are associated with stormwater runoff from agricultural land uses can be quite diffuse and difficult to treat. In this study, land use identification in the basin was performed by properly integrating the skills of geographic information system (GIS) and global positioning system (GPS). Remote sensing image and Digital Elevation Model (DEM) of Kaoping River Basin were applied for the land use identification task. An integrated watershed management model (IWMM) was applied for simulating the water quality and evaluating NPS pollutant loads to the Kaoping River. The watershed was divided into catchments and river segments. The land use patterns were defined by the surface coverage of each catchment. The underneath soil can have several layers, and each land use has its vegetation characteristic and erosion coefficient. The model was calibrated and verified with field data from water quality monitoring stations. The calibrated model was used to develop best management practices (BMP). Moreover, the Water Quality Analysis Simulation Program (WASP) was also applied for the water quality simulation. The model was calibrated and verified with water quality data, and the model was used to analyze the impacts of NPS loading on water quality. The major objectives of this study were to (1) investigate and identify the current contributions of NPS pollutants to the Kaoping River pollution, (2) perform the land use identification and construct the watershed GIS to effectively manage the watershed, (3) perform water quality and soils sampling and analyses, (4) apply multimedia models for NPS pollution evaluation and water quality simulation, and (5) evaluate the effectiveness of the applied remedial strategies on watershed management and water quality improvement. This study identified major land-use patterns in Kaoping River Basin using SPOT images and GIS/GPS/RS techniques. The major findings from the GIS, field, and modeling tasks include the following: (1) Fourteen types of land-use patterns in the watershed area of the basin were classified with the aid of the Erdas Imagine process system; (2) Orchard gardens, rice paddies, sugarcane fields, betel palm farms, and tea gardens dominate the farmland areas in the basin and are scattered around on both sides of the river corridor; and (3) Simulated results indicate that NPS pollution plays a significant role in the deterioration of the downstream water quality of Kaoping River and caused a significant increase in suspended solids loads into the basin¡¦s water bodies. Concern about the deteriorating condition of the river led the Government of Taiwan to amend relevant legislation and strengthen the enforcement of discharge regulations to effectively manage the river and control pollution. Based on the results of this study, application of BMPs [e.g., source reduction, construction of grassy buffer zone, and land-use management] for NPS pollutant control are required. Multimedia modeling results indicate that the application of the following specific BMPs can reduce the effects of NPS suspended solids pollution on the water quality of Kaoping River: (1) Conversion of farmlands on hillsides of the upper catchment to forest; and (2) Conversion of rice paddies and agricultural lands to buffer zones (e.g., grassy strip, detention pond, and constructed wetland) along the riverbank areas of the three sub-basins. With application of these two proposed BMPs, the peak suspended solids concentrations in the wet seasons could be significantly reduced. Results and experience obtained from this study will be helpful in designing the watershed management strategies for other similar river basins.

The west coast of Taiwan is densely populated with frequently activities for industrial and economic developments. The area is also the site with the existence of Chinese White Dolphin (CWD). Because the arising of ecosystem conservation, the government has attempted to promote the west coast as the marine protected areas (MPAs) for the CWD. Nevertheless, it is required to assess changes of environmental condition and marine environmental quality around the area before the establishment of marine protected areas to the site. If ineffective monitoring is implemented, then the establishment of marine protected areas will be no use. This study was initiated to assess the marine environmental condition by collecting and surveying the long term monitoring data that were published under the government reports and documents to assess the temporal and spatial trends of environmental factors. The data consists of rivers, trench, and marine water or sediments. The study areas covered Taichung County to Yunlin County. The methods for assessing the environmental quality included the use of geographic information system (GIS) for the biological distribution, regression analysis for the trend monitoring of chemical contaminants and physical environmental factors between 2001 ¡V 2010 year surveys. The overall environmental quality within the studied sites were further evaluated for the river pollution index (RPI) and the habitat suitability index (HSI). The survey results of 10 years river monitoring from Taichung to Yunlin showed that Hsin-Huu-Wei River belong to serious pollution with RPI 6.67 value. Yuanlin drainage, one of the six drainages of Chang Hua Coast Industrial Park, belongs to serious pollution with RPI 6.08 value. The RPI results of Six trenches around the Chang-Hua Coast Industrial Park showed that Tien-Wei trench 2, Lun-Wei trench 1, and Ji-An trench belong to mid level of pollution (RPI 3.7~3.975). In the marine water survey, the results showed that the pH values were found lower at southern-ward monitoring station nearby the Formosa Petrochemical Corporation No. 6 Naphtha Cracking Industry site. The nitrogen-NH3 concentrations were found high in Jhuo-Shuei River and No. 6 Naphtha Cracking industry. The concentration of Chlorophyll-a was high in Chang-Hua Coast Industrial Park. In the survey of sediment, Hsin-Huu-Wei River arsenic concentration (As) was over the EPA guidelines, but the concentrations of Cr, Cu, Pb, Zn were within the level of required limits. In the biological survey, the results showed that abundance and species were not evenly distributed with non-comprehensive trends related to the environmental condition or changes. These indicated that biological monitoring survey displayed less important than physical and chemical monitoring for the assessment of man-made pollution or environmental impact from the industrial activities. Overall the monitor sites of river, drainage and trench were differed without a consistent sampling scheme. The offshore sites were sampled greatly in distance, i.e. the farthermost point at four sea miles that had caused difficulties for the comparison of data results collected in different time. It is very uneasy to evaluate the pollution monitoring results. Thus, it is required to develop a long-term environmental quality monitoring plan for the assessment of water quality and sediment of river and marine water with appropriate / consistency sampling method, monitor time and site scheme. Finally, the relevant authorities should implement river remediation to improve the pollution and thereby to maintain the sustainability of marine environment. It is required to establish an integral monitoring program consisting of water and sediment and bio-monitoring in rivers, estuary, and marine to better predict the marine environmental quality. Also the integral and long-term monitoring program should ensure to predict the changes of west coastal and to achieve the effectiveness of marine environment.

The west coast of Taiwan is enriched with biological resources. The areas are the economic development sites with highly industrialized activities and densely population. The government attempts to promote the sites for the establishment of marine protected areas (MPA) because of the existence of Chinese White Dolphin (Sousa Chinensis) which is the most important issues against the sustainable development of economy. Thus, the present study was initiated to assess the marine environmental quality (MEQ) in the west coast of Taiwan. The research consists of the integral monitoring assessments of rivers, estuaries and the marine areas. This work collected, reviewed and analyzed the environmental monitoring data from industrial environmental impact assessment reports and governmental documents for the evaluation of spatial and temporal trends of the west coast areas over the last ten year. The assessment is required to understand the possible interactive problems between the marine protected areas and the marine environmental quality prior to the establishment of MPA acts. The present work consists of the subsection of coastal areas ranging from Hsinchu Country to Taichung Harbour. Ten annual monitoring data including the water quality or sediments of rivers, estuaries, and marine were assessed for the spatial and temporal trends of physical, chemical and biological changes over the years. The approaches for assessing the sites included the geographic information system (GIS) spatial analysis method and linear regression of monitoring data. The levels of pollution were also evaluated by using the river pollution index (RPI). The effect of habitat suitability index (HSI) was also calculated. The results of river water quality assessment showed that the Ke-ya-si, Jhong-gang river, and Nan-gan river were seriously polluted with RPI¡Ö6. The river seiment contaminants (Cu¡BNi) were significantly increased in the Ke-ya-si and Jhong-gang river. The water quality of Taichung Port drainage showed serious pollution with low dissolved oxygen (DO), high concentrations of ammonia nitrogen, and high counts of coli-forms. The Taichung Port drainage sediment contaminants (As¡BCu¡BHg¡BZn) had higher than the average of EPA guidelines. This could be resulting from the significant point source of industries pollutants discharged into the river. The significant amounts of waste water discharged into ocean could cause the impacts to the marine environment. The present study demonstrated the impacts to the river monitoring site although the ocean water quality monitoring contaminants were found without signicant changes in all time. This suggests that the ocean water quality monitoring sites were inconsistently sampled at 4 nm away from the coast which caused the dilution of contaminant concentrations and affecting the monitoring effectiveness. The sediment contaminants in Taichung Port monitoring site showed with the exception of appearing unusual change. The results also showed that there is lack of bio-monitoring program carried out in rivers, estuary, and marine that are imperatively needed to resolve the ineffective sampling protocol implemented in the current coastal environmental monitoring. This is owing to the non unified for authorization between the municipality and environmental bureau. The Canada Ocean Acts on assessing the water and sediment and bio-monitoring in rivers, estuary, and marine as a whole concept were compared with the present study. Finally, the relevant authorities should implement river remediation to improve the pollution and thereby to maintain the sustainability of marine environment. It is needed to establish an integral monitoring program consisting of water and sediment and bio-monitoring in rivers, estuary, and marine to better predict the marine environmental quality. Also the integral and long-term monitoring program should ensure to predict the changes of west coastal and to achieve the effectiveness of marine management.